swmathid,cvs,swhid
4503,https://github.com/cran/dlm,swh:1:snp:e9e31cc35f3677801b896fc4d84f1c26fd3df3d2
4532,https://github.com/cran/rms,swh:1:snp:3f97c8fa7714065b16fa022ae54522c6b783e3a3
4563,https://github.com/cran/kknn,swh:1:snp:26be2086c6f3bb6ae8fbfd9d24fe93f1554a1afc
4566,https://github.com/cran/ade4,swh:1:snp:983e580cb214801b255d74f9f72b1d3a2058726c
4585,https://github.com/cran/RLRsim,swh:1:snp:35b1a0340897793626968c41ddfae45da8492021
6071,https://github.com/cran/penalized,swh:1:snp:37f4a8ac2cdb9e6573f20161f06860326ac17301
7295,https://github.com/cran/tcltk2,swh:1:snp:14f63b6d2cb31ba1b7493e2501af2678ef17cf73
7986,https://github.com/cran/maptools,swh:1:snp:826901e049878087bdc9deb1b2e8076b43d5f79b
8024,https://github.com/cran/adabag,swh:1:snp:99d777f31f8ea68f4035f81023b73e6e2fe141a2
8032,https://github.com/cran/Boruta,swh:1:snp:7eb76d8634f8aef819ba469178f11792c15ce445
8068,https://github.com/cran/timereg,swh:1:snp:44095889fc23e1615b2bb7fe5f46bfebe51ed1b7
8205,https://github.com/cran/POT,swh:1:snp:070362ad507a86cadc677c1b5738a2da709dfa9a
8213,https://github.com/cran/mlegp,swh:1:snp:e9049cf9e5080e6b744050bad12c184f94f774c1
8295,https://github.com/cran/gdistance,swh:1:snp:94f409ae0ab323f310dcb128d4618f24a4adf5d3
8306,https://github.com/cran/Picante,swh:1:snp:78e7a1e9fd815bc6488ccf62c3c1e8012426a4a0
8676,https://github.com/cran/MESS,swh:1:snp:a63f68c705416345aba60f6019592829b51f0fc0
9315,https://github.com/cran/MICE,swh:1:snp:433b2d75270f09acfb1ad1a8c961393512478a31
9505,https://github.com/cran/ada,swh:1:snp:1fe852ab0e4fbf848b78dc873cbf1cc24d46ec00
10016,https://github.com/cran/misc3d,swh:1:snp:d9ebd1e521b09d8ae3bea15c6f772a8851f5cd55
10624,https://github.com/cran/CORElearn,swh:1:snp:549aa41f40bf666e7229d0bb587aa2bc97eab41d
10625,https://github.com/cran/corrplot,swh:1:snp:43ea2f5e8c3607171ba3c04966b829052c052e87
10907,https://github.com/cran/peperr,swh:1:snp:7b2677c66cb49ff5c98dfd9f7524380c54fd2afe
11052,https://github.com/cran/neuralnet,swh:1:snp:8a52603247f8332e97f044df36d9ca925076cff2
11391,https://github.com/cran/LaplacesDemon,swh:1:snp:269d7ea73de9bdd191d6c7bcd0a3b21fb9526556
11799,https://github.com/cran/Mlogit,swh:1:snp:9235020f0c7376857cb4b895352141ee6257df67
11933,https://github.com/cran/StatMatch,swh:1:snp:5de1698c81c4b9d0f1450fb34cea723b81ecc5a8
11938,https://github.com/cran/lavaan.survey,swh:1:snp:a4057eb1411009aa5aeb2befe8dc805b0571a804
12947,https://github.com/cran/DescribeDisplay,swh:1:snp:29f51606b5f2aad12da5c07d755b9b522c8e996a
13220,https://github.com/cran/gamm4,swh:1:snp:330777e9de5b32542145116787ee753a84a1be44
14745,https://github.com/cran/Label.switching,swh:1:snp:c62ad3c1594bf6a22bdf0ff181b91e42b2e2a015
14870,https://github.com/cran/abctools,swh:1:snp:69aec4b5821a64b288db6b0715e34f9c816f4a78
14871,https://github.com/cran/abc,swh:1:snp:d7c70bbfb4062aab244a6ef5291dc5ef055391fb
15005,https://github.com/cran/BNPdensity,swh:1:snp:44ee5d2ebc9aae83b243574090d211514014a9d1
15752,https://github.com/cran/ggtern,swh:1:snp:e2dff206b9d61ec26a4628962b247c4244650a5e
15799,https://github.com/cran/grpreg,swh:1:snp:3f8ecc88f5f0f4f1c872e8e59606ced096cf28e2
15816,https://github.com/cran/pec,swh:1:snp:1013390f8a5e096ffaa5691d19743fdf7351d476
15838,https://github.com/cran/penalizedSVM,swh:1:snp:2b24cea33a31b66fac58f2e449ae7281a05dcfd6
16060,https://github.com/cran/StableEstim,swh:1:snp:80d53a61f7271eff8249ae1d1c0c2ca10d6f58e1
16323,https://github.com/cran/InformativeCensoring,swh:1:snp:cc3fd52e9dcb7e7b9f307031a3a26f40add368b9
16500,https://github.com/cran/bedr,swh:1:snp:9d0d23bacab3f67edc672682d8f68c3d76543430
16569,https://github.com/cran/mvnfast,swh:1:snp:a04675f6ba03fb04ab1d509344c60cb7c5700a24
17210,https://github.com/cran/crch,swh:1:snp:7e5a8a4246ffa3c4e78fb0b7b0f6fb33e123f4e7
17556,https://github.com/cran/robumeta,swh:1:snp:8033f3693744fd1a2e497c867e4d97b5682aacee
17726,https://github.com/cran/GAS,swh:1:snp:befe93225465c4d51cf0a2943e83cef6438c2239
17731,https://github.com/cran/TH.data,swh:1:snp:4bfe87af4624cd6a8e00fad4c5129b0e2078672d
17862,https://github.com/cran/parallelMap,swh:1:snp:f6dfda52060fbb6272ec0c89043bc57e4dfd8d83
18013,https://github.com/cran/colourpicker,swh:1:snp:c6266ab4898596b92f3216182cbe652c9a7c3736
18440,https://github.com/cran/marmap,swh:1:snp:ee151c4c40be5d1d022a34bfb21d0702bd4695a8
18459,https://github.com/cran/forestplot,swh:1:snp:f6457769a394b493a666333f0f30efeee1ebf710
19048,https://github.com/cran/survMisc,swh:1:snp:c1f48442d2ebc2a8862d655a4d7dd19fb4f289ef
19266,https://github.com/cran/rqPen,swh:1:snp:d2d8c2eb43a22ee05a9a4ec13d665c46a55e5184
19322,https://github.com/cran/rgeos,swh:1:snp:4b36e158b8a6d326230c36454d2e2793bd3a3ec6
19339,https://github.com/cran/tidytext,swh:1:snp:ea010731bef8577199a4e649dc0e8bd4f6d70ed9
19482,https://github.com/cran/jomo,swh:1:snp:44e5d9e3d715085b6690fdf7bfb467f526c160f0
20802,https://github.com/cran/ggfortify,swh:1:snp:4681ff03cd0b9b46a408768559a599a6447e0da4
21375,https://github.com/cran/scoringRules,swh:1:snp:50ee49b8f4dbfdcebc0c0f3967539229dbd6e7a1
23419,https://github.com/cran/mitools,swh:1:snp:7ba97c726939fdc153ee641753d7ea86e3f44ce0
23537,https://github.com/cran/popdemo,swh:1:snp:5312fbff68852f6cbb602ac1b1abae05e8879719
24088,https://github.com/cran/estimability,swh:1:snp:935764cbe6d9d276ced71edc3f758eee6dcf43a3
24225,https://github.com/cran/BNSP,swh:1:snp:e34d1aa11f042d824f58b9bbd972b2a8d1307c1c
24264,https://github.com/cran/SSN,swh:1:snp:63df8a762f168499dd1e62b959f2aa42fe9a6a0e
24284,https://github.com/cran/c060,swh:1:snp:50f2a6553f6c9be479ea7a6b3151a5c0dcfc775d
24306,https://github.com/cran/Iso,swh:1:snp:e60c3cd5d55bcfe7e9bff2825f6195a4460f949e
24451,https://github.com/cran/rockchalk,swh:1:snp:0814a7d5c6d057ff67a3ddd87b878b1832fde166
24517,https://github.com/cran/Hotelling,swh:1:snp:9d5ed72c17c58e592308d3446dd3ca3295514b10
24793,https://github.com/cran/lmodel2,swh:1:snp:9f8adae4bae422f3d1121ab7b34bfbcd4560df28
24800,https://github.com/cran/elliptic,swh:1:snp:0c6ae2c7f220b55b044e3e5c6615655a58430fcf
25033,https://github.com/cran/ThresholdROC,swh:1:snp:922fa7443f28b16807ecd5454daa0fa056446208
25116,https://github.com/cran/MLEcens,swh:1:snp:525fa5c366bd30d495dced3bd4756fdd913836c2
25151,https://github.com/cran/hypergeo,swh:1:snp:9348e4ce9974ad690d01803121ed9b713481708e
25273,https://github.com/cran/mapdata,swh:1:snp:1a15137ef2f1ce0cdce14a34082b562bd6ec17a4
25500,https://github.com/cran/inflection,swh:1:snp:5b7f08e0cd99052637e49a76dbb20ef05c07a218
25535,https://github.com/cran/maxstat,swh:1:snp:26fc145af0dbfacaec958065100154c2bc67314f
25925,https://github.com/cran/relimp,swh:1:snp:4d61f5c1c3093a6c9a2531ec37d8d0ffdb1adeb1
26037,https://github.com/cran/shinyAce,swh:1:snp:fe5a8101f97773126ac70f9fe72c306c3dc4deec
26783,https://github.com/cran/betapart,swh:1:snp:e28acb1b8a3c80f7163453b3ecfc2a0e7699d6a1
27375,https://github.com/cran/adehabitatMA,swh:1:snp:d19b3f0e57e2269295a14451bf93dedc8ed09825
28102,https://github.com/cran/jmuOutlier,swh:1:snp:ae46440609b80684bbbdd9105205b139abacc3c0
28140,https://github.com/cran/survminer,swh:1:snp:ba0eea7ce58dce461427d6d973aebe639c7b5e37
31516,https://github.com/cran/tidybayes,swh:1:snp:9fee526ec0ce6921d3c9b864209d28cd169b602e
32069,https://github.com/cran/cOde,swh:1:snp:68dd6727597b77540da273935a4968dea5907091
32395,https://github.com/cran/basefun,swh:1:snp:545853af4d59e1eeb8ecfe3339286c490efb9e35
32396,https://github.com/cran/variables,swh:1:snp:a15d5bf3e9a1da32adb7a9693b9d9a63ff284e2e
32752,https://github.com/cran/triangle,swh:1:snp:d6891fc6d0d474252f8e9a6e75ead848862be50b
34220,https://github.com/cran/pspearman,swh:1:snp:b04b51ff9ff50a503a6a7c709ed1e4ee827bb2d5
34835,https://github.com/cran/pammtools,swh:1:snp:064076b4912d4404ed89485e091ba9e8c22bfd98
35246,https://github.com/cran/TSSS,swh:1:snp:5bf7652c0223ace5bb6aedf7bb04db461df271e0
35578,https://github.com/cran/dfidx,swh:1:snp:d17deb2bd049684df1fd55373b561d8477b7a1a9
36224,https://github.com/cran/feasts,swh:1:snp:a4a84185460c095b7cda6f8f2636bda7d78c1e28
36714,https://github.com/cran/latex2exp,swh:1:snp:ed94d2535a23ca81f679f466cd8103af2420e2cc
37237,https://github.com/cran/rsvg,swh:1:snp:b4074f61e2752857541bff72175c4e0cf1bd690b
38595,https://github.com/cran/flexdashboard,swh:1:snp:8994fe3ffd28078cd2d105b70d4b5049c70f4343
42816,https://github.com/cran/table1,swh:1:snp:47e9000a1050f195b66c677f47e2478ae808d208
42777,https://github.com/cran/wpp2019,swh:1:snp:10f03e22088a70f9f072a935972d246241df066a
42416,https://github.com/cran/Rcatch22,swh:1:snp:5298fcb7a81d76b2c2ea96732537b4ff6ce04e03
41432,https://github.com/cran/stlplus,swh:1:snp:05e01fb7d417182c3d3e97beca1731d5de6bd16f
40733,https://github.com/cran/qqconf,swh:1:snp:396d471a9bfececdafc648497919e14855a819dd
46686,https://github.com/cran/glpkAPI,swh:1:snp:bbc6fac159e1f166d506d2be39be8cdc0fcecb2c
45472,https://github.com/cran/condSURV,swh:1:snp:fa41210bfc11e0d93e9ef0f3ab3e66431318ce5a
46027,https://github.com/cran/randomizr,swh:1:snp:c4f519e12c823f7aeded9abac6dd95bfc151954f
4358,https://github.com/cran/car,swh:1:snp:6c8c284a58be9798daa0407f65cd5dd1fc808d34
4478,https://github.com/cran/lmtest,swh:1:snp:33f5619b940d0f3b060a064b1865cc414d4bd4f8
4529,https://github.com/cran/nortest,swh:1:snp:d7c9e99000c836a4b6e82e52502e4e0bb34cbace
4530,https://github.com/cran/Hmisc,swh:1:snp:0209d1d67ea79e040184c21d0c9f81a6332fa2ad
4534,https://github.com/cran/colorspace,swh:1:snp:ec9123555d9a820c2a2c639b94d28734563df6e0
4556,https://github.com/cran/reshape,swh:1:snp:dd30642d1c9a26e40f912ff6994c75217f381675
4569,https://github.com/cran/ape,swh:1:snp:6ebc1adf2a902e6783729bc0f74956026a86b0db
6087,https://github.com/cran/flexmix,swh:1:snp:e60085cbe878fea1e2bfca9e21c74eb42dc3e594
6099,https://github.com/cran/gss,swh:1:snp:3844e164e122de45a447e2dc489449828a7d7f05
7922,https://github.com/cran/nnet,swh:1:snp:5decc9019daa5370253b148801b900a4c7c1ae6e
8043,https://github.com/cran/foreach,swh:1:snp:68fafb3156d76ba9862fc88b19e9afb11845be5e
8059,https://github.com/cran/sn,swh:1:snp:b41fd3a6cf708dba9ff12c8052ac51285fc1fdbb
8135,https://github.com/cran/lhs,swh:1:snp:67ea94313d4865cde0cddb739a5f2087890b3f07
8179,https://github.com/cran/ncvreg,swh:1:snp:b44528f5da53ca6caec85af24d96db1b07b7bf2c
8311,https://github.com/cran/phangorn,swh:1:snp:8bab1751b4fbc198f5ec5b212f7a7c32b7d06f4f
10634,https://github.com/cran/partykit,swh:1:snp:6765cf014fb4528894c34be20967d2b61265ff86
10635,https://github.com/cran/plyr,swh:1:snp:cfcb93252c131ae51d19ef16d8bde21884116866
10640,https://github.com/cran/reshape2,swh:1:snp:747230e3e5f1c0c7e3d23a6c8f743e77dfe3fde8
11188,https://github.com/cran/RColorBrewer,swh:1:snp:3d822955869479f6330441dade82793fbbcaa1fb
11618,https://github.com/cran/nloptr,swh:1:snp:6821d2f71622665f9d7486e4a64d7ba193bcad40
11621,https://github.com/cran/numDeriv,swh:1:snp:7a9ba60dc3fd447f3af96cd1503a6db6e42deeb6
11631,https://github.com/cran/Rsolnp,swh:1:snp:c80e712ed7b271245ad89504159261b3cca29a97
12196,https://github.com/cran/plsRglm,swh:1:snp:7c3cb80a820a96c0f4bebf0e7cfe7e6188a5c77c
12198,https://github.com/cran/plsRbeta,swh:1:snp:dcaab56429d99f461d385f97dbdb73ab5c715250
12291,https://github.com/cran/metafor,swh:1:snp:86b8fc6c0d931f7c256b162f5a3406c168d63faf
12416,https://github.com/cran/doParallel,swh:1:snp:9e237295e4cb0cb01a3f5c368216b67a29736c74
13269,https://github.com/cran/gridExtra,swh:1:snp:52cdbd3a1cbbedfb35f23739dec9c0b4409a473c
14361,https://github.com/cran/gglasso,swh:1:snp:42ca123a99aa5da3a4b64e86b5769c9eb3842681
14368,https://github.com/cran/devtools,swh:1:snp:c54817e960cc38a470ff9623c9f87527d2a0d8c4
14397,https://github.com/cran/Lmertest,swh:1:snp:baa62dda17259381ba438789452f07c915983920
15449,https://github.com/cran/betareg,swh:1:snp:7f63cbbe9b5739a86af866809b5d5ad6478d2331
15570,https://github.com/cran/R6,swh:1:snp:4f4e62ce2a09b2740e73c10019f897c3a3248de2
15645,https://github.com/cran/backports,swh:1:snp:8b4a4f61bef4832cd460c33ec8ccef970ec14106
15798,https://github.com/cran/DJL,swh:1:snp:f90ab82207bfa627a7c8bb6971fd388c9736fe58
15979,https://github.com/cran/ggpubr,swh:1:snp:4231149928566b2f6cb81e717c1d63f425a411ba
16076,https://github.com/cran/timevis,swh:1:snp:264f210ec7ba3875cd27b042243f7c512fa7e382
16190,https://github.com/cran/urltools,swh:1:snp:3bbb63bf4871c7851af27feadcfc3a08562e57dd
17555,https://github.com/cran/shinyjs,swh:1:snp:ad41194b29067f5b0442ca5ddc06a5f2e14f818d
17777,https://github.com/cran/DGCA,swh:1:snp:0b125bd5da9142c058819837a87c1ea0916c67d7
18367,https://github.com/cran/crul,swh:1:snp:133886c3a020445ae3c193cd873438b42bef5db4
18439,https://github.com/cran/ENMeval,swh:1:snp:fefcc73a292f2540f95f8c5981493cf28cee8dc6
18726,https://github.com/cran/GEIGER,swh:1:snp:7b4c2e998afffaa6b44c91508b48b647dbe0bf4b
18842,https://github.com/cran/VennDiagram,swh:1:snp:e6f0d5989a496510a8344b70bb1b4dbf84f2488f
18937,https://github.com/cran/broom,swh:1:snp:75299aa7523d469be97edec2b46214be09811fd2
19099,https://github.com/cran/brms,swh:1:snp:2d71f7078f353e6a8294d37ddb44ed254395d45e
19320,https://github.com/cran/magrittr,swh:1:snp:60f836d6bc84a7f6778793cb7aa6378e1f72b5ac
19345,https://github.com/cran/assertthat,swh:1:snp:ed8d1f7606996bb91baeeeed6203a2510d830350
19351,https://github.com/cran/httr,swh:1:snp:72c52a3cb824e8a3c4aba4254f88a11b3cb84b7a
19354,https://github.com/cran/readxl,swh:1:snp:6982ba2cc062240d6525c72e4494be20ca4a3c2e
19359,https://github.com/cran/tibble,swh:1:snp:5212ec4f1766b74dcb428fdb009629bc76c94035
19805,https://github.com/cran/memoise,swh:1:snp:3bcb1818c41c34c81cdf392928d584ed510caa80
20442,https://github.com/cran/imputeTS,swh:1:snp:69fbd3f655c38531e073e8f634c37d78b4d14b5b
20882,https://github.com/cran/png,swh:1:snp:af06d97154a207f5722b8fbfd2075a2d54d15103
21023,https://github.com/cran/dismo,swh:1:snp:17e0fe560f1a3ed6db6b7b3fa26b997b42fa1a8f
21274,https://github.com/cran/purrr,swh:1:snp:771985344052d844124a2d8faf196cf19de88b9e
21275,https://github.com/cran/forcats,swh:1:snp:531b106c453bb3e805b295ab8abbe527e446fc58
21804,https://github.com/cran/bridgesampling,swh:1:snp:5518b63eb243abbce3954b9b9e8b90556e2599a8
21943,https://github.com/cran/visNetwork,swh:1:snp:2c73ee467bf3e69ffba0158d4114739606cf0a9f
23410,https://github.com/cran/Formula,swh:1:snp:4bc83967fd12230b5f9392b4a7ec6cec7d0c2a64
23519,https://github.com/cran/multimode,swh:1:snp:104eecd75579c5794a41f8079786ea94397451a4
23773,https://github.com/cran/RcppParallel,swh:1:snp:6441935118d3805280c387cd12971c2f07814d14
24026,https://github.com/cran/magic,swh:1:snp:04e89ea5e75e8795fdf5671b3f4d37a32563c7f9
24244,https://github.com/cran/RANN,swh:1:snp:740d531d8d04fbf7ca9adb4bf99eb8cbcb17b39a
25031,https://github.com/cran/iterators,swh:1:snp:d05aa6a9ac23b470eb1e19ef5ee28538713735dc
25093,https://github.com/cran/doRNG,swh:1:snp:09c3c726ca474fffcde6c040bc69d1dae131b84d
25536,https://github.com/cran/modeltools,swh:1:snp:3b256d3d818301ef008f6ca830a04377d60f5b4f
26022,https://github.com/cran/countrycode,swh:1:snp:906ed463ee607a0839190a1b036cca3df09f4883
26697,https://github.com/cran/ineq,swh:1:snp:8dcac003af0f4ae4b3a1a456ece469c9f51b58af
27787,https://github.com/cran/mctest,swh:1:snp:599d1ae80f3420964780b393799dee368ce7ea78
28001,https://github.com/cran/HCmodelSets,swh:1:snp:24be4e523ac88345fc9423bf69b16dc8f7ab2923
28277,https://github.com/cran/tensr,swh:1:snp:6b87edc583f12563db188034d778431316edf2a7
28966,https://github.com/cran/iml,swh:1:snp:4a4742de46b48a13dc128369a594a24161c91a8a
28972,https://github.com/cran/ckanr,swh:1:snp:d872943c8e9e027241a724b288316bd321125b27
29088,https://github.com/cran/sjlabelled,swh:1:snp:65ff74271e13ee98b62d00157a69bb39924c36ac
29261,https://github.com/cran/blockmodels,swh:1:snp:fe9cb1b35104f9b282495d0d16e72f00260d2b0b
29749,https://github.com/cran/ggcorrplot,swh:1:snp:378a82dea6511170bf77b4342beeca9d91d57f27
30853,https://github.com/cran/quanteda,swh:1:snp:a3772e102a08b6e10ffe2c7bd48098d6e7090fac
31431,https://github.com/cran/NlcOptim,swh:1:snp:38be152105d237dfae32436ec14a725320317bc8
31466,https://github.com/cran/MLGL,swh:1:snp:339503245bed9bd8e7a894437c19c59109535407
32861,https://github.com/cran/futile.logger,swh:1:snp:6b16a7446a4e80e098c2d9b410f7757814461831
33254,https://github.com/cran/parallelDist,swh:1:snp:1e8af96c16103428b5d2e0d1d029930984832f0b
34385,https://github.com/cran/usethis,swh:1:snp:568d6055418f73c78b4695cc8fbdd0afa3abf086
35013,https://github.com/cran/fst,swh:1:snp:91c5cfdd6d5ca3ad5dddeecefa7838511effb445
35930,https://github.com/cran/golem,swh:1:snp:2d3bbeb3ee3e63418ac18ec88a5cfecec5e10e7e
36715,https://github.com/cran/infotheo,swh:1:snp:ef9d11f5a605df1d584b93cdaafd92e4797250ee
36960,https://github.com/cran/MIIVsem,swh:1:snp:067b3c348e34ac4226c8b86a31623d5018653001
37235,https://github.com/cran/gtable,swh:1:snp:c39f746ca29593f766a282a244f39762fe89bff6
38441,https://github.com/cran/BiocManager,swh:1:snp:1b5d9b2c684e57d8dca384e5fb354f1ccc3a7b53
38727,https://github.com/cran/UpSetR,swh:1:snp:111179717dbe24df8758cf22422bfb083548f500
38770,https://github.com/cran/parsedate,swh:1:snp:a25ef65d668de7a770d34ebbf6ee533df0808d64
39627,https://github.com/cran/rappdirs,swh:1:snp:79b351e9dba8afed674041b7022e12d84c1a7a99
40178,https://github.com/cran/promises,swh:1:snp:5cff56321740322d262c429d6f1a177aa1b58f95
44241,https://github.com/cran/fs,swh:1:snp:9bae08ca142319de077e17624e1aabcb187ceba7
42821,https://github.com/cran/generics,swh:1:snp:504afc727eec4ec0fe7f8afbbd001960dbcfbd50
42785,https://github.com/cran/renv,swh:1:snp:72b9f472cbae99f22e013033c57bb981102329fc
42782,https://github.com/cran/ggraph,swh:1:snp:737bf736571fa53a71eb902d89c391da3aebe2a8
41400,https://github.com/cran/bestNormalize,swh:1:snp:518ff79d4520043147a08e74a48a4eb00f2508d9
40940,https://github.com/cran/singcar,swh:1:snp:27f05520cc6f2115ccf4160720255fda2646e0b7
46791,https://github.com/cran/edfReader,swh:1:snp:2be05c121430273960d53d296231a61592780d6d
45390,https://github.com/cran/qfratio,swh:1:snp:cd9817b6f23244ab0fdee372f033b487751dbfa4
4476,https://github.com/cran/drc,swh:1:snp:bc68af0b1fc7340547aa988269d2123894c59751
4537,https://github.com/cran/moments,swh:1:snp:57475456b7c3a7130490b2e3f985658a013a4df0
4575,https://github.com/cran/labdsv,swh:1:snp:33f478ed6469edad170b78577d4aafd04d49b7f7
6787,https://github.com/cran/bayesm,swh:1:snp:b31a0f5268f3a03eb653a8be45eb319df1236045
7320,https://github.com/cran/tm,swh:1:snp:d1db7dcdfb57d304e1bd8198bcfb962c4779feb9
8074,https://github.com/cran/BB,swh:1:snp:b0e88c946b64d0622a53ae136518caf1275f77ca
8171,https://github.com/cran/mcmcse,swh:1:snp:19f108be04325d55294bb059f6facd4220e46607
8286,https://github.com/cran/geosphere,swh:1:snp:d9321cb685debf436f32517756ddca61934571b6
9332,https://github.com/cran/alabama,swh:1:snp:fc818b2d93f203fa5fa2504421b0dabe970b6018
10485,https://github.com/cran/multcomp,swh:1:snp:f9b10c9e5f1c1a6f7720fac814e8aa54b7b9396b
10639,https://github.com/cran/randomForest,swh:1:snp:a7bfd4eeea609b648a2f12b40bcfe04f729617b2
10936,https://github.com/cran/BiasedUrn,swh:1:snp:b99516ea6f5ab55600fb39c024b8ff52704776cf
11222,https://github.com/cran/ebdbNet,swh:1:snp:5c0531e200e05a6281414bf0b318e69e877b0b99
11287,https://github.com/cran/Mutoss,swh:1:snp:25ce28b30fa5408994c138eadb340b944e15125a
11294,https://github.com/cran/modeest,swh:1:snp:276a21be0ae8397d2c97e0d50d66f5f7d4e7ff20
11598,https://github.com/cran/Bessel,swh:1:snp:d9a7c5e9569dd4f87ec6c9d953b9bbe35a9bf914
11615,https://github.com/cran/microbenchmark,swh:1:snp:f3d671db49c18d90a568ffedfa8e1630fa42e0cd
11624,https://github.com/cran/pander,swh:1:snp:4ea964e5914c45e3b3b648997a2b4309085388ab
11755,https://github.com/cran/Proto,swh:1:snp:1b56c6d091dde2c17893b00c8fa224d763481c41
11815,https://github.com/cran/Cubature,swh:1:snp:f6ea2ebbd41c7393725d9b005b7f90ee5aef2d0a
14500,https://github.com/cran/shapes,swh:1:snp:462b82c907c14cda27ec1811a7682300b2ddc67c
14535,https://github.com/cran/Polycor,swh:1:snp:26b42dc48f051a46140d57726244ed350f500bff
14571,https://github.com/cran/difR,swh:1:snp:d11a3dc2bd1c6c07e8a5b28cf55aa30abe15e311
14591,https://github.com/cran/pdist,swh:1:snp:1076f91db7e534db293e776ba070d0acdff3a125
14694,https://github.com/cran/MBA,swh:1:snp:d0d586dd5514d9e7a161154c5a533d2bd53d95dd
15011,https://github.com/cran/gld,swh:1:snp:6a60f0fd164f6a3db98d2212440c081a27afefd3
15402,https://github.com/cran/nabor,swh:1:snp:36a312fb81139c8d1f3fecf03324bf037ef90cdc
15877,https://github.com/cran/CDM,swh:1:snp:d6d0cb7bbe074acb6ee14d1de77a3d8160f4771f
15908,https://github.com/cran/NbClust,swh:1:snp:cf9a2b77371c7f3511eb503aae277d201d14c20a
16572,https://github.com/cran/selectr,swh:1:snp:89a88d5e79c62c00912dc9b4477e2191ed8b2d49
16585,https://github.com/cran/shinyFiles,swh:1:snp:c99b959c752778c74230e23a78465fa500482b7b
17101,https://github.com/cran/performanceEstimation,swh:1:snp:19deeeb983897c9db47ea57b0e7a766aded78b60
17400,https://github.com/cran/hamlet,swh:1:snp:0709774599de27098d2edc9be66253f1f37acabf
17921,https://github.com/cran/mltools,swh:1:snp:ff448df3dcc9bdfe371ebd37d8d438b31358ed28
17935,https://github.com/cran/prioritizr,swh:1:snp:5d841566d345eb5fed177613fcbc74c29b46542a
18179,https://github.com/cran/GDINA,swh:1:snp:fcf5a07e2d0a06e519cd40e86afce1b99c2ef75f
18442,https://github.com/cran/regclass,swh:1:snp:e0e019d36dbc15d05fda4965e0dc26ff5cf1ffc1
19403,https://github.com/cran/stabledist,swh:1:snp:7143bd6ebaa4a3fa1aacba49ed465b3aa5d89501
19467,https://github.com/cran/NLP,swh:1:snp:6b54d7e8c848339812df626a7305678e5975c929
19529,https://github.com/cran/osrm,swh:1:snp:ef36e341ba95ad180e775d6d7cf6365150affb85
19762,https://github.com/cran/pheatmap,swh:1:snp:f89fe6b85ea0bb43f168c9b6fab8941c908cbe8a
20728,https://github.com/cran/rjson,swh:1:snp:2641c8c49a8465cfbc0f8069ad4d1c92b2a7fa0b
20879,https://github.com/cran/Deriv,swh:1:snp:3164f0990321c2454646c8baea0f5cec32aaeae7
20887,https://github.com/cran/MuMIn,swh:1:snp:91acd9f2f5b4337f8c431e6680f74dbac9657f2f
21318,https://github.com/cran/Gmedian,swh:1:snp:9d43a80aabe5b67e6c6cc2f98081483abec67b6f
21373,https://github.com/cran/bestglm,swh:1:snp:293997ebb536ba44c2c2acff18fca7a2f1a8e6f6
21379,https://github.com/cran/SpecsVerification,swh:1:snp:ed3c456b5efeaf3eb0d3c27526a8030b6fbe2539
22097,https://github.com/cran/ADGofTest,swh:1:snp:e9923275e1d584b602fbb416ec9b94544721bd3f
22386,https://github.com/cran/onewaytests,swh:1:snp:8eaed9e8d51402d19432fde2b8971fa2b7851d70
22609,https://github.com/cran/TFisher,swh:1:snp:acad8f6088559ce54131aa07dd8262de8fc582ed
24223,https://github.com/cran/amt,swh:1:snp:a2153016d962f1f86bb423e881eca9106de58a05
24226,https://github.com/cran/threejs,swh:1:snp:a9ca43ea29ae9a453463959d276b3ae960ec4860
24259,https://github.com/cran/PTAk,swh:1:snp:d389bee507a4c4eefb7ae3a15a09c4013b27bbc1
24358,https://github.com/cran/fastGHQuad,swh:1:snp:cb6573091eba4cb9f29e3c5e1f8308cfe6fe8538
24388,https://github.com/cran/slam,swh:1:snp:7a18c2bf85f35e14f37ab247205764812379a5cd
24576,https://github.com/cran/chron,swh:1:snp:1ab087e4af386ba5f8c2348870ddc07ac48c3287
24873,https://github.com/cran/sqldf,swh:1:snp:be60a45eb19e3c36b9cc267e71f2f37c737d87b4
25016,https://github.com/cran/matrixcalc,swh:1:snp:6bca7c5925c42d4636fbfa4e302b34ef35f29f81
25092,https://github.com/cran/shinydashboard,swh:1:snp:a4ee0ca15291e7d66ce1487d6c6bb157fb3ce073
25757,https://github.com/cran/readbitmap,swh:1:snp:70ea05679e630f88664faf4362152f5a71da906d
25758,https://github.com/cran/bmp,swh:1:snp:5d5b07fd43c62cb72f13b05c1a78748ac5451160
26034,https://github.com/cran/mFilter,swh:1:snp:56e1081ccfb23b96aae6814acdcadf1935fb6457
26039,https://github.com/cran/permute,swh:1:snp:22975fbb098b72d0b49281f7a670da6826e2bcfd
26119,https://github.com/cran/lumberjack,swh:1:snp:42b410147e755ead2e131d4acd3c75f02e214cc3
26624,https://github.com/cran/eipack,swh:1:snp:d7b862fcc5581cdc970204424b8faaf6a65bdac7
27008,https://github.com/cran/vita,swh:1:snp:152f4b5a6f90d28a37563afad2e01235c640e6ab
27884,https://github.com/cran/VSURF,swh:1:snp:c95da7749d1349128748a7023e3687bc9cb29f8d
28134,https://github.com/cran/cranlogs,swh:1:snp:21d89c0ebf3e1dcfd52f38dbea6fea0382b89cb6
28145,https://github.com/cran/tableone,swh:1:snp:844ca84d303e72d32ce69c247837771fbab55eec
28274,https://github.com/cran/overlapping,swh:1:snp:48f21ef1ebfacc7ed8658b9e4fc4f3ae5db9c734
28805,https://github.com/cran/ggbeeswarm,swh:1:snp:501843d2dd5bd2a23b7863aab67c5a4907b190b1
29202,https://github.com/cran/gmodels,swh:1:snp:83e15efb072cde8937eb61bd16641284b95ef825
29791,https://github.com/cran/GIGrvg,swh:1:snp:5ef4f1d94f2512427c655e53ac022264f48729a1
31333,https://github.com/cran/SISIR,swh:1:snp:edf9680b528d93abf7e31d9587ac227bb502d183
32393,https://github.com/cran/geex,swh:1:snp:522cebaeb2cd9c86cbf9fc87bc967558d5063710
32615,https://github.com/cran/quantregGrowth,swh:1:snp:6fc446ec8c00dcf314af6d1850192fad6b38ddd7
32869,https://github.com/cran/automap,swh:1:snp:f86d70203741a693feb7ea5691a154fb627c03aa
32945,https://github.com/cran/splines2,swh:1:snp:976635fd2c2bdd6db9f59bc34d390df763b68608
33941,https://github.com/cran/JuliaCall,swh:1:snp:3f3b5d55d2e9218fd9d12172db9de48921d5a824
34330,https://github.com/cran/exact,swh:1:snp:2e40cd661c476ef63ba9d5f60853c01ade003c45
35423,https://github.com/cran/manipulate,swh:1:snp:a1a36b9c2c674df0b568e7c4fef1b0d7f043c12a
35697,https://github.com/cran/PSweight,swh:1:snp:a5dbb4953adf2f036faa22b1e3dbba9545bb082f
36427,https://github.com/cran/RcppRoll,swh:1:snp:1b59016c0fd3713cd11dba6748e142c63ac0637e
37205,https://github.com/cran/DRDID,swh:1:snp:c510947982a2d77932ebf715384195431f754c81
39019,https://github.com/cran/invgamma,swh:1:snp:d45ed0753e54ba955b75ca0d48dbd3444a6796f2
39837,https://github.com/cran/DChaos,swh:1:snp:7bb8e2663c835887eb41c19cd106ce549cf25d75
39901,https://github.com/cran/eiCompare,swh:1:snp:90333ddc2ba9f611825daf1f2e48033d2e2264e7
40062,https://github.com/cran/bqror,swh:1:snp:09876cc055894a915e08d913993175ec0929a07b
40285,https://github.com/cran/NScluster,swh:1:snp:cad3a0734a017d15061182ae591eecb3927f0c9e
40323,https://github.com/cran/SeqNet,swh:1:snp:48e604bdf588625556caeb9a7fd9fc1bd18c4882
44541,https://github.com/cran/effsize,swh:1:snp:11f4f492c81b019f16893b2a715b850ce5ce71fc
44218,https://github.com/cran/glassoFast,swh:1:snp:942685389c28194e7554d1f503e1cb6e207f8329
43682,https://github.com/cran/epicontacts,swh:1:snp:72c4a691fc1f646d933f659c77e3bb2a93df97ce
43677,https://github.com/cran/calculus,swh:1:snp:ff9bb3676aeb9c43f8bfb80b9464cfa40d08fb90
43556,https://github.com/cran/cp4p,swh:1:snp:74c161d0d404f0e3b67527b181268c50fcd66527
43409,https://github.com/cran/sugrrants,swh:1:snp:b39bee34d2acc0ec26565b1a312b187fd43b0102
42648,https://github.com/cran/gsubfn,swh:1:snp:2dbdf89b217a6f9971ece306fe8e727f0e942841
42134,https://github.com/cran/expint,swh:1:snp:7cc2ac27652f500699112fc8015b2f6dd64e1b0d
41364,https://github.com/cran/robmed,swh:1:snp:b867c0dbca348aad972dc8d4cc490c2af315c4f5
46306,https://github.com/cran/concstats,swh:1:snp:3fb6914aef604f3e832974b33731422f9fcd1123
4361,https://github.com/cran/leaps,swh:1:snp:04e7880fa436ab502e3242faa51009dd7a7564b9
4362,https://github.com/cran/ellipse,swh:1:snp:03fe68880ef16924ada5d34e17a7d0197398d21c
4521,https://github.com/cran/combinat,swh:1:snp:4b4a0fc389faec2b512240b611f395930c821440
4540,https://github.com/cran/scatterplot3d,swh:1:snp:a807c649778e2162d52e0a0ce0ce40629b36b2f8
4551,https://github.com/cran/ROCR,swh:1:snp:fd40e1fb1484e3e0dac72837fa3abcc241d723f1
4579,https://github.com/cran/vegan,swh:1:snp:41f71d0c31cb939bcf049b4e5bcc96b1fa3ed3d8
7116,https://github.com/cran/SemiPar,swh:1:snp:ef5dbde8a82c3fc16c2a061205b86ebb01fb423c
7118,https://github.com/cran/strucchange,swh:1:snp:c0deea7a6e907c6c81769fe57ee09ad358b583d4
7432,https://github.com/cran/glasso,swh:1:snp:27efdb5abe716c987a4d31f97f39afc28a4ce8c5
7926,https://github.com/cran/Kernlab,swh:1:snp:eb4a300bd7b2e14b2f1d16687f65c2a02d1aeffb
7997,https://github.com/cran/Waveslim,swh:1:snp:c6963dbc4e40451bce0ec661b08255b512b948d8
8001,https://github.com/cran/ipred,swh:1:snp:b69ef67667a47910efdecfb54837fca00bc8fb90
8031,https://github.com/cran/caret,swh:1:snp:bd922a03619cabc1c5f0a1fd16df4be338c8a20d
8187,https://github.com/cran/fields,swh:1:snp:fa0506d5baad169781b03c1a771c3aed2b2099f2
8196,https://github.com/cran/fdrtool,swh:1:snp:31243ed0476e56daf7cc1484fedc89c0341bccf3
8260,https://github.com/cran/fds,swh:1:snp:eeb315b55a7fbcbe6d72599f996f4a9a4dc96584
8271,https://github.com/cran/snow,swh:1:snp:0a9a2d3aa6bfafabd6785d53de257b8978a9dd96
8293,https://github.com/cran/gstat,swh:1:snp:33a53053e50f7abe7d281cc0c803be827debf4a3
8381,https://github.com/cran/coin,swh:1:snp:2c6bea3099b9cd83807fddc583de7fa33a7646f2
8656,https://github.com/cran/DEoptim,swh:1:snp:6369b9e9965cb8d457c3cd3f7f063da0284c8cfe
9996,https://github.com/cran/Metrics,swh:1:snp:1d93d8e5bcdfe6e740d5455f3ecb790dc47a062d
9997,https://github.com/cran/PerformanceAnalytics,swh:1:snp:6c7ccba56e8e5ce382116d9a5a5e9f84370bcdc3
10199,https://github.com/cran/corpcor,swh:1:snp:26efd603af6fd69b3f6a42e13f318c4a4548e098
10534,https://github.com/cran/SparseM,swh:1:snp:cb7676ba06b6e1699de45351211d270246c6ff8d
10630,https://github.com/cran/latticeExtra,swh:1:snp:e7a575e32d22d36a3e068098b6073e47ea57e8d4
10637,https://github.com/cran/proxy,swh:1:snp:ad2d7d787be62bf93a2e22acc9f0e78d4a9df9c7
11077,https://github.com/cran/codetools,swh:1:snp:256363874c341b95c6fc39b1c0ddcf36cf1a6793
11616,https://github.com/cran/minpack.lm,swh:1:snp:ae7e51de004340628b098259ea2b77e733ca8f22
11622,https://github.com/cran/optextras,swh:1:snp:38034d282bb93c7fdc078db219db0b5fa1054063
12282,https://github.com/cran/SQUAREM,swh:1:snp:9729f7fe6d68d6a1399a376ae9aef73513ecbe0d
12353,https://github.com/cran/truncnorm,swh:1:snp:e3c945ef98c5d77f63dfe25b40e405f27de7516f
12570,https://github.com/cran/dynamicTreeCut,swh:1:snp:60237e4fa88a30078405fbf4c26258e9cde4d571
14043,https://github.com/cran/laGP,swh:1:snp:906f6d217c7adbcaf2a06dada9cf633f9b28c580
14044,https://github.com/cran/GPfit,swh:1:snp:9bf4cb99928e844444f5b59d2abb5bd4fbf43b96
14381,https://github.com/cran/pbivnorm,swh:1:snp:17a7590c887cc7a77cc65e4a435586320f852ed1
15074,https://github.com/cran/gsl,swh:1:snp:1752c8accec285968c9e64afabfed8928cf2e48a
15263,https://github.com/cran/truncdist,swh:1:snp:f4f20f75f7d7483b44959208744876b20e7eaa1e
15409,https://github.com/cran/RSpectra,swh:1:snp:91485b00727b17914d1c32b64207e130b5b739d6
16018,https://github.com/cran/km.ci,swh:1:snp:0ca55147fbe605af04d9486d110328dc1886b381
16278,https://github.com/cran/rio,swh:1:snp:edc5d74fa982f617006cb91809f21559c7428870
16386,https://github.com/cran/SetMethods,swh:1:snp:6d6b8e365a5bf60509f6084415a7aa95290a6500
16425,https://github.com/cran/tokenizers,swh:1:snp:43004e785899e4f9e8e106a61765668d8b880d29
16707,https://github.com/cran/shinystan,swh:1:snp:f73b5feb01a180c17c91514e2159112a41e74666
17084,https://github.com/cran/shinyTime,swh:1:snp:ae177148489bc634f00ce54d693382e40efe3c8d
17787,https://github.com/cran/maxnet,swh:1:snp:c855b3c78c615d5c5220f27e237ab1097514d12f
18457,https://github.com/cran/tidyquant,swh:1:snp:8f862d171e85d15d0f78e9d480145bb2f37c05bf
18487,https://github.com/cran/RcppTOML,swh:1:snp:86f678d92f8ecec36e0a590bb9104d998fa8b42b
18930,https://github.com/cran/base64url,swh:1:snp:456a78a7faf059efe58190423de9b13859525a38
19109,https://github.com/cran/formula.tools,swh:1:snp:741706bb70c50645ebc5efc0adbc19e24acd6191
19115,https://github.com/cran/widgetframe,swh:1:snp:7fbe8e6634db9f96ad988f9d096709965c72eff2
19326,https://github.com/cran/webshot,swh:1:snp:51c201a32da75c6a83e282b37af24efe5bdab981
19328,https://github.com/cran/leaflet,swh:1:snp:5e3128764058f66f89956ea581018d07d5c7e1ba
19343,https://github.com/cran/class,swh:1:snp:c21c37790a3cdbce776cf9fa4d12665f32d8874b
19358,https://github.com/cran/tidyverse,swh:1:snp:6a6a1ede332ddb40161e8a25aae3871647f60e71
19400,https://github.com/cran/jpeg,swh:1:snp:e0ad973bfb9d0e2a8b47a804e886b385360a038d
21041,https://github.com/cran/irlba,swh:1:snp:df6157006213816d8636b5daef02e789586100b2
21806,https://github.com/cran/Brobdingnag,swh:1:snp:a3182607054d4dc011dbb86f26068da73181ef25
22353,https://github.com/cran/keras,swh:1:snp:6fee8e77e59d551240245c83a36917307bbe01c1
23404,https://github.com/cran/ica,swh:1:snp:3ee77b28dbbfa2c5ce25249d0fa0679282c20612
23472,https://github.com/cran/polyclip,swh:1:snp:e6e6d69c53ca2fc8470c37f3947ee4197134364f
24087,https://github.com/cran/pbkrtest,swh:1:snp:e5f183a42f16d4ae1a0e14a07c131aea3f39d5aa
24094,https://github.com/cran/tables,swh:1:snp:b5f45d6ee73cca6ffa80f86296328184b8e33ab4
24112,https://github.com/cran/arm,swh:1:snp:b93be37c883b2454777f8db280364c131c078bce
24224,https://github.com/cran/optimParallel,swh:1:snp:8e0faa9578b8ed9dd209d053d80f9cf5dddea6f2
24449,https://github.com/cran/stargazer,swh:1:snp:a989f405a7a74d7730ef73018ed6b1a3b56bea60
24514,https://github.com/cran/flashClust,swh:1:snp:3b28f83934731d236dab9bb7c5d0703da2079182
24705,https://github.com/cran/oro.nifti,swh:1:snp:bac0e20757c66f16b7f36f53b60cb8a3ade6a98c
24709,https://github.com/cran/RNiftyReg,swh:1:snp:af4d2f57d233a28367dc551c9a06eeef5e2191cf
24927,https://github.com/cran/tmaptools,swh:1:snp:8a7ce9d8ba47cc792cadf8dfe3f231f0db57f961
24991,https://github.com/cran/profvis,swh:1:snp:96b1fea490dbd882fc0b92457c31a8938cc54b48
25015,https://github.com/cran/CARBayesdata,swh:1:snp:db539deda5c8ce11e84389cc3097ccf2358681b8
25502,https://github.com/cran/RcppZiggurat,swh:1:snp:e969b4892789ff39e778f9ac1d5731b503eedd9d
26035,https://github.com/cran/highr,swh:1:snp:c0f67c9341c3f1b3a6e3f35f42e1764bfb7e29e4
26130,https://github.com/cran/pbapply,swh:1:snp:c8b6af561aef0e645843f101f299f471a18ca114
27782,https://github.com/cran/osmdata,swh:1:snp:4e3dad0aefe2cdd1a52262256f0d051c1018399b
28054,https://github.com/cran/CompQuadForm,swh:1:snp:5532ba9cb015b1f5ec489357e729126df248bccc
29084,https://github.com/cran/EmissV,swh:1:snp:b83cf6f65978151d74b1bfd56118e22593cb7ae5
29415,https://github.com/cran/whisker,swh:1:snp:c1b57b028a4eb31b0b98d57053002c9dc8f5bdf6
29417,https://github.com/cran/pkgdown,swh:1:snp:2a723f322f60d7e28c2de1a3893ecdfcd1f880c6
30384,https://github.com/cran/SnowballC,swh:1:snp:0b6345d18ef13764ffe9ccf055b34a06a20454ad
31524,https://github.com/cran/tidymodels,swh:1:snp:a7dadc34704bcfe8a5e5046a9580a67dffe9f5f2
31564,https://github.com/cran/ModelMetrics,swh:1:snp:db8e0542a20493b6b54292e011056f751f0c08c8
31567,https://github.com/cran/rsample,swh:1:snp:132f043dc4eec6a5ed24ce25ab628e604472ea01
34978,https://github.com/cran/effectsize,swh:1:snp:1954db2f7a15669a6f07956aac1f5b1b721c00eb
36706,https://github.com/cran/farver,swh:1:snp:fd921354bef585b2d19b8355622c3c0703b18819
37236,https://github.com/cran/gridGraphics,swh:1:snp:c4fdfeafce3ecd6f40324a469165f97c7e3071a8
38187,https://github.com/cran/prophet,swh:1:snp:33615b2bed0f439c19972d024ba2ced80c9ebd83
38475,https://github.com/cran/ash,swh:1:snp:0e69b7d159f4bf383136394f64772430f9cfc508
38768,https://github.com/cran/spData,swh:1:snp:f283151b4c4400e5cff87422d3abdea659969f33
39958,https://github.com/cran/entropy,swh:1:snp:14397eed1ab1c00713c39cfcd26331583e6e50cc
44860,https://github.com/cran/gower,swh:1:snp:810d8f4e5660ea046b09dbd9cd2d71c4c3fa38dd
44857,https://github.com/cran/paradox,swh:1:snp:32ece2ea35edc8170fe24b25b64d52bb34c6ee53
44061,https://github.com/cran/bigparallelr,swh:1:snp:04641e43438084348126c4c6a16b8cf5dde8ead5
42417,https://github.com/cran/tsfeatures,swh:1:snp:0f867f237f7123a0e5f68e3b778ca257587488f7
42415,https://github.com/cran/HMMpa,swh:1:snp:61cd6a686999a29d3b86a6e133846913805f2740
42365,https://github.com/cran/cyclocomp,swh:1:snp:00021c467c02e388afcc38a0173e1fc5449405ab
41521,https://github.com/cran/stars,swh:1:snp:b8c8522fdf4eb9daff196451a3e5dd451dd2c31e
41459,https://github.com/cran/carData,swh:1:snp:da5e3107e65db0bb5114abb4a4d164be485413f1
41336,https://github.com/cran/Quandl,swh:1:snp:f43fcc96597723dc5d12b3b0beb2927409b6f80f
41218,https://github.com/cran/glmx,swh:1:snp:5c158017436bbd6211211d7a66da02a909be7dfb
4357,https://github.com/cran/faraway,swh:1:snp:a82ac66b6e3696ce4b3d3959c61e7136d2ef7aa9
4376,https://github.com/cran/mstate,swh:1:snp:f2cc5e528c3ca10d17105c81c6c590050fbfd828
4497,https://github.com/cran/wavelets,swh:1:snp:39b031e357a4875af0f70bd2d43972609fc9cb3c
4522,https://github.com/cran/binom,swh:1:snp:c24e0afd26cf960e2a031759079e50e0295d0a3c
4561,https://github.com/cran/norm,swh:1:snp:66426c95e0916c379b838f933421e922afe31473
4583,https://github.com/cran/flexclust,swh:1:snp:5192c6df8cf8b9f211f1ade8e37890a5e11a33b9
6084,https://github.com/cran/wavethresh,swh:1:snp:96f92574f59f62f77b9b5fe5c318e27011de585c
6637,https://github.com/cran/Adlift,swh:1:snp:c2f6eef02e2d5abb2b335382f9992c8d9b50f896
7074,https://github.com/cran/changepoint,swh:1:snp:736d40583f4791f170f5ca4dfe6f7cbbc8e3eb8b
7121,https://github.com/cran/adegenet,swh:1:snp:35dfd3aa4603103b08625379839d70cb6af69a87
7783,https://github.com/cran/DiceKriging,swh:1:snp:3e6e60a869b19f2ad96944052ee559f9ce2bb1ec
7963,https://github.com/cran/Tweedie,swh:1:snp:149ec3cb8f5abe81a34a5100bbe2b3bfed535d4a
8035,https://github.com/cran/biglm,swh:1:snp:e775951b5213530889c102483e60aeeefa5e185b
8094,https://github.com/cran/Matching,swh:1:snp:4d1b95dd2bbf47486b02b036f26de57d318541b0
8894,https://github.com/cran/Systemfit,swh:1:snp:4f49bb6d5c5e82e7f6a553780e24572c087c2734
11073,https://github.com/cran/cmprsk,swh:1:snp:5be939a696c5e563583b46ccd860475dac352fd8
11103,https://github.com/cran/EbayesThresh,swh:1:snp:57970bbdfb3fe8aeb51dc3c70a7da47c12bbc49f
11163,https://github.com/cran/tree,swh:1:snp:9ed701931743c2f2e748d2f50b47a55b6e74764f
11191,https://github.com/cran/gridBase,swh:1:snp:125c99a0605a155662d2013d2d7bad2fd393eebf
11216,https://github.com/cran/longmemo,swh:1:snp:45adf206a5682f40e7e5acbb64be2e66d02ee160
11620,https://github.com/cran/nnls,swh:1:snp:2adb81b3e0f98011e11e3f28c40756db106af4b7
12267,https://github.com/cran/evd,swh:1:snp:0fdbc4f2ee2a53bbd98916117a6bea1f3332b26c
12946,https://github.com/cran/maptree,swh:1:snp:fd5bd749b69e55a957025616761474454e9b177c
14506,https://github.com/cran/sae,swh:1:snp:078469aaf95e06e59eae054fc366137fc72583ba
14630,https://github.com/cran/Benchmarking,swh:1:snp:016f653d24d5fbd5afe9896789fc0bdbd0555eca
14703,https://github.com/cran/Muhaz,swh:1:snp:8b51448f160a69ce2894c761aec2822a4869cd83
14711,https://github.com/cran/relsurv,swh:1:snp:8e6b4821d99fda97e58ab1ac284cbd12e3c9cde1
15470,https://github.com/cran/flexsurv,swh:1:snp:bd8a1b40f208f01f0e937cbe0c0a58ef9a77b98a
15636,https://github.com/cran/npbr,swh:1:snp:d2da3bfa7c43c255e70651b031de24be85a5d4cf
15855,https://github.com/cran/europepmc,swh:1:snp:f69cc4562f46d90bc55f44c324eaebb5027e2b53
15951,https://github.com/cran/polysat,swh:1:snp:feb78fd54904f91d909fbc9b9e35e84d067eab36
16084,https://github.com/cran/clubSandwich,swh:1:snp:0ae4520bd8b61d8abd5713e5a34b51eecd576e4f
16576,https://github.com/cran/httpcache,swh:1:snp:fcc2df0579135531729ccd1a84d1153ea8387dfc
17407,https://github.com/cran/switchr,swh:1:snp:84829ca3e84bf845ba4a0bca473dfdebdb51da02
17525,https://github.com/cran/ez,swh:1:snp:fe4ae993c2ed1042d6f84c64e368970c502a5bff
17537,https://github.com/cran/sticky,swh:1:snp:b3be40e8c8739080cae857001229e90404be25de
17550,https://github.com/cran/incidence,swh:1:snp:76d9c3d5f64a2a633ba373e86a338d4f2a8a7a8f
18005,https://github.com/cran/spocc,swh:1:snp:d109c65e20e95f2c361028b29901b5e58df37789
18375,https://github.com/cran/LaF,swh:1:snp:7c2fae2247ba16a90a104e791a4f9abacd3527eb
18753,https://github.com/cran/VBLPCM,swh:1:snp:b6e6ee5eb99cf8b9e474b5fff21274f535d264c7
19051,https://github.com/cran/Ryacas,swh:1:snp:340da4981566b0dedecb58bc72d8fa95af30e9c3
19105,https://github.com/cran/bootstrap,swh:1:snp:ecff64aa6aeef58bf2bf9fbfcb56b59a6550a5d9
19307,https://github.com/cran/wrapr,swh:1:snp:36f0d0c060821fa19f39b7a516e746f297281e3c
19387,https://github.com/cran/RcppSMC,swh:1:snp:783cf96b41259c5b1c1547a483837b6613270446
19439,https://github.com/cran/rosm,swh:1:snp:4399ed0b5ac41c69914f27486ac2ed6573b88865
19483,https://github.com/cran/missForest,swh:1:snp:85d43eba36d140fd639a0ce3b3e34cb502b26b18
19677,https://github.com/cran/icosa,swh:1:snp:76da9b7314c0d4875037c4b029a5b0063777f00a
19974,https://github.com/cran/varhandle,swh:1:snp:721d375201af1f2d203a032ed07bd91a36a2d12e
20085,https://github.com/cran/funtimes,swh:1:snp:96906f836efe99067515fe075cf9631236c195c9
20296,https://github.com/cran/wTO,swh:1:snp:0b66a16d6efc2edb5593922b318caa688b6fcdb6
20516,https://github.com/cran/numbers,swh:1:snp:3739eb0fcfb22bb3ef0dbae6f30462b75f2c5642
21809,https://github.com/cran/varbvs,swh:1:snp:0d1a98f360edf796d484fcaeebfcae5006b6bcb7
21862,https://github.com/cran/Kendall,swh:1:snp:46317fc00af50f7c385e85076051be5a8eb717bd
21944,https://github.com/cran/som,swh:1:snp:7c621daca6f5344d592949ff58af4c55f73d7056
22351,https://github.com/cran/survAUC,swh:1:snp:76c3c54be6721f4e7e62c248c9ad231289a2384b
22581,https://github.com/cran/mblm,swh:1:snp:49f54867e11c0cd5dfd7415f82d9122815ebf9e8
23469,https://github.com/cran/mcmcplots,swh:1:snp:14a37c869eb8c8f6409075b67c8720f757c9eeff
24059,https://github.com/cran/ggmcmc,swh:1:snp:86bd2e94957e3b7a9de88b17d7793ac6a84a1f4f
24145,https://github.com/cran/blme,swh:1:snp:99f0a893827523b8ee56ab1a7ef6388f5ef53a39
24285,https://github.com/cran/timeROC,swh:1:snp:d5faa59bcc8c8306ef3db6ee936b20288865dac9
24577,https://github.com/cran/date,swh:1:snp:9268ed6def33fabce01808bdb78b38daf326484b
24917,https://github.com/cran/kinship2,swh:1:snp:4ef15716bc3690121fb6a3cda1bb8dd000e0320a
25591,https://github.com/cran/glm2,swh:1:snp:99539eee2bca5747c4ce3980f090f2d09da4a513
25613,https://github.com/cran/ltsa,swh:1:snp:a50b94d096c10a2c331332d6d4c6a141a66e3576
26726,https://github.com/cran/profmem,swh:1:snp:ff0f254e2bc52c4073be708d43ff29126d718390
27163,https://github.com/cran/mcen,swh:1:snp:39dc176f9bb55a5d925a471752e2e92ba1073350
27797,https://github.com/cran/metRology,swh:1:snp:0b9a170ea2fc45895f651733402bf5b3842cca01
29257,https://github.com/cran/glmnetUtils,swh:1:snp:a407a597348cfe602d61380e4a58b7b20f380184
30836,https://github.com/cran/JoSAE,swh:1:snp:1f6ce4bd1e89bd0c5255a5dfc42baa6ccf05b2e7
30837,https://github.com/cran/hbsae,swh:1:snp:1febb478cbdd4e2e244a51598d74a3fdc5816c2f
31262,https://github.com/cran/esreg,swh:1:snp:ccdc63ed196717a4da718b4e587985cc2662ebea
31476,https://github.com/cran/spBFA,swh:1:snp:94cb5cdb6719712c5ce839dcafe1697f0f533783
32703,https://github.com/cran/skellam,swh:1:snp:424ededa24b7ee726221f6e5540c2a445782ce36
33014,https://github.com/cran/coRanking,swh:1:snp:f8e194323d961514b4f28e629efc8db3ce1e1035
33253,https://github.com/cran/netCoin,swh:1:snp:d38db4ec39ea0049c475749c3f3b53a88e2a8a51
34165,https://github.com/cran/ribd,swh:1:snp:e0dfeb19feaa79c1d07d007803f148a004fd2810
34219,https://github.com/cran/permutations,swh:1:snp:ec40bae4eb05fe3bd172e9592580a1893cd6c83f
35067,https://github.com/cran/marqLevAlg,swh:1:snp:1bc2ad1646b06fdeef053dc4476ac51d2a72469d
35969,https://github.com/cran/dunn.test,swh:1:snp:eb58af5c64910ebd5cbb0a6f8930e3c369a4d36b
36225,https://github.com/cran/fable,swh:1:snp:65c960b782cb9ea8731849ad4e4ec0ac416b32c0
38642,https://github.com/cran/cosinor,swh:1:snp:a9fb8c646c829bf2bab059614bcb49e25feda39d
38834,https://github.com/cran/exuber,swh:1:snp:e938e35fdb5e0a4708228234a20089e23cd40fc3
39778,https://github.com/cran/correlation,swh:1:snp:5e2d691df07edb5aa69aba35f3780e19ffefcf57
39806,https://github.com/cran/npsurvSS,swh:1:snp:577f2f07eb6dc3826056ac3b38cb663d30709126
40645,https://github.com/cran/bench,swh:1:snp:24f955caf62f7f90c9f24f8708974b5a1ac764e8
40651,https://github.com/cran/bezier,swh:1:snp:6bfd37e4fd5f21cffec77e5c1d462601d694e691
44856,https://github.com/cran/miesmuschel,swh:1:snp:26796e23b3295cfaafbe247f87eb1cafa5a70077
44854,https://github.com/cran/counterfactuals,swh:1:snp:c90cb1ca46658ec48e550a7cb03feb40a27cc8e7
44781,https://github.com/cran/brokenstick,swh:1:snp:b3c7acee2964f4687e012baa68ee8db96a15357d
44621,https://github.com/cran/sparseDFM,swh:1:snp:b4fb4e4c36eefc36aef076291677df24077157f0
43999,https://github.com/cran/dtrackr,swh:1:snp:c2d066862bbe0b0f2e365730cc7e43d817bb641d
43655,https://github.com/cran/broom.mixed,swh:1:snp:76df673ff0a0edb9400dd40274edb7ce356999cb
43536,https://github.com/cran/stokes,swh:1:snp:90d061475ae45be9db96588e0f1fc88099ee55be
43534,https://github.com/cran/freealg,swh:1:snp:f952fba567bba4af22a3d406ba0eb8156fb936c7
43403,https://github.com/cran/influenceR,swh:1:snp:260cfa0329b013a2271fa52ab9403380b4c0a748
42207,https://github.com/cran/emg,swh:1:snp:45f941223fc0286dbd5f57d078f3a51b9fecb4ad
42133,https://github.com/cran/tictoc,swh:1:snp:95d89ddd7541d2467df8ced23e1b8eb6a0fa705f
41958,https://github.com/cran/cubble,swh:1:snp:7dadccb50cb190056b91fe22810b4e7c46d172c1
41649,https://github.com/cran/GiRaF,swh:1:snp:811fc3214cdd25ec0b464b071c9e2e8b962b6d7e
46149,https://github.com/cran/DGLMExtPois,swh:1:snp:0f8e53b1ac8c06d4b2e016b3019adfac5ece2eec
4356,https://github.com/cran/quantreg,swh:1:snp:a3b81a63bc885946c7e57d5f25f804425977c98d
4516,https://github.com/cran/R.matlab,swh:1:snp:bb9d5f9cc5d0f8f1384511c7cdaf0f5ed6588777
4519,https://github.com/cran/hexbin,swh:1:snp:02e39cc1ff29c4fa3ff4c01d6eead660b2b63231
4564,https://github.com/cran/mnormt,swh:1:snp:1b0441c93aa093139d484fd2dc405cd3b6215e46
4586,https://github.com/cran/KernSmooth,swh:1:snp:7e5211f5df524e0c47f2879bc23cd39b2efb0e5d
5110,https://github.com/cran/quadprog,swh:1:snp:176dc7652f90d1df64b1e0f0e56fd941b220db8c
6081,https://github.com/cran/emplik,swh:1:snp:71677a75a727a82f1569d5ebe7aa42714b87ac10
7073,https://github.com/cran/Statmod,swh:1:snp:eea013ee1bf8307594ae5133890f77dc70e52a00
8019,https://github.com/cran/earth,swh:1:snp:30c579e6012c5e93c667272459aa6fbbb814b7ef
8042,https://github.com/cran/doSNOW,swh:1:snp:da37b6750fb0cc8b5c53f4fac54ea928b4378f9a
8072,https://github.com/cran/energy,swh:1:snp:606fb5c7ff02352805f7622a762071929e50d7aa
8093,https://github.com/cran/mixtools,swh:1:snp:ffdd0a7d2c8ea15ad41d45b3b178f668bd942287
8134,https://github.com/cran/mlbench,swh:1:snp:e7d0fe7ed2f9189cacc703f07fa51d9c76711c83
8159,https://github.com/cran/glmnet,swh:1:snp:5d24e2d1ec9e4ca4ae17aeb28781cbe163c3523c
8339,https://github.com/cran/RootSolve,swh:1:snp:3e0c5e79e5e114d4491ca30ed6274427e42a8c48
9335,https://github.com/cran/xtable,swh:1:snp:5718ef14118ecf648f45a9cb0235a2121249426f
10005,https://github.com/cran/abind,swh:1:snp:f889b987331390c75bdfe9de50f5ade06278dc1a
10603,https://github.com/cran/zoo,swh:1:snp:5de66d84b7139fac11a68157a0f1cdef230f8451
10620,https://github.com/cran/inline,swh:1:snp:3e3f05540def089022a7ea5b742f6ed0fa716304
10632,https://github.com/cran/minerva,swh:1:snp:4446e0e08026b8447b6ad58ea184c4ca666c7a68
11072,https://github.com/cran/circular,swh:1:snp:7c18227f3dfc1775e7c6ebb15e29fe9e2a86b458
11284,https://github.com/cran/MultiLCIRT,swh:1:snp:074ac46148da08008180f775cd890c92f0907a14
11625,https://github.com/cran/polynom,swh:1:snp:afe8d5750653752c83caa41cac777a223f834755
11632,https://github.com/cran/Rvmmin,swh:1:snp:8c484221c2cfdad67daa37a2c2985a95519fa171
11636,https://github.com/cran/trust,swh:1:snp:ef7416236623a077ee6e8fe8a3cb18d8593c4e76
11736,https://github.com/cran/LMest,swh:1:snp:31dddf3c579ed8c1a4ebedf3c72191ad113e97e7
12245,https://github.com/cran/urca,swh:1:snp:1a41a53ae3bb53f041511ea8154ae88fa5a0c645
12412,https://github.com/cran/minqa,swh:1:snp:151ce3f3cced74d803caa08e94bbcb7be2e1fefd
14241,https://github.com/cran/FME,swh:1:snp:a6655f512da64f4ec7ef2488eed5e1cf859ada98
15310,https://github.com/cran/ddpcr,swh:1:snp:1121c4066d93281cb003f789cf18f4663122e624
15453,https://github.com/cran/ezknitr,swh:1:snp:b8d64a1930d7b1278ac82a27be0dea7e78eb1147
15739,https://github.com/cran/NetOrigin,swh:1:snp:af31f4b3bf4b1859c8665e6f4103b3aac55d139f
15776,https://github.com/cran/fitdistrplus,swh:1:snp:482b875f9d20e4c08fe913ffaf57f9cf7b5fddd2
15932,https://github.com/cran/rgdal,swh:1:snp:cf9ea194d9b2f2596054277f90eb8b44e21809c7
16064,https://github.com/cran/lightsout,swh:1:snp:717c52e9052cb50deee205e5d4e39176d99e836d
16141,https://github.com/cran/sjPlot,swh:1:snp:79456769dd3f28ba9945875460de64485b02d235
16146,https://github.com/cran/sjstats,swh:1:snp:45a8618583de881a3b046fd6326d498967b9f879
16533,https://github.com/cran/multcompView,swh:1:snp:f36431fe89de808449c38cb1f145b7ba7d1c3bfd
16586,https://github.com/cran/dendextend,swh:1:snp:af2451fbe53f0e46aa8add7b81a22647b954a15e
17245,https://github.com/cran/lubridate,swh:1:snp:50f47cba24033b736d589fc47bbbf563e57bea70
18360,https://github.com/cran/dygraphs,swh:1:snp:f10a5a7324151f4360c9ad79941d4a653385dc75
18453,https://github.com/cran/sjmisc,swh:1:snp:a605e3facf50b9f8e9bd0f05f808173afd3dad0f
19352,https://github.com/cran/lazyeval,swh:1:snp:92c3ee1b8d5afff68bc9683553729a5e01f5155e
19379,https://github.com/cran/protoclust,swh:1:snp:3622aa4540240d102081d3c8a8646721033f9fa9
19417,https://github.com/cran/networkD3,swh:1:snp:10f2139d38865ba18ae0fd4921658696caf35abc
19559,https://github.com/cran/AID,swh:1:snp:6f3fd3ba67d878aeb7018b90b6b25c2c060f76be
19709,https://github.com/cran/sys,swh:1:snp:0125bbb7ade1bcb839eb7bb024a14a5e83d70b3d
19767,https://github.com/cran/subplex,swh:1:snp:729079720686bd321b5539266c82769cfb46402e
19804,https://github.com/cran/diagram,swh:1:snp:ccace01b4ad6e7dc4339d71f01c357696fd53bd4
20071,https://github.com/cran/ECOSolveR,swh:1:snp:9815dd736c10ed9180279212f4705426bbeea3c7
20869,https://github.com/cran/mapproj,swh:1:snp:323e0366e61e44e73fac40f41803f459bbf44755
20884,https://github.com/cran/RhpcBLASctl,swh:1:snp:0ef0164cc47d79835ab8486a5b0b64a6e02dc296
21677,https://github.com/cran/ctmm,swh:1:snp:eee12580b5508d6389df16e71cc073e57c086c94
22378,https://github.com/cran/TENSOR,swh:1:snp:e1502d7558512435213816403b107980fa942074
23400,https://github.com/cran/clusterGeneration,swh:1:snp:e00c6350de027120ee9b7deaa33e5e5835452db6
23673,https://github.com/cran/mix,swh:1:snp:5f4af8ae2dfc83d6a78aa2813d8e539a72078754
24015,https://github.com/cran/rex,swh:1:snp:8618aebe32583b541a24a495dfd2ed63ebe5884d
24237,https://github.com/cran/spTimer,swh:1:snp:04b3b03b35ba884ba3482737d43e6be25f26d4eb
24296,https://github.com/cran/partitions,swh:1:snp:d39b933a5e85a8136513804d5ea303fe6c89b3a4
24651,https://github.com/cran/prodlim,swh:1:snp:ce3d2d7fa5e18e29d160c2289e7dece497aa8b80
24926,https://github.com/cran/tmap,swh:1:snp:b088dffa542ad66f54fa4530f55eb58ff1e60313
24930,https://github.com/cran/classInt,swh:1:snp:20965a85f737544f01e79add1390ac4ac972003a
24996,https://github.com/cran/xergm.common,swh:1:snp:7b64f81f735c960cee5f85eb16899fd8411312a6
25507,https://github.com/cran/pixmap,swh:1:snp:51a377d59f2594b139f7470acb11312cb1c50a81
25517,https://github.com/cran/dynlm,swh:1:snp:533e2e24a7a9bee8633de5df19af7877cacd12a5
26021,https://github.com/cran/WDI,swh:1:snp:301a22fd3d296b73e807c6139f53d91d97de3292
26117,https://github.com/cran/pdp,swh:1:snp:d27c83bc79682107d8aefc10217239c8339ee8ed
27791,https://github.com/cran/bnclassify,swh:1:snp:46c5fcbf50665bb36259614834b9a6b46eaae485
28103,https://github.com/cran/goftest,swh:1:snp:816bb8e80687a3220ddebf5ee7eeb6d712abffbd
29947,https://github.com/cran/remotes,swh:1:snp:4d83b13c1411b5b506b2e3450876e06a3048217c
29957,https://github.com/cran/janitor,swh:1:snp:2180978391445145092d51472ab48ed185463126
30842,https://github.com/cran/openxlsx,swh:1:snp:b5276f4011a4ff2ef2b14c3a078634b7b329ca04
32460,https://github.com/cran/googledrive,swh:1:snp:f77ddaf18034cac3b64302cfb73dc9c09d769b3c
32493,https://github.com/cran/spTDyn,swh:1:snp:408f4df78fd8baba810e192c8e81d3e12770bffc
33503,https://github.com/cran/gWidgets2tcltk,swh:1:snp:c214d40f674adf50d7928be33c68ffb81b4efe91
33831,https://github.com/cran/EpiContactTrace,swh:1:snp:d578013a7e6a9047408b27c8ff4d70bbf7ad53c1
35011,https://github.com/cran/table.express,swh:1:snp:661a64d5c12f13f32f709c49d919e431a9fb33fb
35014,https://github.com/cran/dtplyr,swh:1:snp:2eae9e597ac081139d79c776238e0a1998400051
35203,https://github.com/cran/vip,swh:1:snp:ca79a457645e216adb8b2d7366fed40d0d782076
36140,https://github.com/cran/listdown,swh:1:snp:785bb3ba3842eaff6ea3ac04e49fd747269a0283
38725,https://github.com/cran/RecordTest,swh:1:snp:fa7dd3a53a5936ae272c367158924992108dd2b9
39666,https://github.com/cran/greybox,swh:1:snp:c657f5b9c42bcf68ff308a960389d6d792e90be5
39809,https://github.com/cran/dodgr,swh:1:snp:a15f62d986556d6272b4dd468823939bd53cb8da
39957,https://github.com/cran/pkgconfig,swh:1:snp:0ea32d8b4b2424e5c3e83f482eb27a360221a72f
44624,https://github.com/cran/dfms,swh:1:snp:fc7cf159c52efbbcc91f1fc6500ebfbf6fa7991b
44473,https://github.com/cran/fastDummies,swh:1:snp:e32a4a2b64d719adc15670ab1619c2dbc652bbc8
44060,https://github.com/cran/bigstatsr,swh:1:snp:e99ea94a47d111709ec1373a50343a4bf330f1e6
43808,https://github.com/cran/metrica,swh:1:snp:9fa2f20f83dcc7b601c9269e29ab70dd353917bb
43690,https://github.com/cran/varImp,swh:1:snp:635483b1a95fe2af09cdc469c42d07c763c70c9b
43678,https://github.com/cran/difNLR,swh:1:snp:ca5880b3bd53335842dc22de14352431cfb10361
43359,https://github.com/cran/ggvenn,swh:1:snp:321adaa613af9ed9ab5f629d752162359ff09614
42850,https://github.com/cran/lsirm12pl,swh:1:snp:8195da678b3a4d1984b41c0e7235752ae6637550
42819,https://github.com/cran/palmerpenguins,swh:1:snp:33bfa3b1993080d19b54cb080224caf5120c5c54
42645,https://github.com/cran/densEstBayes,swh:1:snp:c5aa693de68e49b7bf23d8fa5fb77da014fd034d
42631,https://github.com/cran/CoopGame,swh:1:snp:9232ea51802816edfd08a2242d30f27af5fb8169
42023,https://github.com/cran/adaptr,swh:1:snp:13fbec37c154ae9e58e093968e23830475ca5266
41523,https://github.com/cran/furrr,swh:1:snp:ea318df3258d41d43caae3c7e320549cd8263275
40731,https://github.com/cran/tdigest,swh:1:snp:a5d622dc0ce0e08e8548c045c2f88061a5e1edab
46677,https://github.com/cran/Rfast2,swh:1:snp:6fad6e2b19639ec755433884d75122facb3412a9
45387,https://github.com/cran/tehtuner,swh:1:snp:94d30b338e8e7ce53e297cb5ac814c0d2e542cf0
4483,https://github.com/cran/nls2,swh:1:snp:5f57e6765d2496f35198fe80cf7f8204645fa340
5549,https://github.com/cran/deal,swh:1:snp:e7703e1da36ea7ca24367f2763ec837bcb6c0867
6785,https://github.com/cran/nbpMatching,swh:1:snp:79576d3a14d0c52c83e117c6a447d645076a550a
7122,https://github.com/cran/SNPassoc,swh:1:snp:7db91e5b6ce502a518921b87ec56002cadc3af83
8210,https://github.com/cran/R2admb,swh:1:snp:e03756ea4b47b476e45064d2efedd585dc87eadc
10605,https://github.com/cran/HSAUR3,swh:1:snp:7dfea10c9c3c91784ed0644bcfdda0ae91adef8b
10613,https://github.com/cran/RcppClassic,swh:1:snp:1636b93a584ef06fe3c67d0da1d89ae31e815778
11694,https://github.com/cran/confreq,swh:1:snp:3d00f8d274d037c64ecc8e3c77052f53483000b8
14249,https://github.com/cran/Quantregforest,swh:1:snp:9e33407dc536db97aa5feece360ead3527013235
14304,https://github.com/cran/evtree,swh:1:snp:01fc47d898394a2d63b49ae39d58807206672223
14399,https://github.com/cran/lqmm,swh:1:snp:c2a053c51bd6e089b62ae47ef0dd65721c9a0de9
14400,https://github.com/cran/GSE,swh:1:snp:925b6d7eb84d9d18f7180df93d7c115bd16bf5b5
14718,https://github.com/cran/dr,swh:1:snp:6d94d4f87b9fa2b5546a2b958d8baf77a0028a0d
15564,https://github.com/cran/EBglmnet,swh:1:snp:00a41ba8c84bb54ccd69aeeba9734ef48131abef
15571,https://github.com/cran/Rook,swh:1:snp:676dd56d2d2b0a44f872dca1d5f44e4c8ad78e8e
15599,https://github.com/cran/bridgedist,swh:1:snp:2c3f12b2710637f7a4a239f5eed5ccf6e8f20cc7
15675,https://github.com/cran/ChannelAttribution,swh:1:snp:6dbfa24834930dda342086811c8d4d6b2a4a0001
15695,https://github.com/cran/lfstat,swh:1:snp:cec26f478ec9e01f140638b3d5bbe7cde14159c5
15783,https://github.com/cran/Ckmeans.1d.dp,swh:1:snp:3a8ceadb358869e8725b282c5134ff101701f992
15788,https://github.com/cran/BetaBit,swh:1:snp:f20fab4b12f3dd80bdbfd3739535a9b24c282967
15870,https://github.com/cran/install.load,swh:1:snp:b70943b9e866bac06190c39b8259b66553bb25b5
15931,https://github.com/cran/turboEM,swh:1:snp:618e3c4a9b0a8a19c01af9438a4b715425041138
15981,https://github.com/cran/rcrossref,swh:1:snp:ecc2d8c4f919269bc433a70b0552e5bc2d9062e1
16000,https://github.com/cran/ie2misc,swh:1:snp:a94115133d4dea238c89e906fd35f9c7209558a0
16019,https://github.com/cran/kmc,swh:1:snp:3c2f42d747995fb7eaee99faf84f2aaf8f3ecef3
16091,https://github.com/cran/MFPCA,swh:1:snp:c63db2e2cdbc74886f43fe9462737bc6fb00dbfa
16101,https://github.com/cran/Rankcluster,swh:1:snp:a8329467c3b2bc82256c6dd57e473c3b65c6a3c3
16326,https://github.com/cran/munsellinterpol,swh:1:snp:3c7f3570c8eb77a8dbcf39e5652433f83786820f
16571,https://github.com/cran/rmcorr,swh:1:snp:c6409b71844e36871043054facae8ffc919f09b0
17222,https://github.com/cran/phylolm,swh:1:snp:51120fe94b60b73dd16995c529237fa5e7fcd34a
17241,https://github.com/cran/ctv,swh:1:snp:1c878844afb1ce61e8ddeeff27f9729c08ab420f
17887,https://github.com/cran/IRISSeismic,swh:1:snp:f3fc41b064c764fed185d179ced45db1136de1c4
18019,https://github.com/cran/geeM,swh:1:snp:38afbf2e27a40b226f8e8424cd5a13525564bde5
18151,https://github.com/cran/GreedyExperimentalDesign,swh:1:snp:ccae768b288e70cbf8d7583f909240d16b86ff4c
18170,https://github.com/cran/surrosurv,swh:1:snp:a194a21adb3685629e70963049b846a96374bed2
18371,https://github.com/cran/NCmisc,swh:1:snp:22c73010bf15ef8b08a231f875aee74f018c6506
18372,https://github.com/cran/reader,swh:1:snp:d31944525b1eecff6bd0dcc1559b7d7535681933
18679,https://github.com/cran/sigr,swh:1:snp:e0b394db247aadca8b7efdf465e1e39edfc98bdb
18771,https://github.com/cran/waterfalls,swh:1:snp:7865120da8b295beda2172636ce685075bc39018
19198,https://github.com/cran/RRreg,swh:1:snp:0abc44042742891c31818dd1c0e54895e100959e
19701,https://github.com/cran/antaresProcessing,swh:1:snp:58d737e1b26c5147d68159d73acf34a1fc659b6c
19761,https://github.com/cran/Superheat,swh:1:snp:9992fbb4d9707e0ee0cce68d5646313d30533a69
20880,https://github.com/cran/gaussquad,swh:1:snp:f05eeeb8015e112b693326c703200fd5fcc77ee3
22023,https://github.com/cran/ExPosition,swh:1:snp:bda478275dce86b90750cac4bf6eda1f81c5c091
22045,https://github.com/cran/lgcp,swh:1:snp:c10132abf71a5b8ca98bd895b6efe9241f3756e3
22098,https://github.com/cran/StMoMo,swh:1:snp:e2b54dbff270f6555db36e273886ecbbf4cabeea
23366,https://github.com/cran/locits,swh:1:snp:4ab90204bf687ea9e9f01c3bc79fc2cf137e87e5
23520,https://github.com/cran/feature,swh:1:snp:59e9af883067f5868bbd108eee78881b38e716bd
23574,https://github.com/cran/curvHDR,swh:1:snp:a9ffb396e26784da5ab3f69f6bf5604440b94252
24194,https://github.com/cran/HardyWeinberg,swh:1:snp:653a05cbf9affdc86db598e238e9a4c1a74b11ae
24397,https://github.com/cran/SparseGrid,swh:1:snp:b407e780e047e1358682ede7dbf312c58d604d88
24884,https://github.com/cran/hergm,swh:1:snp:10435d2cf67ebe1962a0a54cfdb72563b018875a
24993,https://github.com/cran/PPtreeViz,swh:1:snp:c584ba6dcf40d6feeb263705dbc79146d219ff97
25020,https://github.com/cran/fanplot,swh:1:snp:cbec2bf578f4bd5a36eed9cf6c039eead7b9ac6c
25100,https://github.com/cran/trip,swh:1:snp:e9dfeb5f7b6a9d8cacb5ccd60e0a9aa79c13d428
25117,https://github.com/cran/hnp,swh:1:snp:aeb8fe2901934a457eb3e526fc26245bb2462051
25121,https://github.com/cran/ltmle,swh:1:snp:3f5a9a47a966b17e9fe5cae83416e264c7a07e62
25405,https://github.com/cran/multipol,swh:1:snp:70eb58d0c3399e08fe915b0623cb62f094522507
25501,https://github.com/cran/uniReg,swh:1:snp:a40b0363dd14060d721bd776e76017736ae48c4d
25503,https://github.com/cran/ROSE,swh:1:snp:e7e19ff6052c6c1ab91dd29f94daa108093dfae6
26126,https://github.com/cran/ouch,swh:1:snp:145e9a0477a7f220d5db3bbb8b43b9040ba330eb
27391,https://github.com/cran/accelerometry,swh:1:snp:850f98623e9469c103da6ba9c490ed5cdd03a6bd
28510,https://github.com/cran/orthoDr,swh:1:snp:b406b72c91d0b34c9868463e4e19ef82785f0e2c
29162,https://github.com/cran/nse,swh:1:snp:451c04cb621187f34b2c2a955e5d4eb1bb86d275
29207,https://github.com/cran/BSGW,swh:1:snp:0301439078b86c32e96a2d8acf677bcabbc20688
29208,https://github.com/cran/deformula,swh:1:snp:ddc9753d772374641b2c04018279bcdbbe7186f2
29790,https://github.com/cran/horseshoe,swh:1:snp:a04fcdf7bda52444cc0b2a76b1b016bd554e50c4
29946,https://github.com/cran/spatstat.Knet,swh:1:snp:fe3bad6e65ee2db84116767b80c338975edf2c8b
29973,https://github.com/cran/FSAdata,swh:1:snp:bf300912d4c81135d85762db2bb00fb299f00ccc
30768,https://github.com/cran/multiColl,swh:1:snp:ee77c1bf1ba45f17844344259049b791f2e6b74a
31038,https://github.com/cran/mcmcabn,swh:1:snp:197dab46dd2e53f44a874c41e2cb562cc9a8a7ff
31276,https://github.com/cran/TDAstats,swh:1:snp:51a52feb9c031d8326499d4039a3ece153c07230
31348,https://github.com/cran/nomclust,swh:1:snp:a30d00e74894e06fe4a063dadf696143a53aac48
31355,https://github.com/cran/hts,swh:1:snp:0cf111d9fba1f05c1d9310f83ccfdbbbcb90ec20
31483,https://github.com/cran/FKSUM,swh:1:snp:7b1cd322298ba6881d39eae8d2a11ebe6b4ed19f
31830,https://github.com/cran/DynamicGP,swh:1:snp:20f649672d3a9235d98a26f192ac51d9cb068232
32398,https://github.com/cran/survivalMPL,swh:1:snp:5df8cbe3263f0ae3845b511b5222738eb1b79445
32739,https://github.com/cran/XNomial,swh:1:snp:942b7c84cf6a4f6fc0acecfaad42796b5a77a6a7
35568,https://github.com/cran/loon,swh:1:snp:2557ccd13cc911e2b1196de6b7839b6a664d93ee
35997,https://github.com/cran/multitaper,swh:1:snp:f8e260862bbc45fde77f1f497f41167409e8a0ad
36795,https://github.com/cran/mapfit,swh:1:snp:75d4dd8b8350de4accd4b797ecf307b2916f8971
37974,https://github.com/cran/cSEM,swh:1:snp:4e4c37fd58f1b166ca8784c7ea41bc6a8ec22517
38222,https://github.com/cran/mlergm,swh:1:snp:fe5e740abf775ee12d43c5a47084e4e94a3a75ac
38306,https://github.com/cran/FamEvent,swh:1:snp:d5c8c78df17f847e9443499e173484bd265cb50a
38389,https://github.com/cran/datasailr,swh:1:snp:a52d0f23f2da3612b5bd1e686ea118970c231e69
38496,https://github.com/cran/qad,swh:1:snp:cc83e6f01066bb6b8becf86034100249a9e865c1
38782,https://github.com/cran/CliquePercolation,swh:1:snp:adaf738dab9154b2f60b61c59dc3033b46e4b03c
39776,https://github.com/cran/plotmm,swh:1:snp:e39ecb925a7a447b3c89351008f12d4f20f302e0
44540,https://github.com/cran/sars,swh:1:snp:20df2a6c424f56c8d93cbc9a889745b8a3366cc1
44483,https://github.com/cran/ndtv,swh:1:snp:fdbe6c75bc95fed1c61e4e55066d4e1f2ce3facf
44219,https://github.com/cran/BigQuic,swh:1:snp:1bcb0667019c53e9839dfef5c504375029dae41b
43823,https://github.com/cran/dynamac,swh:1:snp:4e27343fd59a516c0dc27b2ed6b15dcf6bbd8fb6
43675,https://github.com/cran/BHSBVAR,swh:1:snp:c24e21d366aef5f7261044ce614787ad339329f4
43471,https://github.com/cran/kgp,swh:1:snp:1d351ec806ae79b0205dc91eb3ed9944a62bcde6
42762,https://github.com/cran/qqboxplot,swh:1:snp:4cee085152b735f73d5a74db6dc08dcfc3be104c
40853,https://github.com/cran/smcfcs,swh:1:snp:3c6cb32c5dc8b9c813148cffe6f2e96e58b85f3f
40852,https://github.com/cran/JointAI,swh:1:snp:8f76d225fcd3560e939f0b5a35679f77c73d840a
46534,https://github.com/cran/psd,swh:1:snp:8729c7d3f93e0a88608abff8ee0a08b751f323b1
45837,https://github.com/cran/rQCC,swh:1:snp:bddf7e7a6f957bf800200b2ffe3d23d4f071f19d
45691,https://github.com/cran/causaldata,swh:1:snp:02bcc8e7229c116bc25afe457fc9b2fbd8aa0b06
4502,https://github.com/cran/spatial,swh:1:snp:ed4b3879785bd956131a23dfc948455bcdf585aa
4520,https://github.com/cran/pwr,swh:1:snp:555862a6f064c711d91095fdbbf605a467d0334a
4525,https://github.com/cran/sem,swh:1:snp:954bef77dc743f9fc0fd20bc4e28e9bc9ebc2b14
7107,https://github.com/cran/logistf,swh:1:snp:757a1d58f8ea37fcec71fa6829e6fb8c1060f09b
7208,https://github.com/cran/RWeka,swh:1:snp:04abd774e061bb54dcb2dd5269d4cd48ebdb8d4f
7326,https://github.com/cran/arulesViz,swh:1:snp:129f7c6f1f49edb7133be5aa0232bd66b50a6644
7445,https://github.com/cran/EnvStats,swh:1:snp:77e105590bc8acb003a467213fd752def0449457
7923,https://github.com/cran/dynaTree,swh:1:snp:c2f001d0e4bb3cb38c09fecd05f21fe31ae3b730
7957,https://github.com/cran/RankAggreg,swh:1:snp:94e9018c8130792627aa9421d57b9e234957cace
8160,https://github.com/cran/VineCopula,swh:1:snp:56862be4664575316fac0286a4417a13c1d0db01
9506,https://github.com/cran/CCA,swh:1:snp:cf44dbd45c304aa317ced9d631813f81bcc1bd87
10545,https://github.com/cran/Beanplot,swh:1:snp:32bde0921ebe6ad1d336c5525954fa1e95aaabf7
10631,https://github.com/cran/mda,swh:1:snp:8697d7d339979138f75a2648d0601e5c1eb4a04a
11011,https://github.com/cran/BayesVarSel,swh:1:snp:883cbc59a7cb1c91425a52eedd3f72325aed64fd
11107,https://github.com/cran/emdbook,swh:1:snp:d025a0103fe9f54728e1dc0ea5b487a0ff571dc5
11279,https://github.com/cran/clv,swh:1:snp:70d0ff9647a38719d88fb6e038f32ada74ee9790
11678,https://github.com/cran/GENALG,swh:1:snp:05bb7f3cf5eee973d8a4e003936cd7806d8a8864
12195,https://github.com/cran/plsRcox,swh:1:snp:425eaa51870af16a7724959851abeb1ad5ebd509
12357,https://github.com/cran/mlr,swh:1:snp:bb3622aea8a5d072230dd1c6619e10a01ec6a978
14403,https://github.com/cran/RMark,swh:1:snp:f1b95cc79bc6fb95a0fdb5d3043da49a74cae445
14545,https://github.com/cran/Interval,swh:1:snp:4a4e135af2174027968cbea7bb8245ff6ae638a8
14815,https://github.com/cran/BDgraph,swh:1:snp:ef582b195e53dd6dd3ad615a7bdff73743d630bc
15142,https://github.com/cran/NeuralNetTools,swh:1:snp:1c0c77498e1a6cbd07cf552833c5badd1ed94361
15317,https://github.com/cran/hht,swh:1:snp:13ea2d9b338468b4badc8a3c9e7c9f80db35b2b1
15459,https://github.com/cran/r.jive,swh:1:snp:4e48f9b20e198b139e81db40af212b6c0085e325
15789,https://github.com/cran/MSQC,swh:1:snp:8e9e824fd5fd6bf069b8edec67d745ec3ff3da4f
15852,https://github.com/cran/geojsonio,swh:1:snp:8ead2da07117f80c0d4c52cd41c5b06baaf3defd
15895,https://github.com/cran/tempdisagg,swh:1:snp:371721501690f3914aa46aa242d049236e1a3909
16111,https://github.com/cran/gamboostLSS,swh:1:snp:6051c3cc662986a7cad47d0debebc0b6d93d1155
16164,https://github.com/cran/CPE,swh:1:snp:3f9b25fc7d52749f085fe7f3f51c8cbb40706998
16208,https://github.com/cran/EMD,swh:1:snp:02ad61e6a74b42e0b933d2071d00520896389859
16400,https://github.com/cran/FedData,swh:1:snp:e3c938d492b08920b8bb97649bc11468282f2df0
16404,https://github.com/cran/SHELF,swh:1:snp:c4b3d40291e963321f5ec2d28f67c4956d82d2fc
16501,https://github.com/cran/ecr,swh:1:snp:92083d1666e2e794e8f3fb8ceff66efe88cc7dd6
16518,https://github.com/cran/protolite,swh:1:snp:3c147c52c586646215d9afcaafdc1a522f605459
16570,https://github.com/cran/naturalsort,swh:1:snp:7990dd6884fb3c10f669939443063fd8915e3318
16679,https://github.com/cran/MapGAM,swh:1:snp:1a17f31700f02462c95ce14e384aff40695851a5
16691,https://github.com/cran/multimark,swh:1:snp:15374ef38d060dc3115fc6dff146283d615e9493
17080,https://github.com/cran/mixlm,swh:1:snp:fe3684087f6aa7a7e681516209e408b630017b1e
17102,https://github.com/cran/clhs,swh:1:snp:4584cfd050b5cb7baae01cf276af2a7c36c9ecbe
18158,https://github.com/cran/jsonld,swh:1:snp:3043ba1c400bbd4edb896fe9850427e176a9bd57
19111,https://github.com/cran/jtools,swh:1:snp:cdfa329f6448fc1d26c021cb8824ed486baa3978
19319,https://github.com/cran/ggExtra,swh:1:snp:3d143071ecb7a957503b56f4200accf8e7ceaaa1
21011,https://github.com/cran/pan,swh:1:snp:333c0879c638b09d6e6b54554cc000b3ca49e4cd
21012,https://github.com/cran/mitml,swh:1:snp:f103e60a3d9429da5cb475045b6b7d71818bc779
21262,https://github.com/cran/BAMBI,swh:1:snp:61ad600a2f23fc1435b36a7319d9a8a45486b444
21592,https://github.com/cran/hitandrun,swh:1:snp:f8e444dc7a279d0afebe1824687a4b36103a8a1f
22046,https://github.com/cran/sparr,swh:1:snp:87a154556a252bedecf1c1c6dadef6b9d99e9ac0
22818,https://github.com/cran/hdi,swh:1:snp:dd85bac2a284df87cf54ecc670101de626fe212e
23114,https://github.com/cran/Rchoice,swh:1:snp:6d803126cf2333766753ae8b9b6ee1cd74148492
23471,https://github.com/cran/cosso,swh:1:snp:df655b5498fadae85a1dbc5eb27be5a3a12f52b2
23677,https://github.com/cran/WeightedCluster,swh:1:snp:0e917557b2f52da1359f5b85abb45707b7b25cc5
24086,https://github.com/cran/effects,swh:1:snp:bbef49a7a29458ab422db5595cf0c2a4d91e2926
24199,https://github.com/cran/mc2d,swh:1:snp:749f0cca928857e6b034d44c157f79658f9fac3c
24257,https://github.com/cran/sphet,swh:1:snp:fd6b5f7d3b61f118a25f73fb245760775cfaaf36
24287,https://github.com/cran/survivalROC,swh:1:snp:9d6661fb6b237b91a393f960ae31db3ef646b9ba
24302,https://github.com/cran/PresenceAbsence,swh:1:snp:1a7c7fbb5acc7bddb9ba12b67ea5a48591890be4
25102,https://github.com/cran/gridSVG,swh:1:snp:7091d0a05a6195312f1333a270950c4e92fbda85
25488,https://github.com/cran/calibrate,swh:1:snp:fe5b71eb8b0dc404e773c28097db86f4a05110bc
25512,https://github.com/cran/cir,swh:1:snp:e8fc0a2f0558e6f0f56a32eb32711d951a6c3259
25671,https://github.com/cran/sgeostat,swh:1:snp:bc477d5019ac631e78b606a7290b7193124c5ccd
26013,https://github.com/cran/indicspecies,swh:1:snp:e6f88d5b553049c872781f43b38cc0ea89d7cae9
26029,https://github.com/cran/knitcitations,swh:1:snp:4bb44e923d7269f720eb831c40543e6a8ef7572a
26687,https://github.com/cran/Gmisc,swh:1:snp:4c32c668017d76db7b28950b2728eab77695216c
28072,https://github.com/cran/mRMRe,swh:1:snp:8758cc423c72ebb1a7e124a15d396730821b42a9
28963,https://github.com/cran/rentrez,swh:1:snp:75fa1ea5e7e5ce05e42e28458823b18b7d6c5075
29109,https://github.com/cran/qqman,swh:1:snp:c060de7feace9a3644ea323a4a6b0d101ca37ed5
29255,https://github.com/cran/grapherator,swh:1:snp:a6f1a725030a703b3bbf02d6037fdfe3e9459c9a
29266,https://github.com/cran/mcMST,swh:1:snp:3d8f35d544168f1cffcf79f74a494eaadf72931f
29963,https://github.com/cran/mvnmle,swh:1:snp:41bbb823a6591d932d6544ec8d58c179fa0eece2
31346,https://github.com/cran/rvinecopulib,swh:1:snp:03bc678c3da2db1490af16470b9b3c4d45f766d9
31430,https://github.com/cran/SamplingBigData,swh:1:snp:27c8a0257eb4e6eb09f4087b28419af5cc90773d
32614,https://github.com/cran/dirichletprocess,swh:1:snp:6330c8eaa5df8f53be71b44d47e9256e63472641
32852,https://github.com/cran/RItools,swh:1:snp:0719f0999aa2353cb06270d2b1822d124cc58623
33025,https://github.com/cran/ggalluvial,swh:1:snp:0af60fb8017f78f7b77dd19adf5b99bbed85bf43
33263,https://github.com/cran/WikidataR,swh:1:snp:1abdb7739db9a0e434cf38a24513d35e556aa8bc
33826,https://github.com/cran/kofnGA,swh:1:snp:ded4651d41459e476d2b8132f086eb0dbb01a459
36142,https://github.com/cran/cotram,swh:1:snp:a75679310fd673fd2650541982e3c02348227e61
36460,https://github.com/cran/poibin,swh:1:snp:34d701f49cf3ff1a78cc1d1f221e588db7aa8867
36703,https://github.com/cran/Polychrome,swh:1:snp:0d8b9a387573e82d4b96212409fb3d1051a4708c
36841,https://github.com/cran/L0Learn,swh:1:snp:e1dfd1990f7dbcee3e90a7c0981da7acaff5cbe8
37730,https://github.com/cran/piecewiseSEM,swh:1:snp:cb751749c7ba0485eb81840b366dd8aae3dbe12d
38371,https://github.com/cran/plsdepot,swh:1:snp:c579c62f3263213a2f6482f99424b697c24e7663
38777,https://github.com/cran/modi,swh:1:snp:990195b54994aa8b154488b68f6b2fbd00df7f6f
39566,https://github.com/cran/desplot,swh:1:snp:9dae388a9b260cd47be6885456220aa104861d6f
40265,https://github.com/cran/fANCOVA,swh:1:snp:844dc265999e7175da6ca4be0c006f0fee092fa0
40354,https://github.com/cran/BBmisc,swh:1:snp:f5dd23e190c2d3f59e184614d0d83fbaa4a4d785
40581,https://github.com/cran/WaveletComp,swh:1:snp:65c44c6e9baa9e0d61547cf715d1b1a85f7581e0
40647,https://github.com/cran/RcmdrMisc,swh:1:snp:5e4e02dc5c4ccb4a58793c2932c20f7ef19c7776
44388,https://github.com/cran/nptest,swh:1:snp:aeaf83979c692038aff68f6da5e350c4330167fb
44069,https://github.com/cran/gcdnet,swh:1:snp:10aa8fb7113cc6b1922bcf6476dafaac7072769e
44059,https://github.com/cran/DCchoice,swh:1:snp:f3000245429ecdae64e78a615791e59c62492220
43467,https://github.com/cran/trialr,swh:1:snp:6a1d60894b8a953215cf357889376c102e7c1984
42814,https://github.com/cran/skimr,swh:1:snp:b4c3a72910abb147d387288af58d0118d926958b
42644,https://github.com/cran/tramnet,swh:1:snp:c91bb44dc7a5d07cd2449265084db4283b7d7f6a
41805,https://github.com/cran/diversityForest,swh:1:snp:a1b155249eb146f763b8f7f3e11a9e7fd7d181f8
41740,https://github.com/cran/genlasso,swh:1:snp:1c306ff866222fd38561173aa936de8fe64e4d47
41112,https://github.com/cran/fuzzyreg,swh:1:snp:bdebb0e69c9fd755c4f30c786d27178e802d32ac
40878,https://github.com/cran/BVAR,swh:1:snp:edb262d26be5ce206834e789b6db55b1530fc027
40843,https://github.com/cran/RcppNumerical,swh:1:snp:f03bb9b19443bcb0a529251712c201623619b4a3
4533,https://github.com/cran/Amelia,swh:1:snp:95a0c5514a6d050d4fa45e35069fd87a68f26f18
6780,https://github.com/cran/subselect,swh:1:snp:80a3ecdc41983ce0cdb7a2fe3e9b843541872642
7439,https://github.com/cran/bmem,swh:1:snp:75070a15d6758f11535bd39b749597ea39f07498
7964,https://github.com/cran/TIMP,swh:1:snp:4ee184478fb91902c1a19818f78521d56379d583
8181,https://github.com/cran/elasticnet,swh:1:snp:cb9b27609697caa175590b2a094ad66cbed6cbac
8184,https://github.com/cran/lmeSplines,swh:1:snp:b5568aa12e2cf595b19979a0d1d99cc88f2885a3
8715,https://github.com/cran/mvabund,swh:1:snp:6c1fd4041589c79af1321a1cb7a972bea3d9bd55
9507,https://github.com/cran/spls,swh:1:snp:c8afbdac983e97b54dde1c5a7adaabbad41f339c
10510,https://github.com/cran/ISwR,swh:1:snp:db7d2287ba64cda7e72c41d1597bd729b2b0048d
10525,https://github.com/cran/ifs,swh:1:snp:63588ce4b036a1d1648d9dd157f791476b54421a
10633,https://github.com/cran/pamr,swh:1:snp:d9fd29dda470ef87069304c4d0d8286f720d6656
11200,https://github.com/cran/HandTill2001,swh:1:snp:66968de33d089d6b44f23ebc8d0c4f528c4bbe94
11208,https://github.com/cran/ISLR,swh:1:snp:8a63b13059ad7011eb7ca81e85ee300b6dcd6c28
11215,https://github.com/cran/logcondens,swh:1:snp:f8cf8d6063ecc57fa9ab1a6d5c0f83a144864a8c
11402,https://github.com/cran/rstream,swh:1:snp:ae51d7fa7da09379bf36a25f1dc22f4d11519a17
11607,https://github.com/cran/rstiefel,swh:1:snp:86f8b650a36fcda92a3121bbc7c8b98d8d257c9b
11627,https://github.com/cran/Rcgmin,swh:1:snp:7a6f18d257ad25adc2594a25d18c21574dc83394
11683,https://github.com/cran/micEconCES,swh:1:snp:34c17eee7644a7fe9dc2cd32a198a92050f545d7
12201,https://github.com/cran/plsdof,swh:1:snp:6cfd7ac37495f62b2b7ecf6ce9a21ba355685bfc
12243,https://github.com/cran/wavemulcor,swh:1:snp:c9cdb1e88a1bef5e4018acb8d44b451ff39b5081
13914,https://github.com/cran/mpath,swh:1:snp:adf723c78a845e76c0b21594c953cc0ea880fe91
14379,https://github.com/cran/EasyABC,swh:1:snp:52a7850559f30d2b3fae42d627a9d22d3e19ac0c
14560,https://github.com/cran/JADE,swh:1:snp:6d6ff12bd08bfe231ca313feea37b2b03cd4ecef
15004,https://github.com/cran/BHH2,swh:1:snp:b87811b7adf6030e738be21f808845bcc9e350bb
15176,https://github.com/cran/marelac,swh:1:snp:55ffcb6efa44a43ca868359cce6c0d2da652011b
15307,https://github.com/cran/koRpus,swh:1:snp:ec83ba1cb0c3145f74052c232207adb4c0703ea7
15406,https://github.com/cran/ibelief,swh:1:snp:e1579cb85c0d9d7ac2700943a69de440e775c087
15509,https://github.com/cran/ABCanalysis,swh:1:snp:4088e058fe0fe81d2ae52b3557a165317c677901
15660,https://github.com/cran/jetset,swh:1:snp:5170d12adc1caf89af8d287ab5227805276d6006
15774,https://github.com/cran/ModelMap,swh:1:snp:bfb8379578d49c71c995f2a6d342422cbf174043
15880,https://github.com/cran/wsrf,swh:1:snp:01e1af4bd4ce4c629d122d97985c4d716755dc71
15941,https://github.com/cran/mvQuad,swh:1:snp:2e419306a3a9d8a3de5613cec9778c30ad5cb400
15959,https://github.com/cran/RVowpalWabbit,swh:1:snp:099fc42a3495c44cb6f02f8da611971e2002a4f5
16135,https://github.com/cran/rehh,swh:1:snp:9fe8561d8ae917a9a39b2ba1977f2f8a80b97890
16137,https://github.com/cran/seqHMM,swh:1:snp:94bc81490712340cc081746d23e44c7d1e7e50e3
16237,https://github.com/cran/PP,swh:1:snp:ba3758fec3f78e61bc2cbafd4c4cd45639a44bd8
16525,https://github.com/cran/msgps,swh:1:snp:cbb4d8ee1fadf42af8980a237cefbe12a2ca7df1
16584,https://github.com/cran/MultNonParam,swh:1:snp:21c90cc6b12c23f21a012d2d71456b814f8cedb6
16703,https://github.com/cran/MendelianRandomization,swh:1:snp:6d4d9bd2418b9d706bb41f5af7e1deb281156438
17412,https://github.com/cran/geoknife,swh:1:snp:5dc92ca0aa7e7afe2afac3fd848e3b7fc99c07c4
18256,https://github.com/cran/robustX,swh:1:snp:bf5c2adcaa70d17e25ca855a97660dd2d382a570
18444,https://github.com/cran/VGAMdata,swh:1:snp:15146e9242b6a19d13755fc91512b3f06b3cadc4
18770,https://github.com/cran/timetools,swh:1:snp:bd37835ed3b8bb77759ec45bc484a2107b7a69fa
18962,https://github.com/cran/gkmSVM,swh:1:snp:057b80b16c6dad235dce34d386434817a66fe0a5
19195,https://github.com/cran/BIEN,swh:1:snp:a4bfea7f3ebc27c441ce1763f3af56d0536300b0
19303,https://github.com/cran/RealVAMS,swh:1:snp:6127aaa02b48d02010dde3da7c1f07451b4d7af2
19349,https://github.com/cran/babynames,swh:1:snp:ec4c90b836c11c9959de743501131a1d328602a3
19479,https://github.com/cran/vioplot,swh:1:snp:7e4ec78d4800cc4a16cc50cbef793412a0cb2157
19515,https://github.com/cran/LassoBacktracking,swh:1:snp:ce545e72e7c968c02a55ca6d53bad16de308086c
19523,https://github.com/cran/evmix,swh:1:snp:85fe6ccc37371daf123c5a34f3760913c5d14173
19764,https://github.com/cran/phaseR,swh:1:snp:ef84271e5af94f5e46ff686ea36a8b23d7bfb137
20322,https://github.com/cran/onemap,swh:1:snp:aa519883bb2b4652ff5c75f48d58f92195218bdc
20871,https://github.com/cran/shapefiles,swh:1:snp:323c8678cfb627267aad3b5625d3f3aae4872d16
20878,https://github.com/cran/cmna,swh:1:snp:74c0d5e5a08928a386946287f32c9d0c5c24ded1
21191,https://github.com/cran/SNSequate,swh:1:snp:ef8b2ade5cfc458e02838a5b1e091cbb795ea506
22144,https://github.com/cran/fCopulae,swh:1:snp:89ece513e9366aa2f9617989a1c4370b52bd3e97
22145,https://github.com/cran/fMultivar,swh:1:snp:ef9d712fd1efb588612c8eb8c250649940eb63f0
23771,https://github.com/cran/orsk,swh:1:snp:7388d527e3ca993600ff6f7dce9cb2c77f1fa31b
24242,https://github.com/cran/prim,swh:1:snp:00e281bb8d680ad3609384491f9ee7a6e1e64d0b
24578,https://github.com/cran/RSAGA,swh:1:snp:ac7e5822298384dc836cd92d7215e639eb4efa2e
25039,https://github.com/cran/mvglmmRank,swh:1:snp:c13e944d9f322713567f27143f1fae878aaba0c2
25587,https://github.com/cran/clime,swh:1:snp:b8bf58e7185802be5321902e964389349a2f8721
25766,https://github.com/cran/bst,swh:1:snp:aaf796323637dea5bdf4efa35cf3b88c2be4dbc4
25780,https://github.com/cran/MSGARCH,swh:1:snp:66e0c27547b01100ef66c2e920c82f7209306102
26297,https://github.com/cran/orientlib,swh:1:snp:2497db6c76472e79cc545a29cb227e1536eaeaf1
26301,https://github.com/cran/ordinalForest,swh:1:snp:b05931d79914d0b286edd078b2dddf2286c844a4
26559,https://github.com/cran/GPvam,swh:1:snp:80946580e68a723437abaf6bcf67160e961a6902
27792,https://github.com/cran/sdpt3r,swh:1:snp:62765e36a08557f846fe50312a2ced20debdf153
28075,https://github.com/cran/ThreeArmedTrials,swh:1:snp:a4b31e0a9b43108e0811ee28a2b22f195e606c81
28691,https://github.com/cran/ssgraph,swh:1:snp:9b792a284ee5ca70c24bbeeaf998fe769ef323db
28942,https://github.com/cran/phylogram,swh:1:snp:12f5da929cebf3a8c65b2ebc2dc47c71c124afd1
28987,https://github.com/cran/monitoR,swh:1:snp:addca4596b8b55f59e932caf33cee85f5f1f333e
29205,https://github.com/cran/CFC,swh:1:snp:7f47e739e9d8d39234a42ae2a725312e4cf923a1
29817,https://github.com/cran/nonlinearTseries,swh:1:snp:2eb3fa83a5dcb2332c940ce0be9973061aebfd10
30087,https://github.com/cran/EL,swh:1:snp:7eac59363c9578cec9f9361080c0d27c853ba716
31195,https://github.com/cran/CALIBERrfimpute,swh:1:snp:e012b24d8561a302b11203b9f0adf5879c675e87
31349,https://github.com/cran/BigVAR,swh:1:snp:44a5822d6ff6e09c7e4170efff2beeaf93acf1a0
32403,https://github.com/cran/MOEADr,swh:1:snp:589ed5b47edc1893b0de2f1f92d364bc210fee21
32775,https://github.com/cran/StatRank,swh:1:snp:7cb936e4043dfe789d1c760a4a902996d67efb5d
33026,https://github.com/cran/alluvial,swh:1:snp:95d31b54f3aa9ed90a17e0b28a4d12cf1d950790
33243,https://github.com/cran/lslx,swh:1:snp:c6aa83d652ed678988e823c7e65954f2cf59c5b9
33584,https://github.com/cran/ResourceSelection,swh:1:snp:a2988b49cad961f0e4a6361c6367556795baabfb
35012,https://github.com/cran/tidyft,swh:1:snp:9349f5b01525e35fe7bb15e6ca32080b3345d4c3
36426,https://github.com/cran/ICtest,swh:1:snp:71f30cd88bdaf6467661e132d7a5a2deac40e6db
36863,https://github.com/cran/rotasym,swh:1:snp:d855bf4ad474b144d3520a27de9fdb038452be0d
37282,https://github.com/cran/drtmle,swh:1:snp:02dca0a2f151da995e8cdcb7d9363b9c22d965a9
37335,https://github.com/cran/binsreg,swh:1:snp:d31e87db7a2e08146b966d17f495893fabb79830
38404,https://github.com/cran/tsBSS,swh:1:snp:aed0ebacdac9db1bdd3ead2b1ae0b3054cf69380
39153,https://github.com/cran/mbsts,swh:1:snp:de4ebee521637f8ebd8a7cb252c49c135487dd20
39775,https://github.com/cran/mgarchBEKK,swh:1:snp:89c36060e40a32961d43329c805076a2040a4546
40179,https://github.com/cran/lexicon,swh:1:snp:1d23c81e51c828020110b9f7d2d01980bdf78bf3
44969,https://github.com/cran/climatrends,swh:1:snp:84ca28549c11a89b77b92112ad7c300d53e1c055
43545,https://github.com/cran/hereR,swh:1:snp:f0a76de8b96bb6b305b0cb809cf5cd3066f67a68
43222,https://github.com/cran/bvls,swh:1:snp:e7d0f0d0d8c8299aa7acbc9495681e12ceb5c3ba
42282,https://github.com/cran/mnonr,swh:1:snp:74e5d074320291e388f8a616309b088cc3b3358c
41554,https://github.com/cran/panelvar,swh:1:snp:819f61afaf1c8f5d8672d4504596bc76a9b7f4d6
41396,https://github.com/cran/optimr,swh:1:snp:c650586cf706910c7387d284834d5b8e83cf76f1
46710,https://github.com/cran/extremis,swh:1:snp:c3b34b3ad19169da874b80f127319f0a7e1fdbef
46026,https://github.com/cran/carat,swh:1:snp:3cc1b00341f73b7316360c8fe4ea335fac631371
46599,https://github.com/cran/textclean,swh:1:snp:2ae47708b0c3af247a62dff3c1680f0aba4768d0
4527,https://github.com/cran/irr,swh:1:snp:4b9d54d2768fab93d011f2a47f760a5b08696604
7973,https://github.com/cran/Demography,swh:1:snp:77ba64df11a3c876af21412d10b95c373f64f669
8273,https://github.com/cran/BayesXsrc,swh:1:snp:83eeec243aecfd2cc46b6ed8929eec900aaf8c42
8466,https://github.com/cran/huge,swh:1:snp:da1ab95c6b3d0c7effeb842fd60dca7ecd48dae6
8843,https://github.com/cran/HSAUR,swh:1:snp:2ae07bd8c3cb1464f6d7c126e8ae1897cc5f88ff
11112,https://github.com/cran/animation,swh:1:snp:a3392cbdbcbdc4e21e58c5732e1c64052693e7a3
11241,https://github.com/cran/mistat,swh:1:snp:957fd906a2ecef886dd7253500e9f6967693c973
11409,https://github.com/cran/DiscreteWeibull,swh:1:snp:414c9eca92a7de28e87f946bf822e3af24a78b06
11601,https://github.com/cran/DistributionUtils,swh:1:snp:e6916e459fa810dd49f26bd7f937efcf033f4362
12263,https://github.com/cran/softImpute,swh:1:snp:dd2655999530c88cd3d708415c71f6c42690a963
13480,https://github.com/cran/bindata,swh:1:snp:38937353390314a4e6580f6681bc51e2c10d77a4
14395,https://github.com/cran/npcp,swh:1:snp:5c1497d6dd80596d44049579fa479bfe6ad3640e
14468,https://github.com/cran/bayesLife,swh:1:snp:4022b6d1e2d7bac45647862e7a70bdab7fe5ab1e
14640,https://github.com/cran/pdfCluster,swh:1:snp:d2d963f103f84fe8e15367e57448df947e25e0ce
15141,https://github.com/cran/hierfstat,swh:1:snp:ee123e045e3592a9ce4181b0f4aa8fd96649da62
15354,https://github.com/cran/molaR,swh:1:snp:e3ebbfd4d2c9a641871e7a94b461434df1ea0f79
15697,https://github.com/cran/PoisNor,swh:1:snp:aa906efef068fe5a37a63bb3c89ec23230245864
15869,https://github.com/cran/FFTrees,swh:1:snp:9f4d979ba891906e7ae3db447e7876c3ab0e04a8
15873,https://github.com/cran/simulator,swh:1:snp:cbdf5487f9da2515f7b7f7b8436c2d1aee985c1e
15968,https://github.com/cran/fdapace,swh:1:snp:1657214a400e1ba4f25f8ad170aaacc0021a7961
15984,https://github.com/cran/rdatacite,swh:1:snp:7d3153beae735ded9164765b837083dfde223496
16142,https://github.com/cran/EpiModel,swh:1:snp:7564726177fa86a6a7f60c07c6e2c86147919180
16188,https://github.com/cran/micompr,swh:1:snp:cca8daf0564f8ed502a0987b43fd58bc9e800d97
16274,https://github.com/cran/ie2miscdata,swh:1:snp:f2229b29ca200aa47d637a7d77a6864c18a9810a
16429,https://github.com/cran/HMDHFDplus,swh:1:snp:b30a53db29f0cfe649d70cc00b2a6090bb87207d
16856,https://github.com/cran/TreeSim,swh:1:snp:71ebf34941c5f3fdd7278436815bb4eba8280265
17235,https://github.com/cran/rmeta,swh:1:snp:85913d9ef8b412c929d456629a59a91f7dfd689b
17790,https://github.com/cran/REndo,swh:1:snp:5cf3632a1c24317612206a78bae017633bd1db8f
18759,https://github.com/cran/demoKde,swh:1:snp:f177978dae48f8780398e36f9c2bbbe5c16f1766
18826,https://github.com/cran/ArchaeoPhases,swh:1:snp:89a343933b9ea80261968d462171732d3053019d
18942,https://github.com/cran/nlsr,swh:1:snp:5159342b94f7f7d8e9c9541bd7dc3e1ad969925c
19103,https://github.com/cran/WebGestaltR,swh:1:snp:b9642559c6e539f383ce6b85c1fbd4e4a4f22522
19215,https://github.com/cran/rBayesianOptimization,swh:1:snp:0e33d4ba32cc296ac3c53b89a9ee3edb1f1a721d
19437,https://github.com/cran/optiSel,swh:1:snp:41d59c378dbe0ba1d2444b61fab15b5c1e79ece1
19521,https://github.com/cran/asht,swh:1:snp:eec6173c6373c163feebdf29c0942709dc8848cb
19707,https://github.com/cran/nonmemica,swh:1:snp:3179a71b8c4d3aacb3c589bd6ed42c2dc83bbb7f
20105,https://github.com/cran/Rssa,swh:1:snp:fb97cbb0ea03a3ff2a5b675e34c18fa3d68e4d77
20752,https://github.com/cran/MVN,swh:1:snp:cf0d022e85a3ed28029813e65b2040cdb24e77f2
20809,https://github.com/cran/move,swh:1:snp:6864db092eba41580170d4a09c5124758986b3ea
22348,https://github.com/cran/scanstatistics,swh:1:snp:c9107d67234afc79d34adca77cef50307bea83e3
22644,https://github.com/cran/fclust,swh:1:snp:8ba4840c4ba2d61c111996a6730c3c7f502220c5
23230,https://github.com/cran/sde,swh:1:snp:ea1cb781d5585b9b47181f3ab3ab2416006e8143
23403,https://github.com/cran/jointDiag,swh:1:snp:22b28e3ca0ab3d9e7752982afdc04136dbf3b1d8
23674,https://github.com/cran/plink,swh:1:snp:e4cb8758b29ba11ba7aeb564ed5a4dd41092cf34
24146,https://github.com/cran/HLMdiag,swh:1:snp:cd7e824af02a1cc84bf1f9009c493a1a196b65bb
24711,https://github.com/cran/mritc,swh:1:snp:998f21bd918aa2cf12d0a90c1e1a2ca02e7e0199
24843,https://github.com/cran/tis,swh:1:snp:286eb68a7aeb0be636a07babcb16a362d62aa5f2
24886,https://github.com/cran/tergm,swh:1:snp:e68005e3409656cc711c478ebf619d8618366bcd
24913,https://github.com/cran/pedigree,swh:1:snp:0b17e596c70f18c807f43ab8c92bfebe1e1c2a93
25019,https://github.com/cran/nadiv,swh:1:snp:025a776135288cf81d0f9a8f7eb400c5ea87734d
25104,https://github.com/cran/blockTools,swh:1:snp:d136f4119e188109c24701135b6827d6e3cd5c97
25496,https://github.com/cran/fgui,swh:1:snp:834d116a0fe4da0915f62a7346eb0b88b26fd15b
25589,https://github.com/cran/gets,swh:1:snp:0e6c81b445cdfc37d36dc1fec65639eb7183d776
26016,https://github.com/cran/vegan3d,swh:1:snp:dd6387e5020762f07b042ad3e91ad25e4cf2d1bd
26025,https://github.com/cran/repmis,swh:1:snp:a898d0ebf6cd4767b031c2d9344f8feab465abea
26305,https://github.com/cran/toOrdinal,swh:1:snp:e649b8f042cb80daec223942c991bff6994ad220
26312,https://github.com/cran/rscala,swh:1:snp:787be249b737f947ed679e0536252902773ae4d7
26423,https://github.com/cran/nonparaeff,swh:1:snp:c4220a8c85d68724267d2f709567e270b2f53fe3
27392,https://github.com/cran/PhysicalActivity,swh:1:snp:8fe1f0e7ab21684ce0717dace8c3326ebe6c2abb
27778,https://github.com/cran/stplanr,swh:1:snp:87e91f4107546ea63ffc325f2ddee39f875f1e07
27889,https://github.com/cran/RecordLinkage,swh:1:snp:b544f1ddfe31a62d1900c8e81643ac266d52893a
27906,https://github.com/cran/rPref,swh:1:snp:7790df0ad0aeebb1bfea7fb69bfbbb2e38a9bcb0
30386,https://github.com/cran/caretEnsemble,swh:1:snp:ab03902fbe1a061f77dd6929a10b72a4a44de93d
31040,https://github.com/cran/DRHotNet,swh:1:snp:bbf268189eeddb42f62859bc47377877f867250a
31529,https://github.com/cran/mlr3filters,swh:1:snp:0e8296536209d0ca2f860397c0bbaaacbc43ee32
32355,https://github.com/cran/evgam,swh:1:snp:90806b1c69f1f3f68b24487868ba55d3ae9e7cb4
32400,https://github.com/cran/trtf,swh:1:snp:301da472f566d1bd2312e816bc16419334563f81
32658,https://github.com/cran/coxphf,swh:1:snp:7691e46105c4eaf8ce338202b1159605b9a25d32
32729,https://github.com/cran/dirmult,swh:1:snp:fa12784039f207e5b196f97ab7d54b17f49a7e8a
32858,https://github.com/cran/logging,swh:1:snp:b95aca393fa53eb89d45fac20edcd2063b1b858c
33191,https://github.com/cran/CSMES,swh:1:snp:c3bb47e14c624e12ecea353533d19d372c07db43
33819,https://github.com/cran/policytree,swh:1:snp:c74e3dc52d7f2e6ebcd0c13d195aad1aecc84a3a
33933,https://github.com/cran/ashr,swh:1:snp:4c0203bb8fcbdcc603256107662869b7a1af78fe
34331,https://github.com/cran/EValue,swh:1:snp:967373062fcb479dad34bb520c2be3971ff385a7
35580,https://github.com/cran/phonics,swh:1:snp:8a0d74be69445a01c341c15dfdf2c2e7517196a1
35833,https://github.com/cran/steadyICA,swh:1:snp:63c655295c43f7850178b845291acbbda2dca981
36814,https://github.com/cran/morpheus,swh:1:snp:bbfc6829b55a7753a7e670f5af9dad11d69a3b68
37517,https://github.com/cran/ider,swh:1:snp:7ca428c509b9d698c9363bde41c56001e9902fdf
38309,https://github.com/cran/svars,swh:1:snp:b13fcbe2f1026dbd8e93e755407d0ce61ada9d12
38323,https://github.com/cran/mBvs,swh:1:snp:44ac3c4f663cc14e4cf5a73d959010ea0a0d80ca
38558,https://github.com/cran/dartR,swh:1:snp:dfba33e2749dd2da378f13159b824e5f33fb9135
39087,https://github.com/cran/almanac,swh:1:snp:d1debaf87086be2a6382431dc81513be0615dc58
39241,https://github.com/cran/stablelearner,swh:1:snp:cfbb080c794f6024ba4761498ba4ce0eab5ac528
40176,https://github.com/cran/simr,swh:1:snp:637d235b99937014e002ca100f8f068517f05102
40289,https://github.com/cran/multinet,swh:1:snp:3c049047487484ff988ae0457ef8c1b8681ac02f
40432,https://github.com/cran/pense,swh:1:snp:3688619d950a64e9ba63d252397717a807326f51
44977,https://github.com/cran/EMT,swh:1:snp:80eca988cc895112c8244dc30a30e03cb89a2708
43588,https://github.com/cran/bpcp,swh:1:snp:3bd9ec222e7bfebef44657e7bf5a4fe332263efd
43413,https://github.com/cran/RLT,swh:1:snp:a57bd33c9aa1729e4a90bea7936832a49cfdda0b
42946,https://github.com/cran/symbolicDA,swh:1:snp:dfa3d8c10272e09f20785f542f113ef34df9f477
42633,https://github.com/cran/CRTgeeDR,swh:1:snp:366caf120deacaa00c470fb2f9359f8b269c2c4f
42632,https://github.com/cran/wgeesel,swh:1:snp:2ead749dc1cf86ea03576ff54db7122ee9134f09
42279,https://github.com/cran/MVT,swh:1:snp:e4cc4358535482fee976db8102667ec8bb7eddf7
41657,https://github.com/cran/aggregation,swh:1:snp:ddfc0ae3028fc31bd2cb633336f352469758316f
41426,https://github.com/cran/rfPermute,swh:1:snp:520a11ac5819c611b49bb18b605a5eb925568541
40675,https://github.com/cran/exactci,swh:1:snp:38f8c5aa07ece7fb2ca858823da0e8d968c863c8
46063,https://github.com/cran/PAsso,swh:1:snp:6a146abbf85e6ed719db5cf6c009ab35cd62fdb5
46756,https://github.com/cran/neurobase,swh:1:snp:e0bc56d6d5a7c30f41a401d8f868d78f0f89893d
46136,https://github.com/cran/panelView,swh:1:snp:9a3e01d4204fc7683e218306c1133f4c087237fa
45499,https://github.com/cran/deaR,swh:1:snp:734b7d33e9afecc30e49bac385d12c0ecd37af2a
1818,https://github.com/cran/StatDataML,swh:1:snp:84759fd184729983e2cc00782e68c2555887abad
4355,https://github.com/cran/MPV,swh:1:snp:4c5ffed1cea12770ee08257184637b229619be79
4495,https://github.com/cran/LearnBayes,swh:1:snp:4ce4f0a86c56166a33a23d68f2eb2a77b1214f85
4536,https://github.com/cran/mediation,swh:1:snp:84350bf5e065143f59aef6a40707c694f8120355
4545,https://github.com/cran/ICSNP,swh:1:snp:2f2f44b67621a21cd0469ed37c34ab450d538624
6246,https://github.com/cran/ROI,swh:1:snp:001aac4dff02b0c2d6164c51b5f89cf1e2e4adcf
6782,https://github.com/cran/archetypes,swh:1:snp:3f4f251bf97ef5b0e2887debbc5f19aa8c4c3e60
6789,https://github.com/cran/CRTSize,swh:1:snp:f750a6e0e6c76adf032e3f5e7fd0927a6ab9a103
7365,https://github.com/cran/BoolNet,swh:1:snp:b5987016c079dcdff6d72ea4576c541d6b5dccf8
7431,https://github.com/cran/nlmeU,swh:1:snp:6c14c211a7b6526d586979a96f56fc0852340531
8235,https://github.com/cran/lmomRFA,swh:1:snp:4ddcb415bfc833adff61432d6e894cab57ed6a53
8236,https://github.com/cran/lmom,swh:1:snp:6eb6e515d5334d51fd28d43856d1a56e2ffb89ee
8593,https://github.com/cran/ICS,swh:1:snp:b5247b4bceea0db20a87c8691c8ee4576f335ddd
9309,https://github.com/cran/simctest,swh:1:snp:fc4a187ae7ad926dbbae9a71967b44795f3de85d
9554,https://github.com/cran/BradleyTerry2,swh:1:snp:b2578e8512bcdf4fb19c97b749c4c9e10b36d0df
10962,https://github.com/cran/bartMachine,swh:1:snp:dde7cfd6e1858a842a44b8b00259c11a84b92dac
11020,https://github.com/cran/Bolstad2,swh:1:snp:e1a089ef39275817172e106e80efb2dd913d6b1f
11083,https://github.com/cran/cquad,swh:1:snp:3a1d6639e59d33a86f193351ec018b9e96a99a3d
11121,https://github.com/cran/additivityTests,swh:1:snp:95cdcd9cf619817369d29c1bc4e43965bdf9a3ac
11122,https://github.com/cran/expsmooth,swh:1:snp:c6ead6fed44c6be6fc39de395ba0b0e7c7ffb1d5
11272,https://github.com/cran/truncreg,swh:1:snp:e1f34dbfeb681f918b3d9c9726934a6bd22fbfc3
11286,https://github.com/cran/MultinomialCI,swh:1:snp:effc7f2b2e128732ab4b850faceec91734d7733f
11811,https://github.com/cran/tolerance,swh:1:snp:dd98abd74329c9c1fb9f3a13a433e7cbca88aaab
11907,https://github.com/cran/stpp,swh:1:snp:b653041d11ea9643236dce1f857e4beaad62a0e5
12190,https://github.com/cran/SightabilityModel,swh:1:snp:1d7da85165f07e706a49b6c5b894b09acf7e0a5d
12406,https://github.com/cran/flare,swh:1:snp:8877ab049f1b74df41da3bc2d4911655f70a2b44
13411,https://github.com/cran/psychotree,swh:1:snp:bbb114f2a2effb1ab4c61018c291aaab4d121278
13784,https://github.com/cran/Rugarch,swh:1:snp:58f62ea0a6df5f23e0173058e0dad9f6e173623f
13978,https://github.com/cran/evdbayes,swh:1:snp:4fc8a619ffe4988b12733ed9285b19fa83901e21
15089,https://github.com/cran/biclust,swh:1:snp:1d778ed91387623dd89b60b1192f829d960d9fc3
15367,https://github.com/cran/corHMM,swh:1:snp:56c9763fba4115f56778226a856e31b67a417a0a
15589,https://github.com/cran/CopulaDTA,swh:1:snp:1308a8466ae3fd1df7f659ca8e873b2dc5e0e38d
15600,https://github.com/cran/provenance,swh:1:snp:99215e7f749944a9d8a752dc877f89029381a3c7
15910,https://github.com/cran/spd,swh:1:snp:30dc1c8efb872d08f2579ec53fc5fe9e7e000c8a
15912,https://github.com/cran/gmm,swh:1:snp:58c5e93cbbb0246cfc60bd28c80fa96903b11094
15983,https://github.com/cran/slackr,swh:1:snp:5e9b4c9a332135a4e872a8ecd078a2603029cc0a
16002,https://github.com/cran/rfishbase,swh:1:snp:ead87cc8058c30859f9612e47b4e0c26939d0d7f
16066,https://github.com/cran/psychotools,swh:1:snp:297565d86eca40a0e80795761915ef56cff83335
16104,https://github.com/cran/rsvd,swh:1:snp:b4d24e0d50ab1855686be7c1a37ffbfbba3aac03
16383,https://github.com/cran/PKNCA,swh:1:snp:11de9db2cb98279c79d06022415b8772e7c1f5ea
17229,https://github.com/cran/metasens,swh:1:snp:e16675bdc20cf66338aa5c3479b0b37dc58f32ad
17528,https://github.com/cran/CBPS,swh:1:snp:9367454ba44d817512079343d414e462f7a563a2
17532,https://github.com/cran/HTSSIP,swh:1:snp:f387b2fdf7154bdbcf8244cb9530658afab60dc6
17738,https://github.com/cran/DepthProc,swh:1:snp:f83ad61c34bab6a4d9776ec111faf1dd68d4b7fd
17783,https://github.com/cran/fauxpas,swh:1:snp:a1f4aec05de344e472621ee5092791cb9a76fc14
17806,https://github.com/cran/RSelenium,swh:1:snp:8b1eca4220ed8348472b29240549bc1cbe7bc4ad
17926,https://github.com/cran/reda,swh:1:snp:53192f0266070b69325015b050c727d41c466148
18148,https://github.com/cran/etasFLP,swh:1:snp:abf0504109571ab226efc311cf97daa14c2dff59
18448,https://github.com/cran/HistData,swh:1:snp:963f9910bc804417a536986337c67881c7cca8ca
19271,https://github.com/cran/roahd,swh:1:snp:badc33125a145e40ad62ca4cb46dbb3686d1a004
19278,https://github.com/cran/rpanel,swh:1:snp:7f64c93985c228f909f313bdf283b816b084f3ec
19341,https://github.com/cran/packrat,swh:1:snp:f641b22a8e94f23fc5c52af40f5a9a3a7673ce1c
19469,https://github.com/cran/lsa,swh:1:snp:6df5c3ea5db5dcdc03b6d4809a3cc6776d9a73c9
19799,https://github.com/cran/rsm,swh:1:snp:40d81edcc2dbea780879c46f8d6aa0bec8160289
20058,https://github.com/cran/Rmtstat,swh:1:snp:4ee51ef277d381cae2a35eb22f4dcf23a6fb1b3d
20444,https://github.com/cran/MfUSampler,swh:1:snp:31a4810c5e069b3e46c24394689ed2fea309e370
20811,https://github.com/cran/isotone,swh:1:snp:0b15803f73bc3bfb3c2bc513ae57e809a9368189
21071,https://github.com/cran/ars,swh:1:snp:59e185ff07288301d25a179cc53085964e5f20c0
23392,https://github.com/cran/stream,swh:1:snp:9f18ddeb8db39da14bf58ce152e138db12797990
23443,https://github.com/cran/Anthropometry,swh:1:snp:47cdfbc1f58265fc6284d378c23e339a3bb69f2f
24204,https://github.com/cran/sendmailR,swh:1:snp:63f336b933b4f9dbc8ffc5d08f03dae814f83b76
24313,https://github.com/cran/rcdk,swh:1:snp:346f813ce3ef83a13b97a47789e0e1e38821d801
24545,https://github.com/cran/qvcalc,swh:1:snp:6531de682c161798be3d739a7041d896f52ebd50
24732,https://github.com/cran/synlik,swh:1:snp:cdd6798ff35ae1e75c77ee16b2d6b9d2d9ba0fc4
24896,https://github.com/cran/conf.design,swh:1:snp:e8bdca718957ef3c9692af5cf2303e6197e31189
25027,https://github.com/cran/scalreg,swh:1:snp:7a188c892ad5c1105e541b4c2bd26f1a46871d10
25169,https://github.com/cran/candisc,swh:1:snp:5d279392f348c3de774d16d2f1c19c1f4f59eeb7
25604,https://github.com/cran/fma,swh:1:snp:7bf6588a49f4d2c0a2a0c49670720bf2c1c117f9
26085,https://github.com/cran/fingerprint,swh:1:snp:173dc1685ac9faca8aebc9720e4a1a710d47034d
26193,https://github.com/cran/semPlot,swh:1:snp:8b6baaa7f510e7da56d7955523a385dc9a09403d
26715,https://github.com/cran/batchtools,swh:1:snp:7dc3befb47ed3b95c719d03d2f50c3d4a2202cc7
27434,https://github.com/cran/visdat,swh:1:snp:57f14d1952f7b9ce3f141b88150b876e14ba95d4
27590,https://github.com/cran/condMVNorm,swh:1:snp:11a21b1e9a9a685459ebf45b71987e043193a35d
27780,https://github.com/cran/SpatialEpi,swh:1:snp:332865c9c26e863d42cfeca37f6e7314cb76862e
27793,https://github.com/cran/Rdsdp,swh:1:snp:317441ea2e9c494046dcc747e8c3103b2650ed4c
29081,https://github.com/cran/vein,swh:1:snp:9e3dbb065754f3966c447a43608992915a281aaa
29082,https://github.com/cran/cptcity,swh:1:snp:6c6a0249b89960a7b3fa056cc48d7232fe378e9f
29407,https://github.com/cran/rslurm,swh:1:snp:bb52dd3b58f3359a7aff8760c8904c96875737fd
30383,https://github.com/cran/openNLP,swh:1:snp:cb839137363532f874e430515fde43beb77bfd52
30898,https://github.com/cran/modelStudio,swh:1:snp:1b7c579315081b2891ef5f1084ffbf17b555f45b
31035,https://github.com/cran/ForestFit,swh:1:snp:74482a6a2aee5979f0b3cde9ca837afbe7df2f6a
31533,https://github.com/cran/valr,swh:1:snp:9284b5eba4b1e1acffe84b0d3e15707dae76ee37
31566,https://github.com/cran/AmesHousing,swh:1:snp:41d8a55e2f0ce97df6e3c9603b39356773433292
35207,https://github.com/cran/forestmodel,swh:1:snp:5ce04109c032aa9c0df57a6e66ee9f6b5c7f02e7
35219,https://github.com/cran/deepdep,swh:1:snp:d9636bb8dd22b64e86b893adb2c0873ea87068c4
35465,https://github.com/cran/spectralGraphTopology,swh:1:snp:dac42c4d00ed08bbe26c6a160242d36f633a942b
35879,https://github.com/cran/BTM,swh:1:snp:c18c8075347141335e35d51d8c0c43fc18b026ee
36722,https://github.com/cran/idefix,swh:1:snp:48b0a0e84122a83bfd54544086f9b1a07e9cd31a
36735,https://github.com/cran/fpp2,swh:1:snp:e5117ae411bff68a41bebd854830b801b8ec3f9b
36823,https://github.com/cran/OncoBayes2,swh:1:snp:d9a2dc45a343cd68fc140be86cacebc6c0b79661
37933,https://github.com/cran/bama,swh:1:snp:02ea27be3cb9fef091683b48476f2271f0315dc7
40213,https://github.com/cran/rflexscan,swh:1:snp:a5b28da753cb45f2c3d1bc5033c20b28eb504153
40348,https://github.com/cran/ezcox,swh:1:snp:f3ceb958aa70d88054f4b04401443963f6ed36de
45048,https://github.com/cran/roll,swh:1:snp:e0847f04d00e9f37198b50fd55be2cb86d25f435
44503,https://github.com/cran/svDialogs,swh:1:snp:67350f912fd7e0b0dd9b592a72e3a47e7c80390b
44467,https://github.com/cran/metaBLUE,swh:1:snp:5bdea2da9d841813818b4efc74e9ff8c851f5672
44072,https://github.com/cran/OptimaRegion,swh:1:snp:9b9298e62142e38aaefac5db6a956434a87080f5
43695,https://github.com/cran/wdpar,swh:1:snp:10b9d44a3950deaefd145e2c7043062087c652df
43251,https://github.com/cran/Lingtypology,swh:1:snp:0878d983e74cdc0f82b924be6049f139796488d3
40854,https://github.com/cran/mdmb,swh:1:snp:16f898469472610aded941f8752f2f30f11836f2
4574,https://github.com/cran/gclus,swh:1:snp:e8161fd6b7685d28aeabc19a73986905fa6b1bb0
7323,https://github.com/cran/dtw,swh:1:snp:e75a8a2617c9395688cff068aec5b1e7448d2a41
8030,https://github.com/cran/C50,swh:1:snp:ddbb993db07eec78eaff6243ffb40b03ed62a5f5
8076,https://github.com/cran/gnm,swh:1:snp:83bbd706dc7e584c3ea5cb07366579dab360752b
8085,https://github.com/cran/ca,swh:1:snp:3752d68a550b2531561f8cfac07e3190ee13ab49
8241,https://github.com/cran/filehash,swh:1:snp:3a5f2cbefd7d45ea4c5c064d7b3cc2eb23123ec9
8294,https://github.com/cran/Splancs,swh:1:snp:9c30fb1cab1e1518306443bdf7aa3bb5fffaf6f9
9497,https://github.com/cran/clue,swh:1:snp:748aa0983595a4aa2e2f71392724dd47cb2ad1e5
9553,https://github.com/cran/vcdExtra,swh:1:snp:fd38fe5b4520b75c6aa17a54fd971674ad6ab4a3
10612,https://github.com/cran/RcppDE,swh:1:snp:e5cf26e7182d1112da22efa4b866fa4f07064d85
10626,https://github.com/cran/Cubist,swh:1:snp:0ea86df13038568f71de59dd3d165f288cfc2aef
11071,https://github.com/cran/CircStats,swh:1:snp:7b137ad21c3e0b843052089865f8f07c955bb617
11211,https://github.com/cran/etm,swh:1:snp:150fb90f44dc3c0a4b41f40085b2d72b684e324d
11214,https://github.com/cran/logconcens,swh:1:snp:70f36abe07ff0123da97690fa9c3dd1067e0eb07
11275,https://github.com/cran/miscTools,swh:1:snp:8e997ddf2ff3acad4db1151150c30b6fc0781291
11395,https://github.com/cran/Epi,swh:1:snp:65e586045875711ee7ccd233c2c8be0725f1c631
11590,https://github.com/cran/lawstat,swh:1:snp:d65051aed7e463ea0838a9924afbbbe7681303e3
11614,https://github.com/cran/linprog,swh:1:snp:28007bbbff8a241502e800d2cb5c432f02fe49ed
15306,https://github.com/cran/dtwclust,swh:1:snp:be48800396160cd8fea861f4964194309d954c0c
15395,https://github.com/cran/xmeta,swh:1:snp:640bcf80c559834728c4dee417956f1a453dddf4
15800,https://github.com/cran/matlib,swh:1:snp:6275bab0cadc45b1259e87a2864012f429e3f2f8
15917,https://github.com/cran/orthogonalsplinebasis,swh:1:snp:d5f03e895c3fe76807b66405e0eb555dc43c29e4
16124,https://github.com/cran/clusterSim,swh:1:snp:cfcc584e368fa9f6d1d86887b0f61cc2f3676b32
16282,https://github.com/cran/enrichwith,swh:1:snp:c54bac9d7e80bea0df0d0cfdbd95bc16ffca2c80
16378,https://github.com/cran/rcbalance,swh:1:snp:1218af9b1dc24d0c3759de353926afc6d289c22f
16594,https://github.com/cran/DHARMa,swh:1:snp:01a91c4d296d175b714019c47d4d2fb3d3d24338
17097,https://github.com/cran/ritis,swh:1:snp:bd729a3fab8efe062c1bff6e6334ddc6027ede39
17225,https://github.com/cran/MAINT.Data,swh:1:snp:e37b8f54002e74c841f81af5f8d5284b9edc0d4a
17236,https://github.com/cran/mvmeta,swh:1:snp:ab1fefe1f47c5d3bde4445594ecf1fdd2cddb391
17899,https://github.com/cran/compound.Cox,swh:1:snp:c05018cd1f2fbebfc469df2f8baec4e6e0a54d94
18466,https://github.com/cran/bold,swh:1:snp:5ff4709e3c7629963ccc67eecb8b556bbca76826
18472,https://github.com/cran/InSilicoVA,swh:1:snp:34076eb4656887c11f7ce84df9dcb48bf53d371e
18923,https://github.com/cran/ggalt,swh:1:snp:76b5b7edbd275aa6f507576bcc7709e04f8270d1
19183,https://github.com/cran/ptw,swh:1:snp:33f422960c7548276257ecd3b638f504d89faee6
19746,https://github.com/cran/formatR,swh:1:snp:ff54fe6dec2db9a70569ff03a5732b7f227926ae
19751,https://github.com/cran/epitools,swh:1:snp:f4aa0714dcc34d70ae0bf995f6700939fa4b875c
19771,https://github.com/cran/pso,swh:1:snp:9b7fa1912c5033b4ec6c9fe6f4e339864cf3d666
20714,https://github.com/cran/mpoly,swh:1:snp:a88cf14a2d293df7770c922d894f4f3e2a84127c
20886,https://github.com/cran/TSP,swh:1:snp:7301c5f3bebb26fb054473da2446fe943f48c67d
20888,https://github.com/cran/hash,swh:1:snp:60ce2899438e395d065172b7cd78f7974480d01e
21075,https://github.com/cran/ecp,swh:1:snp:08571f33c5d1ae601251f98a54bac5a35db9d404
21253,https://github.com/cran/taxize,swh:1:snp:68c326d188e455227226a59ae9f32f4d144c166a
23113,https://github.com/cran/mclogit,swh:1:snp:16db59eaf7709684f566b42597f7c60e86045423
23157,https://github.com/cran/coarseDataTools,swh:1:snp:3a3658b6e8d0aedfe917819464fe74eb1cf3b614
23391,https://github.com/cran/DendSer,swh:1:snp:f58cd9e1b2f51b1bc72250671025a60298f0015a
23494,https://github.com/cran/stabs,swh:1:snp:c4e9546d24a1ee6e282c9bd648d4fc0663b9b1f6
23549,https://github.com/cran/dfoptim,swh:1:snp:d82b6b6ab34dd793438142fdf59a2c6103e7f0b0
24060,https://github.com/cran/EpiEstim,swh:1:snp:531c70f98de88d5275f194729fc7304894aed721
24215,https://github.com/cran/rmapshaper,swh:1:snp:e33527f93620da45a4cf2e4d4e8e9471565a8ba4
24334,https://github.com/cran/Rcsdp,swh:1:snp:aadb2aa952db6e1061b1e5cc377c973d02ae66a5
24406,https://github.com/cran/matlab,swh:1:snp:d39e7908a27ddd9b9e154de2f6932d98f56f8f11
24624,https://github.com/cran/R2HTML,swh:1:snp:005d1c526deb1b10693531b8ae27ca909dcd8e9f
24706,https://github.com/cran/oro.dicom,swh:1:snp:19ff8090388460f8dc70f0af1b0df8a43f2db625
24900,https://github.com/cran/randomizeR,swh:1:snp:95a7dc51d98369ef5b3fa49f2bb3a8f2cc248afd
24918,https://github.com/cran/gap,swh:1:snp:fecb02d65f703ec114a8530344e33ba70cf88fa4
25005,https://github.com/cran/cartogram,swh:1:snp:49f880a9e00e0f50bddd1a0f6dc55cc6a62af60f
25125,https://github.com/cran/Epi,swh:1:snp:65e586045875711ee7ccd233c2c8be0725f1c631
25626,https://github.com/cran/qrjoint,swh:1:snp:0214061d75b19a6ca5972ee59666c58446678523
26030,https://github.com/cran/extrafont,swh:1:snp:dd611a61e0f9cb5547803a2e5d1e0687d80f9dbf
26032,https://github.com/cran/xlsx,swh:1:snp:96c09850741a5e882e3a98017adfa9a5ddaa3931
26033,https://github.com/cran/xlsxjars,swh:1:snp:5294fc41af7b2d1bf90df0da53cf3d41214c1f56
26094,https://github.com/cran/DALEX,swh:1:snp:d99b030d26ae32634d643fbef474965b6a38ea97
26112,https://github.com/cran/sklarsomega,swh:1:snp:11c465fe14f36999e26e6de2d86e9a88c74fbcbe
26194,https://github.com/cran/semTools,swh:1:snp:d38b2a93d6f1b5bc6043bde8cb7dbece16402333
26205,https://github.com/cran/mmand,swh:1:snp:da71427da7c0fc800e488acfdd7f13095d10977a
26311,https://github.com/cran/LSTS,swh:1:snp:2a0b1eda2925660098d6ae6c67059e9586e8ddd4
26787,https://github.com/cran/assertive,swh:1:snp:2c49d5e8197c3eaa844212dbf54ba2c999c08666
26840,https://github.com/cran/RRF,swh:1:snp:c4ff26616f3ebdd05c5d56ae0adeb0a9b08fa8b3
28272,https://github.com/cran/ssMousetrack,swh:1:snp:1eaa8c1106a7349359cafc38c4fe9ab9d3fe5479
30380,https://github.com/cran/splitstackshape,swh:1:snp:7bfd1394ba18b54c8e14c006bf3d19a5ca748878
30902,https://github.com/cran/ingredients,swh:1:snp:f93bc385895f5ff31773b69df8a698424ad0d137
32423,https://github.com/cran/rTensor,swh:1:snp:55d1b0d4b22e4716e39cc296bf842ab2471554a6
33937,https://github.com/cran/HDInterval,swh:1:snp:54d629a4257144ed503a595acf6605e6458c37e9
35171,https://github.com/cran/EFAtools,swh:1:snp:157ddf9ccaad60c940fa9ba1240c42cade3eae1b
35214,https://github.com/cran/flashlight,swh:1:snp:abeb64b4ed5efc2ecdbd0ec5f6cfac7619161838
35581,https://github.com/cran/survHE,swh:1:snp:847c5270ec6da091ce95922d0fb2eaf634e6af93
35677,https://github.com/cran/Publish,swh:1:snp:71e59763457c3e734d24a700570281ca47efcf06
36469,https://github.com/cran/gtsummary,swh:1:snp:0a8256c6269b30cff9802b1fa1e088c6f04353ec
37118,https://github.com/cran/coronavirus,swh:1:snp:2277c14ef1a212e5d760e07142d5a6f75a4baf0a
37952,https://github.com/cran/stabm,swh:1:snp:3e8c8da5bac81e7b56149c53fb6135d84e0c5d4e
39008,https://github.com/cran/leaflet.extras,swh:1:snp:b533f4b1670db7706c358d2810621da4bf3f26ce
40177,https://github.com/cran/shinythemes,swh:1:snp:530bf4894f9ea315b87b08680dac8225e45ad90d
44844,https://github.com/cran/nnTensor,swh:1:snp:228a77e9161a54d036e1d4c5bd2170fe6ed56c08
44779,https://github.com/cran/drda,swh:1:snp:8693b8facf60b3e940cb0932ce60144b691b9362
44774,https://github.com/cran/mixmeta,swh:1:snp:cc2bb78b070024a43436d65e1bcffecd052c15b2
44539,https://github.com/cran/rcompanion,swh:1:snp:743ebd20afffda162d1237b19e467d5483d3123e
43873,https://github.com/cran/tramME,swh:1:snp:818f88b7b0cdf8eee72eeab26730e0cbddfae744
43855,https://github.com/cran/ExactMed,swh:1:snp:007e875a5505155a01300cd618a0be85665df4c1
43774,https://github.com/cran/smoother,swh:1:snp:a9c6d18a296a643f87d6d6a97728e6afa36b8a04
43538,https://github.com/cran/mvp,swh:1:snp:84cd96a81b59e4192153c195ff7c01c350f11734
43113,https://github.com/cran/psy,swh:1:snp:2394ab3b88d7dd554c9d03808e6578b6450fbae1
43006,https://github.com/cran/elevatr,swh:1:snp:4a00159ae951598bc9a7442e3ad28a8b640de813
42423,https://github.com/cran/condvis2,swh:1:snp:346862ba0b6d03b20a9aecba51d3f49af672c404
42187,https://github.com/cran/PINstimation,swh:1:snp:cada21b9bd8f820cb2ea2fecbd6431c189f3cd45
40926,https://github.com/cran/bartCause,swh:1:snp:4cb6a278b928ddd1f390c064268e8daa5e05417c
40872,https://github.com/cran/PwrGSD,swh:1:snp:d771e4c745669b700f61c6a005f2bf27f6aa8278
40863,https://github.com/cran/qgam,swh:1:snp:cdd76e2c6e8b6b40939443d657df8e748a4f785c
46528,https://github.com/cran/qmvs,swh:1:snp:34552c354b2530d4ccdb7d5c70fea7b0e7e17767
45953,https://github.com/cran/dcTensor,swh:1:snp:47a04ef741aafcf99fef2a7ea2788d15897428a3
45561,https://github.com/cran/match2C,swh:1:snp:a6137f21b6ab50e6da035770eb71bce9832e12b1
4377,https://github.com/cran/p3state.msm,swh:1:snp:1016783f88829a457de80e0c9e9f71162178b495
6091,https://github.com/cran/rda,swh:1:snp:e377e04765f17f2c14a3a968776e62fbff0f6592
6776,https://github.com/cran/VIM,swh:1:snp:3f565fc4136caef4c9df983d92f51dfbeda56b99
7329,https://github.com/cran/textcat,swh:1:snp:06f756a157903463d63a2663d33a81df732f6acc
8047,https://github.com/cran/cmaes,swh:1:snp:9aa8b7747757c9c0358c028b278d33ea0005bd0b
9368,https://github.com/cran/Runuran,swh:1:snp:bb5c9300d236fb9ad149e9f79ef849f186940778
10614,https://github.com/cran/RInside,swh:1:snp:3ec5592d78f2e7e03ba4e1d3dd72585137b9ed3a
10616,https://github.com/cran/highlight,swh:1:snp:c37eab03847ee25287f293e6fad1853246853852
11299,https://github.com/cran/NADA,swh:1:snp:d68537895922ff0d882fbd1e4db0ea5bc8b83bb1
11958,https://github.com/cran/TSA,swh:1:snp:109803777566ded77104af3a01e288c749daa97b
13531,https://github.com/cran/arulesSequences,swh:1:snp:230fa0e5689e8f59f6bd503dfb66fea370ee9688
14011,https://github.com/cran/fda.usc,swh:1:snp:3d05be7e22aa72249a5432d1467f85b36f7bb836
14045,https://github.com/cran/crs,swh:1:snp:c6395ec1b61926face3ce49301aef6a3126fae55
14244,https://github.com/cran/robustHD,swh:1:snp:1314b050d4d6e1e9e0be93d6e156ad651b93c62f
14419,https://github.com/cran/quantspec,swh:1:snp:89b9b3f360686f877fcfae55c429a1641396fe42
14698,https://github.com/cran/scagnostics,swh:1:snp:64e3f59175b3b0ab4bd0c71e514d82a07bb58042
15270,https://github.com/cran/Delaporte,swh:1:snp:88fcf2c6f10e533b5e60d18e3b7d03b8115a5b0c
15467,https://github.com/cran/saeRobust,swh:1:snp:aa31c1e25b6dcd679b563f66bca2d08428de548f
15485,https://github.com/cran/MTS,swh:1:snp:a0099c7b4ef497190e2088fb6d9abbf1cee26edb
15544,https://github.com/cran/SpatialPack,swh:1:snp:eed89430f546d01c279c5ab2859cf56139c672a8
15860,https://github.com/cran/recosystem,swh:1:snp:d65caaab9122229a3d3628eb190743d7becf3622
15872,https://github.com/cran/SiMRiv,swh:1:snp:cf9f66bd27d887a177e5b875ff02d0028eac71bd
15896,https://github.com/cran/codingMatrices,swh:1:snp:c075f3090627bf73cc67b0ff192ccb5519d75896
15900,https://github.com/cran/corrr,swh:1:snp:0dd6889d79ae8d96c7a8678ab08be052555b5445
15971,https://github.com/cran/phyclust,swh:1:snp:e6399938ec9fc261c1a972bd502975831f1ad4ad
15977,https://github.com/cran/dggridR,swh:1:snp:2ebf9ab837ae139cd431eeaa5c9693b97461f924
16235,https://github.com/cran/catR,swh:1:snp:6c8dffc1a1027b3883f5ffcd4ec5b3d0f4017fed
16502,https://github.com/cran/not,swh:1:snp:86c91ca0971162fcefad591f396742ae270498bb
16578,https://github.com/cran/mdsr,swh:1:snp:634e0584a1b121fcc204d9dfb7782672e8c7230f
16592,https://github.com/cran/cartography,swh:1:snp:5c83fc013c7960389293d7bc771311d364189510
17077,https://github.com/cran/CensSpatial,swh:1:snp:e91b333b497c58e75f50f5aca400e6a0755f654b
17230,https://github.com/cran/multiwave,swh:1:snp:e4f4d82528c6819732eea30e9cd4cb4b1261cbb6
17754,https://github.com/cran/summarytools,swh:1:snp:9ff11ce72fc056e699d57b1d3f9e5d5d8d41ed36
17771,https://github.com/cran/GEEmediate,swh:1:snp:6f077f9c7628255be47ea9b22ba3f6260ca8a110
18447,https://github.com/cran/factoextra,swh:1:snp:11512bba3fc87158675b8e59fc48d14c1f1c853b
18545,https://github.com/cran/tswge,swh:1:snp:2ffabc4794652937b86a701ec4772b2e07697531
18758,https://github.com/cran/arsenal,swh:1:snp:7c6c5b6d856d7d01d50bd06f0fdbab561b315b97
18813,https://github.com/cran/BayesianTools,swh:1:snp:b120856f3025f0985981cdc2b4b361b01504e672
18956,https://github.com/cran/TESS,swh:1:snp:db4c756625a75f5f3cbbd3577b2fc92653b0784e
19053,https://github.com/cran/parfm,swh:1:snp:48345c471ca26c6000d72dbe10b8446a63b5ca01
19333,https://github.com/cran/plotKML,swh:1:snp:bddd88464e2fa5b0c981086a4f8a33a4fdbeac37
19419,https://github.com/cran/joineRML,swh:1:snp:040a395e9f8b9428cb82a057f109e08f50264f5c
19752,https://github.com/cran/mhsmm,swh:1:snp:9c4eec30a003e59783ab784a59af3035f7e0b1a5
19777,https://github.com/cran/joineR,swh:1:snp:4288488b4969ee754dcf165e8bf7ee7b2589fbc4
20287,https://github.com/cran/regsem,swh:1:snp:1b013b2ef05c50d7904574991ff22350f9241090
20772,https://github.com/cran/stepR,swh:1:snp:d97e34b743006478b994c2ac3844e60bcd878bd2
21154,https://github.com/cran/ExtDist,swh:1:snp:babe7363f31a019fd88aed030450b44346ff3d21
21251,https://github.com/cran/RNeXML,swh:1:snp:1c107b3cab148cd61959c4c4dc8d1b27dd5e2e44
21678,https://github.com/cran/crawl,swh:1:snp:5b2ed15bcc5eda06368ebc51f6d7b04027cf0655
23196,https://github.com/cran/cvAUC,swh:1:snp:bf61c158fd69e4c7baa929a8f3189f411941a32e
23347,https://github.com/cran/pdc,swh:1:snp:adc4ae425901a9365971dd3217b41851568dafe2
23348,https://github.com/cran/Tsclust,swh:1:snp:73fa98f494cc373d9bc7bda11d3fa661afb687de
23533,https://github.com/cran/lmf,swh:1:snp:672bbba608c8eb248eea72259c957a697c1b6b19
23664,https://github.com/cran/markovchain,swh:1:snp:6ac8a0db5044bdefc72c3a263cc71a396fb5de87
23679,https://github.com/cran/micEcon,swh:1:snp:8dd8f70e2a1a60527a06a65a75d893b1d088ef5a
24201,https://github.com/cran/relevent,swh:1:snp:aa7da84c29f092490a7ebbc3ef74b1b60c779893
24202,https://github.com/cran/NHPoisson,swh:1:snp:6294d8b4b124a18c46f1f6ae93d139ccd7e8bab9
24415,https://github.com/cran/geomorph,swh:1:snp:3722bfb5b04e2199e7e638186bf45a1223e992f0
24428,https://github.com/cran/mmeta,swh:1:snp:e28e3f09ac8e1ec9eebf209f4dffc1b4cdc488f8
24433,https://github.com/cran/alphashape3d,swh:1:snp:f90bd897ae45d98d273c897413c742f5bde70cfc
24663,https://github.com/cran/gender,swh:1:snp:8644d7f704d9eb2cf68e3cd6da85fefdb5309969
24838,https://github.com/cran/OAIHarvester,swh:1:snp:a56d261985133bb38438249d5d178b76ca3c4b3d
25628,https://github.com/cran/hgm,swh:1:snp:0b99d9b9c7910511b425a4f5a1556400a8aa1717
25708,https://github.com/cran/wordnet,swh:1:snp:9a083bc656e74a0edfa78e176c6440f566aab6d2
26027,https://github.com/cran/tseriesChaos,swh:1:snp:a9492818ae5f95915a092744561b7046dd3b3d9f
26428,https://github.com/cran/MLmetrics,swh:1:snp:81c3fb58832b55be04d85a093955c651f6c79534
26433,https://github.com/cran/SKAT,swh:1:snp:f7b51c33662dd68d2b2308030f872761c6e4b2c5
27219,https://github.com/cran/phyloTop,swh:1:snp:e80ceeb2370d8d2da8580faa8f15633fdeb98480
27754,https://github.com/cran/TSdist,swh:1:snp:6aaefaefd78c37fbfb07efe164cdb44c19fc2f53
27784,https://github.com/cran/lmridge,swh:1:snp:2e6a81cae3ef9fedfed2b5baab08adbeff1ec55c
29393,https://github.com/cran/DMRnet,swh:1:snp:8ae4e06e98d9d93088e090b070fb5959de1c1447
29816,https://github.com/cran/RTransferEntropy,swh:1:snp:2cbe96dd252ad89ca1006d83306eba52a1de5166
29887,https://github.com/cran/pcaL1,swh:1:snp:2d71551284dbfdedd4e7be3285e61e20abe99404
30381,https://github.com/cran/recommenderlab,swh:1:snp:6ad3a6fd700047a862476bccef3b3fac7afff454
30858,https://github.com/cran/corpus,swh:1:snp:ceb57516441e57a2a593cc2e112ee3029da97e33
31037,https://github.com/cran/BiDAG,swh:1:snp:3486d63fff82d3285b084e4ccfabb5198f4e81d5
31439,https://github.com/cran/SymTS,swh:1:snp:5a7d6bc33159aeae242effbef25d5a22380c1e4e
31620,https://github.com/cran/apTreeshape,swh:1:snp:5d15ae38f7727336ed9cef0fa9f7d501936f3f28
32409,https://github.com/cran/freqdom,swh:1:snp:45c17ff83614dace62f82af8bff12e7cf0b2cbf8
32424,https://github.com/cran/acepack,swh:1:snp:f00570228212aadbfdc9cb6dd244aff624aedfe8
32862,https://github.com/cran/dlstats,swh:1:snp:132fbde23425ba16f03f1e9e155d6d9535a12c63
32863,https://github.com/cran/log4r,swh:1:snp:5ee30df44bacb541c049ad1c0b4a0fb230ea799c
33260,https://github.com/cran/webchem,swh:1:snp:bd258b856cde7696e1b050787478eb8a72379652
35211,https://github.com/cran/naivebayes,swh:1:snp:81d05f580214151c5aca089c98b71c050ed185cf
35733,https://github.com/cran/conjurer,swh:1:snp:1f6077da0f5adaba4c7024b01e398ddc1084062c
37333,https://github.com/cran/lpdensity,swh:1:snp:5b56ad280c56841704aa131e23f725054cc54ed3
37421,https://github.com/cran/PublicationBias,swh:1:snp:ec61cf178e5225cfebf5020cab59747c95489e51
37927,https://github.com/cran/SampleSizeMeans,swh:1:snp:6a4b6991bc14135cc1f97326d6e9a6a1e962f4bc
38792,https://github.com/cran/smooth,swh:1:snp:4ded51fb4177f8371f083329cea00927672773b2
40652,https://github.com/cran/Arothron,swh:1:snp:a122b82cdfc75dc2be94115917c24c228445c8cd
44221,https://github.com/cran/tfprobability,swh:1:snp:fa6e6a52c6ef65662b34296aa681f5da4d16a6c3
43547,https://github.com/cran/opentripplanner,swh:1:snp:6c7d7ab5d5f8248d43607a33fc920652437df2ea
43175,https://github.com/cran/CensMFM,swh:1:snp:d28cabc7b73c3b3c75b601c43daa988096a5b55a
42861,https://github.com/cran/StratigrapheR,swh:1:snp:9a995ea399e97a449bb94a5c8bb239935b108da0
41960,https://github.com/cran/ecmwfr,swh:1:snp:691e174414e0c28e130fa63338abfe0028e12250
41876,https://github.com/cran/fpp3,swh:1:snp:6e46f0538047b724687735c32d0ea871d463ff86
41794,https://github.com/cran/SampleSizeProportions/,swh:1:snp:d897e7a09c3bb8ba3dc91d2164e0e36db6bae450
41644,https://github.com/cran/tlrmvnmvt,swh:1:snp:6a09943f9351e2a9836dd71b48f3092b660b8aea
40873,https://github.com/cran/pwr2,swh:1:snp:9b5c7d550f189147e90e4db1bad400374a65ee64
45391,https://github.com/cran/HypergeoMat,swh:1:snp:9094e1e3a39b80d5ffd396860aab68224cb2a1ee
8176,https://github.com/cran/DTDA,swh:1:snp:7687604cdc7ffa7a84c097a98bedee97b2245618
8844,https://github.com/cran/HSAUR2,swh:1:snp:3be92761f7f742172fae7b4ff086db4a16d37b24
9329,https://github.com/cran/samplingbook,swh:1:snp:a2257b7c259249eaf0c8cfeae1aee0a37659eb6f
11194,https://github.com/cran/gte,swh:1:snp:51da52031c06dc147e782d8772c359e7faef73f3
11198,https://github.com/cran/haarfisz,swh:1:snp:4ae1c676a3c4b8ac0ea33f31c79bdce328b0e88c
11212,https://github.com/cran/landpred,swh:1:snp:f5171ebbb5c2517bb24d51db95e04673dc950a29
11269,https://github.com/cran/mlogitBMA,swh:1:snp:a77313574ccc65b5ec0849f9a1b4fe420f7a15fd
11935,https://github.com/cran/SvyNom,swh:1:snp:8d6b16833e86ab05ab40d60e8de0fe71fedce3d8
13841,https://github.com/cran/sgr,swh:1:snp:693368d448056bb68616c471f69fc06292226829
14503,https://github.com/cran/spikeslab,swh:1:snp:5129d0b378a448aad7aa1591e9975494bb833a13
15333,https://github.com/cran/clusterSEs,swh:1:snp:e7485379e565dc02aed2233c434ab57b3236c7c9
16512,https://github.com/cran/zebu,swh:1:snp:9896573909acad3f47c5245ca3d2ac39c0c158c6
16563,https://github.com/cran/BIGDAWG,swh:1:snp:8c9eb1335d8033713c23f9b2180161a52c0d6d78
17221,https://github.com/cran/paramlink,swh:1:snp:70d2e3776063411628bd5b5663a408737886d040
17521,https://github.com/cran/rdomains,swh:1:snp:3ecfcac8b2e575456b30808bee9034fee55376f7
17545,https://github.com/cran/BayesFM,swh:1:snp:fbf17effbf6ee2a1f54b20d125d6bb3833cd8d8a
17546,https://github.com/cran/bayesImageS,swh:1:snp:b4586f23933756e83a9fe55267cddd8b3c03f080
17759,https://github.com/cran/mpmi,swh:1:snp:2b29dd8d23bef5351e8aafd7f5e79e0079510c3e
17925,https://github.com/cran/FITSio,swh:1:snp:5c6f18fef0bb127ceedcbb2177ad0da8a0f61b27
17933,https://github.com/cran/IRISMustangMetrics,swh:1:snp:433fd4d6ec28dc270ecc6213dd1f1e330964f7dd
18368,https://github.com/cran/easyDes,swh:1:snp:da03377780789fce2485dd30f859cc6878f98939
18452,https://github.com/cran/RKEELjars,swh:1:snp:2043bdc66cb3fe8b2935db6a94d2bfde17072987
19179,https://github.com/cran/funchir,swh:1:snp:cf0e33a52c9b93a7147f168f4265ff151396674c
19421,https://github.com/cran/MGLM,swh:1:snp:beda91fe76a43884434647620d2bf4aebedc1a59
19441,https://github.com/cran/care,swh:1:snp:caddbaf0fe1400f1134e5dd25bacfb1e1d38fb54
19809,https://github.com/cran/LDRTools,swh:1:snp:90e6f759b3eea16db2dd1ca96cf24f888c4c27d1
20025,https://github.com/cran/kequate,swh:1:snp:4755cbd95b328474d9350e14fd883f2dff1c7a7f
20527,https://github.com/cran/ordinalNet,swh:1:snp:ad3666088b159a017ea97ebad0180a5d1e1df365
21263,https://github.com/cran/isocir,swh:1:snp:f3f824a6d0ffcb7cb5dc51bb0aedee4a229198cc
21319,https://github.com/cran/binda,swh:1:snp:8d40b25c4855d4b3d046687977dfb3ff7eed8dbe
22142,https://github.com/cran/Gumbel,swh:1:snp:110dda23119aeb3494c5e2f565621de4d3f01848
23059,https://github.com/cran/FuzzyLP,swh:1:snp:b40641edcc8ef53e4ef21122241ed37b04d8a906
23433,https://github.com/cran/mwa,swh:1:snp:15bdfc1e92e47890d811021e48295e02414d9f69
23849,https://github.com/cran/akima,swh:1:snp:72107c0840d056b0f39749ba640194a72362a4a2
23961,https://github.com/cran/simPATHy,swh:1:snp:3b30c019e70dcc5c790a9c08f1b37620f6b57b63
24136,https://github.com/cran/gsarima,swh:1:snp:abaeba09572691a3cf37ad16a0932abd8331b54a
24150,https://github.com/cran/sparsediscrim,swh:1:snp:c3e2a80ce54ec125420a8645b7f98133f2cc853c
24908,https://github.com/cran/experiment,swh:1:snp:c2fb97610014dc905c77c966758834c69b4bf0af
25356,https://github.com/cran/smoothmest,swh:1:snp:d2e3d9d7bf69ffb04722c2475bde9ceaa547a0b1
27387,https://github.com/cran/caribou,swh:1:snp:869fc7e68a2d526227309aa5b07cacce55f8505d
28939,https://github.com/cran/tidyLPA,swh:1:snp:56e17a2abaab07560968e8129b9e0e66cdf48b0f
28969,https://github.com/cran/suppdata,swh:1:snp:dd75c5a6e444bb6948d52165a671111f622c889c
29161,https://github.com/cran/RiskPortfolios,swh:1:snp:b9d21aa3550574a27a1c0ea62ecd0e8f8150c968
29264,https://github.com/cran/trendsegmentR,swh:1:snp:c4297bd41c9dd67d9fe74bf2bc0cf8445c2384f4
29964,https://github.com/cran/SurvRegCensCov,swh:1:snp:67ca6b72308f4098dcf4d9e8e5c6ae24fa680d7e
30291,https://github.com/cran/Bain,swh:1:snp:2ce5718b061a20a6b35f4e77887dea612e8923f7
30770,https://github.com/cran/baymedr,swh:1:snp:f8c16773f7d24ef31d8b8eae2e80123eb187514e
31761,https://github.com/cran/BRISC,swh:1:snp:038cd5d7b1db0488aecabe8dddbe575a652543be
31836,https://github.com/cran/BayesReg,swh:1:snp:5bf587eb38167539363f1cf311f2e647dc865448
31969,https://github.com/cran/EpiILMCT,swh:1:snp:3e2277a0756387410e9a779b29861dde7e67ae77
32005,https://github.com/cran/plantecophys,swh:1:snp:a737b712962ef9f750e7a8ac0d4cdf366d7c2c5a
32160,https://github.com/cran/tbm,swh:1:snp:c401ca9b0c5bdc061bc43f43ca890b253aa79e88
32291,https://github.com/cran/misaem,swh:1:snp:44e350124e553137e1f68e6a345acafd38965fba
32474,https://github.com/cran/npROCRegression,swh:1:snp:8d66639a74659b57a950be8fd4dcc61d65629ccf
32730,https://github.com/cran/rbounds,swh:1:snp:a665fe606a2137f8bff8935e4ca087555d3248a3
32874,https://github.com/cran/DTDA.ni,swh:1:snp:2af96b0c4f555a3db25d050182b25d91caf0934c
33569,https://github.com/cran/scorecard,swh:1:snp:0f7db2a1eb9ddc0c47d3b61a2f75e8988c94d2bd
33918,https://github.com/cran/copent,swh:1:snp:d684758121e1493a302ce6ce72545436fe72cc86
34014,https://github.com/cran/TSEntropies,swh:1:snp:b0d7900de9d29724253706e8fc2bad2dcd41c7aa
34928,https://github.com/cran/sharpData,swh:1:snp:38ff8b32b903e5ea96ee68dd58857bc811f7c20d
36219,https://github.com/cran/MCUnit,swh:1:snp:064076420bc3d5216d12f3450000c9b340e42298
36573,https://github.com/cran/edstan,swh:1:snp:f40b4b72d28af050ea73c9e59b224a687035924c
36698,https://github.com/cran/maSAE,swh:1:snp:4fb7eab63b3371419143e6b14375c2040c9f2e80
36824,https://github.com/cran/spatialprobit,swh:1:snp:41639d2b58d3f28afe67071eb1c989ccc98341cb
37226,https://github.com/cran/downscale,swh:1:snp:3d6ac82b57b14d8bfad477b6c5564f4e9dc0b4a2
38061,https://github.com/cran/RBF,swh:1:snp:931d4618e149c1d6aa6083292c4f28657f2205e7
38227,https://github.com/cran/sparta,swh:1:snp:c2aecb82927ed22504cc7e5dcb919aef329b138d
38476,https://github.com/cran/asymptor,swh:1:snp:6226c494f20d750c119014ca994cbae2ad150ec4
39084,https://github.com/cran/hextri,swh:1:snp:65282dca36403da23e50d79a709631699c95c24f
40266,https://github.com/cran/adoptr,swh:1:snp:a156ed8766f823679d80c613564fdc27b877dc0c
40478,https://github.com/cran/GGMnonreg,swh:1:snp:fd2c5b18a196b4b32244a209a5688ebf651911c4
40582,https://github.com/cran/gmapsdistance,swh:1:snp:b49392d0d68017d8c100698464e7b432a40d6b3f
40631,https://github.com/cran/bpDir,swh:1:snp:6b852ec8e174d30d975e23a8a48a56ef9699ba44
45207,https://github.com/cran/oxcAAR,swh:1:snp:f83420f430bfcdc59c7a99e9447f197c86e84782
44785,https://github.com/cran/anthro,swh:1:snp:749878cb98cfc3f4d948fdf4040e6aa527040a53
44535,https://github.com/cran/WR,swh:1:snp:82d9ff55c8bd84519a8f5a79729888bd81c95c1a
44058,https://github.com/cran/HDBRR,swh:1:snp:19aee59bc69d1f4af13c641e0be4268e5f11cd8b
43542,https://github.com/cran/mapsapi,swh:1:snp:89ab83d46c72f44f68d4721eb3ca299ff3b688ca
42817,https://github.com/cran/furniture,swh:1:snp:092db080c53e51c50794c78149d50bd3ea3e2fa3
42798,https://github.com/cran/lookout,swh:1:snp:a4d7e7cff7dd9e802ddd9c38a3e3674aac918217
42352,https://github.com/cran/ellipticalsymmetry,swh:1:snp:80299c816cceb200176903a452280c04e7cf747c
42311,https://github.com/cran/FMC,swh:1:snp:e9dc13c8c218985adb2ecd5fd06b9d5342869bc9
42287,https://github.com/cran/econet,swh:1:snp:1f3e62e9c884e239f0073ae489ea1f6522b9948f
42076,https://github.com/cran/stat.extend,swh:1:snp:557a2b5cfbe90e1ad25490791a57b76ec3f4fe3f
42024,https://github.com/cran/ALUES,swh:1:snp:ace98ff0fd6309161de4559c082da994283a8154
41875,https://github.com/cran/greed,swh:1:snp:5369df613a51029b2212bec084814d5f2f7bfe44
41832,https://github.com/cran/virustotal,swh:1:snp:eaa5190aab7e7ceb38fff5b084eb7b2a496c9dca
41529,https://github.com/cran/sitreeE,swh:1:snp:3a7aed07beae1cc41ab97dcd1f445d99960be403
41527,https://github.com/cran/SiTree,swh:1:snp:c438dd209109fde66d2e72ac015e516a12c1e10f
41262,https://github.com/cran/mlmi,swh:1:snp:171c9e1fd48285d1d738b8adcf956f7fcca5a5a0
41261,https://github.com/cran/bootImpute,swh:1:snp:9dc9a7a26a5b4a8409b4a6247869f8d185988a26
41187,https://github.com/cran/ProcData,swh:1:snp:22a6466e728686d5c172b5937ed0317ca99508ed
40981,https://github.com/cran/SlidingWindows,swh:1:snp:9b5fda8cf5e520d5a2ea3c2ff8fbe02d1c5c9420
40884,https://github.com/cran/abtest,swh:1:snp:db0abc53873e0662e7b7be8ab68b3c33a21fc5ab
45645,https://github.com/cran/SOAs,swh:1:snp:e27915534e5720108e6caf592f75ae0a979d0cb9
45838,https://github.com/cran/weightedCL,swh:1:snp:fff96af989ab2a1a0aa77d0a58ca5591bc218798
45811,https://github.com/cran/SEMID,swh:1:snp:401351feec9669d1b2b4fbc1c18a80f70cbdb200
46071,https://github.com/cran/mixedClust,swh:1:snp:644fd961ed24e241256a98cdda7ca18376486a9a
45822,https://github.com/cran/WINS,swh:1:snp:5d8673d6570b5120861a72eb17b89a6d46a37d2d
46381,https://github.com/cran/WA,swh:1:snp:55328e2467e6602b0fda0833c02f9f4eea24f92d
7322,https://github.com/cran/twitteR,swh:1:snp:5b85b34bf63ec1ff17cab9c7c6f674d4e3885ef1
7325,https://github.com/cran/arulesNBMiner,swh:1:snp:97cec069f2ee2156708ae9ea48433404592500fd
10484,https://github.com/cran/metaLik,swh:1:snp:b16163b49a9b9d98438eb320efdb928a08dbe26f
11351,https://github.com/cran/PoiClaClu,swh:1:snp:da04f754687a0f689b898e543334a11fd87589ba
13438,https://github.com/cran/icensmis,swh:1:snp:79e6a58fe85b38797482faa6b4a7cd74a70d4fab
13911,https://github.com/cran/PASWR2,swh:1:snp:fa2e73691300f35e303e45b5571f3ee0f39922d3
13952,https://github.com/cran/DIFlasso,swh:1:snp:e1b3e5c0a9e1637855b041e0c67476f7d6b050cb
14550,https://github.com/cran/pocrm,swh:1:snp:f0a880d272c68f09b45cad59f096e6f620ee1f09
14690,https://github.com/cran/multipleNCC,swh:1:snp:bf1be1dc214a1d3aba421d36fddc0f34f7d6d3ef
15275,https://github.com/cran/PLordprob,swh:1:snp:4512c18ed79b947878196050e0823e8c252b873c
15358,https://github.com/cran/beanz,swh:1:snp:9132687441ce3d35bd67cbea5ba7fd31c9b86201
15368,https://github.com/cran/jmotif,swh:1:snp:7ea99979537c3c1e6551b070787f7421b1152964
15581,https://github.com/cran/docopulae,swh:1:snp:ec7856e332c532e4145e1a30109abd7a119b48b4
15647,https://github.com/cran/mdhglm,swh:1:snp:5c220f06acb28428bd035dfb9097fb9b243ca504
15690,https://github.com/cran/gazepath,swh:1:snp:8b5b7ff391f74e07a65f1740664f469e992c7b31
15742,https://github.com/cran/forestinventory,swh:1:snp:e479a13ad480c72344afc3d80d86a306caa82c73
15758,https://github.com/cran/RcmdrPlugin.temis,swh:1:snp:853637a4de144fda2df3561466571a91dc21634c
15957,https://github.com/cran/heuristica,swh:1:snp:5c6012de122266bb6328ae6287a1746ef2475aac
16094,https://github.com/cran/sizeMat,swh:1:snp:2b50df5f1d0ab447c5d434634c8a2842c0abcb1e
16302,https://github.com/cran/dfpk,swh:1:snp:9d96e3c9d8bd0fdd78c33bfe82a09f28a986bcac
16306,https://github.com/cran/epanetReader,swh:1:snp:5ac4170feaf58fd8f775522bb6e0af622db4756a
16530,https://github.com/cran/rem,swh:1:snp:10d4ed85a6eb7ed25db7ccc9e1991116a9b31893
16532,https://github.com/cran/iRepro,swh:1:snp:6febed1b7b6dadbb682023de15ab8dd3b58fe63f
16668,https://github.com/cran/tgcd,swh:1:snp:710ecd39e0b92e65b2e075cf51aaeb1b627ee567
16674,https://github.com/cran/tableMatrix,swh:1:snp:5e8228986dfb7173b730245cb0803cffe378dfa3
16973,https://github.com/cran/DIFtree,swh:1:snp:c6f2582a868e36dc12a514a428a8c4b205bbb929
17395,https://github.com/cran/tigreBrowserWriter,swh:1:snp:86b2ad8b4d5e596be63f64363499aca3a58665cb
17520,https://github.com/cran/geojsonlint,swh:1:snp:8566c5d7bb9ad5cc82d3af441dc147a13381345b
17549,https://github.com/cran/hddplot,swh:1:snp:bfbde7fcb41bea3dc6a3db0d7eb885b01b520e28
17755,https://github.com/cran/tuber,swh:1:snp:caf91faf560444bc62568ce166cb65ff31e156de
17896,https://github.com/cran/testassay,swh:1:snp:65fc0f6e65269b3223b2fac6122d51afdbb3ef28
18017,https://github.com/cran/FinePop,swh:1:snp:00298bac3d4de449f9c6eec102d504d60a4c6849
18027,https://github.com/cran/AMModels,swh:1:snp:b543f578f1dfeed249586f27c88455c8c6ee62f3
19102,https://github.com/cran/MultisiteMediation,swh:1:snp:beafc9b46d183d32433d6109dfa974e5fc251f7d
19299,https://github.com/cran/copCAR,swh:1:snp:a89867db57d7d2cf200728d486428c8c3355a0bc
19367,https://github.com/cran/wbsts,swh:1:snp:6634ac10c63ddbe2b7a2b20bc5ae29ecf295e675
20075,https://github.com/cran/prcr,swh:1:snp:ff9e1952cff763081a06e2490aefb2fcbf8a2b0f
20078,https://github.com/cran/ROpenDota,swh:1:snp:aaabe566bf24ecaaec4166063fddc3ce02910940
20891,https://github.com/cran/visreg,swh:1:snp:8a5ba3d35997696ba59764097372a73c4de1ab58
21272,https://github.com/cran/dhglm,swh:1:snp:279ee39c3be14c587aabb9a7b7bc3859d94f445e
22579,https://github.com/cran/lsmeans,swh:1:snp:65e01ad1d6f6660930cabe43fe10e6f6e05c4462
23155,https://github.com/cran/simPH,swh:1:snp:75c86d8ff692c3681972ed92aaac5e8ff4e82994
23416,https://github.com/cran/Brq,swh:1:snp:231beacf3206438a5b4d5d9fe127d2b9fdcc3711
23420,https://github.com/cran/causalsens,swh:1:snp:973bb3a0e44eb271cb4e284f51628e39fecc6f00
23551,https://github.com/cran/CLME,swh:1:snp:98e75436abff317548b72d3756695a97b68673e6
23853,https://github.com/cran/trimcluster,swh:1:snp:32ee31b1e8f086b4edaa2cbcbbce01a819c2c2d9
24004,https://github.com/cran/HRM,swh:1:snp:56cc3d47bc62413df2b231a9aea54d19a1cbb83c
24553,https://github.com/cran/dfcrm,swh:1:snp:8c412a456595a4e6b676f679791c43a3866d857a
25181,https://github.com/cran/epibasix,swh:1:snp:abc69593204ba2b95bcf9d27ddf40cef7d204411
25291,https://github.com/cran/tripack,swh:1:snp:d2a652ee72635ffcc88f6b1773451e354a56e199
25413,https://github.com/cran/dobson,swh:1:snp:cecee5b8ad63637e906907da1a935e776d2b4f23
25605,https://github.com/cran/Mcomp,swh:1:snp:37f6e9d76bed3b8fd18ee0119f1857cc28bfc27e
26196,https://github.com/cran/eegkit,swh:1:snp:271310545aaf081cde73bb4aecc360f9897ac3bd
26839,https://github.com/cran/structree,swh:1:snp:94200ab21a5431d1c62d29ceb3d9d8cc3b558963
28008,https://github.com/cran/psica,swh:1:snp:d2f84842756e04fea8df1ea910a862149dd5fcc0
28142,https://github.com/cran/prettyR,swh:1:snp:0e99a91ac7f5b659054bc146ee0bb24c653f096e
28186,https://github.com/cran/lsbs,swh:1:snp:4f44b9a7d790a6fae2dd0dd4ebfa000bb1486947
28196,https://github.com/cran/poissonMT,swh:1:snp:08b1f1e2c7f7c96ca80f9e68f526f84c81d884a6
28204,https://github.com/cran/FastGaSP,swh:1:snp:cbd332807df530ce80dc0995eaab41136c87a75c
28373,https://github.com/cran/jaccard,swh:1:snp:bab79672622f0c3bff5e1ba27a95019adb4bfbd0
29389,https://github.com/cran/bayesboot,swh:1:snp:1e6e4d76fc6fc6d2b1bc35d3e67b9ad81144a2df
30001,https://github.com/cran/survPen,swh:1:snp:5bf9e5de9e222e13ccf2ca35a6cb88826f6f5202
30763,https://github.com/cran/heatmap3,swh:1:snp:1b550b88ada1572758f41708a7999671758b2c52
31495,https://github.com/cran/SpatialVS,swh:1:snp:6edd696cd8c1b82c2a1118e0a507f2c5d3e7b359
32121,https://github.com/cran/ITRLearn,swh:1:snp:70485fc727ecd4096a21c4290df131636ab3cf59
32397,https://github.com/cran/bshazard,swh:1:snp:ff4f9d3d3ba90c89a0055f1281fb13f80b37ccc2
32404,https://github.com/cran/moko,swh:1:snp:d0937f3ffafc37571cad0cecd3bd7ee69c478604
32637,https://github.com/cran/W2CWM2C,swh:1:snp:004259c3f5e81a0e4acf61d2d1dd468de245cfa4
32732,https://github.com/cran/Umoments,swh:1:snp:1f51f3fbdf595ece4921d5dc5dfc585ee842d4de
32733,https://github.com/cran/CGP,swh:1:snp:9f7432aeca0ad59664eefa58d74f2caaec4a190c
33317,https://github.com/cran/bayest,swh:1:snp:b3caf71fd4828055218904f97cfe504c97701978
33767,https://github.com/cran/stochprofML,swh:1:snp:d42d1efd02cde4136a9b2101661dad3a6476b725
33868,https://github.com/cran/cold,swh:1:snp:b7d6713df201004ad0ec1e8d3f6cbbdaf33b8acc
33921,https://github.com/cran/GNSSseg,swh:1:snp:29b86a51d4965d6394a0d7bcc638ebb9335b57b6
35311,https://github.com/cran/datasetsICR,swh:1:snp:846765e801298cea340c64626f0c5ac5d7799344
35436,https://github.com/cran/SmoothROCtime,swh:1:snp:474c2f16658584d315fcf6d83dcc7d2dd9152be4
36723,https://github.com/cran/choiceDes,swh:1:snp:131cb29190036dbf58468534ec9bdc94bc2924ab
36815,https://github.com/cran/clogitLasso,swh:1:snp:1df71301a875bfb1474e28a35dbeb0761a7156c4
37182,https://github.com/cran/SAPP,swh:1:snp:a3868414ade992ba2db888d9182e5af21ef7fbdf
37406,https://github.com/cran/FastCUB,swh:1:snp:ac9cc64f24984a57add8b7717e1eb4f0a11bf8a1
37925,https://github.com/cran/SampleSize4ClinicalTrials,swh:1:snp:baa6771a92ef3f3272cb3a75e5c83ba63093dc96
38495,https://github.com/cran/SBMSplitMerge,swh:1:snp:ae387273f3006434eaffc4a23d52e5e818f82555
40495,https://github.com/cran/FunCC,swh:1:snp:e73a6f8e1035795563224956c91c1bfe9e5471b4
44786,https://github.com/cran/AGD,swh:1:snp:2e97ee18a77f50bc5605f4d0df9ac3c3df239ad6
44644,https://github.com/cran/genoPlotR,swh:1:snp:8612232d2992605511e71b74bced5378841f66d0
44265,https://github.com/cran/randcorr,swh:1:snp:4b4bba95197387034c847768e718a8ba4128ece1
43059,https://github.com/cran/prodest,swh:1:snp:7ae24f857c1ba18b63d47bc73d541865b30a7e11
42783,https://github.com/cran/pluralize,swh:1:snp:97336e3fe04c724d44e1b1e0b880f9d2a218cf6d
42683,https://github.com/cran/StructFDR,swh:1:snp:44a3bd02b0d03b2491ba1911ad4a28327444c175
42341,https://github.com/cran/ibs,swh:1:snp:124fd1b2163dd721ea68277b292a61544333d6cc
42284,https://github.com/cran/beam,swh:1:snp:af6e3b82b47ce47e1e99f153f74c115de17e9fbe
41428,https://github.com/cran/rFSA,swh:1:snp:5a164fc5cd3c0991219cedfe9a458dedaebd3409
41030,https://github.com/cran/intkrige,swh:1:snp:3b641f8397bb57ed44a275d0cc7306b4e33459e2
40865,https://github.com/cran/bacistool,swh:1:snp:0bacc13f50d02b98cfa7e2b08521c343d08b393e
45893,https://github.com/cran/spflow,swh:1:snp:3ed52ed0da4de81364c7d0146c611f8c5fa659a6
46679,https://github.com/cran/NPHazardRate,swh:1:snp:2870da5de9daaf6753d63f9c2d0c86b962c705a8
46909,https://github.com/cran/HiveR,swh:1:snp:defbd89e591891d3b02c69f98223671094ae560d
46714,https://github.com/cran/tea,swh:1:snp:7ac45c321fb51d23a7fef87311c7e532eb271d82
46588,https://github.com/cran/SimMultiCorrData,swh:1:snp:4407dd16979a0acba06e1cb115e613fc57874064
46292,https://github.com/cran/miceRanger,swh:1:snp:20e0eec6bd3e7f5da3bae946c6c4f4cd6f8a2e97
8234,https://github.com/cran/depmixS4,swh:1:snp:4d55759581c91cedd59cb842ec40c8f48f4170ab
8547,https://github.com/cran/PCAmixdata,swh:1:snp:70331f1937c23110cbe7b5f84889f6f5746b11d6
11801,https://github.com/cran/poLCA,swh:1:snp:106f87cc871c419294b84b058d5f034a98df5fa1
12246,https://github.com/cran/unbalhaar,swh:1:snp:b53dc47a88d31952e208256e7f7f27e2e0c69b41
12266,https://github.com/cran/SpatialExtremes,swh:1:snp:80d254ea37ac153710b0576e6d35e73a29ba93ab
15351,https://github.com/cran/sEparaTe,swh:1:snp:b01342b39377dfa5083db35df52b93aa1e7e8327
15359,https://github.com/cran/FunChisq,swh:1:snp:c330e67b99bfa98af480a8ebf7bee32ae05ca9d6
15521,https://github.com/cran/NAM,swh:1:snp:bd3c6661ea3e32bf39adc033bddb92102d497896
15658,https://github.com/cran/EnsemblePCReg,swh:1:snp:d6a35db1dcdff3499e69350bfe19f84510134431
16050,https://github.com/cran/archivist,swh:1:snp:26f38015f1654a37011f5e0ba5d194799faa6b34
16186,https://github.com/cran/CorrMixed,swh:1:snp:765f01a4fe2be0c287d5c68c7a871d1a549c72aa
16292,https://github.com/cran/seasonal,swh:1:snp:5c60cf24e32e5849cc53d5c57906859abd686131
16296,https://github.com/cran/uaparserjs,swh:1:snp:7eccc0e3b2ff0ea53f1ba4e5ac2f8e6a06cba83d
16319,https://github.com/cran/clifro,swh:1:snp:053c6153e39a34400e9a364aaabc09660ec3f9ea
16589,https://github.com/cran/RcmdrPlugin.NMBU,swh:1:snp:8560e55cd86c2525f3cae8dad2aff8b7861666c6
16590,https://github.com/cran/stR,swh:1:snp:0b0f3884fccf211e45c2002cb301df1e5b11cdd2
16683,https://github.com/cran/rtide,swh:1:snp:9a47af2f2fa32f26c22702370edca942c705c5a2
17060,https://github.com/cran/aSPU,swh:1:snp:e222f855e469f81f4203484d3066ef79a31331e1
17794,https://github.com/cran/cit,swh:1:snp:0fdb7af050931466d53a5da80d0c0e86f1f57a5f
17889,https://github.com/cran/otrimle,swh:1:snp:00104f661a0eec0fea48d61dfe6b6e36eeb97cb3
17997,https://github.com/cran/cdcfluview,swh:1:snp:f1ad4100a35195b19df0bf97d74bd6654db510fa
18182,https://github.com/cran/PopED,swh:1:snp:57b60bb435a4d7711c3e04c60c5ce82eb2d2dfd5
18933,https://github.com/cran/inferr,swh:1:snp:f9475a8521d5cde30ed02ada572680c1f0918b6d
18944,https://github.com/cran/s2dverification,swh:1:snp:c4d5caa8b518356b095c8768a7aadfe6c8da5a64
19104,https://github.com/cran/bgmm,swh:1:snp:731f6f2b6e65d9e321b380fa8415beff290f2660
19448,https://github.com/cran/patternize,swh:1:snp:17f2803a0058ef03fa1f9886a8451c676077ccb0
19513,https://github.com/cran/esc,swh:1:snp:5eaea01fbd2951abe00b9372140156a8788cbf30
19814,https://github.com/cran/coalescentMCMC,swh:1:snp:f18b752b8fad51c48dd7461dcbad392b43fb8b4f
20890,https://github.com/cran/sudoku,swh:1:snp:beea2a447fe31a1afedc8bdeae7ca4e0fa4deb18
21024,https://github.com/cran/biotools,swh:1:snp:b268938338890eea3a2fd73a90ebe4b62b879ffb
21115,https://github.com/cran/parallelMCMCcombine,swh:1:snp:f61f80ee5dc10b34d70d2c29c0e8b4d295d27b9e
21305,https://github.com/cran/icmm,swh:1:snp:172e4ce4079777c3b028fe084355823fa8e0c7ba
21949,https://github.com/cran/sensitivitymw,swh:1:snp:08fda9a7d3a08ea186c663a6c383d3db39e59aab
22966,https://github.com/cran/zoib,swh:1:snp:f499d48ed26085c2e0f23546d8a2e6f641a9ea95
23014,https://github.com/cran/mldr,swh:1:snp:c6b95b8bafa17d1cb16a1a99fab055c9df309682
24099,https://github.com/cran/wnominate,swh:1:snp:4cbec4fd2b50e6f369811eadace003637def5063
24390,https://github.com/cran/ROracle,swh:1:snp:916b48cd680fac735ca7659470ab4ef9697576ab
24423,https://github.com/cran/DoE.wrapper,swh:1:snp:d3dba561fb657a76bb4141c43a731bd5582f7968
25674,https://github.com/cran/psyphy,swh:1:snp:47d6bbc0a229086c9e485fe9fa0978d46b6bd828
25860,https://github.com/cran/analogue,swh:1:snp:f286e4a7f53cef37eef4f2d7714256da7e004f07
27783,https://github.com/cran/utiml,swh:1:snp:0ccd02b6a14abb0f755a20222a1eaaca18891123
28147,https://github.com/cran/jcp,swh:1:snp:ba7d74986fe5edd436eabfb2a280d8af9dffc023
30848,https://github.com/cran/rsdepth,swh:1:snp:959bb095fb51403921801410acc9fc10bda0d3a3
31515,https://github.com/cran/BayesPostEst,swh:1:snp:8a97f0bf6ab46d7a7df65675a0ebea38562c98f8
33028,https://github.com/cran/ggpcp,swh:1:snp:48ce46c9711a81ceb3c23adc8b0ce2edc40f1b7d
34899,https://github.com/cran/cstab,swh:1:snp:aa134ba770f0e90175c73e4d4cfb7f4c570f45cb
35220,https://github.com/cran/fairml,swh:1:snp:373aac7625ac790827d6ce1e38e24e85b1f5f643
35484,https://github.com/cran/ebreg,swh:1:snp:d0a99ae107815fd545b8f8a59f6bb6651a3f8da6
35799,https://github.com/cran/emdist,swh:1:snp:7780a25ae4917c6b19ab525c440f4266fefe3029
36344,https://github.com/cran/freqdom.fda,swh:1:snp:6eadf8c543e412bf2783091d592a1593cf97edd2
36458,https://github.com/cran/polyaAeppli,swh:1:snp:4c35f78bd3299519fc71230c82fff85befcb78ae
37733,https://github.com/cran/GGMncv,swh:1:snp:1a08e8075217d787cd962e4bc2288d1a36abbf03
37939,https://github.com/cran/ProbitSpatial,swh:1:snp:e6fba4c3fde85cba7de0e1a9210265568a6f100c
38233,https://github.com/cran/visae,swh:1:snp:ff51ea4ecedf9ce63f11101277882574017db6c2
38403,https://github.com/cran/vdar,swh:1:snp:ce153119b2af6fcaca36b0db258f1a28c5f52d98
38641,https://github.com/cran/FMM,swh:1:snp:36d778bc19ae07033e5dd84517a26c598c5276ad
39090,https://github.com/cran/aPCoA,swh:1:snp:11a6fbe13318bc39359b44cc7e735fd530876e29
39150,https://github.com/cran/HeckmanEM,swh:1:snp:9d21342f10bba5d19133c2e7205e12832b41b664
39917,https://github.com/cran/latentcor,swh:1:snp:bdd8a64b9c26fbec55bce9c41dd6865a6f50995a
39918,https://github.com/cran/mixedCCA,swh:1:snp:3169894a84a2b9b26d6cced6a2178a7af5f32169
40592,https://github.com/cran/perryExamples,swh:1:snp:b56653642f926a048afa77c59c1446a0951b3ce6
44971,https://github.com/cran/cropgrowdays,swh:1:snp:6219e296d2dda21d8436dca41701127cd3ea17be
44532,https://github.com/cran/Wcompo,swh:1:snp:f4c7e03e5b40280682c4a5adf6c21f2ca002f983
44385,https://github.com/cran/LSVAR,swh:1:snp:b79134ec0f62536739fb300bf6644c836c7fcfa2
44381,https://github.com/cran/tvem,swh:1:snp:7fe950c1101df9faed2c021a6dd0572aba810fee
44305,https://github.com/cran/spamtree,swh:1:snp:dca1beec59fbf798f8bd8c86a9f990575982932c
44264,https://github.com/cran/braggR,swh:1:snp:404cad3a8ab5c90b481a5c1b28959660970be42c
44224,https://github.com/cran/gamlss.lasso,swh:1:snp:c77031ede0e4969793e2bc3c3c01ff8ed97c95fb
44152,https://github.com/cran/msae,swh:1:snp:34339971d1d3e4ced7701a323ea5ac89562725b5
44151,https://github.com/cran/saeME,swh:1:snp:268c8a78cf9feea0f32ca747d435f838035c7911
43998,https://github.com/cran/rigr,swh:1:snp:6a88b61ef5d3f0873187cfe60a0a3bb9b9db4fcb
43870,https://github.com/cran/deeptrafo,swh:1:snp:6e6d25d7e4fa23d896dc2ec7c49d1148ba6903ae
43647,https://github.com/cran/hmmr,swh:1:snp:ec2fef4e2edbf0166dd887462136463c48836fb4
43546,https://github.com/cran/osrmr,swh:1:snp:53cd57409ef02d6b970316f21331d782815f500f
43236,https://github.com/cran/obsSens,swh:1:snp:398235fb8a33bc30f21ef159e4328380db480156
42858,https://github.com/cran/dsa,swh:1:snp:a73af4298944a408ab420dd7e6b57df6763ccabf
42802,https://github.com/cran/dtgiw,swh:1:snp:9bf4e4acb946300be74204dea5401979666a41ea
42775,https://github.com/cran/vccp,swh:1:snp:22d24f51a40d2abdd84479e8eaaa3fa63ece3a62
42770,https://github.com/cran/sparseGAM,swh:1:snp:2379d72c46e4d1b9770a2c06d96649d86703e14a
41897,https://github.com/cran/dampack,swh:1:snp:4d39c2cffc5195b50bd34f76b1039c8ae8991f75
41750,https://github.com/cran/uclust,swh:1:snp:cb878ed72d46da95eb7c1ffb218e2dc02168772c
41458,https://github.com/cran/mdgc,swh:1:snp:c88c8d73a67cd7ba391c5cf50e255eca35d5fdd1
41423,https://github.com/cran/nmaplateplot,swh:1:snp:fea3ffbebec5fd4a42bb6a9d663ba1775cd8c490
41416,https://github.com/cran/glogis,swh:1:snp:2a5f0dc06ef66747b74a6b93505f90a84e1dff99
40885,https://github.com/cran/bayesAB,swh:1:snp:2ab4c4139b454a1927be39a0e079bb44f816526f
40868,https://github.com/cran/sp23design,swh:1:snp:909e713ffff3823067199797b67e6d96d884d0eb
40859,https://github.com/cran/nimbleSMC,swh:1:snp:17c3de720c134858febe02c088b73e258eb598c1
45894,https://github.com/cran/simodels,swh:1:snp:8fdd31e8d47143b33ce31c73e497fdd8960f3239
45813,https://github.com/cran/occupancy,swh:1:snp:7f0bd71c4f30ecf4b1cc73864177de5e2ceeb67e
46371,https://github.com/cran/rmt,swh:1:snp:01bf3ccebbc134edab9f2034b282beae1e1454f9
46598,https://github.com/cran/TensorClustering,swh:1:snp:51f6af1d468594a905ed181951cbd30b51bb4a4e
45923,https://github.com/cran/ugomquantreg,swh:1:snp:fbe74a719bcd2479f550d93ef0b2395f0540f585
45552,https://github.com/cran/lmtp,swh:1:snp:5e3cf90772980e91ec5e42569053e78b32f1cde9
46852,https://github.com/cran/ampir,swh:1:snp:cd53f7deee234e91caf7307d613e0df296645987
46370,https://github.com/cran/SeqExpMatch,swh:1:snp:b1c374c940af08f9dc5ab0777353b4f9849211da
46546,https://github.com/cran/estimateW,swh:1:snp:9b112db08d96edbb4bd24ca8140fa7ed38398e44
46345,https://github.com/cran/demodelr,swh:1:snp:1426427fc58a1d0f42107ff97a76a53710678399
46411,https://github.com/cran/ssaBSS,swh:1:snp:2546602f1ab86137baafbde48b130c6c4953a634
45690,https://github.com/cran/CausalModels,swh:1:snp:792b1ec7ce339ced1d728427a2496333a4b690d0
46589,https://github.com/cran/safestats,swh:1:snp:ae05e368f46155b619a736cb42235fe467aaf184
6347,https://github.com/cran/SPOT,swh:1:snp:985fd85c95f80bb6c169d35e5b06a4225409b35c
7120,https://github.com/cran/pvclust,swh:1:snp:8c58f4c1718f3fa5cf1b5c07341b858c04178db2
7319,https://github.com/cran/lda,swh:1:snp:255bfa5d6a4b07f4ea788963a2bc0a18e8088d30
7436,https://github.com/cran/BCBCSF,swh:1:snp:bd61b6c355710dde816effb167edbecd3d5fdbba
7914,https://github.com/cran/MixSim,swh:1:snp:45f9c906b8fea3fdc73e1e7796af355a8f529214
7987,https://github.com/cran/spc,swh:1:snp:23075576d12adf3641607accce3e2d4149d55e5c
8162,https://github.com/cran/ghyp,swh:1:snp:8bee868f1583451bc9a7d3ed751f959354f18f64
8182,https://github.com/cran/SIS,swh:1:snp:b1625b801a9a994825531b2b72e9907b867fec84
8895,https://github.com/cran/ChainLadder,swh:1:snp:aba37a90e377a5c4545448c09acd6d2e2f6ef1df
10541,https://github.com/cran/SpatialNP,swh:1:snp:67e43d86a7e00a1ca2f218ae09e57346329183a0
10617,https://github.com/cran/RcppGSL,swh:1:snp:73d649a03a3ab148da87c65ba2401ce3ed4322ee
11067,https://github.com/cran/causaleffect,swh:1:snp:d77a060d14f6d985b355c6b743c947bd8093a751
11140,https://github.com/cran/superdiag,swh:1:snp:ab395fdb38ae7f76cee7326fdebaa86efa60e130
11930,https://github.com/cran/SamplingStrata,swh:1:snp:b724c3b41d35582f96d9b67afbd907211ce973ea
11934,https://github.com/cran/SamplingVarEst,swh:1:snp:87a564d04fa27379c80c382336121adbcbfc51eb
12257,https://github.com/cran/smacpod,swh:1:snp:f6396f136dac66def9c12ec9c20f0e1c20ab7e45
12265,https://github.com/cran/spate,swh:1:snp:4d730ec5c3fdf33bbd716f0e50ee5f9dedb438cc
12326,https://github.com/cran/TFMPvalue,swh:1:snp:0a4245191ba78e7ff1ae7664cc08020a25602cc8
12605,https://github.com/cran/tourr,swh:1:snp:5ddea4482956acb3db9811adad69b1c353046e6f
13363,https://github.com/cran/aplpack,swh:1:snp:729952f620bf17d7c2bc82bbb200a80cf2b516d8
13900,https://github.com/cran/TopKLists,swh:1:snp:679f1450badd60ef082081e1108cc15223cd8ca1
14243,https://github.com/cran/threeway,swh:1:snp:846ccba049bfb4e5c609442f996eb6a3ea811c11
14697,https://github.com/cran/vrtest,swh:1:snp:03a1e6f27b1372f879267dcc2b45733b0aa65ba6
15120,https://github.com/cran/rLakeAnalyzer,swh:1:snp:22bae99fa5450403311065c7d68f8bec7b634f74
15231,https://github.com/cran/QTLRel,swh:1:snp:dbd5dfb7289ef71f95f1708b8a2e436bf13ffde6
15309,https://github.com/cran/cgam,swh:1:snp:c58d9c547dacf58fc11c1257961bdb213662d345
15661,https://github.com/cran/synthACS,swh:1:snp:0e8b835c27133b57dfc8074b47d2fb0344ea6548
15795,https://github.com/cran/ald,swh:1:snp:8af1772d59764f0d8bfe1b45c10bfb5ea0cddc99
15933,https://github.com/cran/KrigInv,swh:1:snp:4fb83a0a2d8e77e6c41e970098d954f1a5db6609
16056,https://github.com/cran/GLDEX,swh:1:snp:09c0d6fb203752656f591b9107daa1dd55c99a05
16304,https://github.com/cran/dsm,swh:1:snp:03d1b56ce01e4b83dba50f3a8d8665e70dfbb694
16673,https://github.com/cran/stpm,swh:1:snp:cffae6749fdb8571390f06bb422c0b051ebb81e8
16694,https://github.com/cran/TreeBUGS,swh:1:snp:21063c18157be3a62a83847d53075b40ca03a401
17215,https://github.com/cran/rbi,swh:1:snp:7abc83fc55a9242341c5fd623eb2e2ee62d2b6ce
17405,https://github.com/cran/rmcfs,swh:1:snp:3dbfedba54697524a3f394b921abafcc328de79b
17406,https://github.com/cran/sns,swh:1:snp:218ce733af7de6247148caa3cf8c71ef1c66e614
18927,https://github.com/cran/pacotest,swh:1:snp:873ad2dc5a7fcf95d70d61eecfad8f9169ce6d1d
18936,https://github.com/cran/schoRsch,swh:1:snp:9852bf631fa28b90e14a5d939973264ceef8e6a1
19184,https://github.com/cran/syuzhet,swh:1:snp:fef95c450cd1d54052891940c0e66b9554afa738
19185,https://github.com/cran/queuecomputer,swh:1:snp:36751ec1eb7f8594e99b7a9c28f7f12cd9387839
19425,https://github.com/cran/geojsonR,swh:1:snp:329e4be19ef5d442cd6f1729814b1e05d1812343
19442,https://github.com/cran/ICEbox,swh:1:snp:8e7e38cb7030cc4d99c7324b73f2996394e163e8
19498,https://github.com/cran/sspse,swh:1:snp:edb73678d97c9ce69d209a6120c3759651fe953c
20070,https://github.com/cran/distcomp,swh:1:snp:4fcb588c4210c0cd1309055a5946181d479b1d22
20744,https://github.com/cran/changepoint.np,swh:1:snp:3103a8939bdff5ebe4aa2ba091aece26d5d8ece8
20810,https://github.com/cran/exams,swh:1:snp:25debf45872538ed4990496f1d646bfb2f33c575
21143,https://github.com/cran/ggRandomForests,swh:1:snp:af0c6bc9c9c0795a2bac047ec4f614b47231d881
21264,https://github.com/cran/NPCirc,swh:1:snp:a2e0f329b9e48969940e29f5dd4fb387de8e401d
21377,https://github.com/cran/ensembleBMA,swh:1:snp:b3012f476e3c7e44580edb9fb23e06bec7fce12c
21805,https://github.com/cran/rjmcmc,swh:1:snp:f40ce283ae608c2fb3a0f5b86d85392e8b76b162
23053,https://github.com/cran/npregfast,swh:1:snp:5698a32b71a33b4a087b6d2f92f601fadc8aad0d
23397,https://github.com/cran/streamMOA,swh:1:snp:4aacf1b81b58cba37cb81ce50cda854fc269c282
23409,https://github.com/cran/lmPerm,swh:1:snp:2cfc60b8cadddf8c43a07e77f55bd21dc1eca383
23491,https://github.com/cran/LS2W,swh:1:snp:f0390f0b551c01a73fd04aadc04a56d2f389f392
24038,https://github.com/cran/lfl,swh:1:snp:d17009ff40149ea180f99720a4bf5428d80bc23d
24113,https://github.com/cran/cem,swh:1:snp:664245f26091875f78bf89bc388fe7f1c256556c
24141,https://github.com/cran/EntropyEstimation,swh:1:snp:b240598b4256edbeb4c03c19c852f231f264e309
24151,https://github.com/cran/ibdreg,swh:1:snp:e5ddbfa4b3a080f0b0f86bd43e134547da5b26b2
24274,https://github.com/cran/qrLMM,swh:1:snp:23a67606080423f3639d3d3e20f31068cc965ea8
24295,https://github.com/cran/LogicReg,swh:1:snp:c1d0cbd785af6cf95a73a796f561d60fdd872a73
24496,https://github.com/cran/EMCluster,swh:1:snp:e2d5421e6448b2bb251ad5e5cfdbab9060b13f61
25144,https://github.com/cran/pcnetmeta,swh:1:snp:0236d0a0af5f7220b98e1a24c3c21b605c635e5d
25295,https://github.com/cran/PPforest,swh:1:snp:a8ce9e5a1ecdfa7e5b63337a4317bd89071267be
26179,https://github.com/cran/madness,swh:1:snp:914f2a770d5fd73e5d1ab3a49bcc6b23edfd3d0d
26699,https://github.com/cran/robcor,swh:1:snp:b74c4083f9793c1666e1acf1d7cbdf62c9b8c1e6
26851,https://github.com/cran/rmgarch,swh:1:snp:08e9048e7c79920dd783086466d3cfc1770d6df7
27090,https://github.com/cran/acs,swh:1:snp:0f17ff3c521dcb9839c3d2423482cecf3f0720a7
27509,https://github.com/cran/IsingSampler,swh:1:snp:52627c1e11a0c54c7f252005532c475e58b232da
27789,https://github.com/cran/RXshrink,swh:1:snp:9c2353a759f7823aa580cf48203b1ad75f0a4dc9
28714,https://github.com/cran/nsga2R,swh:1:snp:7b2ed96f8c8c0d1b7a8bf9fd80b1c34fb53ba28c
28918,https://github.com/cran/margins,swh:1:snp:41776f3bb6cc049ebfe7aafe5b99c3b7e8211fc4
29039,https://github.com/cran/hillR,swh:1:snp:9efa290871d3795b902dbae79379ef4fb3334e4c
29164,https://github.com/cran/topmodel,swh:1:snp:ca12966a2962c359bb356d227bfee978d34d4cc3
29747,https://github.com/cran/BSL,swh:1:snp:af62ae8a611e184788e4a5305c32989d17b09bd5
29978,https://github.com/cran/GLMsData,swh:1:snp:29ff0d385b86d8b69b647a4a3cdde59c3fa995ef
30485,https://github.com/cran/GEOmap,swh:1:snp:4d26c434e71350f15a00799b26c636ec2efccddf
30863,https://github.com/cran/womblR,swh:1:snp:62c851c8744b0f858d9d0aab31934a1fcdfa73cf
31263,https://github.com/cran/ccaPP,swh:1:snp:220e15a814052c784fc3a166b0a6d3a94c6e9b97
31574,https://github.com/cran/fPortfolio,swh:1:snp:fb8f26496a32fd8712361a20cbb325c0bfcffe01
32617,https://github.com/cran/HDCI,swh:1:snp:eb76b5572cfa2ac53ad7b9c54befb22b1d61788d
33202,https://github.com/cran/flexsurvcure,swh:1:snp:6ffb60e6cfff629c7ddb4ecea1c45877228137d7
33245,https://github.com/cran/mgm,swh:1:snp:4a2f6c4b726e36c2929ec4b6c7f9491ed74ef252
33250,https://github.com/cran/IsingFit,swh:1:snp:b39a397566ccaea74d293f7f79a9a05677a29565
33473,https://github.com/cran/RCAL,swh:1:snp:242a9dbf81bdff570566a26f0c9ab6c2e8a387b1
34828,https://github.com/cran/ttbary,swh:1:snp:80c6c5d2d6a9330eb0d82598318f6a129680c377
37119,https://github.com/cran/RcppDist,swh:1:snp:3454613dc63363d391c750f6dcf6167f1f892c50
37276,https://github.com/cran/deltaPlotR,swh:1:snp:3d5b041b9393355a107165007de2280cc5d38120
37337,https://github.com/cran/rdmulti,swh:1:snp:e367be64c347915160d32975acbb9e60bbc755f0
38303,https://github.com/cran/mosum,swh:1:snp:24d8897d79122579fd4138a168a5e98b7a5132ed
38415,https://github.com/cran/cheddar,swh:1:snp:8f8f412e0acb74e86980f63e2c7e254489039064
40184,https://github.com/cran/dosearch,swh:1:snp:ac53729ad7c30965f25334a14da8be64d184cfcf
40260,https://github.com/cran/mexhaz,swh:1:snp:22b3040da11a6cf5bcc16b957d3e3cd95e87d476
43402,https://github.com/cran/CINNA,swh:1:snp:cc4cc8e41eae0a93ee49078f960f3ecbcb97954e
43235,https://github.com/cran/sensemakr,swh:1:snp:47be071b9994d898863d05752280e077ebd6f12a
40938,https://github.com/cran/SpatialBSS,swh:1:snp:e28f21a90bc5e580dcf5bf89f632e8c5d32f46dd
40900,https://github.com/cran/srm,swh:1:snp:fc74ff77fbf8fdb14e07193288be95cf662b8ab3
40826,https://github.com/cran/lqr,swh:1:snp:9527571f469e3a8e5e0101ec36fae9da81d3fcf2
46083,https://github.com/cran/riskParityPortfolio,swh:1:snp:4ef4ccb37b8c938b1bf01f823b62f9306139a213
45587,https://github.com/cran/groupICA,swh:1:snp:ab2471e919e2caded11a84b2de7c1a0025d6c722
46543,https://github.com/cran/rcbsubset,swh:1:snp:770d9ff4878a1cf3818bd26d0eba64f7c8ba7869
4517,https://github.com/cran/multilevel,swh:1:snp:aa271d788894adfe7572b6519087e3ec0091d75e
8015,https://github.com/cran/BMA,swh:1:snp:05b5bb76a4ea9340fe8806fddcfbfe89ef0f7501
8177,https://github.com/cran/potts,swh:1:snp:53a03eb87c34c834a1f61b769677d5c048df0bb0
11038,https://github.com/cran/PairViz,swh:1:snp:03ccc39bd477f25a716ced15334efb91e6b529db
11358,https://github.com/cran/QRM,swh:1:snp:8d352f3b0fa10705f34e00031c72d53e1a9779d6
11359,https://github.com/cran/QuasiSeq,swh:1:snp:17af807f8c44ed2190fa8fc9ee0a76c674c00d46
11804,https://github.com/cran/robCompositions,swh:1:snp:a834597e990103ef657750d415704ddb66d22f69
11945,https://github.com/cran/sbgcop,swh:1:snp:ab9e581e8f1d062a002f86c7d86faf8af039dd3a
12271,https://github.com/cran/spcov,swh:1:snp:dba1f01666173157be45b1a5dbc70f1a9aa22417
14876,https://github.com/cran/assist,swh:1:snp:efbbad8da52741412f5dc933457774672de90b12
15073,https://github.com/cran/gllm,swh:1:snp:0262ce4c83fd101134c24b7712d17fc269077931
15279,https://github.com/cran/qrmtools,swh:1:snp:ba342da7fb135ae4a91b370c03b438f878928eee
15420,https://github.com/cran/VIGoR,swh:1:snp:3a74219ee01279d17b045004368b7154ce6f76d9
15455,https://github.com/cran/itsadug,swh:1:snp:858dc659eb33d6d0c8dab7b379ad347a5afc04c4
15498,https://github.com/cran/survRM2,swh:1:snp:d90db8bc397c9fa86db0d22231334a5abb748822
15706,https://github.com/cran/Bio3d,swh:1:snp:8977bc81c3c13cc56faec43607f2a15a0e2778d3
15760,https://github.com/cran/strvalidator,swh:1:snp:09eb34f993708b095b836b4ed4594d73ae89b795
16148,https://github.com/cran/bife,swh:1:snp:15739424cbd493593a2de67ba76c0f40e444484a
16210,https://github.com/cran/Selectiongain,swh:1:snp:31fb26f004b10517d9d2298312965e6310aa621c
16535,https://github.com/cran/ShapeSelectForest,swh:1:snp:2221cfb671d9b45d23084c67de43004f04068793
16665,https://github.com/cran/fslr,swh:1:snp:93da4367959a504090537b25e4e2f7fbb4ef890b
16684,https://github.com/cran/blocksdesign,swh:1:snp:cdda6cf500c3701ebf7520422617b0fdb701aa02
17416,https://github.com/cran/synthpop,swh:1:snp:b96929f2baa6a01e8657ee42acaf5916a5a35b03
17803,https://github.com/cran/OpenML,swh:1:snp:d3980a158f8f6e941567b0eed91bbaf3c6c684f9
17906,https://github.com/cran/SACCR,swh:1:snp:ac3205eaca40db6e2fd01ea128c57d5daa0b12ab
17927,https://github.com/cran/xVA,swh:1:snp:b1cf19e8c27649b76dd281f43e141a85009973c0
17934,https://github.com/cran/mipfp,swh:1:snp:08a8b9b13db42c1aace9b830c5e5b9722c115d3e
18475,https://github.com/cran/rMR,swh:1:snp:b396436aadfa74d886fc4cba5b847ad282f3912f
18694,https://github.com/cran/shotGroups,swh:1:snp:e02467ffb36b8e528fa1c230b2a718512159fc19
19199,https://github.com/cran/WhiteStripe,swh:1:snp:742294b887f7c8a22b79d72db9a24c428dca0fc4
19330,https://github.com/cran/Lahman,swh:1:snp:5c418346d0f8241b0c5a8cd97b7b19bbba72bc4a
19346,https://github.com/cran/fueleconomy,swh:1:snp:9746cfddea0d6689dc97c52d2c1bae74758dd907
19347,https://github.com/cran/nasaweather,swh:1:snp:731866a02592a87f3d89879b35e1035bca0f7eec
19353,https://github.com/cran/nycflights13,swh:1:snp:f08f1a732a1ff3be516961b82690d6a00789f4f7
20026,https://github.com/cran/equateIRT,swh:1:snp:2ab26b6cceb0ae0a40501098a6fc4cb211929ec3
20086,https://github.com/cran/kdevine,swh:1:snp:4ea295cb9e738810a7ef766465ac973f9428dfea
21255,https://github.com/cran/MCS,swh:1:snp:68b8d51810bba49562dd7ff4c395da2bd50eb5bd
21454,https://github.com/cran/RHRV,swh:1:snp:66a436862e35472aead035bdff25aefee136ab9c
21676,https://github.com/cran/momentuHMM,swh:1:snp:4c5b95c8be3e076f3c6d7b4cf5a66ece512972b1
22213,https://github.com/cran/iNEXT,swh:1:snp:61500862eeeaac28ef2e386f361f8dcafc7cc57e
22355,https://github.com/cran/smotefamily,swh:1:snp:91d2074d74980ed89db3b764069fc717650e62e8
22395,https://github.com/cran/breakfast,swh:1:snp:938d3c35ffd5f8f8f0d3e30b4f831fd935d7b515
23054,https://github.com/cran/sparseHessianFD,swh:1:snp:8eb108285689aac072cd4881d23514f305dd5aa6
23056,https://github.com/cran/sparseMVN,swh:1:snp:2184b9838e6cc5f11087146b4cef964c6383616c
23231,https://github.com/cran/repeated,swh:1:snp:9142de18b036efe3bad24395d094251df0b790dd
23546,https://github.com/cran/parma,swh:1:snp:9e0f6f43ea4e2686f7fb8c542bea627b5d344012
23879,https://github.com/cran/llama,swh:1:snp:accb98a3d0865b8308e4a9cf3a43717afbdd6ab3
24239,https://github.com/cran/spgwr,swh:1:snp:8f0523aaa1217a3da10ccb430af5cc5f94839390
24365,https://github.com/cran/cmm,swh:1:snp:72f4f13853fd3d5f69252df6a23f6c730da06b74
24537,https://github.com/cran/moult,swh:1:snp:390606e48952bd2db2fcd9884eef6585a079d62f
24551,https://github.com/cran/mefa,swh:1:snp:a6cb0abc05ebffc821925290b7dd0a56f9215448
24620,https://github.com/cran/RcmdrPlugin.survival,swh:1:snp:34db16401c0fd0c509ddef7e9be5c0ffdcb7aa1e
24767,https://github.com/cran/BSDA,swh:1:snp:c158f8baef9df58eea73b08e3ba4af26f5754a11
24883,https://github.com/cran/tkrplot,swh:1:snp:461171c86968390660fb3d8ec3e8bd71fc3fd892
25111,https://github.com/cran/simcausal,swh:1:snp:789f229d2a9c3e39ffad5befbe5342954a62b9c5
25118,https://github.com/cran/pgam,swh:1:snp:c700cf3eba4a839e6cd65852b61e1503ce973d3a
25146,https://github.com/cran/highfrequency,swh:1:snp:1f82f26a1f5c375a7d65dd84979e8b6d106beb5f
25885,https://github.com/cran/cusp,swh:1:snp:e3aeed336468254ff5cf883b495df3919f63e68c
26422,https://github.com/cran/CCP,swh:1:snp:2e2fe2ca0901638bf6e0a4e5613605d0f81d5350
27325,https://github.com/cran/RobustCalibration,swh:1:snp:03d40659d503670f6a266dc9d6224bbe673edc10
27747,https://github.com/cran/pvar,swh:1:snp:74cf935b78f5c5be5e154a1bd754fcf0c88bbf6d
28368,https://github.com/cran/tsmp,swh:1:snp:a58a4ff85dd244d1e13d4e47bfc56902a37337ba
28704,https://github.com/cran/arfima,swh:1:snp:deb97a8f03960e226b99edf70b2c9cfa2d1c8dc7
28707,https://github.com/cran/birk,swh:1:snp:8c919ae7aa5762472e42f026c67cf93c3d237353
28934,https://github.com/cran/ggvoronoi,swh:1:snp:b4b7777b3c029f2865801ef1cbe712104c650d2f
31325,https://github.com/cran/obliqueRSF,swh:1:snp:a0d8c6a6430dc482ef62972bc9073727fdb41b00
31659,https://github.com/cran/SALES,swh:1:snp:71bf3cb78ee85b36762dddfbfff8e78bfd41472e
32129,https://github.com/cran/SLHD,swh:1:snp:cc2dfd7e4677a6044d8ffaffe26796a7cc62ebb3
32172,https://github.com/cran/kmed,swh:1:snp:4de0316e25a85fa20f8e45b9270abedb1ce93edc
32621,https://github.com/cran/L1pack,swh:1:snp:43436b50d6a0ad30492e6bdd04a22a3c0dbed927
32640,https://github.com/cran/GoFKernel,swh:1:snp:1d620e67374fccb8775f42b9d351dc5984d56764
32647,https://github.com/cran/cvTools,swh:1:snp:d8e699ca456d307ed7292a51cf2776bcb92a5a06
33556,https://github.com/cran/mvinfluence,swh:1:snp:222738f153085e4e25d68a02b8146501f7e3feb4
33580,https://github.com/cran/discretization,swh:1:snp:54c368b047be05ff82aff3b29f9debe131b9e2eb
33821,https://github.com/cran/covatest,swh:1:snp:1f54effe3de6efd6f6961d1754e6890befb6d365
35204,https://github.com/cran/arulesCBA,swh:1:snp:52ba6871c3a7fc5c171f16c7cf84bcd17d2e3b16
35304,https://github.com/cran/iarm,swh:1:snp:3977759c1b593417808d76a244cc59a4d0754643
35307,https://github.com/cran/wpp2017,swh:1:snp:2fb52509372d113a7958429778fadc429e9e5b22
36416,https://github.com/cran/FDX,swh:1:snp:abca9a7192419d14b3b2c7ecfbc3ecd7aea244df
36699,https://github.com/cran/scico,swh:1:snp:600dbc9bb3ff140bfed23eae3ee3b06b52c07c68
36866,https://github.com/cran/bigmatch,swh:1:snp:2a88777ae1a29a9b73365e731fd5f381dffbecf1
37255,https://github.com/cran/LARF,swh:1:snp:87ab78cfda5e95885f069006bf61c5ed39d00511
37930,https://github.com/cran/survexp.fr,swh:1:snp:3456c3cc7fad4ddc6991c544c2e4362be7b20742
37951,https://github.com/cran/ropenblas,swh:1:snp:b223ea25356000c455fe3f35cf863568fb4ccd7b
38643,https://github.com/cran/cosinor2,swh:1:snp:ab92f083f341811268fbf5f7682acf0507a28d98
39959,https://github.com/cran/profileModel,swh:1:snp:8778a8f546f4eca5b5174926daf661ce7c4bf317
39968,https://github.com/cran/RANKS,swh:1:snp:48705f5afb0982f5b2075e914b696b05c0f5ebbe
40117,https://github.com/cran/riskyr,swh:1:snp:a27ba2dcfb6687878aa826c25c8581030209d37d
40510,https://github.com/cran/gsbm,swh:1:snp:1e3dbfcbc43e8212f2a1b14d9a70632f802a2602
44232,https://github.com/cran/spsur,swh:1:snp:455d5c1724befccb3e9cdcc8a2d56c9fd9b0a57b
43728,https://github.com/cran/pksensi,swh:1:snp:15c4fc6b83531dff2c3dc989dc42ac940188b304
43539,https://github.com/cran/clifford,swh:1:snp:98e32749d45889f6e02d7516d04408fb3b4c1081
43092,https://github.com/cran/icrf,swh:1:snp:f3c2e10a0725f28d87bc6308e565aec7b157d66e
42961,https://github.com/cran/TSHRC,swh:1:snp:199fc97ef38f4f68c27540f5884c9ce4c94f5f7d
42433,https://github.com/cran/GMDH2,swh:1:snp:eab631acdfa0204df3735e77c19dfe5e1def2a3e
41961,https://github.com/cran/tidync,swh:1:snp:da2478d7cc64a2ed12da1c623f3231dc8e63b7c3
40945,https://github.com/cran/mixR,swh:1:snp:cb78c8da84dd7999306f22ba71acbb8df794481d
40735,https://github.com/cran/morse,swh:1:snp:9715ca0a55cdf7c42ecfd13039065a88a273f6dd
40673,https://github.com/cran/hBayesDM,swh:1:snp:89290c653b7049527ea7f5308960beda6ad6cc8e
46629,https://github.com/cran/EFAutilities,swh:1:snp:b1ec225411d0ae4e1d19e2dd009ce14e939337e6
4546,https://github.com/cran/FSA,swh:1:snp:57c2e93cf3446983c4a6b56d4e9b8116a8a44907
7321,https://github.com/cran/wordcloud,swh:1:snp:db13d68b1c7732d5c5162d470034508939eab2e9
7415,https://github.com/cran/spikeSlabGAM,swh:1:snp:65f358ffd0dfef38dd1ff2aaa29b99eb4f38b07a
7945,https://github.com/cran/alphahull,swh:1:snp:5b7eb253e79eebdc34e85e0957ed504e1aba1481
7969,https://github.com/cran/randtoolbox,swh:1:snp:d0937d8a02d7ab50c048be015aca6f302beecf49
8020,https://github.com/cran/plm,swh:1:snp:492fed724b1b4e917829990d1295117055fcdb50
8165,https://github.com/cran/lars,swh:1:snp:b516bb1f31088193e37a73c399f732ea47662468
8167,https://github.com/cran/Rcplex,swh:1:snp:8311876587d88aabd1bb0d48a3c6d9bd0f332a2d
8259,https://github.com/cran/SuppDists,swh:1:snp:ce29b265a053861a2d925ed79620526bf8110c74
8302,https://github.com/cran/MCMCglmm,swh:1:snp:dd45441b7dac39b065e186e5960f68f8650c7133
8887,https://github.com/cran/clValid,swh:1:snp:eacbc72265b94537dd0524ba0280c2bf798b09e2
10489,https://github.com/cran/evir,swh:1:snp:2b7462323defc179e219b420e86ba5d3141b3065
10619,https://github.com/cran/rbenchmark,swh:1:snp:4a4d4bb3d311dec040e963179cabc708b49d4a1f
10688,https://github.com/cran/runjags,swh:1:snp:bc7a70385b5561449585bd84398203e543411ed0
11001,https://github.com/cran/apcluster,swh:1:snp:638c063907b74d3406fca49a5b4bccada63f853f
11085,https://github.com/cran/daewr,swh:1:snp:536ff12de0b847c46365db1264e076ff41a8fb5a
11189,https://github.com/cran/dichromat,swh:1:snp:b82d0b554f1566ab0c3b99a72ca02eb3002b72b1
11196,https://github.com/cran/gvlma,swh:1:snp:9c846f5bc1a4c2f43fb334c2348057f48ec60a39
11209,https://github.com/cran/ismev,swh:1:snp:cb20d114b2617cd8f105b0fbc9fc796a48645ba7
11731,https://github.com/cran/Crossover,swh:1:snp:dba6aa622bd47863f3c982d9178bfa0440985729
11939,https://github.com/cran/TeachingSampling,swh:1:snp:7b2171ef0b86119106c8f48c0d83c6c292352ca8
12194,https://github.com/cran/SixSigma,swh:1:snp:3f8f149da588e209af10c6bd5dbcff514912fbbc
12292,https://github.com/cran/reldist,swh:1:snp:7f88f3f5d2ec427b1fea133c822236f338333db4
12458,https://github.com/cran/zipfR,swh:1:snp:aa9d9bbdd15a6bc02c12b688b0539629e178c034
14555,https://github.com/cran/CAMAN,swh:1:snp:1221fc22edaa1e69c387ad08a29b26560eeded9f
14643,https://github.com/cran/aftgee,swh:1:snp:1928a6050259539d5ed2d85ea89dd6e9d441a4c2
14662,https://github.com/cran/KFAS,swh:1:snp:bbddefeff8bb4b164d999db970b3106088f0f31b
14695,https://github.com/cran/spcosa,swh:1:snp:b213638eca1959594398a6249bc3b1356aad072a
15282,https://github.com/cran/AdequacyModel,swh:1:snp:ed68942d43c41f24e4f7040730845733108b96a8
15753,https://github.com/cran/googleVis,swh:1:snp:ec693d351c00bf33006e9e7bfa59b4e5579b0de9
15874,https://github.com/cran/vtreat,swh:1:snp:38fdc9aa43139fbe11e292e26254101af4c2d1a4
15878,https://github.com/cran/OpenImageR,swh:1:snp:a13b72cd7710fefa5c18e49f83d1a2bb6f697de7
15892,https://github.com/cran/RcppCCTZ,swh:1:snp:5e6bb66b1e92b8880ca1861f73f1621f124b1b1f
15944,https://github.com/cran/ParamHelpers,swh:1:snp:bb7ca55295dad132e565cd0cef031fd450c66866
15982,https://github.com/cran/RLumShiny,swh:1:snp:a962984c466ceff54d91cc8005eab6d5ec0bc065
16289,https://github.com/cran/spbabel,swh:1:snp:393484c0a29eefd9523d447ef4be41f14b8ba848
16529,https://github.com/cran/maxLik,swh:1:snp:c9eeb1d95b3aa4a174cad54f67936cf75ed4b908
16587,https://github.com/cran/ndjson,swh:1:snp:6322c633ff347890d8a7e653f106a838ab2a0c55
17062,https://github.com/cran/GauPro,swh:1:snp:232b65c8009d472d99ba3e134956049785c94cf3
17086,https://github.com/cran/transport,swh:1:snp:2cd529f1d968776ffb29c2c97c6018e078054233
17534,https://github.com/cran/rplotengine,swh:1:snp:dd3073bcc031b70429fa101830f61209f6b8009f
17791,https://github.com/cran/RSocrata,swh:1:snp:1126b7b84ad4e6bcbefc1b01875490c0bc2c14e6
18931,https://github.com/cran/decoder,swh:1:snp:7d4766a8baf7c688da98211647e557ce7785f90e
19217,https://github.com/cran/smoof,swh:1:snp:8a7a4b2af293e51d53c27d7ce6f114cc7410097e
19769,https://github.com/cran/amap,swh:1:snp:71134bfaf0b75ba396676d6e1781febc5b5d6098
20803,https://github.com/cran/rARPACK,swh:1:snp:3bc3a3b108ded9fd63359c1168afa969f73832b7
21114,https://github.com/cran/gamlss.dist,swh:1:snp:2d673baf2615692b0fb1597f2fbcd6392ff09998
21250,https://github.com/cran/FastGP,swh:1:snp:6c763e40f78ad3f533646319d8b0c0b1c1b99ecf
21378,https://github.com/cran/verification,swh:1:snp:87ef1a949b716cb3688b15551a3ce802b9cccab6
23395,https://github.com/cran/streamR,swh:1:snp:110dbbfee652b7df6f8e4f22e5cdf315b0f87129
23495,https://github.com/cran/RMUTIL,swh:1:snp:696f8c192accdeceb0ba30ee397d3548eda17a77
23613,https://github.com/cran/bayesmix,swh:1:snp:a07c5752c71ee28ac3787136860edb325c1a8642
23857,https://github.com/cran/distillery,swh:1:snp:8795c662238d2458a3494cef562b9996912d8514
23859,https://github.com/cran/Lmoments,swh:1:snp:dfa87d564f8b50b1d5ad100a2ac6091ed958b3f9
24001,https://github.com/cran/distory,swh:1:snp:61a22457ac6051cae7624b697dbbe57875e7cd7d
24196,https://github.com/cran/genetics,swh:1:snp:f7565d6bb5c1fc94b499a9e625dccf392b1e9d34
24248,https://github.com/cran/ramps,swh:1:snp:f9d3d723d37adc8b8588fec7a28e39ec7beb2c1b
24286,https://github.com/cran/risksetROC,swh:1:snp:ccfa1d6665d937650a938b66ac42afa2e68aef38
24795,https://github.com/cran/exactRankTests,swh:1:snp:e8ad1897ed264f2a4b4b5b00695fbb7d32e60138
25147,https://github.com/cran/relations,swh:1:snp:a7cad6a1f2f1a435bbbe8ef4b241b6faf4a86871
25202,https://github.com/cran/ppcor,swh:1:snp:9ab6369dccf32133b4a85eb23dad0829ca24fe7b
25333,https://github.com/cran/DirichletReg,swh:1:snp:6640d77d0d0e05b3ecf70141dbf327e89d2075b9
25521,https://github.com/cran/emulator,swh:1:snp:d5c4e96dcf92ca665107f16c8af1ae33a8eb593b
26098,https://github.com/cran/smatr,swh:1:snp:ee6ab57f2efce67b6b84f3d36cb8d1e71fc3c0ee
26415,https://github.com/cran/lbfgs,swh:1:snp:b130463d4b45e16d0ae00ff11b900dd1b6ffff4a
26712,https://github.com/cran/treespace,swh:1:snp:3d3b56b4acf4f99c12da82ec949fd4f043be8a77
27361,https://github.com/cran/adehabitatHR,swh:1:snp:905b840e54da01c901933c4a42f8c38879c427ec
27362,https://github.com/cran/adehabitatHS,swh:1:snp:8c4f728e41f93fcd032cd52a5b3d36ca5bd7c942
27435,https://github.com/cran/regtools,swh:1:snp:86ee386d81c3d3b800c1daa10f1bf7a447b8fc94
29151,https://github.com/cran/princurve,swh:1:snp:30aea2c95785a58defc98df49e7f67698208ee5c
30899,https://github.com/cran/lime,swh:1:snp:2b7aa896824e9de8847f51940f8b2a6e771c0d33
31581,https://github.com/cran/rngWELL,swh:1:snp:9a8449ba6e291f4d74b4c65900a65f789b181e4e
31995,https://github.com/cran/ivmodel,swh:1:snp:9d9453763e20a243470be018c3e9a89aa6f95a4f
32020,https://github.com/cran/spFSR,swh:1:snp:0d7fed7b427f8c58abe0aa40c5eba846bc9f54af
34235,https://github.com/cran/blockCV,swh:1:snp:a460545bb8175adaee83ade66dc864586ef2fa7f
35700,https://github.com/cran/WeightIt,swh:1:snp:ed8140d8cfcf1e8f0c4f8f740eec1c200caa8def
36470,https://github.com/cran/lm.beta,swh:1:snp:5924e05767aa11b6f87d78b56002d903e6c527df
36981,https://github.com/cran/ssdtools,swh:1:snp:3f98f43164387428c81aa439c094ea9ebe601f63
37325,https://github.com/cran/crossdes,swh:1:snp:edace97dfc78c5ae3621bab9335b7bfb37841aef
39919,https://github.com/cran/SIHR,swh:1:snp:9a6fa61d5a9925f3233f8da1af20d1e1977af7bc
40180,https://github.com/cran/ISOweek,swh:1:snp:3d2b8f509f0d8a510cfc9f9cf9f8a5a514b1ec55
40219,https://github.com/cran/salso,swh:1:snp:00e63673674174c1f8540f37e92bcae867e4bc1e
40263,https://github.com/cran/cutpointr,swh:1:snp:59fa548f9fdef2e9cfbec66f8a33531d45433c4b
40477,https://github.com/cran/jsonvalidate,swh:1:snp:c3aeb8a5884a64f1a465771375393ff1df65a6c4
45062,https://github.com/cran/soiltestcorr,swh:1:snp:95648b3a0e4fbff408aed1ddcc2e680ea0183d57
44859,https://github.com/cran/gamlss.data,swh:1:snp:bdfcf434eac95ee45448fef0d2fbde0bf3011e50
44852,https://github.com/cran/CrossCarry,swh:1:snp:b92c61cb8cd3866addb14e36654191a6f0bac1a2
44851,https://github.com/cran/corpustools,swh:1:snp:a4dbaf732c3220e1ba66101419fbc2538e863d6b
44850,https://github.com/cran/text2sdg,swh:1:snp:f30b528f3f16bc7180428afb59d42b28b134d34a
43560,https://github.com/cran/umap,swh:1:snp:cd47ca5e252bbbbf91eb171b7fb2fa367091f90c
43541,https://github.com/cran/googleway,swh:1:snp:e0a1e242a6c3e24781d16b51c5017e0ae7aa02a7
43096,https://github.com/cran/tensorregress,swh:1:snp:b847d5fc1c048372013d2e59e6284428b6131dde
43095,https://github.com/cran/DDL,swh:1:snp:75437b1d3a10c69322baacf9cec93b311c3cf584
42779,https://github.com/cran/udpipe,swh:1:snp:6a69815588a1177dc0e38a30e04d6abc582fff61
42132,https://github.com/cran/concaveman,swh:1:snp:631087da33ea976dec35903b57878da63614fccc
41652,https://github.com/cran/ggstance,swh:1:snp:82cef9af5dda02786a426383410f00b8f5d455dc
41645,https://github.com/cran/TruncatedNormal,swh:1:snp:191714115f05b29b6bc871ed4ac4119d7d06f6a9
41183,https://github.com/cran/visxhclust,swh:1:snp:67d922ea3a79a1596c8def757d182fc7196f28aa
41031,https://github.com/cran/scModels,swh:1:snp:71aa7a1048a256887a7ca6e4730d9177c0e591ed
40734,https://github.com/cran/qqplotr,swh:1:snp:5de75b94ba4fe5bcd442fc47f7a0ac56448f753f
4547,https://github.com/cran/nFactors,swh:1:snp:788a101542b9bf7049cc9068e737c43bfa0ac40a
6786,https://github.com/cran/ConvergenceConcepts,swh:1:snp:a374230fc69c3e60145288c3ed0bfe5b205f3cfa
7113,https://github.com/cran/Rfit,swh:1:snp:1b3a3383978f20a4fa5dfa945580ea00ce94594c
7433,https://github.com/cran/gcmr,swh:1:snp:6a61e6cf77cffcbedd05c2d044e267f183334818
7981,https://github.com/cran/PGMM,swh:1:snp:3fe650a4361f5429d58c9fffdf619715be9d121b
8044,https://github.com/cran/FSelector,swh:1:snp:146f9996c898f91a2aff47e54851ae2e4cb0dd6d
8258,https://github.com/cran/sampleSelection,swh:1:snp:4fb314ad33004c9022e51d711178acbbb4e13177
9312,https://github.com/cran/BayesLogit,swh:1:snp:6352d7dbad12fda3bc24922fe472e9a2b35a2075
11021,https://github.com/cran/boussinesq,swh:1:snp:b6961abca782e0f188876c429bf74c860abbc723
11202,https://github.com/cran/hglasso,swh:1:snp:681f0fe36f1a10c5e53dbf144d144b13a4a5111d
11278,https://github.com/cran/cclust,swh:1:snp:0daa72b09f2c9c5963472812b8bbb81d3a79ae20
11336,https://github.com/cran/NSM3,swh:1:snp:627e8f8171d6ea0b93de2d0235dc0a5b6c925ce5
11348,https://github.com/cran/PASWR,swh:1:snp:9a22dfd6dd78da66030820199dda9d208e35a169
11628,https://github.com/cran/reportr,swh:1:snp:c75262f872f2726b2fddc504dfc64b7f66e7249e
14557,https://github.com/cran/contrast,swh:1:snp:6640d7f7dc932585249f4c9ea4b6d3d650a8da97
14581,https://github.com/cran/objectSignals,swh:1:snp:00032c5246b31ff51b06192eb9b4bb2915aa5fe5
14710,https://github.com/cran/SmoothHazard,swh:1:snp:684db3d20a352ba5b6489f397e0ade185135bbbd
14724,https://github.com/cran/glmmLasso,swh:1:snp:6a393ff2be3ab7a5f44a95bf2cbdba6c8673513c
14726,https://github.com/cran/GMMBoost,swh:1:snp:eb78980ae3eac5aac68af92a0e3b7adaae9c49df
15130,https://github.com/cran/qrNLMM,swh:1:snp:168ca22144c733fa192ef9bda53e93917a46279b
15308,https://github.com/cran/textmineR,swh:1:snp:3799bf3d360c69e6c99b273280161105be6b67c4
15369,https://github.com/cran/MXM,swh:1:snp:7590471ea7ed05944f39bf542c41a07dc831d34f
15635,https://github.com/cran/metansue,swh:1:snp:01c99a46935837446b4cbcd415c55309c7fb6f89
15754,https://github.com/cran/hkevp,swh:1:snp:87035466eb05ddc001ad767eef1e36c209d85fab
15797,https://github.com/cran/corr2D,swh:1:snp:8506d7340c2c862780e82d9373c9cc5717fce8ac
15943,https://github.com/cran/qcr,swh:1:snp:efb29a08cf45cccf0a85d1f5ab346d61218f84e7
15958,https://github.com/cran/MVar.pt,swh:1:snp:a9edfb289984c39b144fad4f17629d586ce7b5c0
16166,https://github.com/cran/moveHMM,swh:1:snp:44702472306c16c02aaeaf67ea4719d32ee1efa4
16320,https://github.com/cran/designmatch,swh:1:snp:1f5c886c4afac8df5c739000b3bb44e93c60e8ca
16423,https://github.com/cran/IHSEP,swh:1:snp:68eba7b0a6a613df861dd096d1786fb7d79aaa13
17068,https://github.com/cran/brainGraph,swh:1:snp:39ef36f9c8d26d02fc9be3c33ceca14741048f92
17082,https://github.com/cran/rgrass7,swh:1:snp:28e996c237c61b059c831ce51d1cc59b5b7d87fe
17095,https://github.com/cran/cmsaf,swh:1:snp:7d0855407f7072720fb8de625cc1e9d3f47684e4
17237,https://github.com/cran/mada,swh:1:snp:254f60480b662d4a45da31074e771fbcecd0cbc1
17522,https://github.com/cran/solvebio,swh:1:snp:4b33c89b7cafeca7929ee40a28a947b4253c7b1a
17529,https://github.com/cran/clustrd,swh:1:snp:8a2e230c401370e983b8cc252bd1964e770d3475
17757,https://github.com/cran/grpSLOPE,swh:1:snp:9ba2ff746df5bf4b97ff984d7149f03731862ddf
19180,https://github.com/cran/gitlabr,swh:1:snp:51357cc4c136b4d5125a1d39aec63ea62ef509d1
19272,https://github.com/cran/fdatest,swh:1:snp:1edd9c7545dc7ad25bfd5c2bce4e307b9bac5159
19445,https://github.com/cran/mma,swh:1:snp:4a079a55ac35e258acfa9017e95a3980415e89d7
19466,https://github.com/cran/coreNLP,swh:1:snp:89a02b47f0cbf6423b74970836cfa35f7436d45c
19509,https://github.com/cran/biglasso,swh:1:snp:412a503b996b9652857b362d87906a5d4be7b3b7
20073,https://github.com/cran/hommel,swh:1:snp:9f4f602af0a1462c4ec458fb8b94e35d2ca13c13
23203,https://github.com/cran/mcglm,swh:1:snp:035136778ab3e67146acea9aa66284a7f18d764a
23276,https://github.com/cran/tsintermittent,swh:1:snp:5dc495613d082e47276a6c92c082c86d913e5cb8
23402,https://github.com/cran/RMOA,swh:1:snp:eb1040ab84889e1afe3fd224498bbffb404feee6
23539,https://github.com/cran/popbio,swh:1:snp:83f4ece271fdf40ea6145d4ba9f1f67de4e0c984
23601,https://github.com/cran/SGL,swh:1:snp:10b18e8e28f4ce60b754b97d72221168d9eee8cc
23648,https://github.com/cran/face,swh:1:snp:32e8793405cfb2988e28d5c2cf83f4d8aa51bc3b
24185,https://github.com/cran/fRegression,swh:1:snp:437c9ff8554e20b1267e7a483f3b745b28d49ff4
24253,https://github.com/cran/SpatialTools,swh:1:snp:c9255299dfc8528698200b7e9850d6cbc8676e8f
24271,https://github.com/cran/x12,swh:1:snp:00052efa145ac909737fa68aaf3bfd7440a2d620
24563,https://github.com/cran/blm,swh:1:snp:e954d032591ec36381cdc19fbfbe259227871062
25025,https://github.com/cran/msda,swh:1:snp:107a239eb6d9a5fd7bded6dd9a17273e36b4adf9
25620,https://github.com/cran/MBSP,swh:1:snp:cda269f45f149f05dea2782b2034a71a0e8fcb85
25736,https://github.com/cran/powerpkg,swh:1:snp:de2f231668379c078463db50b99cb432e9cd1e08
26017,https://github.com/cran/vegclust,swh:1:snp:809eae01d4a4517487bbf588c8aa552d2cb86338
26197,https://github.com/cran/multiway,swh:1:snp:e3326bc34a72c7a74037c68b053428102fab5cf2
26201,https://github.com/cran/mallet,swh:1:snp:cb83690891e56686a11c1433f8cf2e282aa46556
26202,https://github.com/cran/ldatuning,swh:1:snp:720bc4a677b3345ad3653be5b70bcd21b371aa28
26336,https://github.com/cran/XR,swh:1:snp:f9a23d32d913d28e90d7807502c00175e3d11900
26710,https://github.com/cran/NetworkDistance,swh:1:snp:674e58e0b9001ee37a651f2ade7346af86c5b481
27363,https://github.com/cran/tripEstimation/,swh:1:snp:f683100743721a7770a80772a9a46e14b758a728
27694,https://github.com/cran/MAMS,swh:1:snp:8eef968cc859aec98bf6d72d6f9548a8db4a9c58
27698,https://github.com/cran/asd,swh:1:snp:6a8733a815ca87deb186809ac26a55f0b23dd31b
27800,https://github.com/cran/propagate,swh:1:snp:2fc215c529ed3c164639b515840e799e1b90e6ee
28208,https://github.com/cran/BNPmix,swh:1:snp:2581738c877983ce2b3492a28fa3b7563eeb1cfe
28275,https://github.com/cran/alpaca,swh:1:snp:29adab2ebc4903ee9347a4ebeedc2d2a0d11b0ff
30484,https://github.com/cran/locfdr,swh:1:snp:eeecb3ec6cfb61522073089cc690047f80df9438
30850,https://github.com/cran/stminsights,swh:1:snp:d8981b987440de5b4931028d2c82947c53b6a066
31377,https://github.com/cran/scar,swh:1:snp:1bf1f51bb9d775a1b8aa5bc5bcea9db778e76c2b
31563,https://github.com/cran/sure,swh:1:snp:5611395f7d527edec7b9e0ec9d0ac233abc7e89d
31612,https://github.com/cran/lightr,swh:1:snp:0a21e5e2a6e6cb01c92014ffc1b0606a0f8a4eff
31613,https://github.com/cran/pavo,swh:1:snp:8cc30915f416eec727a63488d221e8273cede7b4
32872,https://github.com/cran/SurvTrunc,swh:1:snp:bc0989dec908a6dc1a134ad42818e10e90248c14
33256,https://github.com/cran/textometry,swh:1:snp:f5276583839abd9e4110661c2147b80f0c732966
33833,https://github.com/cran/graphsim,swh:1:snp:3a2d827ac46f6e32e82d007ed28628d2c9da1b6a
33916,https://github.com/cran/LongCART,swh:1:snp:704a4698a501a3944b2d7f3bc0670ac0e0079d66
34038,https://github.com/cran/coalitions,swh:1:snp:e0a7e537cc230a1d5cae0ec08af5af797ad37e8a
34246,https://github.com/cran/HIMA,swh:1:snp:9b0a5d99ffd8ee58bb36886255a64e755d65af45
36091,https://github.com/cran/mmabig,swh:1:snp:de1ff848646588356b60618732f69d06cf55ac63
36739,https://github.com/cran/glmm,swh:1:snp:ddff187a9cd026019789b66d46ad286484f36d6c
37041,https://github.com/cran/funLBM,swh:1:snp:01bcd17efad806dca9cb7e55aad78b922dd81ce5
38251,https://github.com/cran/splithalf,swh:1:snp:e37ade35d0d6394625efcda27523c5934a44af46
38597,https://github.com/cran/metaplus,swh:1:snp:b89e51b742682fd21529ba4aec63d5576ad02805
38767,https://github.com/cran/varycoef,swh:1:snp:cdae10e4cd0e3bcc8a1217519adfd19379f4e77f
39392,https://github.com/cran/rare,swh:1:snp:ebf24ad0690d6a68decb51475bdd8cf4a9f660ac
40073,https://github.com/cran/nilde,swh:1:snp:e4c01b236b5dd100804c99e9d3a6e0d652b83b60
40185,https://github.com/cran/dynamichazard,swh:1:snp:3c4c7492d752a9c3adeeb01767b823892cdfb599
44782,https://github.com/cran/sitar,swh:1:snp:030745397bc4693579bc306876fcd4f848661129
44226,https://github.com/cran/Spbsampling,swh:1:snp:f3740f651d1984b76bbdfc341452390629732792
42522,https://github.com/cran/rebmix,swh:1:snp:6ac6ef4cead18e7056a458fc17908e444fb5ca3c
41776,https://github.com/cran/ptmixed,swh:1:snp:4d24f780ecd3601aa0611ab0c245716166d80af1
41737,https://github.com/cran/dobin,swh:1:snp:7c49deaa5131c70c3698732b66e66986718413c3
41482,https://github.com/cran/npreg,swh:1:snp:9794c915135beb2667cdead99618aaf882e79842
41419,https://github.com/cran/mHMMbayes,swh:1:snp:6f55c4b80b667b92e914f59a540602b63ab8c1b9
41293,https://github.com/cran/stableGR,swh:1:snp:20f02197080710a35514d6e3405edeec301d72d7
41087,https://github.com/cran/knockoff,swh:1:snp:11197846b9369786c65ab173ad54be05384ebfbc
46593,https://github.com/cran/dyads,swh:1:snp:d2138b33e28879aa9789b2db01450da6a9c92049
45575,https://github.com/cran/mlma,swh:1:snp:8005ee6a15e1ac32d685981d5eff2fa85516a4d5
7111,https://github.com/cran/yacca,swh:1:snp:58ba74e5dd755ec955c798d325516e2f1dc12ccb
8174,https://github.com/cran/relaimpo,swh:1:snp:05ddf78c432ba3a9422c42d701918d81c0632da5
10539,https://github.com/cran/SamplerCompare,swh:1:snp:a428addb371d32120a5aefbab275de18bd9f7964
10641,https://github.com/cran/sparseLDA,swh:1:snp:d7f1bd44805d3850bf2367d8502c29f2c15bcc39
11012,https://github.com/cran/Bchron,swh:1:snp:c5b21cbb838f13ae195af1e60b3825a56ddcde33
11244,https://github.com/cran/MPTinR,swh:1:snp:94e23ec1609a11bd475d08cdd72489375129d761
11273,https://github.com/cran/pglm,swh:1:snp:c8ac5e24041497551874ae831d2f01043e175b6d
13532,https://github.com/cran/pmml,swh:1:snp:a6b7e36ae5b72a8c17f7242986c5d88aad513491
15135,https://github.com/cran/GofKmt,swh:1:snp:ecbffa1d04e56afaf019f5b5e3f27f6e22d43e2f
15178,https://github.com/cran/topologyGSA,swh:1:snp:e6e3e4286159f16c615838679d414076bcb19d64
15183,https://github.com/cran/VarSelLCM,swh:1:snp:67cc564f85cd63d8e37a1eb79e196be243cfd8df
15400,https://github.com/cran/BoSSA,swh:1:snp:77dc34fa06bd84ba6b804700168b41a8286af42f
15405,https://github.com/cran/kfigr,swh:1:snp:e2ce933e6357496a6522284d0c8012e0cc8c4c0b
15425,https://github.com/cran/prais,swh:1:snp:c351aa9c9e0dcc0e923b80814f9ea4fb30d6b2ba
15608,https://github.com/cran/MixSIAR,swh:1:snp:2a0389076b4fc3fb319cae8f62191b1bcb075dad
15902,https://github.com/cran/minimaxdesign,swh:1:snp:3c4ed835ee3773850a708b2360cadcba2805f795
16010,https://github.com/cran/ICEinfer,swh:1:snp:ff5b753b2b57ba75c56e9059aeac96f9d1807c30
16150,https://github.com/cran/emIRT,swh:1:snp:d0b2ebe23959a8361f35cbc57dccaa4ca645b5fc
16271,https://github.com/cran/ICAOD,swh:1:snp:b1e25cdd85a821f3ad889fe429735962c1a94fe4
16377,https://github.com/cran/mplot,swh:1:snp:6d3b9f1ab7e5c86cbc81932f42a2ec2bf10493e0
16574,https://github.com/cran/algorithmia,swh:1:snp:f0e3b011878d30b899858d3cbaece77b24d30fe0
16760,https://github.com/cran/drgee,swh:1:snp:6db5cf8f5358704cf88ce39b5ddf3abe3927853e
17533,https://github.com/cran/PowerUpR,swh:1:snp:86f9b9210dbfa5645b5780c448c75d0e339e7749
17931,https://github.com/cran/deconvolveR,swh:1:snp:551dcf9a6850888748dbb736a7c77da098d5ac0e
18011,https://github.com/cran/bannerCommenter,swh:1:snp:7b49d0f28b4de56457834e0c13fb0faf5b108c42
18362,https://github.com/cran/HeritSeq,swh:1:snp:ee5bc1dd95d52cfbcc1698d1e3f44262996f9b97
18678,https://github.com/cran/matconv,swh:1:snp:72af58a29bec8dd494cf171c90cc9868de5c622b
18693,https://github.com/cran/RKEEL,swh:1:snp:bc056b1a1bfc3a6ff7c571dcab4adfbf57ee7814
19130,https://github.com/cran/superpc,swh:1:snp:7e6c9057f49aab3963995a0eb1def370b4a70635
19388,https://github.com/cran/iBATCGH,swh:1:snp:6a4b015ddb2547395d83cb11a922cf7d4efa771f
19405,https://github.com/cran/MSwM,swh:1:snp:93d32c945e23ad7f38ab2beb22bbf5da08da8a95
19429,https://github.com/cran/MBC,swh:1:snp:71a82317f5ad93552319ba63c869c9839c02e408
19447,https://github.com/cran/NetworkChange,swh:1:snp:9f8d58fcde151d6f82ae43c0191c1ac38bcc9266
19531,https://github.com/cran/RPtests,swh:1:snp:d3c60d50b9c0ef86144ff86f941051d79d13a7d1
20069,https://github.com/cran/assignPOP,swh:1:snp:ee9f1bd1620c45ff98bf10e7447a6d3597d9f3b8
20801,https://github.com/cran/lfda,swh:1:snp:adb8d969680c71a4f954da0e93253f3c9ea8a570
21013,https://github.com/cran/matlabr,swh:1:snp:68915ced211bb836516ff0e846867111718dc624
22171,https://github.com/cran/SimCorMultRes,swh:1:snp:723db813e3a2e5e04a95b13b41baef39e6c15306
22379,https://github.com/cran/tensorBSS,swh:1:snp:bafb41acdad89b11c2f33f4c307f64991bc39e9c
23496,https://github.com/cran/MaxPro,swh:1:snp:b87b72a213959a310bab8d4f8eecfeb516564010
23850,https://github.com/cran/bigGP,swh:1:snp:b116bd1611cdf303b2cbdc71e09388546b954b54
23861,https://github.com/cran/pcse,swh:1:snp:41e153fa3465d7eca7207a3f659ae63bfaad395e
24106,https://github.com/cran/Newdistns,swh:1:snp:da83083f12e81713e187d35d186db6834d180316
25136,https://github.com/cran/genSurv,swh:1:snp:fe469e78426c71eeedb096d893b534ca89946485
25407,https://github.com/cran/tailDepFun,swh:1:snp:9f490074ce7a5f6beba9ab9748d96cdf1d3e04f0
25748,https://github.com/cran/AFM,swh:1:snp:a01d77751de195ca8a701cdf44ee3134ebaa00b4
25834,https://github.com/cran/elrm,swh:1:snp:8155d5f6635870a53096aaefe382eec74c309f13
27218,https://github.com/cran/flan,swh:1:snp:6c7aa8d5bc4f2bcf63aacd2f72e6d5e709b8db1a
30773,https://github.com/cran/bayesGARCH,swh:1:snp:2d25d581f9f8f1e0729856e1ad5fdf783cac825c
31418,https://github.com/cran/spreadr,swh:1:snp:ebed67128d00708f70a813e64b437d563ad15b38
31562,https://github.com/cran/sparsepca,swh:1:snp:502c2356108be85f07a45ed7de0e69076229f653
32023,https://github.com/cran/GenAlgo,swh:1:snp:908bea40927100b6d5e6aad50b0ee1e6e85dd112
32859,https://github.com/cran/rsyslog,swh:1:snp:3566389227b49996a2d1c293d4e0c9d78738752c
32866,https://github.com/cran/OneR,swh:1:snp:739bda58b0f3f15e4096de79b5348cca09a027f0
33924,https://github.com/cran/CatReg,swh:1:snp:ffe5636af623035da4c8e8b1091479893ccf6a2d
33942,https://github.com/cran/rTorch,swh:1:snp:f623127208cc338ca0fcdb60b53c5c5e9b1bcf3c
34796,https://github.com/cran/psychonetrics,swh:1:snp:dc6748db30c1336c900e118362675a3c756b4ff9
34909,https://github.com/cran/diproperm,swh:1:snp:ed6e87616d680c40b2022d398c35656929a2b7f8
34910,https://github.com/cran/DWDLargeR,swh:1:snp:f201f8250857dd217ed6684ec7309d71273251bd
34942,https://github.com/cran/MBBEFD,swh:1:snp:c3e081c844087127d11be4120ad0bb42b6edd778
35215,https://github.com/cran/corrgrapher,swh:1:snp:7db105a20874eb1d0ed94b3b25a00947b1b15661
35502,https://github.com/cran/Bioassays,swh:1:snp:b3e45cdeb5dddc22d5065f542c543e64c3e0f117
35680,https://github.com/cran/nlnet,swh:1:snp:62fd7f7bd0ecd14b5209a104f1f48eaeb117aeef
36700,https://github.com/cran/pals,swh:1:snp:e5ab9d40452cc9f4c2549b8a9faba2bed9f6cd7b
37854,https://github.com/cran/irrCAC,swh:1:snp:5b825d0c4c303b9b8d0dd8a4a0baf2156e8afd86
38234,https://github.com/cran/CauchyCP,swh:1:snp:7ee81d2da438642c316c4da9b505eaef2ce87050
39430,https://github.com/cran/bikm1,swh:1:snp:ee8ea52f2e597cc677ab11431839f8d2c92f75e8
39771,https://github.com/cran/mcboost,swh:1:snp:d4d7e4fc1e4e073333e1ab1205a748e8ce366c28
39961,https://github.com/cran/tfplot,swh:1:snp:e72dee26262ebf703d8c974403e141e30ca9e1c4
40189,https://github.com/cran/YPmodel,swh:1:snp:456313ae6585cb75ff651bb45d3a7bd28d4ec5a7
40220,https://github.com/cran/MortCast,swh:1:snp:ceb7b78d4c6845903736c17f47b866a6e9c672d0
40284,https://github.com/cran/SIDES,swh:1:snp:492704dd665ef69639bc83152c4d89a6218ce2cd
44866,https://github.com/cran/mlmts,swh:1:snp:6db845940c8184bf477e0447ac05193c3a2766bb
44780,https://github.com/cran/nplr,swh:1:snp:4549ed6b190e4c4f83a62f1b0fb6f743644a736c
44536,https://github.com/cran/cats,swh:1:snp:eaf682835c068dac254cfadcc60e35ab85257654
44240,https://github.com/cran/ag5Tools,swh:1:snp:1b5025055043c7061eeb9df68ea8b6833076d5f5
44065,https://github.com/cran/QF,swh:1:snp:d657d7b8e2ed2a31eb7d3036a83293f18c6e8ea2
43810,https://github.com/cran/cvms,swh:1:snp:a5da9b033ba1f1941e3a46f3e38dab791eac3340
43772,https://github.com/cran/takos,swh:1:snp:4218739fd02fbb99a0a7b155b8c1c12a36905da3
43132,https://github.com/cran/tsna,swh:1:snp:be958889425482c733cfa5f542f3b27c12ee2ebb
43109,https://github.com/cran/goldfish,swh:1:snp:c0db3f998fb81537d88b05d0a4153241d0a1cb6b
43093,https://github.com/cran/Qapprox,swh:1:snp:3632d224f3d2b497b724001b60156f9a3de4d1c8
42998,https://github.com/cran/nberwp,swh:1:snp:f5168069d74583db23c04135f85758719fb295b4
42829,https://github.com/cran/MNLpred,swh:1:snp:6a628a857313dd3290b15181f75cd2d33edad662
42797,https://github.com/cran/LBPG,swh:1:snp:ebda0c3100686452aecf1e346f7453f610dfe676
42638,https://github.com/cran/SenTinMixt,swh:1:snp:34992f13e491cf4c2427c78e3b0bafc1c502623d
42298,https://github.com/cran/BetterReg,swh:1:snp:6024a73f74890dc173db67aa2a6020f7aeeaaf2f
42048,https://github.com/cran/bccp,swh:1:snp:595b03fc436305b92ff1286ade0131de2895f795
41962,https://github.com/cran/AZIAD,swh:1:snp:550118be123456a4559f198632da1c7c1890fb49
41956,https://github.com/cran/bmixture,swh:1:snp:4ee817d58f7dbd1f59a6f47ebef0a1e1c15df461
41085,https://github.com/cran/fastOnlineCpt,swh:1:snp:eef8c4baa547a6c91f004793d97b1518c5d3bd6d
40913,https://github.com/cran/nmaINLA,swh:1:snp:e5805c4b4a3700c5f1bc1066a728d7860d90d680
40887,https://github.com/cran/penfa,swh:1:snp:69181e29e5e62ac2dcd5ab6226dbf06c116d62c9
46137,https://github.com/cran/varTestnlme,swh:1:snp:46b41a8a829ee3d0658d81b42d45c03478b86aa3
45809,https://github.com/cran/SPlit,swh:1:snp:84b6d4c3a4a5074c097ed38cf50d3953a8fa850d
46068,https://github.com/cran/MatrixMixtures,swh:1:snp:daa7b7a58b578219802432653b4c7984eecee0de
45743,https://github.com/cran/NFLSimulatoR,swh:1:snp:d697cac101eea4e51af66ca8219faf265fa35d56
46098,https://github.com/cran/LIC,swh:1:snp:c1c7f455c296f039cbf2ac7b9f6cd3fd14b782ae
45647,https://github.com/cran/rfvimptest,swh:1:snp:ebda1ae9b0ee1241c61c67f056899645f892767d
46016,https://github.com/cran/growthcurver,swh:1:snp:4d7851d7fec810a34f6093e59c0da4bd7c702bf9
40867,https://github.com/cran/ph2bye,swh:1:snp:627c7bb8c3cc00dbb4b5a1469a61b439863d5682
7333,https://github.com/cran/outliers,swh:1:snp:d2c6c6783cc7bee5bfa0e57e46a2c6dd0d25b947
8193,https://github.com/cran/grplasso,swh:1:snp:0822d6ed4565d5a5369725b6c26d0994fdea11c7
8658,https://github.com/cran/qpcR,swh:1:snp:0a4a17f9c48b6ee0acba9e9efd224b4cf9bcde79
10196,https://github.com/cran/rbmn,swh:1:snp:d507567baed77a3654b9468543e22451e2e038e1
10494,https://github.com/cran/JM,swh:1:snp:f215e9aee1d14bf12a237f15f6fec80a96f8733c
11129,https://github.com/cran/funFEM,swh:1:snp:b6a99cdf1bee6337b186a89bc11b405c6378fcb2
11210,https://github.com/cran/itsmr,swh:1:snp:8ab0725aa5dbe40e6451fba80be1077aa92949f9
11271,https://github.com/cran/mhurdle,swh:1:snp:b7d5de0e8fbf68c64db18184fb9e453bf84f8ec7
11274,https://github.com/cran/censReg,swh:1:snp:b0b5c5fde5279aa5ce810b626e7d3e8056e9ca91
11593,https://github.com/cran/qcc,swh:1:snp:e2bd7f651d4e698f1d5c74190f097a25a324565c
11928,https://github.com/cran/Stratification,swh:1:snp:bf0f788326b660d5c2c9b1311c5569915c03ba05
11941,https://github.com/cran/SDaA,swh:1:snp:8ea39fc3a9979e7ee71acf48957420962feea8ca
12149,https://github.com/cran/sensitivitymv,swh:1:snp:a0166d42c090e3c48e9fbb893fa98321509f0211
12199,https://github.com/cran/plan,swh:1:snp:5ba2e21c768c322f689a57e1cc287a9a88df0c1e
12207,https://github.com/cran/SiZer,swh:1:snp:8448d5deefd6c36c0836051062f183bd1411ae33
14696,https://github.com/cran/bcp,swh:1:snp:bd54ef317685402611d6d2824ce2cc5d853f6c6e
14827,https://github.com/cran/Libra,swh:1:snp:e738251f9485d99d1bda42ece51100f55d8fb8b9
15343,https://github.com/cran/KMsurv,swh:1:snp:a693e7f8aafcf1eb3dec90d03ddb34d8d396b46c
15383,https://github.com/cran/FBFsearch,swh:1:snp:01580dbd147f99c71e86c043bed785ecdcbc1954
15898,https://github.com/cran/mvdalab,swh:1:snp:d9ebb55f5ab5cd6bb9ebce9bade38f9fd1cf79a9
15929,https://github.com/cran/Bhat,swh:1:snp:c1f27d30235b41043d364bdb77a503503e7f4374
16140,https://github.com/cran/shazam,swh:1:snp:2197101b1ff7e8161df1a79c64ec4c2f93c1d622
16157,https://github.com/cran/BSSasymp,swh:1:snp:410641de7087e8cbc7b8b0f1da54be2312dfa22c
16517,https://github.com/cran/glamlasso,swh:1:snp:a24883ae6f5a470be5f3ca3e12ba38e646ae8737
16727,https://github.com/cran/geoBayes,swh:1:snp:22cdd78a03a178e3ee61b8a5ea2cbe3bff1cc64a
16857,https://github.com/cran/Exactcidiff,swh:1:snp:6beb80284d1c507695642dfc86816d53c7999a40
16976,https://github.com/cran/irtrees,swh:1:snp:e7e484e0f14dec04a1fac4c4419192e704310fb2
17219,https://github.com/cran/vdg,swh:1:snp:9e0ea0632637f12fa507eba3d083d9dacc0c0668
17394,https://github.com/cran/ShapePattern,swh:1:snp:976fba2c343705d178e42cc73206f92104c1e83a
17766,https://github.com/cran/hyperSpec,swh:1:snp:02c327c0ea66014936de3af2cb188e9e30a4e6f7
17864,https://github.com/cran/cccd,swh:1:snp:17f48528697bd83274b5a7518c1ad123c8350bcd
18153,https://github.com/cran/mregions,swh:1:snp:26ac11bcd6496eb5b1f7bce2c83a7e32454f7be8
18464,https://github.com/cran/waffle,swh:1:snp:210eeaf5962971623d80307c5fdb1f65a202a470
18473,https://github.com/cran/ltxsparklines,swh:1:snp:a7e88b1c7aa19c90e72447a2451d666ff322dd7a
18474,https://github.com/cran/MixGHD,swh:1:snp:1d88b7a2236e2767b21d807289d8c75f2613a2c5
18481,https://github.com/cran/BIOMASS,swh:1:snp:8037c9aaf47bfb7d6cba49be3382bab478c6c329
18677,https://github.com/cran/utility,swh:1:snp:76d5bdb301751de962cd8261ce11d05d9f521e56
18819,https://github.com/cran/LncFinder,swh:1:snp:6242105b38481d1400be25baf17e053ae41d1fc4
18935,https://github.com/cran/rdnb,swh:1:snp:7f530d1bee12f3c0c9aca7cc72646e6720b7c65f
19430,https://github.com/cran/RadOnc,swh:1:snp:04e0688152207914874aa05f7751272935e31339
19438,https://github.com/cran/Rd2roxygen,swh:1:snp:bcf3dc9cfd75a569e4b187000a3cd7b3339b1372
19673,https://github.com/cran/ompr,swh:1:snp:48059d2127e04fd689a86542da4adf260de78315
20406,https://github.com/cran/picasso,swh:1:snp:b3df1f2c4ec493df956bd61d93a0bc91ea14c76f
21014,https://github.com/cran/ContaminatedMixt,swh:1:snp:137edd0a9088cc933173cb36d2a6b03113345cfb
21017,https://github.com/cran/CopulaREMADA,swh:1:snp:1d65cac1c329c311f1133422b3f0748f618c85e6
21074,https://github.com/cran/gwrr,swh:1:snp:c97b0a405bb7dfd477dc2c33e3889c2e5674b74d
21308,https://github.com/cran/abcrf,swh:1:snp:cadb3ad9e068865581978f117c61d2d9d3d81ddb
21607,https://github.com/cran/far,swh:1:snp:e33d18942629f713d5156c403203743e5e88afd3
22387,https://github.com/cran/geozoo,swh:1:snp:48c804cfd8ea9692379ec310dab7654dd3e8e3d1
22736,https://github.com/cran/nparLD,swh:1:snp:e77c935b91f558a89d5f23c88da9dd796be43a0e
23112,https://github.com/cran/RSGHB,swh:1:snp:fedd1a6148223895436b6b02bd72cb4b8fc63b9a
23406,https://github.com/cran/fICA,swh:1:snp:268ccdee37634c5a5282bde122271ee64686db66
23656,https://github.com/cran/dclone,swh:1:snp:a91c344ed1c257ebdddfbd312802bdda4992f256
24091,https://github.com/cran/simsalapar,swh:1:snp:23f801585af3d2649d235ef1a34ca729d1c3e0e2
24117,https://github.com/cran/BMS,swh:1:snp:18456847765cd3b9f49b1b43860f5a0c7d648b04
24140,https://github.com/cran/entropart,swh:1:snp:c0eddf91e5408ee010956eb07590ad2da1e6b30a
24422,https://github.com/cran/FrF2,swh:1:snp:90f328ba68058771ec628ff661d297e96304afb7
24467,https://github.com/cran/biganalytics,swh:1:snp:46e15542b993f91b98886cde25bfb2a0a3d5d100
24469,https://github.com/cran/bigtabulate,swh:1:snp:a1cf0b64347ae4fa1ff979853ab6a6e228ff6352
24599,https://github.com/cran/hwriter,swh:1:snp:d283bda4ea5ca605e0bc03ca977e9ca9b14ebe6c
24679,https://github.com/cran/VPdtw,swh:1:snp:97f70341fd18424ce948b9986ce0a4114915c404
25119,https://github.com/cran/aods3,swh:1:snp:404285753be6d7dcb7b075f0f04eaee48f1cbaac
25120,https://github.com/cran/nopp,swh:1:snp:ba9a146269ea6fc074462eaf6b424bd2d8b3b3e3
25179,https://github.com/cran/YieldCurve,swh:1:snp:a8fd4f7577a46bac2303f307e3b49c388989c511
25516,https://github.com/cran/fUnitRoots,swh:1:snp:4b518d100321ebb8e29db413da85ea0497812932
25586,https://github.com/cran/skewt,swh:1:snp:2c8408aefd07dbdd6726ff867a8958694d8164ea
25832,https://github.com/cran/ExceedanceTools,swh:1:snp:0a57c426ee1ec4278f14aefe407873fc24a4f167
26781,https://github.com/cran/FAR,swh:1:snp:e33d18942629f713d5156c403203743e5e88afd3
27015,https://github.com/cran/modQR,swh:1:snp:3cfe6e8ad827d3d363a4874dac2fe99461eb624a
27018,https://github.com/cran/graphkernels,swh:1:snp:9f1f61671503218998a40c83e9aedcf58dc759e3
27189,https://github.com/cran/ManifoldOptim,swh:1:snp:4b766788d6d2d9ecabb39a9f2492de7ba2aca759
27367,https://github.com/cran/TrackReconstruction,swh:1:snp:267d57ddc9f1367391789592ed078238f8d82019
27385,https://github.com/cran/wildlifeDI,swh:1:snp:7cad67807917991e1fb90d39260fccc3a968ada3
27460,https://github.com/cran/kmodR,swh:1:snp:9a3f4666e8d8153ee51571ebb14fd5680bc6e11e
27752,https://github.com/cran/batchmeans,swh:1:snp:2e3ef2677f2874418184ddeabf062287834afe3d
28206,https://github.com/cran/brunnermunzel,swh:1:snp:17466edea486776d1230eddb543d738513784f1a
29200,https://github.com/cran/idm,swh:1:snp:fdab888e41b30a6c115e965b5e124a4e7eca785f
30133,https://github.com/cran/poisDoubleSamp,swh:1:snp:62efad9fc7297e64afbda7c450acacd4b5dbc88c
31425,https://github.com/cran/GPLTR,swh:1:snp:2372cf2d47a766a577a62b8a10bf20e12f248948
31454,https://github.com/cran/sparsevar,swh:1:snp:f266dfe0e5fd7bd92635b6b89c4d50f379487b2a
31552,https://github.com/cran/PROreg,swh:1:snp:9efcebf82834894391eb67104686ab81be896fe3
32406,https://github.com/cran/multigraph,swh:1:snp:5ca06f1eee93009e7e8e40f91b9c98d16182d4b1
32645,https://github.com/cran/AUC,swh:1:snp:9a680f2e05fe109fd8e5da29c4d62a8e39c18ee1
33013,https://github.com/cran/dimRed,swh:1:snp:4e3ccdc3381dbde7af327944193675b53460e380
33905,https://github.com/cran/NPBayesImputeCat,swh:1:snp:0a7bb36a5eb0ca56ae516a558077611576e57d00
34004,https://github.com/cran/ldaPrototype,swh:1:snp:3fa0cbb4fda3e5e306c1108759e67f26a9eaf588
34005,https://github.com/cran/tosca,swh:1:snp:ff9b00f42ec8616d6621a55758ff6acbe0a0e1eb
35078,https://github.com/cran/roptim,swh:1:snp:a71ba1d26bb093711548c9716b1edab923052181
35669,https://github.com/cran/DiPs,swh:1:snp:515be591709a6dddcd91d9f2b96d99c7262e17c2
35983,https://github.com/cran/swCRTdesign,swh:1:snp:a7117bad082fbd45d1301069de7411310b857b50
37328,https://github.com/cran/mvtsplot,swh:1:snp:b812fd89fca550da7218098480176b9da5002b75
38757,https://github.com/cran/RcppXsimd,swh:1:snp:bf15ab73b19f7bad29e56d868e45f1c6280a9e15
44625,https://github.com/cran/EZtune,swh:1:snp:c60de4b0f6a1e421d07e1dd3840027ed9e0fee7c
44291,https://github.com/cran/inspectdf,swh:1:snp:2d5b65432f6897803785d545f484d646b8a5608d
43863,https://github.com/cran/Markovchart,swh:1:snp:c38ad5c8c879dc2123d5bea20ec69c301125facf
43258,https://github.com/cran/chipPCR,swh:1:snp:d6d9914814a1248dc562986abc00085d3c1313d0
43257,https://github.com/cran/MBmca,swh:1:snp:4971768ca42846b3239685c45dd052b3e9e41b8a
41113,https://github.com/cran/FuzzyR,swh:1:snp:dd8d8238cbe7db6af4d642e811bcd9a8b00a5cb5
41048,https://github.com/cran/SPSL,swh:1:snp:38ba17254c37c455a6507f853f169cda19093b79
46018,https://github.com/cran/growthrates,swh:1:snp:02d31fbdd8d0f2340db6bcefd2a3796429886585
6064,https://github.com/cran/mixsmsn,swh:1:snp:77aafdadacc46c860b17b1495ee2738b3e7e9ff7
8232,https://github.com/cran/ade4TkGUI,swh:1:snp:e0a561db42a6e664943824d2164e3b465747650a
11019,https://github.com/cran/Bolstad,swh:1:snp:b4cb3d49c8edca8ebcc51fe89539a3d144e8de32
11106,https://github.com/cran/EFDR,swh:1:snp:136833c221276963ed386f9b845fdb4b2c6defc9
12197,https://github.com/cran/monmlp,swh:1:snp:4d11546e87ce1bf9f9c731347fca812a4fd56899
12240,https://github.com/cran/WWGbook,swh:1:snp:debe9b238ad5705c7f173dc13096c8a4892c4fdc
14530,https://github.com/cran/localgauss,swh:1:snp:2c78c281e8b9e2a2aa9efba3cd4283865b5cadfc
15123,https://github.com/cran/vardpoor,swh:1:snp:66fa25c8ba220d973d220b066f21681f7c3c9af7
15132,https://github.com/cran/multiwayvcov,swh:1:snp:1274da2ca38e5a824319fbdc0e912eaaf4069aa5
15281,https://github.com/cran/asnipe,swh:1:snp:9c86882a0e3f84a0492c6ce3d14356dd3eee8f9d
15454,https://github.com/cran/gofCopula,swh:1:snp:70261211dc9def6fb5621f1ab49bebdb55cd40a4
15582,https://github.com/cran/gambin,swh:1:snp:145552192e31d5399bfa77eb4f5f78d379462502
15584,https://github.com/cran/manifestoR,swh:1:snp:eb2a25d846be1986414d7e92ee88e0b494ca0465
15815,https://github.com/cran/discSurv,swh:1:snp:06285d35fb7bb90d3e84dc83b36eb90b8464f655
15953,https://github.com/cran/sensiPhy,swh:1:snp:7e9b274fea6b3cacf1bfcdc8e350c32755039a92
16088,https://github.com/cran/EmiStatR,swh:1:snp:90e991b998bb100b8344447399d6bb952380cfad
16092,https://github.com/cran/rbgm,swh:1:snp:540680c67ba9a83a76e5bd8c71d6ec6a9c951b3c
16521,https://github.com/cran/funreg,swh:1:snp:da98ea40536a9f5cac11d7b6ad470db541c66e25
16827,https://github.com/cran/mcprofile,swh:1:snp:47a46f73b32d9f7c14bfc2f4c06122446c328a3d
17774,https://github.com/cran/spark.sas7bdat,swh:1:snp:1f6ebf2410e45cb1d140db131d2a00754ea1c2e4
17890,https://github.com/cran/ramcmc,swh:1:snp:5b7da0aee45800ef49b3370284e5b2b5c99be92f
17903,https://github.com/cran/qicharts,swh:1:snp:491edc112747ac5c98cd6c6c8c9adb1a68a15f48
17928,https://github.com/cran/apc,swh:1:snp:5edc96cfc0d1cbbdc931d87acb26c32e5085b376
18037,https://github.com/cran/wskm,swh:1:snp:f47289e41613bf832d0a61f60578e90885c84de9
18380,https://github.com/cran/glinternet,swh:1:snp:6255438f82383859fafab8a56c747cdfbc5f58e2
18822,https://github.com/cran/metaviz,swh:1:snp:8ce2cceb78d8b2e2ad05f30a616d0ac0dd41194e
18934,https://github.com/cran/MIAmaxent,swh:1:snp:3853ca57be22b99c0bae585f51094f9b9807deb3
19054,https://github.com/cran/MST,swh:1:snp:0bddcd2abc9a75359a709f990935befe52ce8c81
19300,https://github.com/cran/linbin,swh:1:snp:38feef34e8da969f2d986b6c4ee9136f1aafece2
19305,https://github.com/cran/tsxtreme,swh:1:snp:6d564f38e970eb197f0ab2caa1ddac2cd966a363
19548,https://github.com/cran/Survpresmooth,swh:1:snp:92b168057cae3a07f86d34368f4280383531cd83
19710,https://github.com/cran/WufooR,swh:1:snp:d66d81e2f5c524283c46f0e8bd2beb11b568cb61
19778,https://github.com/cran/multiDimBio,swh:1:snp:cd7555d5cce08e8e96fed0f3444078f4976f1956
20243,https://github.com/cran/acebayes,swh:1:snp:7f1724e16d0fe3e02464fad233bbdddcca5690b2
23338,https://github.com/cran/npsurv,swh:1:snp:e7f46be310426b64f2ca8fa7557d759cd5e5266e
23429,https://github.com/cran/qtlnet,swh:1:snp:92bf8648767539d148ea2d2e08c53164f7232ece
23432,https://github.com/cran/inferference,swh:1:snp:080c7a7865cbbe01172ce207354e6b0acbff23ce
23541,https://github.com/cran/wppExplorer,swh:1:snp:61cc54b7802f874b2faaf7d94179762dea6f1d50
24039,https://github.com/cran/dlnm,swh:1:snp:df92e3c90be61721fafb5e58bc301bb524ad9c67
24418,https://github.com/cran/mlmRev,swh:1:snp:ce4d77a5c55386971d08c81b19ffa05ccc74c0c8
24420,https://github.com/cran/LMERConvenienceFunctions,swh:1:snp:ba5e9d4142a378d5814e81e384eb0b5683530be1
24421,https://github.com/cran/nullabor,swh:1:snp:245af276f9b1d75ea03e6ccb4ab434d446d4dc0d
24568,https://github.com/cran/goric,swh:1:snp:634f0bd67a65f5281be792da64e0a244bb20f7fa
24634,https://github.com/cran/tm.plugin.dc,swh:1:snp:30b61669986d97e4794e0153a4988559a5b47b82
24638,https://github.com/cran/DSL,swh:1:snp:8c387ad84edbac0a277ba831d26d6a0db018175d
25014,https://github.com/cran/concreg,swh:1:snp:045d67ec66f634d28d654d99371d2d87845ef12c
25420,https://github.com/cran/ODEnetwork,swh:1:snp:9c9bf4bd0bcb003c63249c538561e61dba983344
25760,https://github.com/cran/measuRing,swh:1:snp:c50422fbf90defdcd0e5ce500b883a0e9db34462
26121,https://github.com/cran/autoplotly,swh:1:snp:9dcb352734787786f741356c91b4213e790e4f82
26408,https://github.com/cran/mixedMem,swh:1:snp:fc0702135aeec63d848b5a6a1b32759e063af5c3
28133,https://github.com/cran/gpairs,swh:1:snp:10ababc8ff7c7b28ded6039cf4a0ae4fd3145417
28136,https://github.com/cran/ExPanDaR,swh:1:snp:957ab5d477150a843f714f92f7502c79820c1efe
29023,https://github.com/cran/simpleCache,swh:1:snp:7c935835299476ee5375acd9e4f3c5acfd0eb1de
30767,https://github.com/cran/shinyHeatmaply,swh:1:snp:62dbde81550352496e24d5b6cf3677ee5fa0ff1b
31266,https://github.com/cran/multivariance,swh:1:snp:c5bf23010a433f55124ad01cf6314106162422e4
31358,https://github.com/cran/miCoPTCM,swh:1:snp:3c20a10ac6d46963f70bdaa1f49a90568bf07c80
31445,https://github.com/cran/DoE.MIParray,swh:1:snp:a98e1516132af2e5c6128c3a5840d2c3519f659c
31968,https://github.com/cran/EpiILM,swh:1:snp:43042f3f2ed2d24744953c2cd4265f7ad3538698
32594,https://github.com/cran/imbalance,swh:1:snp:1b0d3be99fb26edb3c2a24745ede66b638a3837d
33030,https://github.com/cran/riverplot,swh:1:snp:abf52c27f727efb1434d305759c08e84213f68fa
33365,https://github.com/cran/qdap,swh:1:snp:e42f194e98a38eb02084eb6ac92dd587024b8540
33457,https://github.com/cran/rwavelet,swh:1:snp:4639a777fa0b0872b0064d48e33e45c324c3923a
34837,https://github.com/cran/R2OpenBUGS,swh:1:snp:68a992b28b7934a01be1667af22dbde506dd90eb
35210,https://github.com/cran/fairness,swh:1:snp:f15efba1d8b52a0ba227cc0886025d3aa650ea22
35218,https://github.com/cran/arenar,swh:1:snp:e2b5ab3bacbe1e1af593d8c89e26a05e4c252bf7
35837,https://github.com/cran/BayesProject,swh:1:snp:87a2f8a417d043dab086ffb1fdcf68e4fbe2c691
36710,https://github.com/cran/ordinalCont,swh:1:snp:8c8705a8449481a947cdbd1ad10cb42c7fab6532
36717,https://github.com/cran/fastnet,swh:1:snp:e8eef85c2bf4027cd552bd3c54bed7fca07ecc0c
36733,https://github.com/cran/sazedR,swh:1:snp:0cde363c290fbc4adcafc1fa48d07ad3a23cbad3
37177,https://github.com/cran/pseudorank,swh:1:snp:aeab530b4ac5b6f804e4c55c4c9608b8c66bd83c
37593,https://github.com/cran/PRDA,swh:1:snp:5cc7eddf4b2a70de4720af5333f85b18334f00c5
38253,https://github.com/cran/splithalfr,swh:1:snp:f7725cace4315401c803f17e40aa4b122c97855e
39011,https://github.com/cran/surveyplanning,swh:1:snp:e1abb97bff86bd6944aa6530add58bdce7ead0c9
40281,https://github.com/cran/FisherEM,swh:1:snp:3b565591d45e456884b8296af38047421f8ade93
40286,https://github.com/cran/palm,swh:1:snp:e17d8b2e90728a0ec8b2658487ac487eb0fe85a7
40332,https://github.com/cran/prepplot,swh:1:snp:51a3534a13ceedff5f1572e297ef4bf3b0b5eab8
40334,https://github.com/cran/BDEsize,swh:1:snp:f4acae1374408d404b38b03c97b93d4098f24bda
40336,https://github.com/cran/fpow,swh:1:snp:33e5bb59aa957aedfd4a19dd0313433d0ef9048c
40641,https://github.com/cran/RiemBase,swh:1:snp:3ec8780c6b43101be119dab363cf13f10f78bb2c
45046,https://github.com/cran/RolWinMulCor,swh:1:snp:47e7a8b6bfb6edd3b86867b1de54d50c0cf2aeec
44500,https://github.com/cran/RcmdrPlugin.TeachingDemos,swh:1:snp:69d0f36a6d9e30139d032e39d306d486c0feaf91
44495,https://github.com/cran/PHYLOGR,swh:1:snp:d482249cbfe670ad8724aa790f6f5b1195f1c411
44159,https://github.com/cran/lorentz,swh:1:snp:5f5219949cf90bd17363bda5d8fffec9fedb3155
43548,https://github.com/cran/RRTCS,swh:1:snp:a8495bb0f45ebe1faf5f1bef4126ee0ebdab38eb
43411,https://github.com/cran/bcaboot,swh:1:snp:376c60ad0d3e7bd03b13c8842104176ded8c5f5c
43176,https://github.com/cran/seagull,swh:1:snp:b091880194ea02b3cf29fe245295d29be20e94fb
43079,https://github.com/cran/brant,swh:1:snp:93b691f8d0952ea25d3135617ee288be06e884b0
43055,https://github.com/cran/VUROCS,swh:1:snp:43f490cc2b27832cfceed9920e76e554ed35365b
42957,https://github.com/cran/bayesDccGarch,swh:1:snp:ade3bedae2131358ff1c5fb6a1a0fda4f9221144
42772,https://github.com/cran/gSeg,swh:1:snp:47698dc11a3c29559017a31be098fbf745ec94be
42345,https://github.com/cran/robreg3S,swh:1:snp:dba965341512323225e81c0966d6597ca0a515ea
41972,https://github.com/cran/CausalMBSTS,swh:1:snp:d4e31399764d2a9558e41618f278d1cae9bf07a1
41433,https://github.com/cran/LAGOSNE,swh:1:snp:d60d7dc785e8236fc620229ad0cd92036635466b
41424,https://github.com/cran/multiMarker,swh:1:snp:b2532e51c15c660adfcb0030c440655b604918c9
41365,https://github.com/cran/bmlm,swh:1:snp:c06271e97647436c2bc5c72981ab7ca4901c8fbe
41084,https://github.com/cran/ocd,swh:1:snp:868fd1445f230b63528fe067d793a57c890c3893
40910,https://github.com/cran/condir,swh:1:snp:e04c338fee0bd1bcd621813d720a5a3df97b3adb
40880,https://github.com/cran/BVARverse,swh:1:snp:fbe758238f372f9240aa270be4c163dc8160e924
45842,https://github.com/cran/EquiSurv,swh:1:snp:0836613131b4ee51712adf6a02e385c52748c76d
45478,https://github.com/cran/localFDA,swh:1:snp:333d8ca550b825cf9e063c30269c9c2f8e6f4684
6784,https://github.com/cran/selectMeta,swh:1:snp:1d9047f6d86915a495038ebb4829f25269f9bc6f
7109,https://github.com/cran/polywog,swh:1:snp:88bb4cf0d9c2cd9391179a8bab89de718f9f2641
7967,https://github.com/cran/clustvarsel,swh:1:snp:e1f2f1b5851166aa7230569d4fb3b7aa07fce85b
8036,https://github.com/cran/mixPHM,swh:1:snp:55e1f3657df714c37e6d7c85359f32eb14a6c872
8081,https://github.com/cran/spectralGP,swh:1:snp:a65ac1c8214590212ce65b0194ea24bdc6ce5212
8226,https://github.com/cran/spatialCovariance,swh:1:snp:879b32c56dfcf5cd145f6176d846ae7ce3117268
10497,https://github.com/cran/GSM,swh:1:snp:1d69c8fe38a7e3940bb416d8318efc5d427444e1
11000,https://github.com/cran/alr4,swh:1:snp:19c6d54aa54e1913d9285a8c1c8a08f63637b86c
11005,https://github.com/cran/aprean3,swh:1:snp:e9f235e370db2f0b25026a47227e33654d7a370b
11057,https://github.com/cran/hoa,swh:1:snp:573780fbba934860df98243a9e7be4cff1017463
11131,https://github.com/cran/FuzzyStatProb,swh:1:snp:4598c59641b9824a84cafe9bceb5bd57e3d6f498
11219,https://github.com/cran/MEMSS,swh:1:snp:2cdf0b8183548f2ad4173310d1e69d9f666affb0
11350,https://github.com/cran/penalizedLDA,swh:1:snp:f336c539129c5292df82d06a40b84ec8fa823fcf
11724,https://github.com/cran/primer,swh:1:snp:764feb5b20a344d9f3153db333306844861659e5
12062,https://github.com/cran/scout,swh:1:snp:bb35f1eb738d4cf786cff75b4952b6cca4c78bd6
13274,https://github.com/cran/GDAdata,swh:1:snp:2a13360d060eeb262195397debd8bdf7b98273a1
14003,https://github.com/cran/cds,swh:1:snp:a237edbd31e7f01b157cf81fd0cd1e7d103fd03d
14856,https://github.com/cran/CalibrateSSB,swh:1:snp:8ad76251c2f54483936010e1269d903b947fba3f
15179,https://github.com/cran/HWEintrinsic,swh:1:snp:a62122a3314fae56e97251f06bce67e3c30f8bbc
15378,https://github.com/cran/CombinePortfolio,swh:1:snp:5c66e82479d740582f805a017543423820797913
15393,https://github.com/cran/rwty,swh:1:snp:44e16dc0b6cf9f56730a253a2c74e034afd3b8a8
15493,https://github.com/cran/anesrake,swh:1:snp:3e1d98115db44496960f7c94e6f8e36efcae051c
15499,https://github.com/cran/KOGMWU,swh:1:snp:e47b344cda6d229a6a5f71f9290814f2c0d5ff1d
15677,https://github.com/cran/detzrcr,swh:1:snp:ba74d7c917df553c5c41ad902f586561ee136111
15740,https://github.com/cran/accelmissing,swh:1:snp:4622aaefc1e97083f82a234dbbcc6af8ae3f946c
15987,https://github.com/cran/batch,swh:1:snp:e7cda3e5e3f07bdbbb3bdd7bff188e70e68a3c52
16008,https://github.com/cran/momr,swh:1:snp:ba666c1afff4a9a1857853c8f09717b4b67224ef
16067,https://github.com/cran/random.polychor.pa,swh:1:snp:9e65406c06c5894992a40b0477b22a3f153c7aa4
16858,https://github.com/cran/penDvine,swh:1:snp:7f0bf4b4753b5f87ca9da99cf4d1c773dfeb0c57
17227,https://github.com/cran/BEACH,swh:1:snp:ef688adb872bde7092b589045858eb9cb32fcef8
17702,https://github.com/cran/modMax,swh:1:snp:fcb2f7ad7cb3ea213a4248d1ff290cc3abcb5a36
17936,https://github.com/cran/RWildbook,swh:1:snp:4e1c912b94cfb75ac5376d60b754175ab1cb4cae
18168,https://github.com/cran/SOR,swh:1:snp:36dd34a85445e19fc774523b359c8f6c5ff6830d
18926,https://github.com/cran/Jdmbs,swh:1:snp:dee1d5425b2c13b0b8214e6ef736320283c9112d
19522,https://github.com/cran/Calculator.LR.FNs,swh:1:snp:ee38253eb9efe983871732bd832b2fd3708bb39b
21389,https://github.com/cran/gramEvol,swh:1:snp:e7900f119b34391ca66e7bb24670b83355dcd36d
23523,https://github.com/cran/modehunt,swh:1:snp:994c31bfc87090d14a893ac551f195abad7970a9
24019,https://github.com/cran/HistogramTools,swh:1:snp:04ff01afb2607ba87d8cd9f94e8e50a1f0e2e4b5
24103,https://github.com/cran/GeneCycle,swh:1:snp:d6fd3d996069458850943c8f86c7625e8fe78d5a
24152,https://github.com/cran/threg,swh:1:snp:ed26ece5f4dc618a5e67ad08000f9946aa59c7bb
24166,https://github.com/cran/diffIRT,swh:1:snp:345a7c61750443af529741f2fafcc4f3b3941c0c
24169,https://github.com/cran/A3,swh:1:snp:fe715d511ec37411411aabf6629c2ca7d08f7768
24393,https://github.com/cran/cumSeg,swh:1:snp:5651f714af39aa5cb090a92e42c35ab368476d2a
24464,https://github.com/cran/costat,swh:1:snp:a6b270ea2a34a14ce9d6b87ef9f2a5ac6e3d39d2
24879,https://github.com/cran/OrdFacReg,swh:1:snp:82bc2c1430868838286fa3658404071c83e85ec0
25072,https://github.com/cran/TP.idm,swh:1:snp:ddc0d1bd52d51879ba00552055f37d0d0986fbbc
25520,https://github.com/cran/calibrator,swh:1:snp:cdf9b020f0bd2952bce8280d98c71816e2a1cfaf
25776,https://github.com/cran/MCPAN,swh:1:snp:7a56bec761537a8bd3cf9cd66f1dd0b8d90bb680
25803,https://github.com/cran/untb,swh:1:snp:0b28ff80d726844bcb677e6702a13e5ea01ce331
25840,https://github.com/cran/RaschSampler,swh:1:snp:c7155190fe909300b881c131af7647f0821ef927
25982,https://github.com/cran/multisensi,swh:1:snp:93d2fad4ef1d0129f20f33df7362977fc7a1acfb
26124,https://github.com/cran/surface,swh:1:snp:808d0b7a70e4b03fa9b2799baade70f0586265e9
26259,https://github.com/cran/MFT,swh:1:snp:75b22d5e26a552afcaa9b6c26859e2f5c38c4bf1
27321,https://github.com/cran/nhanes,swh:1:snp:24d0afc9c2933c9eec02de2b27a7875a0b6e33c1
27692,https://github.com/cran/lulcc,swh:1:snp:70256f2ac400e94abbd97476a4a9bd882f36f1c4
28074,https://github.com/cran/linearQ,swh:1:snp:d392ebbd019d1973d20badde5e32eeb412cd63c3
28276,https://github.com/cran/TULIP,swh:1:snp:b199c02c7e00fcb0acb5f2e90c6af58beea31064
28927,https://github.com/cran/BoltzMM,swh:1:snp:0f0e7ba33ceb48f5e4e01161967e4cd57465e39f
29201,https://github.com/cran/rpca,swh:1:snp:704ed30142c3a2175834fc5f459f3683d7e7c523
29674,https://github.com/cran/logcondiscr,swh:1:snp:631762f15bbf6db0f365305338a201f4c947590f
29900,https://github.com/cran/rsppfp,swh:1:snp:b7fb2b49b6840f4dd93933ab43388f42b58d901c
29960,https://github.com/cran/deducorrect,swh:1:snp:2db9c967f75503d1464665a4f476d829e4ad56eb
30344,https://github.com/cran/lori,swh:1:snp:70f3ef860e237393f3095801aa93b86b3d4e9863
30487,https://github.com/cran/BeyondBenford,swh:1:snp:f2f93b7614f5bd0c98a3784e821d7ddc1e512e9e
30488,https://github.com/cran/BenfordTests,swh:1:snp:c05f239e805ffb3ca90616221eb0f3ef16de9398
30838,https://github.com/cran/BayesSAE,swh:1:snp:2f4fdf7fbb9033ece08098727289ec5adedb07e7
31204,https://github.com/cran/gmfd,swh:1:snp:8e58a9738fe7508a12a0dee67b9ecd9236c6713f
31356,https://github.com/cran/PCA4TS,swh:1:snp:666f5300e34e53cf642f68c30406ee2c63168147
31534,https://github.com/cran/memochange,swh:1:snp:c6b87318995d97d117f73bb05f194c9e2823f7f0
31652,https://github.com/cran/CorrBin,swh:1:snp:32426dd8eca28f25c2b5ad1b74adf9b5d8abbac3
32319,https://github.com/cran/FarmSelect,swh:1:snp:645805e6de16a7b5661e2bd6179e8fab4d6d3345
32439,https://github.com/cran/profileR,swh:1:snp:7b35fde81de71143e63ec66903061b5919454507
32507,https://github.com/cran/predtoolsTS,swh:1:snp:56ff6d3e8be4796734ca532089f8b8996107cea5
32661,https://github.com/cran/GAMens,swh:1:snp:3fed22f4278e41d78eeb6521840ab65dff7c35e8
32826,https://github.com/cran/Equalden.HD,swh:1:snp:f98657c306466c6cbce5e1457965e1add8de5a60
33021,https://github.com/cran/ECGofTestDx,swh:1:snp:184843b771311e788fc35077e0e49ae8321ecd9a
33590,https://github.com/cran/woe,swh:1:snp:3af7e7a511168e5ad1968c25a7ad5ed76604df06
33881,https://github.com/cran/semsfa,swh:1:snp:61b14ca5d27fa072b3f888059ff697cebe409b03
33919,https://github.com/cran/RobMixReg,swh:1:snp:e3172cb81e7fee501d00bf16c0600cd37ff28f72
35160,https://github.com/cran/usefun,swh:1:snp:51d71f6fcde576b67f7150474f247911d7e221b0
35364,https://github.com/cran/dynpred,swh:1:snp:6e49a1053c955b2c3577b434e39c64896450a02b
35592,https://github.com/cran/GraphPCA,swh:1:snp:9e0ed8013bd1b2c388293e58bc7ad5065593c278
36707,https://github.com/cran/vsgoftest,swh:1:snp:1bd952f3e624117f5bfffc2c54e21b67bbe0d253
36709,https://github.com/cran/EWGoF,swh:1:snp:12dacace50e7a24df1683ea04fa7794c02147758
36725,https://github.com/cran/rdrop2,swh:1:snp:3490958df3579d0afeebb1bd7a23d2084dba1e5b
38640,https://github.com/cran/adamethods,swh:1:snp:c5c86b1bdba6c4c1018ec387034457315b6476ca
39283,https://github.com/cran/mnt,swh:1:snp:4dd9f4584cb5e1a9dba80298fd059e5fce094513
40356,https://github.com/cran/rocTree,swh:1:snp:74edf7bfd92e060b0e08d5e14b2d700c93d47f67
40466,https://github.com/cran/hmeasure,swh:1:snp:a51b67d5aa0dfd5037bffca247bef24b5d8ef624
44976,https://github.com/cran/perturbR,swh:1:snp:99385c28d68a4b2ef2a5ad34883c7463544b3c83
43651,https://github.com/cran/RobRegCC,swh:1:snp:3dc0877b154737a62cb7d5c53b229a59c2ff9db9
42402,https://github.com/cran/kaphom,swh:1:snp:f3e9b1bcc441087bebbae0ec77c5f27b8624a65a
42351,https://github.com/cran/PROMETHEE,swh:1:snp:7cff7491dbff4c6c46940283088754170f81e369
42075,https://github.com/cran/VarReg,swh:1:snp:6e8cc69c5c797f29eb82a1244ed5dc93bfd8d2f1
41329,https://github.com/cran/gb,swh:1:snp:ab5e4fb808b29ea58f22cc2cb722dc68e57ecd81
41303,https://github.com/cran/votesys,swh:1:snp:c8e729705e77e6f44651774085efe79e690c8c3c
40998,https://github.com/cran/Copula.Markov.survival,swh:1:snp:125a7c11ca7a23ae97331e5d3b7a0a0c8a9db350
46628,https://github.com/cran/CVEK,swh:1:snp:fab29293e396dc60df6ba8648a6bb7cb9a241267
46783,https://github.com/cran/brainKCCA,swh:1:snp:17ad2f1cd6a5a470c0cf5f498ab1912a28a17e08
45418,https://github.com/cran/flam,swh:1:snp:0b0c82cce033465ffa85433e0e0ed82a8999daf3
4498,https://github.com/cran/simecol,swh:1:snp:d7077937cfe91b195c8c5ece09807aad58691233
6062,https://github.com/cran/deTestSet,swh:1:snp:bb848fb64d3f45a81ba0f4c8f9262b2bb34ccc9d
8157,https://github.com/cran/mixreg,swh:1:snp:ffc37b6a0bb9dd0c00e833df60deab6d0c9f0f1a
8340,https://github.com/cran/BvpSolve,swh:1:snp:c6dd189c99a97d4ce1e006eb6f43c431411560bb
9327,https://github.com/cran/pps,swh:1:snp:ed702f74a402309ade597d64133b5fe87bcb6115
10623,https://github.com/cran/AppliedPredictiveModeling,swh:1:snp:9c5271653e7b32f8540f059827b7cef2a926725b
11130,https://github.com/cran/funHDDC,swh:1:snp:0c5e3e271c3720f59f327e5a3c1ebb294038794b
11727,https://github.com/cran/smdata,swh:1:snp:bc58c9b1aa464ea96bb062d4eda3137d79568e7a
11728,https://github.com/cran/spuRs,swh:1:snp:632da9b061a3056725c87bbb57e9778268ce3cc9
12281,https://github.com/cran/spt,swh:1:snp:ae20834c650e55c52c382510088fc4c5b764e5ca
12314,https://github.com/cran/TAQMNGR,swh:1:snp:fc677b26e863eb73e398119351c912978d051b39
14463,https://github.com/cran/fractaldim,swh:1:snp:f0d87c6cd4465416c3cc03f67574f248be67426d
15061,https://github.com/cran/Thermimage,swh:1:snp:b413b4f96268724989556a7f931fb1002ad5281d
15133,https://github.com/cran/quhomology,swh:1:snp:8677c66277a6eeb7a6a10bea3771417c2414fe3e
15143,https://github.com/cran/Biocomb,swh:1:snp:10386799efeb55d1e6395aff2eb6a97993b6a3a5
15219,https://github.com/cran/oglmx,swh:1:snp:2a566d5cd7f62e51c19f9ffc7c8856f9e637fda0
15272,https://github.com/cran/OptimalCutpoints,swh:1:snp:a02ab08b2cda53d0e972a4980c9a94cf23c94010
15289,https://github.com/cran/convoSPAT,swh:1:snp:a0b83dfc61315b999d44bafe1015760784979f58
15374,https://github.com/cran/SparseTSCGM,swh:1:snp:2de22a0a14e94dd55688733ebfd7efdca1f67a76
15594,https://github.com/cran/LatticeKrig,swh:1:snp:73c5c57b1d7d20883b97d198986e88baf38e7100
15698,https://github.com/cran/recmap,swh:1:snp:d5dc3298787206291ea5af47371c7df27b395293
15904,https://github.com/cran/STB,swh:1:snp:7cfa45254d196e40d5c15a899bab354ecc56ac97
16062,https://github.com/cran/boral,swh:1:snp:67457f92ec2eb75dad0d58856b84631b821fceb1
16072,https://github.com/cran/elastic,swh:1:snp:f06e6814baa5bced9a551862225b36c7ea84fe52
16127,https://github.com/cran/hdpca,swh:1:snp:ae80ac09244a312091ce0b9622a1f9154677252b
16160,https://github.com/cran/fastM,swh:1:snp:416ddf74d0fa5e498fbfbc08c64fe0b59540277c
16189,https://github.com/cran/SDMPlay,swh:1:snp:c3e53870c2db2bdfe3c0314f23d416bea14e7312
16273,https://github.com/cran/BOIN,swh:1:snp:8c3c421cc04e05f7e2537aa30f708697620a57b0
16310,https://github.com/cran/NUCOMBog,swh:1:snp:feef78e7247952fa35dab4fb2e3d8f67d3effd91
16325,https://github.com/cran/TestDataImputation,swh:1:snp:cadb5ea8ebf2c704a36429c30f2c69d1d90dc495
16373,https://github.com/cran/boxr,swh:1:snp:94f0ccfde5ee7078a2beeefa8500688cf6465623
16394,https://github.com/cran/EMSaov,swh:1:snp:a0ca583399a31f58fd893ce3943525872e93baed
16690,https://github.com/cran/lakemorpho,swh:1:snp:ef23a580ccc38f4198b108c80051ebd408d5799a
17213,https://github.com/cran/PerFit,swh:1:snp:d643a11df68e387ea0992723c58899e514fa5243
17414,https://github.com/cran/ARTool,swh:1:snp:8beb0fa219ae81c05e0cdf7ca90cf0c485a84295
17854,https://github.com/cran/denoiseR,swh:1:snp:abbe62dc2b658d3d57216fd1447d237de63a6284
17900,https://github.com/cran/diffusr,swh:1:snp:28d489223f65c0a25bc320a848bf1ea04e19587c
17983,https://github.com/cran/SphericalCubature,swh:1:snp:1ac348391c900114a2a424a141a66c24ace72937
18004,https://github.com/cran/shadow,swh:1:snp:ec01e8c50efee0d4ecff8dbab97caa84127010c2
18462,https://github.com/cran/templates,swh:1:snp:ce0f5df53c38be00d94e9f81a1edc40af2c8b14b
19380,https://github.com/cran/RatingScaleReduction,swh:1:snp:a8a806f3d4d1bf1379d530c86efb55d3089f2b66
19431,https://github.com/cran/rTableICC,swh:1:snp:f70edc3136bc79f6a08d6fb352de873f6657042d
19800,https://github.com/cran/asympTest,swh:1:snp:5c5c1e252b10f6eac07e57d42033a0cc52f9b53e
20291,https://github.com/cran/madrat,swh:1:snp:8a920103dd2cb360e92118ca7228488cd256a65c
20294,https://github.com/cran/sodavis,swh:1:snp:1a0207cf615d8f0d8821a4049bb525a6eb568e06
20441,https://github.com/cran/HGNChelper,swh:1:snp:5de452b63a34fc4114ec87515ed73593b40ba115
21091,https://github.com/cran/mvmesh,swh:1:snp:e9bb1c937fad4e68a96e66b4f2d07b9fbd808d9a
22169,https://github.com/cran/PoisBinOrdNor,swh:1:snp:e752fa34a8ed4f9a9974c91b06d950bbfaf97b11
22170,https://github.com/cran/PoisBinOrdNonNor,swh:1:snp:5ec8b7f0ed0868aedc55805db02bd7fd1264efef
23270,https://github.com/cran/PrevMap,swh:1:snp:c18c746d40f73f439476378b78714afb9f261607
23603,https://github.com/cran/qut,swh:1:snp:df53d55ec51b9cbb480792b935003fac071d35ce
24254,https://github.com/cran/multivator,swh:1:snp:b6224948aed983441b8b640b70a88bfeb262f323
24307,https://github.com/cran/rFerns,swh:1:snp:eaeafe931d4e41e4be33152fc8c2e7c33076a4d5
24395,https://github.com/cran/AssetPricing,swh:1:snp:371da80bf04f806f20d0b7f1df7b74158bc39248
24559,https://github.com/cran/nlsmsn,swh:1:snp:561214250915e702ed64696092e7b62c093768ee
24690,https://github.com/cran/MM,swh:1:snp:d05bc2401d4bcee718da995367b1d27793cc5677
25113,https://github.com/cran/simsem,swh:1:snp:10f7c7fa59d33adfcf3ec5a0b5d1c75fb046e977
25212,https://github.com/cran/PoisNonNor,swh:1:snp:ae58afd3240db03ab7363cb373667ee02e3ebfd0
25597,https://github.com/cran/CommEcol,swh:1:snp:175406f4438a1728968a99cf889a48da685f6af5
26118,https://github.com/cran/dataMaid,swh:1:snp:22363e11fb01b7933436454557617e59ce6c29db
27370,https://github.com/cran/TrajDataMining,swh:1:snp:1db64f797df0f1ba8a19677931b141b6455a694d
27468,https://github.com/cran/breakDown,swh:1:snp:7c7d6979b0362933f18efaa715fe3096254caa7d
27470,https://github.com/cran/ALEPlot,swh:1:snp:0d73a373a44fafcd400bf6e847f035b116af9d20
28804,https://github.com/cran/model4you,swh:1:snp:36c35b406c8c75c3460f3ee17b4bb5365d026a01
30114,https://github.com/cran/riv,swh:1:snp:50a313c012e243fac47106a1b93e89b2405bb8fd
31313,https://github.com/cran/rWind,swh:1:snp:3775679aae5b8b2aa519716592cfe0026a2fd45a
31735,https://github.com/cran/polyapost,swh:1:snp:d1680946acb5a18d25b1ea08599df6efd1624ab0
32019,https://github.com/cran/fivethirtyeight,swh:1:snp:e5b4e9112d21787a7e33f0d83167565f80b2fb5b
32946,https://github.com/cran/meanShiftR,swh:1:snp:11c2d6c525ec14c4ecfd0d4b8e3c6718bfc58292
33361,https://github.com/cran/sentimentr,swh:1:snp:0e3e9b7097670f6deb3c194c69e0429ce8f182f8
33917,https://github.com/cran/RaSEn,swh:1:snp:e6d2d2daf281da6b671c1e97f3a137ba9a9a79de
34725,https://github.com/cran/Barycenter,swh:1:snp:8473adef57602760041e4c7a8e00b8bfca0f4b7e
35206,https://github.com/cran/EIX,swh:1:snp:30b302e02e69463b6b5671abdd1e0fc0eb29625b
35313,https://github.com/cran/MixSAL,swh:1:snp:fda3255de8782448fdf3a3e4ec5ad5455a84670c
36345,https://github.com/cran/gamlss.spatial,swh:1:snp:7ce2bc339d2f0c49a67a464505c8c37e42d81720
36419,https://github.com/cran/covsep,swh:1:snp:8e62dd2deabf26a634f2fff5bff97d11385d0816
37032,https://github.com/cran/metaBMA,swh:1:snp:ff7b28320d593ad3938c67c130be57ddba717807
37258,https://github.com/cran/reporttools,swh:1:snp:c5a306a433bad475952b4515c30c557438050c5c
37932,https://github.com/cran/BMTAR,swh:1:snp:72df0a508a3de780fad2d1941be4c801d449cbf3
39009,https://github.com/cran/LNIRT,swh:1:snp:77e630356f29827c030fe5d2f142da03ac24d378
40198,https://github.com/cran/cAIC4,swh:1:snp:53b953e6d99fbe536613363c71fa2522053340fd
44727,https://github.com/cran/uni.survival.tree,swh:1:snp:4b8163fd2dd8cd888b066cd63c1e048c10cc317e
44482,https://github.com/cran/tsiR,swh:1:snp:1ae5c32785130e08e1795f177d599731b7cf19f7
44078,https://github.com/cran/slasso,swh:1:snp:47cd9ecd8d99591a5002243ed794405fe0210c7b
43654,https://github.com/cran/bayesrules,swh:1:snp:512093bf6e3d0e227c62e1b133771b0116bfaecb
43549,https://github.com/cran/GLMMRR,swh:1:snp:2479251673e0cc26b72621f3987515e1f3f97155
43094,https://github.com/cran/simrel,swh:1:snp:bdd86e92054cae010ef89e6fab0b74af57273bb6
43013,https://github.com/cran/GlarmaVarSel,swh:1:snp:63f7978e96d2ef6b08f8373fac2d26e71ebccfba
42889,https://github.com/cran/TSPred,swh:1:snp:3d6bdb853b92c02a387e5898f886b192603bbe43
42643,https://github.com/cran/careless,swh:1:snp:dfbcb25ebdb3a234d274980915c63135577aa3f5
41987,https://github.com/cran/DOSPortfolio,swh:1:snp:a107d087ab49fb347a552a86e3057cabb9709405
41506,https://github.com/cran/smoothedLasso,swh:1:snp:551fe0112315d696e7d55ff81cbf0062db14ad45
41342,https://github.com/cran/PoisBinNonNor,swh:1:snp:6050841111133a2565fa1d2fb21c91de9c5a48a9
41308,https://github.com/cran/esaps,swh:1:snp:9c7138aaa0ff96048e4d4b4b878a8216888ab10b
41220,https://github.com/cran/FOCI,swh:1:snp:f97477ce4e6bd02e7468d6d5aa3c5af31c95f505
40974,https://github.com/cran/BINCOR,swh:1:snp:4655994bfd4c37b1ca44bc70a9773c82f803a9e8
40883,https://github.com/cran/pcFactorStan,swh:1:snp:525d65f9a09007e43ebc94177490110b82d90c57
40766,https://github.com/cran/skewlmm,swh:1:snp:3df253551865a6c6f30a2bfcbe72135a5cb0e073
46786,https://github.com/cran/cfma,swh:1:snp:c6ef303e9bd1121d4674c902193d842cd054ead7
46283,https://github.com/cran/ExactMultinom,swh:1:snp:50974b91063199c491a57d87ae048237b4164540
8132,https://github.com/cran/nlt,swh:1:snp:83d7892915b862e9bdc39d8a649d01429e88f4d6
8253,https://github.com/cran/varSelRF,swh:1:snp:223184e5052bf5f7289b4b87266abb2f1dc2fccc
8798,https://github.com/cran/Binnor,swh:1:snp:0138f3021691940c63579ee48a952e05adf79fd6
10934,https://github.com/cran/copulaedas,swh:1:snp:2a1b777ec83591cea57c7f59b3014e52af548562
11245,https://github.com/cran/MultiOrd,swh:1:snp:8c683aca45ef7368bed00e87eb68cf93306d3e6e
11302,https://github.com/cran/nlmrt,swh:1:snp:ffa76bf3deed2a02f655f519630ff49675ba4bd0
12165,https://github.com/cran/mokken,swh:1:snp:46ace466d015fa8b9165308ec3f4cd8e7ef128de
12295,https://github.com/cran/ClustOfVar,swh:1:snp:889ff891cce871d013ec9e9f825d363a1e976676
13713,https://github.com/cran/glmpath,swh:1:snp:c352c260bdc27252efb671e84505b1193b59fc95
13723,https://github.com/cran/ReacTran,swh:1:snp:bbc0b94b1c0463480b615c86f1ae2df3fcc700c0
14392,https://github.com/cran/gIPFrm,swh:1:snp:59d349575ec4324951106a8a0f341897a5f233e1
15177,https://github.com/cran/LindenmayeR,swh:1:snp:2ae92ed1ad3abbd4aabb12a10b3dafcab5321837
15232,https://github.com/cran/SALTSampler,swh:1:snp:96ebf01e00e7eff62f1388fb1cc61fed84f8a6ba
15237,https://github.com/cran/alleHap,swh:1:snp:1fbbdca352bbfed193f8bd848facca220f5c0d7e
15562,https://github.com/cran/episensr,swh:1:snp:4fecdd5b05cc563ddc6fde6d8b380459d81ad675
15763,https://github.com/cran/BioPET,swh:1:snp:a77a768aec9fe0db85dcd28544f6671193778006
16009,https://github.com/cran/DFIT,swh:1:snp:63049da80f5332d21e84ff18cb6d80b8b5c063ba
16090,https://github.com/cran/IntegratedMRF,swh:1:snp:a2263e0485c1ebbfede56cf747711faa4b673a3c
16126,https://github.com/cran/EFS,swh:1:snp:ff19a6ded97e7668acf7e99ddff97aef4d11893f
16156,https://github.com/cran/vines,swh:1:snp:d6afe955174bacb974f2cf9f266349d920767a1f
16524,https://github.com/cran/exCon,swh:1:snp:864c3de525128a6e27029cf790b5b3e4fcab9c27
16526,https://github.com/cran/nodiv,swh:1:snp:5f836a918fb32e48362e81f0868de8636178e1c4
16568,https://github.com/cran/landscapeR,swh:1:snp:462d9df3f3b2c2ffa1532570ed059aa8c22b4115
17064,https://github.com/cran/oddsratio,swh:1:snp:8eea658a6bbae2ade76d0c889ec20b73d1af0d91
17396,https://github.com/cran/TPEA,swh:1:snp:6aeabcb2d4fb9bb493a3804335f37b4474801346
17892,https://github.com/cran/timedelay,swh:1:snp:26e0e4df69709dc0ab257bd682605f7f8fe178ba
17904,https://github.com/cran/r2glmm,swh:1:snp:5b265646057c0a649ebbd3dfe74eb3e902d0c1f9
18471,https://github.com/cran/GrpString,swh:1:snp:0008c7a5a116cce7ea043ff89b9f6173be3ce369
19177,https://github.com/cran/woeBinning,swh:1:snp:4c7133b7b2b15a3c2abd76cd78d7cf5443ba0b21
19340,https://github.com/cran/xkcd,swh:1:snp:77e16eb5d95d9f7d1fbbb9076b9cb198e09659ca
19671,https://github.com/cran/l1kdeconv,swh:1:snp:6c8529b6b54ecbe07e08a270b457aef2200850cd
19815,https://github.com/cran/BayesBinMix,swh:1:snp:61a88b24f145d68a8d77e1e27df220cc694ce67b
20712,https://github.com/cran/m2r,swh:1:snp:85f6d167a32014a7bd27e7d466731255b2377cca
21124,https://github.com/cran/OrgMassSpecR,swh:1:snp:108b1569a24d01d3186158c84ff6d66d53397de2
23110,https://github.com/cran/gmnl,swh:1:snp:aca961b57949ef96df3e0046a64778c4f6a3971b
23167,https://github.com/cran/KRLS,swh:1:snp:dd0ef9cc93a5e7a49e321b9136db9970052e4411
23599,https://github.com/cran/MBSGS,swh:1:snp:b085cc2faf7ba22ea63e1668e3f3ce4c6a1d3c4d
24028,https://github.com/cran/ssmrob,swh:1:snp:197e166e18ded8430d558f068c3e0b66668a3e0d
24138,https://github.com/cran/sanon,swh:1:snp:67c1bd11eda8ffaf00491a1098382cc49fe05e04
24591,https://github.com/cran/GRCdata,swh:1:snp:c3da664724e9b88e8c980af6ce00b9ed6fb13110
24866,https://github.com/cran/dse,swh:1:snp:9e20fe6a52085dcf9b7ac40563ce515934cb71af
24911,https://github.com/cran/blockrand,swh:1:snp:d0816ade99b89898cd95bf5ce194e94cb0fbd817
25414,https://github.com/cran/HoRM,swh:1:snp:0d2763a2baa7459634493aa2797cdf9ff6bc1e68
26014,https://github.com/cran/rgexf,swh:1:snp:c6da9b4713a211e56174ce882206feeccd131588
26090,https://github.com/cran/lspls,swh:1:snp:41bc69867dff22cd31ab421f9748e1f182221862
26709,https://github.com/cran/CovTools,swh:1:snp:bfc28a224af84f31ee174f62220353872aa2f39b
26779,https://github.com/cran/HMPTrees,swh:1:snp:df41552514ca44d5144fda27e9e427ecbdf8a96c
27160,https://github.com/cran/MGSDA,swh:1:snp:eaa16b8680cdb1b938a40731ae2aad79b06b0068
27439,https://github.com/cran/hot.deck,swh:1:snp:70188b22ef0ef509788815e83d53a811b4ad5c07
28189,https://github.com/cran/plaqr,swh:1:snp:0ee34d0bc3b1e1abcb1b161aac3ae7b998ab2b79
28371,https://github.com/cran/stcos,swh:1:snp:2100162aafa8546329b3b51aee42e307cde8b575
28684,https://github.com/cran/mads,swh:1:snp:27aa71cc2a16ae103d90c098225e6534819e219d
29206,https://github.com/cran/NPMLEcmprsk,swh:1:snp:bc3b382d8a38624cae727a1676e6692bc356c6f1
29209,https://github.com/cran/pseudo,swh:1:snp:119ef5a7d338074fca108add8b9c211e7e9cb7b5
29956,https://github.com/cran/editrules,swh:1:snp:7e82f60f78173b8476bc9c92ce565f9ca335c540
31326,https://github.com/cran/simsurv,swh:1:snp:7645f89dba4ad605d26b93a8b0e137e8e8a9c942
31344,https://github.com/cran/CDVineCopulaConditional,swh:1:snp:708175300c2b5acb3142c42842ad881e6717a577
31424,https://github.com/cran/palmtree,swh:1:snp:3081a546de8e092aeae146d3bbeaaa08f9b45243
31437,https://github.com/cran/liftLRD,swh:1:snp:8b18af89e4c3710095b24a06d6b4c5641f6a6829
31438,https://github.com/cran/CNLTreg,swh:1:snp:7272574e62f9069ca7ef396a70c8712aff74f17e
31441,https://github.com/cran/AcousticNDLCodeR,swh:1:snp:24b38d965617b3a951324a83c87e562b74ce0993
32649,https://github.com/cran/conjoint,swh:1:snp:4f1ffa717d57629a81f8095f0908fa2e4782eaf2
32860,https://github.com/cran/loggit,swh:1:snp:5f948f3fda5edbfc990c8fefdaf0f7936ab40435
33360,https://github.com/cran/RSentiment,swh:1:snp:bbd00b7dab7ff785dcc32ce804eec8388e86d8fa
33364,https://github.com/cran/sentometrics,swh:1:snp:fcfc099c8acca6f6aca32c9149a3c48fefca7caf
33874,https://github.com/cran/JOUSBoost,swh:1:snp:d0e44a05d83e0b3dd05394f7aa22b062083246cc
34842,https://github.com/cran/dr4pl,swh:1:snp:4038d73341fe7015fc780c1844f825d072ffa427
35489,https://github.com/cran/lmmpar,swh:1:snp:2fbf44d20a192902d5ef27890697e955fa446e4b
35505,https://github.com/cran/medrxivr,swh:1:snp:ad89517e673c7c902cfd829dde08dc4288010841
35571,https://github.com/cran/tvR,swh:1:snp:117bd7866822f73af9b36ecdb3c940ea1210c84f
35590,https://github.com/cran/MetabolAnalyze,swh:1:snp:5981c3cc1e594a5dd6bf59dcf025824cdf4c1726
36346,https://github.com/cran/SharpeR,swh:1:snp:2c2ac56101b07cf496c35272c61d2a71c50fe8f1
36711,https://github.com/cran/nonlinearICP,swh:1:snp:a3a75c8f521309604522065d2b6b00282c51ccba
36712,https://github.com/cran/seqICP,swh:1:snp:96f0355ac5f0c8956f22e9d5ea9018415aa16a4f
37931,https://github.com/cran/bayeslongitudinal,swh:1:snp:34b6a189e4855def64141fb2ee44efad64e2c8fa
38410,https://github.com/cran/MAVE,swh:1:snp:7099e2ea53ccbe8a2cc89b3ef84e8d21cd6256ae
38639,https://github.com/cran/fdaoutlier,swh:1:snp:8a38417f9359d52844155633583ce3687791d39d
38833,https://github.com/cran/MultipleBubbles,swh:1:snp:088a04829390e71817c93f57d723d9fb667a3819
39014,https://github.com/cran/forestError,swh:1:snp:727b4982d51ea50360e651d066c34403e27a5bb6
39385,https://github.com/cran/TreatmentSelection,swh:1:snp:2ac50376fa53ae2f2e954d3916f77a7bdc5fb516
39564,https://github.com/cran/grapesAgri1,swh:1:snp:1cded86347deded6d776aebed259e5473b973b0d
39565,https://github.com/cran/PairedData,swh:1:snp:3a95b91071e7dd31a74171cedcbda9251889d715
39758,https://github.com/cran/ExtMallows,swh:1:snp:185f3358ba0fe3d620da6856b3776a9955ec0e00
40513,https://github.com/cran/secure,swh:1:snp:ea101cf994ac1e6505d0af6af628e1e565af47a4
44858,https://github.com/cran/rchallenge,swh:1:snp:3f3ae54dbc24605a0fb6faf9b001026d190601aa
44386,https://github.com/cran/bigtime,swh:1:snp:bbf2fb138ff9913a8a9605759567f1b63d8b64e9
44220,https://github.com/cran/BayesianGLasso,swh:1:snp:6068b178c339b70207670c13e18cf07db2b47c14
43853,https://github.com/cran/rmi,swh:1:snp:11ceb00b9c72cf70227e97fc7710aef5eedc5ec8
43540,https://github.com/cran/valhallr,swh:1:snp:d817db2eed6f20fe48f4efd9630ed5343be03e51
43261,https://github.com/cran/elhmc,swh:1:snp:37cd94c710b12383aa43bdd7eb9717dbfe0bbc76
42949,https://github.com/cran/psda,swh:1:snp:251bc6ec05780052efbed3d7e2363fa9a92264cc
42945,https://github.com/cran/CVglasso,swh:1:snp:0a2717153f7affd2271761c07d14f85fad68c381
42225,https://github.com/cran/gren,swh:1:snp:3dd29468c53c3042296899d5c9d7028a5a3874f6
41296,https://github.com/cran/cta,swh:1:snp:77687405b411df2f4bb1bba1f42cf0da8ff9cee8
41214,https://github.com/cran/TOHM,swh:1:snp:9b2ba7d8d2f416a2f34a2d5d72dc1512ce681962
41028,https://github.com/cran/distributionsrd,swh:1:snp:d6c0efa50e5ad60999b6ffa3cee94dff50047973
40909,https://github.com/cran/stochvolTMB,swh:1:snp:62c816457ce3014e7bc070f88f0a4999859b2adc
40866,https://github.com/cran/BDP2,swh:1:snp:b3f43cf094c313a6ffcd4e414834e1330d7b1d4a
46035,https://github.com/cran/HellCor,swh:1:snp:7a4175d11ded888749f230efd33cc86248a93820
46400,https://github.com/cran/spef,swh:1:snp:ed3a02cf9875226f6d2bed8eb53287911da4f336
4375,https://github.com/cran/mvna,swh:1:snp:47fbde6980493d2221823110ef60e128dacbebe0
6073,https://github.com/cran/sda,swh:1:snp:815c99f6ad20e9aff3205323982b4862f0ec82b6
9174,https://github.com/cran/coxrobust,swh:1:snp:e54c5a53e4a16dbf51a30f8ff6154320b593eadb
11087,https://github.com/cran/DCL,swh:1:snp:ee11184e6a8b74515ea856e3bd27acda5488d861
11110,https://github.com/cran/wbs,swh:1:snp:73b2a4e71f5a422bb29dba81513eab005bae20d7
11199,https://github.com/cran/HAC,swh:1:snp:7b5f7e6074ff22a0f3b78af3b052aa800115ad52
11205,https://github.com/cran/idr,swh:1:snp:e8906789b0be3ba0663d46da33f36ea46c2cfd96
11213,https://github.com/cran/leapp,swh:1:snp:a64d67421ad463f59492ac8a25b6de73200bf58f
11288,https://github.com/cran/MVA,swh:1:snp:924e19bacc68fff18be96f6e39be4fe2e103339e
12204,https://github.com/cran/IQCC,swh:1:snp:d1f57fdaf437e06eec8e468f80441ff4b9c58523
14467,https://github.com/cran/bayesPop,swh:1:snp:5b75a6502f5303a5f1c2eca1a826f6c70ab32299
14580,https://github.com/cran/plumbr,swh:1:snp:754538ac85eb69070f048dba8339e881e4e49750
15595,https://github.com/cran/sigora,swh:1:snp:6fef15b9d0f21735a2698e084f160ab2fe53d999
15596,https://github.com/cran/rnoaa,swh:1:snp:99212f96b0a0e25fd8923dbda953ffddbc46f515
15611,https://github.com/cran/InspectChangepoint,swh:1:snp:cb63f7dc5168cd2fbf2e86ca8c55162e50c4489c
15693,https://github.com/cran/meta4diag,swh:1:snp:5e3af94704a55711a108664465e40e40203962bd
15868,https://github.com/cran/DNAtools,swh:1:snp:fbcab43b228874359254586d5f1c660276fac749
16097,https://github.com/cran/AhoCorasickTrie,swh:1:snp:f1bc41e853c620810b34821770a84ae78d643f56
16130,https://github.com/cran/BANOVA,swh:1:snp:c4c73a55f282f748ffa8b62cfe6c62212dcdacd7
16327,https://github.com/cran/pgnorm,swh:1:snp:c4f72b2adb80e9edd2856a9c6a2df73f5bfb373a
16399,https://github.com/cran/decompr,swh:1:snp:ef151dffd99a6be16d878663fb6d0bb904489ae7
17551,https://github.com/cran/isdparser,swh:1:snp:5cfc5cd3001e550b7efb0cf4fbd808af6c50a90d
17782,https://github.com/cran/bytescircle,swh:1:snp:7cfb436909422eb9f720e02e124f52f9e60dae0f
18438,https://github.com/cran/dfphase1,swh:1:snp:f6ea16c74ba7ac59626b0ba746a7420f07da371e
19674,https://github.com/cran/reportROC,swh:1:snp:75c0c2f336b396a700caf2e78fe1b459eca16e31
19700,https://github.com/cran/AHMbook,swh:1:snp:b6acd2ed71319be2f0e3374d9d8960a8b04e21bf
20721,https://github.com/cran/boostmtree,swh:1:snp:341d83fdf088d162e6dfedea09508ca55939f5e3
21016,https://github.com/cran/GillespieSSA,swh:1:snp:f3845cb9d26c932549baffc3c3d0216e0a974711
21488,https://github.com/cran/Copula.Markov,swh:1:snp:28923cdffa68a2ea69b02007080204bf5f02878b
23055,https://github.com/cran/trustOptim,swh:1:snp:99bfa8b14c19416bfddd9a6ecbd50ae14d6331f8
23543,https://github.com/cran/wpp2012,swh:1:snp:4c0314e83d1406c05d1263c3607ec0d82f18cf22
24101,https://github.com/cran/mfp,swh:1:snp:792bfcf6a5ecdd3bdfe8d6c7fbf6f0ac92b397d0
24549,https://github.com/cran/st,swh:1:snp:a6fb4f4d5b6b6b77bc9a82fe1932e763515fcc26
25361,https://github.com/cran/aspect,swh:1:snp:bb544c09e2ea36d1ef5ee951840be23b8e9ad1d6
26128,https://github.com/cran/libstableR,swh:1:snp:8214d7c94f1a02190f523d2c0589bc81566fa167
26404,https://github.com/cran/matpow,swh:1:snp:5ea4739553d331fc8c22bb043e3c11a2d34fbbc8
27174,https://github.com/cran/trimr,swh:1:snp:1a5f4f5c88a9ac1b5bd1b1f4ae3cb3f927ed6da4
27437,https://github.com/cran/simputation,swh:1:snp:7df9f5c303f18462c68faf198f3efc529138d5a1
28812,https://github.com/cran/hdme,swh:1:snp:1d283c5bb1321cf4611219cf53856de9599f17b1
28949,https://github.com/cran/qicharts2,swh:1:snp:ced6f180f06a20691a3d0911ca41aace4342b722
29263,https://github.com/cran/personalized,swh:1:snp:67e51ab3e197a75eff979253cbeec6dee29ee27d
30055,https://github.com/cran/bsamGP,swh:1:snp:ed52b508d20ca806f2878c208f64dd76aae98ce9
30113,https://github.com/cran/ncf,swh:1:snp:b9e79b63d127810b4c727e11d6652ce55920ef84
30911,https://github.com/cran/rnassqs,swh:1:snp:0f0392f8c0ece58a701d56747e40b3ce531b0bb8
31449,https://github.com/cran/spNNGP,swh:1:snp:14d311aed7b63d9fb4a6fbd23438b6681a33ddbf
31518,https://github.com/cran/kdensity,swh:1:snp:d61481cc92a2fa707261d0990d7cc48cc795419d
31535,https://github.com/cran/univariateML,swh:1:snp:2cd838d9ba08ccf6b7233ca9b7f97aa5fc0d899d
31554,https://github.com/cran/jarbes,swh:1:snp:f5a077316096009284c677fc7d2e6a4ffaa717d7
32473,https://github.com/cran/ROCnReg,swh:1:snp:81d22676422a87d146e094b2092a0d0db2203d55
32634,https://github.com/cran/HUM,swh:1:snp:50858749cff9820b716cd58283d7e2415836b6d3
32636,https://github.com/cran/ALDqr,swh:1:snp:7c42da1403e02291ab9b91adac459d793d1cace9
33011,https://github.com/cran/Rdimtools,swh:1:snp:c6d4508734dcacd1b2b930fc9ff3297ec29a7181
33012,https://github.com/cran/dyndimred,swh:1:snp:bf0f988471484453617400225a07a862eeaac558
33257,https://github.com/cran/RJSplot,swh:1:snp:fe8cf84ff46d3d9b12c9179f94291025fa648f4b
34394,https://github.com/cran/flux,swh:1:snp:61651b39bbf1973f5e983cba69ddaae4c20250ab
35612,https://github.com/cran/kpodclustr,swh:1:snp:c36ac6bc15cdb2e1531dffe048a51f7ecc86efc3
35695,https://github.com/cran/rater,swh:1:snp:e60f1b9b99e2a1198790c251fd9ee717081ca280
36260,https://github.com/cran/zalpha,swh:1:snp:9757e351f2c905cc287f51c9c2980f39ad06f530
36335,https://github.com/cran/ARCokrig,swh:1:snp:4b18e390a53d497dfbd7e9b75d745814c9904373
36350,https://github.com/cran/GenBinomApps,swh:1:snp:e6b45f777136c21212c08fd8fb5e4926b8a4245f
36719,https://github.com/cran/HLSM,swh:1:snp:18da6ce1c2b89eb5fe7a89109b0f0fcb2cf44abe
36879,https://github.com/cran/FLAME,swh:1:snp:9162f9eea1a812812b69376ba4d28ef8a6795537
37139,https://github.com/cran/mecor,swh:1:snp:a1d91114ebe221a42d4ed3d66cb47c398b3f4ac5
37185,https://github.com/cran/merDeriv,swh:1:snp:73c60b2f5c2043ee394bfbcad21514dfecad2f01
37336,https://github.com/cran/rdlocrand,swh:1:snp:30e58741919e2e56d98e0abdd4dd9a3cfc48e385
37338,https://github.com/cran/rdpower,swh:1:snp:d25e272cf23c373ad9e4e4958d6a03769cb5613f
37719,https://github.com/cran/rgugik,swh:1:snp:93adaa712090b5e94a92cc24965ed5c96428f57c
38140,https://github.com/cran/presize,swh:1:snp:90e9b6990933440e515f1bffdb2a8c5b88dd4035
38593,https://github.com/cran/dataquieR,swh:1:snp:e932254f2955c8814e0dd6123fb1e67469e66689
39012,https://github.com/cran/stratifyR,swh:1:snp:f52c913a066e90c3e9310a8ed6622e9687b9ff87
39625,https://github.com/cran/bbsBayes,swh:1:snp:47df6efcc19ac68c8d07b27c0a83db0557bfc65e
39960,https://github.com/cran/tframe,swh:1:snp:431b7ff2e4deb9b51d362c5671872c1af8d9bb0b
40060,https://github.com/cran/hhsmm,swh:1:snp:ec7ddd5289a444ec709c9900e1e87d60844276ca
40200,https://github.com/cran/IncDTW,swh:1:snp:51ef73d6c684a735aa352297885f2b632c7e3cce
40240,https://github.com/cran/Praznik,swh:1:snp:135ab280bc4491073e73647a8f48a40ad018647f
40261,https://github.com/cran/hetGP,swh:1:snp:5e3818436910b29cbab35de199f29bf0f3fa68ea
40512,https://github.com/cran/rrpack,swh:1:snp:55300e516beb7884eab67fc207d655079880993e
40643,https://github.com/cran/Temporal,swh:1:snp:0b9d0a6d3269dd8df25e05ee716d4d5d63ba7d78
44970,https://github.com/cran/pollen,swh:1:snp:5c9086a189597bf4b060206c1e9398485f802cb0
44867,https://github.com/cran/otsfeatures,swh:1:snp:badd2bc56e6f9ae972e20f002c5a70764c975088
44635,https://github.com/cran/cito,swh:1:snp:86f0682842804e94df72ddf9a907878d56ac80f7
44523,https://github.com/cran/NCC,swh:1:snp:d0ee1f8870ea2694117fc95702fdb3651cacca92
44472,https://github.com/cran/logitr,swh:1:snp:070b5c540f3998995334115a3b4591eaf0c2bb96
44376,https://github.com/cran/success,swh:1:snp:8ccc2bbbecfc12ef8636089cb9ef8e7e57e5a556
44375,https://github.com/cran/SelectionBias,swh:1:snp:e99497b871d240c5acece34bd72ddc1b5952217d
44298,https://github.com/cran/conquer,swh:1:snp:3ced1185d90e462df611682e72e0c345992f492b
44067,https://github.com/cran/gesso,swh:1:snp:62fe0ab46185d9f245cbe73714b7960ba21145b1
43871,https://github.com/cran/tramvs,swh:1:snp:f9c734d2e97bf78b4fce31ac8ef1eeb9c7d70b95
43057,https://github.com/cran/tframePlus,swh:1:snp:a79705d62d3045dc7c002c9932af30a8803d165b
42800,https://github.com/cran/ClusPred,swh:1:snp:26cda47de6466c489def66bed623754197449333
42639,https://github.com/cran/FourWayHMM,swh:1:snp:f339002fe0d25d690862f4bfe440e40b11b78536
42604,https://github.com/cran/Splinets,swh:1:snp:a3677cece83730e5b4e3c4e1641211f67fa95236
42221,https://github.com/cran/ecpc,swh:1:snp:3ff7778261c55781142d85347e1689ffdbef8f3f
41623,https://github.com/cran/sphereplot,swh:1:snp:29983eb4dbb097c68109708b4cbd5b2130387373
41274,https://github.com/cran/skynet,swh:1:snp:a244d3c8ccca447846bd09408aed554957eddf7e
40840,https://github.com/cran/BayesCTDesign,swh:1:snp:3468a00cce80d372a883442447247c4f79baa59a
46327,https://github.com/cran/mlr3hyperband,swh:1:snp:6ce5524642e6d2b5a905b0651bfa00c56445e4b8
45818,https://github.com/cran/ARpLMEC,swh:1:snp:43628e732b582003cb871ad16de408e02bc6b15f
46866,https://github.com/cran/MNARclust,swh:1:snp:ea6e241520bde0aaa67438f68dab62e41354a2e2
45833,https://github.com/cran/FactorCopula,swh:1:snp:3378c793a7f3c9bc357c90bd8667994b1f6b42b1
6357,https://github.com/cran/Linkcomm,swh:1:snp:80dc885455271ccab7957bf779bb0cd71d68687b
7674,https://github.com/cran/acopula,swh:1:snp:33c605ccf9758ddf3824387435d961369f6ebeaf
11003,https://github.com/cran/aplore3,swh:1:snp:4886ed75343175bd4cbe79b1195cb2586b9b7d46
11217,https://github.com/cran/lpc,swh:1:snp:7fe915daab05c00af897c3dfd57323383837d503
11398,https://github.com/cran/scrime,swh:1:snp:4bdc7e989ba9e648d004ca47cd2d10bb5e78a717
12270,https://github.com/cran/spcadjust,swh:1:snp:3ad36af53c3eb6c0541f81656445177f3ea67b78
12457,https://github.com/cran/weightedScores,swh:1:snp:29db996cbcbbae5af831196e82049a937811b78d
15356,https://github.com/cran/ARCensReg,swh:1:snp:d96577cbacccce681d7c7f67422a65a34277366e
15421,https://github.com/cran/IATscores,swh:1:snp:162e310a4b62472d48195d0ed19dcb3fcfea8b1e
15505,https://github.com/cran/fuzzyforest,swh:1:snp:60e88fcbbc682f53bb1021872e7661d340522e96
15558,https://github.com/cran/pearson7,swh:1:snp:8a46feb0516ed7784e244395db162901445a67ad
15743,https://github.com/cran/idem,swh:1:snp:ee65d5198d82a10d2757461adcfad05532170740
16014,https://github.com/cran/sirad,swh:1:snp:7816dcc4a810738aadd6ba0e0f1873a256894b24
16058,https://github.com/cran/PortfolioEffectEstim,swh:1:snp:577086a2d5e858caa0258f6a2c4e27afa9bea286
16078,https://github.com/cran/energyr,swh:1:snp:10572470399ccca3ac8d666f3d4d29dfbeb29663
16154,https://github.com/cran/imputeTestbench,swh:1:snp:42ce5f35fc04a6aea478b856311277504f9454b5
16381,https://github.com/cran/iemisctext,swh:1:snp:92c3a1548f4cafde5c91e65f37f4b888f05fa64b
16426,https://github.com/cran/kamila,swh:1:snp:2a685f22b156c92533aad6b6c8c051cb82c1357c
16428,https://github.com/cran/clusterPower,swh:1:snp:68dbebd9970ae062e79fe84c55eb66888c4cc26d
16508,https://github.com/cran/supervisedPRIM,swh:1:snp:805b7bc390d993bde631faf7b6d2568f456f2181
16567,https://github.com/cran/joinXL,swh:1:snp:0e8d5c4ca8557140e21db015d7ce6659ba7042f7
16603,https://github.com/cran/qfasar,swh:1:snp:ad7e293c2fe00586668eb71b6d5216d32ff26305
16664,https://github.com/cran/AquaEnv,swh:1:snp:c0b34101fb7fbebdfa718e60cafbf1d7a7341489
16666,https://github.com/cran/FuzzyMCDM,swh:1:snp:3f150c86b013399333ff683f42bb8f9e83e73563
16672,https://github.com/cran/madr,swh:1:snp:210133189f56e00a8402a344db35d2abd7c8724c
16972,https://github.com/cran/flexCWM,swh:1:snp:4cd58e0bb049266c55a3ae56a24f5a490f90249c
17074,https://github.com/cran/QQperm,swh:1:snp:e3fc7e726f1d7cb05e3490267c6392fb454f8a41
17076,https://github.com/cran/valorate,swh:1:snp:fd564908042a6bd9a66b912afa8ec7b7740cffd8
17078,https://github.com/cran/extremogram,swh:1:snp:d5f357ea02164b1cdee4c48de055b974657627f4
17226,https://github.com/cran/ADPclust,swh:1:snp:eb3e272df77f65f7209299fbfb5f5db468dfa411
17231,https://github.com/cran/RSarules,swh:1:snp:1d356636e11725890b60740e8185f3d72cb4c4d3
17399,https://github.com/cran/gym,swh:1:snp:4f35abe6d121b492dd975e4c822ba24d6f006fb7
17413,https://github.com/cran/MHTdiscrete,swh:1:snp:9009a986661d1173306b8c4553bc432a436b9e87
17538,https://github.com/cran/stringb,swh:1:snp:28f1912ec4caad26560b51cf9bd2ff5e5657ea23
17802,https://github.com/cran/ngspatial,swh:1:snp:e040c780c2fd648cf1f4101302db335cc6c41e02
17895,https://github.com/cran/raw,swh:1:snp:d6f8a9fe257ba16d4dc6f19bca1a38e5cec750ac
17907,https://github.com/cran/textreuse,swh:1:snp:a54a3b5c74e734f6a53a71a77430f576028ee949
18175,https://github.com/cran/fdq,swh:1:snp:b924c34b38ce496257f126c33969d9a600a6a152
18177,https://github.com/cran/SemiCompRisks,swh:1:snp:bf0722082108a98bbc116bf71d528667171f786e
18363,https://github.com/cran/Partiallyoverlapping,swh:1:snp:7b771e7506e558727709b9f699b12f653b31881c
18681,https://github.com/cran/BayesS5,swh:1:snp:a0e6b02542a5a7f65b8795e259b158f9636880b2
19182,https://github.com/cran/infoDecompuTE,swh:1:snp:cd4ed6500b6fc3353cb87af1c63f3f400aca3e33
19329,https://github.com/cran/benford.analysis,swh:1:snp:9387a74cb9db005a177d9329bcb854251ad769ab
19378,https://github.com/cran/scalpel,swh:1:snp:f6a2eeca848d9f793810754400de0059ccaa5bda
19444,https://github.com/cran/metacom,swh:1:snp:a8ce84d23474e11eeea475f13151c22e863eef3a
20877,https://github.com/cran/POET,swh:1:snp:d656af3169a7c63fe75cb35208e1f0013b616da9
23268,https://github.com/cran/msBP,swh:1:snp:cd452f56ef06bf07c8c17a921e95633fa1304900
23399,https://github.com/cran/RStorm,swh:1:snp:b4d87f7399a11277310bdf5782d014d50bd438e2
23540,https://github.com/cran/wpp2015,swh:1:snp:82480f4c7de86991b76c64cb2d6d99b64977f427
23552,https://github.com/cran/glmc,swh:1:snp:9f78a018b03371ec2f6485ca85bb157f3ee9aafd
23858,https://github.com/cran/in2extRemes,swh:1:snp:608a1c2f41ad0b592ae915e987180f08756147b4
24011,https://github.com/cran/gromovlab,swh:1:snp:69500bec7fce1af33c982326415b0f19b4e85a68
24020,https://github.com/cran/RMallow,swh:1:snp:35161d21f0a2e9954b1fbb386ff8dd1630f635a2
24180,https://github.com/cran/remote,swh:1:snp:6b9e6b25bd9ef4479562184a662ada820baf3ceb
24731,https://github.com/cran/LLM,swh:1:snp:0e4e30cb22f81f8010aa05f77700a3afaa1ba4a9
25011,https://github.com/cran/condmixt,swh:1:snp:19e0cca868f2022c8ef7f527b0ebe7b51e78fd8f
25308,https://github.com/cran/GANPA,swh:1:snp:41bb7c9a14d1f75dfc6b7fe836b8db131272f5a2
25485,https://github.com/cran/profr,swh:1:snp:375eabf0436056913a3581dae0cb1e7fbe235585
26280,https://github.com/cran/dHSIC,swh:1:snp:263ad632ad2515a8cfec9a9f948ac690611a6ad8
26589,https://github.com/cran/hawkes,swh:1:snp:5eb5df7ebc6c064da662fe995264746a86c0b9c7
26713,https://github.com/cran/betategarch,swh:1:snp:5a824a6965e34370f1e8f3fb0791471d5c6e581d
26760,https://github.com/cran/gammSlice,swh:1:snp:3df772b8ea35db7375615ad0c39e304631650edc
27173,https://github.com/cran/prepdat,swh:1:snp:cbffab054d1f6b745d2bbb1ca30264612ec5227a
27357,https://github.com/cran/moveVis,swh:1:snp:50436e794872b9e5f056c2da18fb1b17575bb3ac
27462,https://github.com/cran/alphaOutlier,swh:1:snp:a5f9ac9ec85628526037873bdf9d5c82a7e87445
27838,https://github.com/cran/RAMpath,swh:1:snp:8a48f5f814df038d18cf274a958d8d2105a002e7
29262,https://github.com/cran/DevTreatRules,swh:1:snp:97540857bf1f0b1581047059cd75db25345b4261
30315,https://github.com/cran/CatDyn,swh:1:snp:ddf80229ccba0f362aee2179faa993310016efe4
31809,https://github.com/cran/forecastML,swh:1:snp:c3546ba03b3c4888ac5f06cebb23f0c479d8b66b
32021,https://github.com/cran/featurefinder,swh:1:snp:842e04793156acab3e06ef497f08ab31436d3450
32068,https://github.com/cran/dMod,swh:1:snp:911209d72a4d837dd736cdb4b20de8e34727379e
32506,https://github.com/cran/ForecastTB,swh:1:snp:eafaad11d49f3ee270560bde3964be5e72660cf6
33923,https://github.com/cran/eNchange,swh:1:snp:698d5288e8860884ab49a969dff275e6c3614cdc
34829,https://github.com/cran/profExtrema,swh:1:snp:bedcc473c5e52659ed58c200f939af77f114a9df
35312,https://github.com/cran/mixSPE,swh:1:snp:dba9d6068c588c145f4c854cdf7ed2a4b8be03da
36141,https://github.com/cran/trelliscopejs,swh:1:snp:1d39c5daec7b74762ba9d67bb131b261156c9cb7
36356,https://github.com/cran/IsoCheck,swh:1:snp:c2c7d0e0925f2abbbb276b346dc928f6fee30194
36604,https://github.com/cran/naivereg,swh:1:snp:5b1a829091c573eb1ea1fc48db28d71ab4f9de37
37519,https://github.com/cran/cgmquantify,swh:1:snp:917182b29f13c96ccee26abe64dfeb033f38a65b
39838,https://github.com/cran/NonNorMvtDist,swh:1:snp:64f18184fbf0b2224b66561670959736dfedb986
40596,https://github.com/cran/fredr,swh:1:snp:f56a4447779edc0bce747313742a417ad0b9b4c9
40639,https://github.com/cran/nprotreg,swh:1:snp:e523066ce42ec16e369f5b518269b3ab7b153d34
43997,https://github.com/cran/parmsurvfit,swh:1:snp:294214cd9f2f5c0bca604c6c7c6246ed359fea7d
43864,https://github.com/cran/ggQC,swh:1:snp:1fdfd346c16b37f668bd8e949ca3c674386e2308
42956,https://github.com/cran/highmean,swh:1:snp:c237e9f638bcd34ad19bdc5e5bb1c55306511d73
42773,https://github.com/cran/onlineCOV,swh:1:snp:c7d898980c7f89d9f7882ae81245435e3297bd62
42637,https://github.com/cran/Stat2Data,swh:1:snp:eccb51efd65d494f1477ea8d8124ff8da0ee343a
42636,https://github.com/cran/BivGeo,swh:1:snp:1f7d32630e7d425a680cff65b359426632594543
42291,https://github.com/cran/semds,swh:1:snp:d423480bd8e3eb876456f3fe51eec636e3b73eba
42173,https://github.com/cran/netcontrol,swh:1:snp:6f9dae419daaeb41319a709ce53a4810159b50ff
42074,https://github.com/cran/pdqr,swh:1:snp:de0b2ebf83581b20a756e687165df495a0b628ee
41808,https://github.com/cran/OptimalRerandExpDesigns,swh:1:snp:a76527dd96e5357ba24c7276b3a15ce81d7be2e1
41306,https://github.com/cran/HighestMedianRules,swh:1:snp:b5aaefe87cd04acdb4fc1bf238a733989642757c
41305,https://github.com/cran/STV,swh:1:snp:41bc3dd7e4dd25257e32ad8991d4bf2fff586a9f
40925,https://github.com/cran/networktree,swh:1:snp:87d24fe192732f6b9e6217b0c12ebfce36a7404d
40874,https://github.com/cran/hctrial,swh:1:snp:aa244a918511af858fb588794c6f115c13a1f8a6
40870,https://github.com/cran/tsdf,swh:1:snp:85c58e56b673c4a193ea9eb65d92ac40d650b459
40699,https://github.com/cran/USP,swh:1:snp:41bd2c3a43a6b635971ea79395ef48c2786d3b96
45563,https://github.com/cran/sdafilter,swh:1:snp:1732b0ec975897cbfe8c2660a35b59ebee517695
46065,https://github.com/cran/NlinTS,swh:1:snp:bb6b03e612bd5f7c6aa636603886d75eb6c692be
3046,https://github.com/cran/TOPSIS,swh:1:snp:dca5b2f883f0b37d61446896666fcf1e9bb635d2
4477,https://github.com/cran/HydroMe,swh:1:snp:282418dad34edb18d2493dfd00a5362fe767b1ae
7437,https://github.com/cran/popReconstruct,swh:1:snp:eea4dad072cefaddda0c9d0bb315071356f18eb5
8164,https://github.com/cran/FindIt,swh:1:snp:678e0bbaf186fbb17d55a9f59ea8f447cb82aae0
8180,https://github.com/cran/CircNNTSR,swh:1:snp:9a3d800f074604d9ee4097c4d20a0cc0c71cc44d
8604,https://github.com/cran/regsubseq,swh:1:snp:d864a779617d405a2a8f8135f55b548a2883b76e
10536,https://github.com/cran/BACCO,swh:1:snp:82b2de9cd28d9505e80bf1477a899f5e37112a0f
10997,https://github.com/cran/acss,swh:1:snp:edc8af62ea17314ee661db6f1d9da478aaa908fd
11114,https://github.com/cran/HDclassif,swh:1:snp:359be9e91c315d5787c5238c8a1bb804c32f4102
11290,https://github.com/cran/mvShapiroTest,swh:1:snp:0551e8e47bb464e9af3cb64b9f833a41e313f370
11345,https://github.com/cran/OptHedging,swh:1:snp:0e24d5305893dacbcda37887e9defcb05cc77a17
11725,https://github.com/cran/sbioPN,swh:1:snp:6844ca292b43a1b7099fdd19b5d51b596eae6893
11726,https://github.com/cran/SciViews,swh:1:snp:0249bed6c8e53dedab3c3624646b580f72b0eca2
12173,https://github.com/cran/seqmon,swh:1:snp:c1be0f1258955035abb2365af667f6ecdccb624a
15122,https://github.com/cran/SimplicialCubature,swh:1:snp:920f6b34564030c01084b4ea032f1ad298700db7
15286,https://github.com/cran/KoulMde,swh:1:snp:dd7efcdcce1649b1f5404aba0710cf630c9680ae
15360,https://github.com/cran/SCEPtERbinary,swh:1:snp:3e7cedc63592f24b70aa1eda1b2c42c59f87bb58
15553,https://github.com/cran/TUWmodel,swh:1:snp:2b9c3670e3d8481b352ab201b71dc90b1c53b9de
15865,https://github.com/cran/TANDEM,swh:1:snp:fdb72daf3b2ec127c60216611e4a238a01c893c5
15901,https://github.com/cran/KSD,swh:1:snp:d77590f9f1c518abaeb920355f90f46875033cb3
15947,https://github.com/cran/tranSurv,swh:1:snp:0098b18540d001015ee74dcf0043f2cb6b6c1612
15989,https://github.com/cran/cpca,swh:1:snp:9daf56f198326777d9537fff7cbfc6be288a77d8
16007,https://github.com/cran/AssocTests,swh:1:snp:31ac4624c1bdd517a97fd5381f846c144b7ad691
16089,https://github.com/cran/humidity,swh:1:snp:b8270bb0e22110fb7527c0e3619588d321eb2770
16144,https://github.com/cran/lrgs,swh:1:snp:e20b2e3db15d75f804de270ddef311d2f7ecc795
16155,https://github.com/cran/OptimalDesign,swh:1:snp:c6ebd669045f8fee81528b806d676d80d6bdaff6
16290,https://github.com/cran/bsam,swh:1:snp:aa5e9c8d29525d06aa2d92f874c030d334ff04c3
16564,https://github.com/cran/elementR,swh:1:snp:e13d380e60d26c49016ad344c92375579b7431af
16693,https://github.com/cran/rminer,swh:1:snp:57f0ff2894ddc1fc2f045c532056f1881a2578a7
16699,https://github.com/cran/statcomp,swh:1:snp:61ab704a6a6c5adeae97f353e01ac565f5fcf591
16977,https://github.com/cran/KernSmoothIRT,swh:1:snp:9469741a18b32c04b863c121d6c67da5e4199575
17216,https://github.com/cran/rhoR,swh:1:snp:1469bb678c93a692358febfd31f89ad6c5a6d307
17930,https://github.com/cran/CompareCausalNetworks,swh:1:snp:a14d6a5f82418bed5f004b6aaf4659eaf3dd3d55
17967,https://github.com/cran/leiv,swh:1:snp:2ed637e3a89a0e6701d397a6b6865349b25b2045
18455,https://github.com/cran/epidata,swh:1:snp:98eeb29b46604426169bba14a43dab364732f029
19049,https://github.com/cran/frailtyHL,swh:1:snp:b42799a4c35f936b4369f15d9dd8f51ed436be25
19922,https://github.com/cran/globalOptTests,swh:1:snp:861cf8e60df540e6503a6aa8797081d24401f5cf
20729,https://github.com/cran/d3Network,swh:1:snp:fa9dca576a6f64e70bcd1dc74bdcbd6672c3919b
22043,https://github.com/cran/ss3sim,swh:1:snp:33467748ca9ef9da03e5fc572cdfc02f083c5896
22350,https://github.com/cran/BVSNLP,swh:1:snp:cc273df2ca5d7d20beeeb6092ad63e6524a1571a
23057,https://github.com/cran/jmcm,swh:1:snp:8e45e462c2cc9dd4e9851cbbbcbead2706e0850b
23277,https://github.com/cran/tscount,swh:1:snp:826b5c77cf3940cf075968146f8e064a3ac3bf2d
23424,https://github.com/cran/qualCI,swh:1:snp:375880f5a4c2562d68a745cb75e73d20fe96b956
23428,https://github.com/cran/InvariantCausalPrediction,swh:1:snp:60534051e647193428d9b5ab0720e699fefb24d1
23837,https://github.com/cran/mvProbit,swh:1:snp:b04eec2e7e2065d26c7221961af17a207a3e336a
24057,https://github.com/cran/GMCM,swh:1:snp:457b0aabb21ae08d7df2070605181cbcd931fe43
24366,https://github.com/cran/SASmixed,swh:1:snp:6feb6a635125e02e9804c9e7c3a4ce3840303c98
25013,https://github.com/cran/EpiDynamics,swh:1:snp:54fdc7e41e73493e8d9a18d55d836c5d188704ff
25727,https://github.com/cran/insuranceData,swh:1:snp:81c9b636d3cd0220d64a76e2519f90b2fe46b249
25859,https://github.com/cran/bio.infer,swh:1:snp:29b252af9e3bb2a301256c9850e1afbae5e55fef
26031,https://github.com/cran/fontcm,swh:1:snp:cdb99ffb31de7ed2499a0c0e0c6c363a227542c2
26271,https://github.com/cran/BASS,swh:1:snp:4b808915cf6aa0924134455bf60ae5fecefe9269
26932,https://github.com/cran/spGARCH,swh:1:snp:ba3278b6bcdb7f163963265f7417c157bbea0504
27005,https://github.com/cran/truncSP,swh:1:snp:7877cc338912952799413f2ff70660b2d261fe49
27386,https://github.com/cran/SimilarityMeasures,swh:1:snp:8d173ee9a1ead2b17a3a4efaa19fb13bea8e8477
27458,https://github.com/cran/faoutlier,swh:1:snp:2fed42037642a1937c88cc3f8f2c15fa759de930
27828,https://github.com/cran/bssn,swh:1:snp:f3eae1e6b609d16a825f6f546ffb87966096fade
28073,https://github.com/cran/SMMA,swh:1:snp:ca5e69c764ec57bc92b1efdd7a376c03b3df8ad4
28091,https://github.com/cran/RWiener,swh:1:snp:12ec69e5609d6a4d7260a02ad3ee80caf63c3167
28355,https://github.com/cran/ohtadstats,swh:1:snp:8caf590127561f0b1eb4be9ed543438543d2f6fa
29637,https://github.com/cran/double.truncation,swh:1:snp:c16803cd9bf06c88bb3bb903de56e0e028859b54
30058,https://github.com/cran/DClusterm,swh:1:snp:d7d6c15687fdb27f84bbb8b2b33d5230e1d48852
30833,https://github.com/cran/nprobust,swh:1:snp:880f5d5b7901d3b17b5d2d28d36205eb99f8c718
30900,https://github.com/cran/shapper,swh:1:snp:983faa88eb35042452334a1b21e8587becb79002
31073,https://github.com/cran/evidenceFactors,swh:1:snp:92d8fe58a42f56540ef4fe4eef1cf7a7ba405927
31168,https://github.com/cran/qMRI,swh:1:snp:421be69256872b89d13bd14d1f063de393bba47e
31334,https://github.com/cran/wally,swh:1:snp:370aef3bfc3845b6c45a230ee07fe430377e05ef
31555,https://github.com/cran/FarmTest,swh:1:snp:37324eb07cc157db42107752752bfb264487e631
32420,https://github.com/cran/NCSCopula,swh:1:snp:99d61eee68457c148c8cf3b40cb7786c6ab0b57b
32546,https://github.com/cran/ICcforest,swh:1:snp:aa75a11f9b276b7dcbdca1c79cf280126860e6e7
32652,https://github.com/cran/growthrate,swh:1:snp:4f687d91d10381b880d2e80210d5f2953c2a45fc
32873,https://github.com/cran/DTDA.cif,swh:1:snp:3fca0d6b4f722ca396f316e65e4c138c65ff4b76
33153,https://github.com/cran/propOverlap,swh:1:snp:61b9f8946e43a3da65ee359a8ba1d11fd16ddb7b
33241,https://github.com/cran/JSM,swh:1:snp:ef4466c252b4cf34a486370dafdeb2a527162524
33914,https://github.com/cran/IOHexperimenter,swh:1:snp:7be0d523628ec8b99e77e94b936361e27f6b519f
35064,https://github.com/cran/FuncNN,swh:1:snp:94a16426d70f50f516728b4ca7d2b493f2d58d71
35155,https://github.com/cran/MQMF,swh:1:snp:68bd79f9f6dd2a1bbf24f2b49b91e647c8421c4a
35209,https://github.com/cran/vivo,swh:1:snp:a46d9cf809c2afad1eee6598db3d1fe12d881a2e
35363,https://github.com/cran/sur,swh:1:snp:23fb12f03ea816e80e0b2fd0a1491f2ca81218dd
36263,https://github.com/cran/c212,swh:1:snp:55e94a7be655489d9013434c07cd099785768d3c
36702,https://github.com/cran/colorscience,swh:1:snp:d7c51c7f8bb41591725436ff5cd2594f4124762b
36870,https://github.com/cran/mirtjml,swh:1:snp:621957eab7c6cd22e5467797e0076911f09f5020
38063,https://github.com/cran/imagefx,swh:1:snp:5866dba6e22eb19eccf37bfdd0c74d6f51d94080
38664,https://github.com/cran/RcppDL,swh:1:snp:1f64ee0814eb8c6581db22a5a2b4ae6ea0737597
38789,https://github.com/cran/thief,swh:1:snp:30a1a8d8d0d162af04c480f619917b890ad16b3a
40223,https://github.com/cran/dtangle,swh:1:snp:9d996b8910642f6e27382fe4ca699cab1f305d8f
44239,https://github.com/cran/GSelection,swh:1:snp:2b9d408a9e174060249ecb13e8e4ff0931f0ddda
43577,https://github.com/cran/ivitr,swh:1:snp:ae438aeb16bc498713a2bd01445467a08c5b5afc
42350,https://github.com/cran/OutrankingTools,swh:1:snp:848cbe95fe7d900b5bcc6f4ee636ff3590ae79dc
42289,https://github.com/cran/fastpseudo,swh:1:snp:4b849d34f12ea6c8841bc5db02b79f76628392c4
41924,https://github.com/cran/PredictionR,swh:1:snp:fc562a59e7f57281f90c05f350525dfb715146ec
41580,https://github.com/cran/cvmgof,swh:1:snp:60a4a86301b8ebea94f2e0fdb09d4c7f45f4b20b
41570,https://github.com/cran/ECoL,swh:1:snp:e8ea89ffd4ccede24562a3764ab0126d9f689ba4
41345,https://github.com/cran/astrodatR,swh:1:snp:5c73801dad3034d92770de81c92244567cfff34c
40996,https://github.com/cran/penMSM,swh:1:snp:c6b59f1ee3a4bb6ea1f1a29a5829f2e6147da3b5
40813,https://github.com/cran/ed50simulation,swh:1:snp:30e267e941cd2df19d8b58f74001e5ab7333b827
40792,https://github.com/cran/rvmethod,swh:1:snp:5b44fcf9c370d119d43abbc96b75b7fcb59c9802
45480,https://github.com/cran/multigroup,swh:1:snp:1bc148965caa412353bd1e40e8546a7b82308953
46715,https://github.com/cran/ExtremeRisks,swh:1:snp:bdaa35f93b284acd1d3aeae945ffb5d3de206ec9
46023,https://github.com/cran/growthmodels,swh:1:snp:4140464c0d457a8bdbed1ae3cbb845077c384c95
4558,https://github.com/cran/rattle,swh:1:snp:8fc67846c6dac6c282e905fe87ff38f0694056da
6076,https://github.com/cran/season,swh:1:snp:551ddcbda4a8dc417e0b8b6c021fccaec81685ea
6085,https://github.com/cran/BaM,swh:1:snp:ca832e5dd3fddc64aac6e5f5a9c2c6a60961c7c1
6779,https://github.com/cran/flip,swh:1:snp:dea0f6ea972a5a0f1d43d3bf848958b1539cb444
7950,https://github.com/cran/teigen,swh:1:snp:cd592dc3d0d228f80d7d462aac9a20dd865f35b4
8136,https://github.com/cran/REQS,swh:1:snp:e827f7712a169791b8ca6988bd3b5011ae23d83b
10544,https://github.com/cran/Glmulti,swh:1:snp:27daefcd3543306b519d27d1f340ffacd02b70b5
11023,https://github.com/cran/bvarsv,swh:1:snp:5daa6f20b70a17437feb0717824f8678f691f182
11053,https://github.com/cran/kohonen,swh:1:snp:f3de153cccab06ae203f41baaaaf00ba588d750b
11069,https://github.com/cran/chemCal,swh:1:snp:99864dfc3136dba33a1884c38612db870ac71fc5
11088,https://github.com/cran/decon,swh:1:snp:2ce4105fd7432e22fb072406700f2b0f4d3beecc
11108,https://github.com/cran/cherry,swh:1:snp:0e7a82e46c311665720bbb1328d7c8fe9702b7a2
11118,https://github.com/cran/someMTP,swh:1:snp:2d73be801d3a63438fadd180a51630014566f32d
11123,https://github.com/cran/FAMT,swh:1:snp:f305384681374cf27679bb4a56290f26f71d81d9
11733,https://github.com/cran/HMM,swh:1:snp:fcb2a688798cf76549570d131590badd58d0566f
11735,https://github.com/cran/hmm.discnp,swh:1:snp:88942124fca13d158ec445bb3b16b0edb88c3c8e
12208,https://github.com/cran/sld,swh:1:snp:1586f8aa6a06f37d506a3b42b614fcce0442746c
14013,https://github.com/cran/sgof,swh:1:snp:8a42ca9a426b48b3f3d6d81ae6659433eb55a2c4
14229,https://github.com/cran/disclap,swh:1:snp:7c098eaa61093e3faba70ead764452e87ec17bf1
14230,https://github.com/cran/disclapmix,swh:1:snp:81ba759db2ce9c5ff360cad063daca10ea18a511
14564,https://github.com/cran/sperrorest,swh:1:snp:75700bd7da78449c5e5d25ac44d836a1a2600f40
14569,https://github.com/cran/cpm,swh:1:snp:266a16722eed8ecdc112a375a4b12cf8d6ccb6f8
14575,https://github.com/cran/Ecdat,swh:1:snp:7edd25a3cd5d07a54946a0923428de073b7bbd7a
14770,https://github.com/cran/GPFDA,swh:1:snp:b9106627b8dfa8bfe8d1c29f9c3a2312bdfc453c
15387,https://github.com/cran/mvnormtest,swh:1:snp:8d4852d8f1a0a9dfa2903e14b998ebf9b479a018
15388,https://github.com/cran/BatchJobs,swh:1:snp:d22b2db5de2d1fdd26576dab9a3ddd75ba142bf5
15389,https://github.com/cran/BatchExperiments,swh:1:snp:e48d5a4834e690fb8118b0fed127d2c4bdb06d85
15561,https://github.com/cran/DRaWR,swh:1:snp:e5f118325a567027c2c5609cad2ef1c3737e4716
15590,https://github.com/cran/cocor,swh:1:snp:9bbaaa26617e06a1c6a6271b27f7a49ba059f4f1
15823,https://github.com/cran/FDboost,swh:1:snp:e074733cc46fd68ca3fd8b71de3002e19bb0f492
15829,https://github.com/cran/CITAN,swh:1:snp:032312e0371bead3d7c849b330f18f7342c1c0d3
15889,https://github.com/cran/dtwSat,swh:1:snp:6bcf8ea49d6645381366c2939cbf491515f8e883
15890,https://github.com/cran/ecd,swh:1:snp:b1be437b407e20c34d65bcf7dbee467a9556b4c1
15963,https://github.com/cran/mrMLM,swh:1:snp:3669d30057add160085ddc676a7ba092da0c56f3
16006,https://github.com/cran/TripleR,swh:1:snp:b4890b2e39b31c749bcc198e530089c4c1d228e1
16149,https://github.com/cran/DVHmetrics,swh:1:snp:5668244accbcf2ba712f5d318191f137cac4e930
16162,https://github.com/cran/PMCMR,swh:1:snp:8efa41ce2b5a7859029e86f43ac725bfa0e52af5
16163,https://github.com/cran/gamboostMSM,swh:1:snp:41ae4647df9454b9a881c06478b21890ea657bc0
16276,https://github.com/cran/randomLCA,swh:1:snp:ae969ba8d8b7995abedf32d5043ac1351754fe01
16398,https://github.com/cran/cleangeo,swh:1:snp:f64a180d6dfffad15cd4b0e8c1948d1eee6cc75e
16855,https://github.com/cran/BootPR,swh:1:snp:7934acc1167f3a7ff4ec5ce88b7a29e7a2572097
16862,https://github.com/cran/Smcure,swh:1:snp:ffab44ad5a689cf53ecac922ad8a1c6050b9010c
17100,https://github.com/cran/gpg,swh:1:snp:d1993eb7849757d648b29487ebffda12718cdff5
17240,https://github.com/cran/sos,swh:1:snp:354184d57f4175c3e9abfada5560819f61d82956
17392,https://github.com/cran/oem,swh:1:snp:6e24805563d0dd052692182c7d1b6699d3b136c1
17402,https://github.com/cran/mockery,swh:1:snp:de2d8bf046e7892a76944570ed23b7cf192847c9
17941,https://github.com/cran/rankFD,swh:1:snp:4009d33f6b7d90b92fb4e8da2b62f523c39310cd
18000,https://github.com/cran/gcKrig,swh:1:snp:69c63666718a53d99c9207382fef7616d2022b43
18006,https://github.com/cran/ManlyMix,swh:1:snp:3fc5fea7c2f1476819187adb26a8dac28db47a03
18154,https://github.com/cran/Radviz,swh:1:snp:c489eb6b557e0eaf9f8304ad46ef81e62bd2101e
18359,https://github.com/cran/abjutils,swh:1:snp:735153e20e03f389bcb21eaaec3c9d0e3a4ca2c2
18483,https://github.com/cran/lmfor,swh:1:snp:909b764f196ccee8aa36e63436b85d348db44a03
18747,https://github.com/cran/GSA,swh:1:snp:6afc50cd79249bb0051596d7ef82a2e7513b97af
18769,https://github.com/cran/SignifReg,swh:1:snp:b0fcc7d2260cb9f84747d5e82e418d9c2a6a59d7
18820,https://github.com/cran/LSDinterface,swh:1:snp:2509e6019d1558dcaa814392fc4a7c16b04aced0
18855,https://github.com/cran/DIME,swh:1:snp:5cea66eee25305ed777f7ff9ce364ad7b53987d8
18932,https://github.com/cran/eefAnalytics,swh:1:snp:75892a84840d2b153aab9201c5ef35beee61b1ed
20396,https://github.com/cran/histogram,swh:1:snp:bcfe2e866859ac0cbae8d663e41f307cac0ff099
20816,https://github.com/cran/gRim,swh:1:snp:099e23302a431c81fc9d8fdd01a4668a61610a01
20967,https://github.com/cran/REBayes,swh:1:snp:e2f647fda9894a31093b4390aee555afc6b934cf
21042,https://github.com/cran/sparseFLMM,swh:1:snp:a7e81d59d1c390b08089952db41e90a1abb796ee
24364,https://github.com/cran/PermAlgo,swh:1:snp:2622cc5a8174a7f2a2c42cdeaac53333314fc019
24897,https://github.com/cran/quint,swh:1:snp:26ebd9ac62a0ff6fe59375794c6d4cbb58f61df1
25062,https://github.com/cran/bamdit,swh:1:snp:9d2102a3170e97044980b4c3373946b42c402b52
25477,https://github.com/cran/fso,swh:1:snp:d709b5922bf67bdf41cfb21d94f1182ff876f5bd
25585,https://github.com/cran/pch,swh:1:snp:e43d866c076df3cba050de419a03f6fff8e45c77
26195,https://github.com/cran/Gifi,swh:1:snp:8398c370305f4ba90978e704a59af4e2b210158e
27687,https://github.com/cran/rgabriel,swh:1:snp:7e3cf72dcfa93ba99503948b766d82758cdc281e
27900,https://github.com/cran/dCovTS,swh:1:snp:6ce0f8e714a79a993c1d1944036e1c1694a8f97f
28971,https://github.com/cran/rfigshare,swh:1:snp:cf0188e3edd618810eae7343438d6601a31993d4
29061,https://github.com/cran/eixport,swh:1:snp:b022c36fabc8f3507acc2b672001253938705f60
29175,https://github.com/cran/XBRL,swh:1:snp:90a31f6f57b4c4324c8a0c13a18c83f8802bd505
30134,https://github.com/cran/rateratio.test,swh:1:snp:7d1a4327548867be86a2f80fdb5727003268d48b
31395,https://github.com/cran/stratamatch,swh:1:snp:f46397b22aa2f117a0d075a9395da1858657c23e
31463,https://github.com/cran/opera,swh:1:snp:406b639ad72f3ec41a10ef69c6ba545594b71471
31653,https://github.com/cran/poisson.glm.mix,swh:1:snp:b3fc1706efdf46f8d647844bd60f4c2453189f8f
31734,https://github.com/cran/beyondWhittle,swh:1:snp:eed3dcdf66cfff2e6c8fbd85b5b683b302e623e9
32459,https://github.com/cran/osfr,swh:1:snp:9e8886a5890423c44ac93a7f4a56161447c38b9d
32756,https://github.com/cran/forward,swh:1:snp:7a52c07462afae90c4adc93fba5407984dfff2c6
32919,https://github.com/cran/lpme,swh:1:snp:46f770f41ee24cd85657e6ed93dbadf78cb21906
33155,https://github.com/cran/spcr,swh:1:snp:0f549daffe1c5fd17f5ed899c5153ac9e52328fb
33246,https://github.com/cran/tvReg,swh:1:snp:faf2660e119f95bcad582731b7605150fc226ee1
33578,https://github.com/cran/binr,swh:1:snp:c1cc34ce619c66f7002c2580f1c48aa39cbe85b8
33823,https://github.com/cran/BayesNetBP,swh:1:snp:f4d49c351375a66f6e440ef28f401e2ed419b424
34057,https://github.com/cran/titanic,swh:1:snp:252873c6972014079536529b531dfc99a266177a
35066,https://github.com/cran/walker,swh:1:snp:1ddbb97444fc72218204266d1a14c615415d70f4
35668,https://github.com/cran/GeneralisedCovarianceMeasure,swh:1:snp:7a1f2bb0a2b3a43c4f782debf42e683ba58707f1
36462,https://github.com/cran/comorbidity,swh:1:snp:906b5dba52867ecb875b2d31274b180fdb4d40d0
36471,https://github.com/cran/MOTE,swh:1:snp:56251638f83eb3eb34255baf82500269f74de915
36708,https://github.com/cran/KScorrect,swh:1:snp:53e690affbc8ac0846cb62048a3440cfcf7eab04
37924,https://github.com/cran/NPHMC,swh:1:snp:85c69ef6c92e2b7e585cdc097b2ddf431ae2a800
38299,https://github.com/cran/tpr,swh:1:snp:41212fdea4bbf76d2da19e1de9795a1148cf044f
44972,https://github.com/cran/agroclim,swh:1:snp:0c1acb1f0989740c1f65d33e6ee4ea45693cfc45
43111,https://github.com/cran/cplots,swh:1:snp:a7e9bc80764bc4966589c6a47285156b601ac64d
41971,https://github.com/cran/mazeinda,swh:1:snp:587fe727a3609f03dba44d0376d99fa7ee61f189
41923,https://github.com/cran/jointseg,swh:1:snp:b627672971b73c841c2db44417d1612a3a13b078
41745,https://github.com/cran/seminr,swh:1:snp:c6bbc01c0d9257d5ab3758d1a4e2232ffe17c34a
41335,https://github.com/cran/bentcableAR,swh:1:snp:974169cd74226c4db493ee3fb09cca7229fc4dd2
41304,https://github.com/cran/electoral,swh:1:snp:529d1496a6635ab8c8341a28e2c7367dabe29c0f
46759,https://github.com/cran/adaptsmoFMRI,swh:1:snp:cbf2a7df3a4fea487bb6b5d3b79be20f4a716ab3
4480,https://github.com/cran/NISTnls,swh:1:snp:fce87cd05077faf0799d41031b394c4374a3f6c8
6094,https://github.com/cran/ROptRegTS,swh:1:snp:8dee401431553bdce05f8d83d30e347c6e6eab77
6349,https://github.com/cran/RobRex,swh:1:snp:9a94a176cb296406fc9af2248f36c5e6ed93843a
7441,https://github.com/cran/partDSA,swh:1:snp:6ba5af11a537621b9c41a6dd34ecb425a2ff8939
8836,https://github.com/cran/MPCI,swh:1:snp:29701eedd69da4996ab7bd4ae9f9d06bb6a46b17
10638,https://github.com/cran/QSARdata,swh:1:snp:e443c84f070588e91561a4342448d23d95f557fe
10897,https://github.com/cran/ScreenClean,swh:1:snp:88ae9b85f54883690eb49842466ee7b1352918ae
11008,https://github.com/cran/BayesDA,swh:1:snp:39ad98726a06d94e571eba3cd0eddc85538d627c
11009,https://github.com/cran/bayesQR,swh:1:snp:650a6448353beba9efd3068c70951b1f10776a3f
11070,https://github.com/cran/CHsharp,swh:1:snp:3974434157903e1c6ac1b75641752665c02b7a34
11268,https://github.com/cran/mlmmm,swh:1:snp:9b627131a0348f3fd87ed8e868d170e8bf6625c1
11629,https://github.com/cran/Rmalschains,swh:1:snp:fcc62db7336280c882b70b25500acef4020fa544
11675,https://github.com/cran/Rmediation,swh:1:snp:26225dcda68607b353e3c505963edd6ac7e620fc
12152,https://github.com/cran/seqCBS,swh:1:snp:dbc2077b270314552bf971f9e7d624e5e37e8152
12258,https://github.com/cran/SMCRM,swh:1:snp:ea08f7fbd1e51d329aca52ee0102cdd5559ee0ff
12411,https://github.com/cran/MonoPoly,swh:1:snp:1d2c7a1f01eebec92f00cec122c30a49b92b2c38
12429,https://github.com/cran/WeightedPortTest,swh:1:snp:1e4309dbecf343758a76e9ae59a046018fb491b8
14215,https://github.com/cran/Rtwalk,swh:1:snp:ac365e0b0f1fe161444beb3affe9781976e9ff66
14240,https://github.com/cran/BioMark,swh:1:snp:6cccec93d7ee82dd08c6bc8c04ac6c4e362c30b2
14365,https://github.com/cran/ordinalgmifs,swh:1:snp:7731bcc70dfbb6802870044b1e34bd5f4b18fa89
14566,https://github.com/cran/npmv,swh:1:snp:fc49e5411d21111b75b160b44beafd0bc3c4d869
14821,https://github.com/cran/spinyReg,swh:1:snp:8916a1c06f61801683db26c5383a78e0e3600c69
15234,https://github.com/cran/ecotoxicology,swh:1:snp:b4ec4a2965665bc835b6afbf7cb08f9f0b12400f
15413,https://github.com/cran/allelematch,swh:1:snp:e9fa6f66948b8e7d4c9f68ff84de3987b505b248
15535,https://github.com/cran/TTCA,swh:1:snp:e5bb36d27412210c65b5253ff76f84b83b171ca6
15853,https://github.com/cran/givitiR,swh:1:snp:4f8f75ec52455a54e7e76069a05c9af9f4c4c364
15988,https://github.com/cran/rtape,swh:1:snp:10386334b6a7181adbceedbc4c1771cab7a716c1
16015,https://github.com/cran/STAND,swh:1:snp:57de22caf688cbc1f8507730d629c4ebcb22d195
16100,https://github.com/cran/peakRAM,swh:1:snp:c557a11dd5fd0609e495509fe976b6cfab51af8a
16602,https://github.com/cran/Mediana,swh:1:snp:0651ea64e7d6ac2f47f7630fef81544bb1563b37
16955,https://github.com/cran/regRSM,swh:1:snp:d63c5cf9545ee7cbd54a429d5aff6918f6385eff
17050,https://github.com/cran/DoubleExpSeq,swh:1:snp:4cab16a26fd4f34924c8e336678e643a5547ce4f
17065,https://github.com/cran/PRISMAstatement,swh:1:snp:1bff459791a895277d88aa08e47e5f7b1824097b
17223,https://github.com/cran/SeqFeatR,swh:1:snp:6a3047e180ab8eb8737eb40f5210c50698999624
17898,https://github.com/cran/blendedLink,swh:1:snp:8810d580c141a5345815bc8e0af044206e2a02fa
17932,https://github.com/cran/FixSeqMTP,swh:1:snp:a72891ddb25547bf2d3ba56c1d75f5a226638fbf
18461,https://github.com/cran/panelaggregation,swh:1:snp:8661ceaa601f7895b47e91bb6acefcb6abe7f3e2
18680,https://github.com/cran/bayesianETAS,swh:1:snp:b2ef186a7e687f45e114284304220280c2632a86
18763,https://github.com/cran/ShinyTester,swh:1:snp:7cf6381d522cda693f392e1a235302e0b6304f10
18764,https://github.com/cran/sonify,swh:1:snp:fb5574b826fe561ab1a237f5d0e6703d1699c8ad
18814,https://github.com/cran/CompareTests,swh:1:snp:a39f2a42e406af9e6ba24f62acd96b45e1e5b8ec
18823,https://github.com/cran/QuantileGradeR,swh:1:snp:8db9be8aad76e905ad7ecf669bc2ab719cc216f1
19306,https://github.com/cran/word.alignment,swh:1:snp:e0e6e34710e75f01f4677f46173065f0e6fe9571
20087,https://github.com/cran/LifeHist,swh:1:snp:6a1d4ab2262b76354921cc1448b86ac6b1abfdbd
20398,https://github.com/cran/classGraph,swh:1:snp:c35e320f389f372eba1f93fe2c6ed677934323a5
20804,https://github.com/cran/dml,swh:1:snp:17e035fc2fb94fea2bf1b2172affb5eb48944057
21153,https://github.com/cran/Speedglm,swh:1:snp:362ca84a504db8487e53911e1b6b392aacfc65b7
22774,https://github.com/cran/BoolFilter,swh:1:snp:d4e4597cad6ed3d520552e331fb9037237173cfb
23425,https://github.com/cran/wfe,swh:1:snp:1569a4fb78d08dc0b5f6a9da03a94634bc5a66a4
23535,https://github.com/cran/LifeTables,swh:1:snp:713cf8c33a7449d4f73e414a7f7565c753148f58
23542,https://github.com/cran/wpp2010,swh:1:snp:6d9e623cd7dfdbadffb85ce3f7290c62e16bee25
23609,https://github.com/cran/LDAvis,swh:1:snp:261b136a167e1796470c3dcec98f6fc2b99e2763
23851,https://github.com/cran/VLMC,swh:1:snp:208861b5f97be46df4ba3759b5c07799daa9fd26
24105,https://github.com/cran/robustreg,swh:1:snp:a31fbc81e0b67f2d64dfa079969b9d755852f0dc
24147,https://github.com/cran/twostageTE,swh:1:snp:168401b60e025fed55faf8742dcce28fb3eb81fe
24153,https://github.com/cran/OptGS,swh:1:snp:4534533ce931b0f609bb52a8ecce2c85bb93bb0a
24552,https://github.com/cran/OrdMonReg,swh:1:snp:d76c17ef08d5f2821771552369ba231560161099
24759,https://github.com/cran/kernelFactory,swh:1:snp:0393908285a743d125a0ae0394005a77443ab5c0
24769,https://github.com/cran/MFDFA,swh:1:snp:1d5f7aff66e4410cc44e6cb07454c81c544b71fe
25209,https://github.com/cran/invLT,swh:1:snp:cca4296475a11a67ded5e11c0ae1da18b8bf9297
25412,https://github.com/cran/ACSWR,swh:1:snp:bff4c1d8a111ae4045a9e23da5cbe9bf7c8c8ada
25416,https://github.com/cran/smirnov,swh:1:snp:2d4b7a3897149a0cd9b005acfb196f42b5684983
25486,https://github.com/cran/BiplotGUI,swh:1:snp:274c61ac8681b3439fe1a0cb7b4586fd907ad0a7
25590,https://github.com/cran/lgarch,swh:1:snp:2e94a0128044ba86a5e1f026e7ec7cb38e66e4f5
25602,https://github.com/cran/multfisher,swh:1:snp:0e48321cfb09dbed3b8a589126e988aabe62072a
26060,https://github.com/cran/RWinEdt,swh:1:snp:797b64a4d82549fc7d187a5eb3d4d2e3925d01aa
26279,https://github.com/cran/EDMeasure,swh:1:snp:bebe770e7d8c2479facbd9f25b1a8cf9ddf3787f
26552,https://github.com/cran/msgl,swh:1:snp:b100fe8dbf2f8b1b633252c4993d266a3a4298e5
26711,https://github.com/cran/kpcalg,swh:1:snp:cfdfc1fe0c6f73649a387b38a8c267e8d246aea4
27461,https://github.com/cran/abodOutlier,swh:1:snp:4eaaa62fa408354c85f309a2acc4273bd59b57a3
27762,https://github.com/cran/testforDEP,swh:1:snp:403d3c47147560a597e747101ea4f5c2b7e24a0a
28137,https://github.com/cran/describer,swh:1:snp:cde61d574ea2a82ed7537714c38ec0f53f44f227
30004,https://github.com/cran/ggdmc,swh:1:snp:90c82bec1a83d9a87ce25453112b8f0551ef85a5
30573,https://github.com/cran/howmany,swh:1:snp:86715961fd375bfb9734f7f554e91d62fa03ffdc
31177,https://github.com/cran/countHMM,swh:1:snp:cf15d89693bba2a92ad54abb8ec93e1d8defd908
31433,https://github.com/cran/npsp,swh:1:snp:f8173af4de911f3d5769594cad1ff7ca41e6040c
31456,https://github.com/cran/InfiniumPurify,swh:1:snp:89f1b0bed5e533cf392a1aaece7dcf122c1fdfe2
31490,https://github.com/cran/jackknifeKME,swh:1:snp:2f53b0df234a6af058edec4e2dba9fc10fd11ef5
32494,https://github.com/cran/imputeYn,swh:1:snp:e2423f180bb0d74519291bd7943edb555340f625
33585,https://github.com/cran/scorecardModelUtils,swh:1:snp:f0ed9b1b668a7ca5aef84595de7dd256df5bd088
35488,https://github.com/cran/ICV,swh:1:snp:f6c83c2302a68b9ddc9b5c0cb22942f721b93191
36182,https://github.com/cran/LSMonteCarlo,swh:1:snp:2877401068975c1ed236c2cbdcb67fcbdcea43f9
36695,https://github.com/cran/SimHaz,swh:1:snp:0aec9f500a00f8c6c307088f8e12587b5f6a4c27
36697,https://github.com/cran/rcartocolor,swh:1:snp:45f70a3d5ab9f8fcbcdfa19368d2c0e67ba5e90f
36734,https://github.com/cran/fpp,swh:1:snp:34b2af5d9ee02eb8542e942a0776c9c7f491e03b
36817,https://github.com/cran/CDLasso,swh:1:snp:65870a4ec9bc43e9a4a6f74cc1f68061efa5a49f
36865,https://github.com/cran/dstat,swh:1:snp:95d6baa924694b5c85b653af84bc2a2bf8f52390
36958,https://github.com/cran/iosmooth,swh:1:snp:96b96dec1f7bea33f7b4c5485f7619b4e2a14682
37382,https://github.com/cran/KERE,swh:1:snp:77d1c6f49d61ad21c304b1f5e3d231bab234a8a7
37644,https://github.com/cran/MetaCycle,swh:1:snp:e542b539a158c8ad2f30b778f2061724f6bd1160
40017,https://github.com/cran/extremefit,swh:1:snp:c652d6c6f415d8cf19327c2a72953af947d5383e
40318,https://github.com/cran/ISOpureR,swh:1:snp:bb3e5bc9e3d1add8c7df8cf652d01f533279419a
40588,https://github.com/cran/MatTransMix,swh:1:snp:bd096ccc07aaa5fc90690b5b45fc5aaffc43bce2
44630,https://github.com/cran/samplingDataCRT,swh:1:snp:5211ff75c8b3c843b72f6ea4f5bf40eb4203b33a
43758,https://github.com/cran/ocp,swh:1:snp:2969340ec94459ecf15f54044db9ca51c2259263
41625,https://github.com/cran/SphericalK,swh:1:snp:7d0c60b7645011a359c9e7f7c928cdfeb0b9d6a0
41114,https://github.com/cran/FuzzyStatTra,swh:1:snp:bc8ed929f803657dea67ee096e815e9c4bccc873
40674,https://github.com/cran/BlakerCI,swh:1:snp:b83a6569cc0bcd6e7c2142f41f84ccd09c0ebcf8
45892,https://github.com/cran/gravity,swh:1:snp:8ea4d8c145554fb44f4a7791793509c7753a7baf
46097,https://github.com/cran/wqs,swh:1:snp:96b386599a51ae5569a0fcc900c30b4df0aadcb3
8041,https://github.com/cran/doMC,swh:1:snp:48d78bcfb3c465d0bf74ca3da386cb534f9b478a
9498,https://github.com/cran/AdMit,swh:1:snp:d3271448192492ffe7f30a98322d1b50b284a627
10347,https://github.com/cran/GGMselect,swh:1:snp:84755151fc075c7f894b86c6860b2ca8607faecd
11015,https://github.com/cran/BinNonNor,swh:1:snp:b1cf779e33b3946a05e8c3396009be0fb8946383
11059,https://github.com/cran/FAwR,swh:1:snp:b70f10a5ada58a3da4a56464d86534eb1a59fbb0
11357,https://github.com/cran/ProDenICA,swh:1:snp:a71088a4e200229b3ed9ee5a79a604d0f233c1a1
11743,https://github.com/cran/PowerTOST,swh:1:snp:8c9735d0c01f750ef7abd3a6f5564c57b0f9463e
11927,https://github.com/cran/Endorse,swh:1:snp:69581a52724c11eb05b3cda78992e4ca3b42a2ec
12054,https://github.com/cran/NHMSAR,swh:1:snp:6ec23ee69d3398005f85e64293b32fe5f71b5375
12060,https://github.com/cran/scaRabee,swh:1:snp:eb01a706ca24dfa89131c1e94c6557fe3db2fd9b
13995,https://github.com/cran/PtProcess,swh:1:snp:462a88b5e203417b58af57a28b36d04d6092e5ba
14559,https://github.com/cran/Diffcorr,swh:1:snp:935a4b67fb307f895dc6be46eac7710254e32c56
15399,https://github.com/cran/PearsonICA,swh:1:snp:fb1979656328ffbd16d9c11da3b285bb743bb005
15557,https://github.com/cran/microplot,swh:1:snp:57620f7fc939d51b06d73fb33927fc0f5447fab7
15583,https://github.com/cran/HDoutliers,swh:1:snp:58cea4b2f5c55795641a2e9a40210a46da76ada9
15646,https://github.com/cran/FastImputation,swh:1:snp:2e2d6e56cf773b1eabed8aa66d18b7bf03b6d452
15750,https://github.com/cran/genomicper,swh:1:snp:31c691bbb16249fbb65d45b331576536b3b391b3
15793,https://github.com/cran/joint.Cox,swh:1:snp:1f546d691b6d0fa163ededca3210fb1aaeeac51c
15858,https://github.com/cran/miniCRAN,swh:1:snp:60339a6a6110ee645d6480e8d77415e7ae01e0a0
15884,https://github.com/cran/milr,swh:1:snp:d321f9cec7f9a60c57b617268c68a198ba8def0f
16387,https://github.com/cran/bigsplines,swh:1:snp:deb579728270353a375dc589bede1dfbd75cfb98
16519,https://github.com/cran/PSF,swh:1:snp:ee373a989f5dac16a62bc517a85cab6305a40a12
16595,https://github.com/cran/IsoSpecR,swh:1:snp:267cf14ffdf86d05cd627a66e2b7d7d81b0f6a3a
17531,https://github.com/cran/eeptools,swh:1:snp:550101ff1a26f32d375cec6a4dc5cd48ed3601b8
17760,https://github.com/cran/rsnps,swh:1:snp:9072ac56a50cd1ba4239078221a7b6882f5fbdea
17786,https://github.com/cran/manhattanly,swh:1:snp:5d00a6f8a21185347a383fa21e70cb712ac652a2
18014,https://github.com/cran/DrBats,swh:1:snp:4bf007e2360a0e097cc83b932f352f29f3bebf96
18484,https://github.com/cran/MCMCvis,swh:1:snp:181c5e93f5cf0e1defecedfd89a016ba55919fa2
18682,https://github.com/cran/BIOdry,swh:1:snp:dc36fa1158684e5fc79c19ec83f82252ad5690b5
18815,https://github.com/cran/fastJT,swh:1:snp:5d0dd0626bc83f931f881f8575cf9728b79501ea
19132,https://github.com/cran/gamsel,swh:1:snp:3e8db2e7e12dc3b655c66454460426b1f8036d84
19171,https://github.com/cran/biolink,swh:1:snp:8788d93060793b216255abbf5c917a0c0e0ca75d
19422,https://github.com/cran/POUMM,swh:1:snp:0d0574d2cf1c799a16587de0b68ea4f17cd035cd
19426,https://github.com/cran/itan,swh:1:snp:100da0c132158d6731bc5e9ce2010bcd37e86205
19519,https://github.com/cran/spind,swh:1:snp:5e64926c9a2223dc2ccc06e8b4114b31c4c3942c
20079,https://github.com/cran/sensitivitymult,swh:1:snp:d5665c6abe9ded786a9ea02d89478527646f85fc
20295,https://github.com/cran/squash,swh:1:snp:268c889e6e66c90c45ff14f9b821de1fcc5d410a
20586,https://github.com/cran/BiDimRegression,swh:1:snp:183faefa6d782aca5119727707744cdb8a17f50c
20969,https://github.com/cran/sensitivity2x2xk,swh:1:snp:f85c1a29ff69f4aaffb9aa9e534898269de91123
21314,https://github.com/cran/esaddle,swh:1:snp:792d78961f9566c6b864cab5cc9be97647de9f4f
22168,https://github.com/cran/OrdNor,swh:1:snp:b00154b96302a7a5523e0e30ca15a8941e6e1c6f
23545,https://github.com/cran/neldermead,swh:1:snp:6dff673bf051cbf93f306754fa4dd8e0df5e5fef
23643,https://github.com/cran/Kader,swh:1:snp:0ec2cfc157243196b910f5b7a24512ec5cd3aa69
24029,https://github.com/cran/MAT,swh:1:snp:86ae94ea6641fde202718c450f801316f9548e19
24221,https://github.com/cran/hsdar,swh:1:snp:8f501bf3006508e86700049e0bec34c159eba802
24337,https://github.com/cran/soma,swh:1:snp:868f838f76e31e5d7d35bf708f9120c346a35fba
25215,https://github.com/cran/BinOrdNonNor,swh:1:snp:ef94fd98908354596dc181b6658e5f6fdd453882
25672,https://github.com/cran/MLDS,swh:1:snp:060d819274fd19ea15d72b2a652e3a4677e66cd7
26120,https://github.com/cran/corrgram,swh:1:snp:ee6e0205e047e5416a94d38453f2f537a8845c00
27014,https://github.com/cran/clampSeg,swh:1:snp:2cc1699d18534579f359daf39e03262225328314
27351,https://github.com/cran/FLightR,swh:1:snp:7b6d154c78553242649ca3c545fcce810ce8c7dd
27903,https://github.com/cran/SDEFSR,swh:1:snp:acb6fec3d8ac70292a69a79ff252003027a1cd26
27911,https://github.com/cran/senstrat,swh:1:snp:708a8881ec49580d03e11c7ee64b351ede60e3da
28005,https://github.com/cran/IDetect,swh:1:snp:c1c1dd1fabca0158f426d0eeeab614c98572dacb
29950,https://github.com/cran/simmer.plot,swh:1:snp:056d62a5051cac5a45752f97fca74e555ca48b3e
30872,https://github.com/cran/Davies,swh:1:snp:a21b1ad42f649cb80b875ac9a93fd0c9bdf540f4
31357,https://github.com/cran/glba,swh:1:snp:84a61aee7b31416a47352ad04e95961b1a299368
32399,https://github.com/cran/TransModel,swh:1:snp:9c9ead9aa0c0beb3e671d93141ad0e77fb5d379f
32462,https://github.com/cran/passt,swh:1:snp:2c6afb5facbc6d5408be3c5e0220d4720f7e6bf7
32651,https://github.com/cran/longitudinal,swh:1:snp:1deac93c26ff425a286fbe2c383a835303462610
32746,https://github.com/cran/mle.tools,swh:1:snp:05f0dcf28d7e401cc5ff612246785c8d649f3055
33151,https://github.com/cran/unifed,swh:1:snp:db82d06e812d94d5df608f10c3b5ab8148753b4d
35416,https://github.com/cran/haldensify,swh:1:snp:bbcb956fe5d690d80cf177eb1a043d737e82840e
35603,https://github.com/cran/sdwd,swh:1:snp:b54aa38ae191bc04059c0d0623f50efc33adae4c
36257,https://github.com/cran/PGEE,swh:1:snp:304120a5488461799af71aeb3c3cd757a9e1ec6e
36316,https://github.com/cran/DOS2,swh:1:snp:985dbb239a40a4f7539cde77ab3f0fbdcc4bbd80
36720,https://github.com/cran/nets,swh:1:snp:5990db7adf40c416116523e7160eb1bd1c00719d
37249,https://github.com/cran/RegressionFactory,swh:1:snp:e3809a193b22a022c6d697d572eade9c1128402d
37732,https://github.com/cran/cate,swh:1:snp:88fadf5515dc9dc7f1d1657f343cf4fb6cd53350
38062,https://github.com/cran/gaussplotR,swh:1:snp:84e4b8b9e47b926e044e8248516e5a84db4fd908
38515,https://github.com/cran/mikropml,swh:1:snp:fab138b1d33dd42814ed85e3b6b430315bda88cb
38652,https://github.com/cran/VARDetect,swh:1:snp:c4cdcb528d689719b737e04e2f9eaed62f44e713
38726,https://github.com/cran/qch,swh:1:snp:0d9aa4a3ea2fa0a77ada8fbf39d9f106f2b3b00c
38793,https://github.com/cran/elmNNRcpp,swh:1:snp:3b639d0164313e200d18f7a38dca0a9f27a6d43e
39278,https://github.com/cran/isoboost,swh:1:snp:d78ae3681737ccbfe37ddaa1fdff58e68012b14c
39815,https://github.com/cran/sicegar,swh:1:snp:6522796891b447fa8c028f34e6e3432cd375b347
40065,https://github.com/cran/sfaR,swh:1:snp:1bf8a3f21b99f702508170bdd01cd1d2e5846aec
40147,https://github.com/cran/ruv,swh:1:snp:883be3c3c2aa4843c7d7796386819952a6f4ab9b
44789,https://github.com/cran/childsds,swh:1:snp:7d022ff8b4551c735060a1d922d7fdb4e7dbdedf
44488,https://github.com/cran/SAM,swh:1:snp:fa4428abcb9b12dd57966d0ff6ebef8e337818e7
43872,https://github.com/cran/deepregression,swh:1:snp:e3ff7b4b8f0c7944b93c22cf20d78a9419e3ba0a
43256,https://github.com/cran/PCRedux,swh:1:snp:1f701cb7f4c6854232d03a9c497e25ef8aaf0bbf
42872,https://github.com/cran/MGSS,swh:1:snp:6ebe4d111fdc3d5ebf5b44cd4c7833ef16aca7e5
42820,https://github.com/cran/dragracer,swh:1:snp:7b4f62b02eab76b6af50c19d6f37bf75d37b20f8
42346,https://github.com/cran/BatchGetSymbols,swh:1:snp:bbb6ea329a1315186f2983b8ef4a2af7bc6c9bf2
42092,https://github.com/cran/noisyCE2,swh:1:snp:1173194b5a121d7b41e2547ba526ec46b4fe9a7a
41670,https://github.com/cran/RMTL,swh:1:snp:93d8b26154ae7aee59c6d3bd13104ba46f1109d5
41655,https://github.com/cran/poolr,swh:1:snp:f208e33cb9ebad8698a5b0c162446788a30d2d3b
41651,https://github.com/cran/tidypaleo,swh:1:snp:de0b48e0e7480082d8ea0dee48025cdeabeebd23
41647,https://github.com/cran/mrf2d,swh:1:snp:a277110595327d03e347821a01b4ab2ee8ebeb7d
41646,https://github.com/cran/bbl,swh:1:snp:dcc28d9be8120c6fce06496fa83d7c45dfb11c2e
41461,https://github.com/cran/ceser,swh:1:snp:bb73e1ffb3c3e71f8f6f46de0fea0390d04e4c00
41237,https://github.com/cran/openSTARS,swh:1:snp:c431e866ff23e996ee0c71043c9d3cf409f98e43
41236,https://github.com/cran/smnet,swh:1:snp:c05013f3429aac61473a91954cce44b08c00644a
41055,https://github.com/cran/betaBayes,swh:1:snp:a7adb0ca840f77d616173878f2429437ea40e7b6
40838,https://github.com/cran/bayesDP,swh:1:snp:3bf0a8e31e98fe79445ebfe7dedf890ede84b6e5
45243,https://github.com/cran/promor,swh:1:snp:23f69e816c7eb65d6e6ed54d4d0e7325645df3f9
46289,https://github.com/cran/hdpGLM,swh:1:snp:75eabf05cbd137d2f5b8f18574714b5c06256e88
46287,https://github.com/cran/spldv,swh:1:snp:bbd03f3d11755ce4cfe2e4b37359dc500295301d
46906,https://github.com/cran/NBLDA,swh:1:snp:84ac168d06d3d830012611789c337a536094d746
8207,https://github.com/cran/fdaMixed,swh:1:snp:7a737af1d08314e8e516cfa93f82ff19b01e77ac
8266,https://github.com/cran/EDISON,swh:1:snp:d4e9ecb9187ec33efa2276d00ca5b37a487159e1
9173,https://github.com/cran/Scaleboot,swh:1:snp:68ec57c00951cd7196d2cf26256b6ed692f19650
10627,https://github.com/cran/desirability,swh:1:snp:3154541db524e0c2300ac9313a5bbdd8610649c3
10642,https://github.com/cran/svmpath,swh:1:snp:bf987f10c13016467c221c3f758cb0388d1211e3
11036,https://github.com/cran/SimComp,swh:1:snp:bffc073d4ae2eb817dbb9633b9c0251dca2b4f3b
11076,https://github.com/cran/cmprskQR,swh:1:snp:1e55edcf40a67d3b0e305c3f8b04425c61929173
11132,https://github.com/cran/gamair,swh:1:snp:4a5e8664c2a504caa4b10d1a6f7b707e7f77b58b
11139,https://github.com/cran/RGraphics,swh:1:snp:b98142b3b2a22fd6feadeae77521517b65c4ba69
11197,https://github.com/cran/GWRM,swh:1:snp:71071cd4fd6e6c9beb62499cdcaf3733dbcc0c01
11277,https://github.com/cran/mmcm,swh:1:snp:0e5ecebef99465a7cfb4be17a123b0fdc4b0d7f0
11289,https://github.com/cran/mvoutlier,swh:1:snp:69443f96bafeee1f8fab218a4b1410ac0635cde1
11742,https://github.com/cran/MCPMod,swh:1:snp:57fca420c9f53a7f9135216a4608188f9b31d991
13214,https://github.com/cran/lmm,swh:1:snp:045e921164a179df4c42a548ec5a9c16ad4a71ab
15357,https://github.com/cran/radarchart,swh:1:snp:d3fe9be6cd1fe4e295f3b281a93eaafb3bf62241
15384,https://github.com/cran/PredictABEL,swh:1:snp:65eb9cefe7023475efc172a7e73a1b2afbc9b710
15560,https://github.com/cran/HydeNet,swh:1:snp:580ae2c1079858e763dbde6d25ddb2b8e3e639d5
15766,https://github.com/cran/sudokuAlt,swh:1:snp:4be3e9ce98cb308d2da6e2c1bfe139c2ae081f8f
15972,https://github.com/cran/ssizeRNA,swh:1:snp:aed6a44cf0468ba4dc3700e52b9c9472653eca50
15978,https://github.com/cran/docxtractr,swh:1:snp:410f5f1b5d321fe91200f8b39d3055c935ee2833
16021,https://github.com/cran/FADA,swh:1:snp:30a69118c8eaf9b563c16bb7ac8d92877fe417ca
16133,https://github.com/cran/hyper.fit,swh:1:snp:d1225d2d2ca45eaec0bbf8c536b91c517f43a1ef
16288,https://github.com/cran/Rtauchen,swh:1:snp:3911c8e909bc59004acb44e7588b60fb5d64a5f8
16321,https://github.com/cran/discretecdAlgorithm,swh:1:snp:184584c5744835affa43621a5359a5b238539651
16388,https://github.com/cran/queueing,swh:1:snp:6232577c0eb67cae7c716ef1432cc54194fb26d4
16391,https://github.com/cran/binsmooth,swh:1:snp:7f5758db10a2c1a7528eb9860db70b7c8e0d54b0
17751,https://github.com/cran/pstest,swh:1:snp:948ea8f676bff4a3c5bcf128cb3cf3dead65ddf7
17772,https://github.com/cran/IrishDirectorates,swh:1:snp:d43d1cf88d70f3350cdf4ad27bfaf13b083f51e3
17778,https://github.com/cran/forecastSNSTS,swh:1:snp:74e04151dbd40ef15a78be02a729cf188634fc63
18022,https://github.com/cran/lazyData,swh:1:snp:223aa35014a577de64df5e7f37aad7b3c008de13
18040,https://github.com/cran/Rgbp,swh:1:snp:d2907c0a1e1c1f13152e4231dddbc441bddcbcc5
18180,https://github.com/cran/ggenealogy,swh:1:snp:d46a122713b8c2a013a7aae52c5a2a96998a3cd6
19527,https://github.com/cran/MCMCprecision,swh:1:snp:a3c99827d8972714cf462154767738f603f8d7a7
19705,https://github.com/cran/gistr,swh:1:snp:f044c9fee4fdb9fd63c4867ec34327467359b927
19744,https://github.com/cran/apercu,swh:1:snp:d17f98efed4f194bcc50d832d8ec38cf6c11dcd5
19748,https://github.com/cran/phase1RMD,swh:1:snp:691387aee8c08ca323dec53f9f3d2f7dc5996a53
19806,https://github.com/cran/PLMIX,swh:1:snp:954aa237b48a48c8e9f3771905c70a0bc82775e0
20439,https://github.com/cran/gamesGA,swh:1:snp:524d6fb8685318d70c3331c764e8ee2564676cee
20445,https://github.com/cran/muRL,swh:1:snp:3cb1ec367c73a5d1e3d46232e7458ce9763acdec
20528,https://github.com/cran/glmnetcr,swh:1:snp:4108d6c5e5eb8f0dcda122c6fc9f81c76a80fb7a
21196,https://github.com/cran/flacco,swh:1:snp:7751e777826eda9137954a415d23d5441be849db
21590,https://github.com/cran/heritability,swh:1:snp:cf7c82104aca3a6af8041f20dd350160bb8bc610
25300,https://github.com/cran/GFGM.copula,swh:1:snp:d9e4d96afac441a9c95f93e5f1c424f226660184
25482,https://github.com/cran/proftools,swh:1:snp:8a9545ea1faf602b709cc80f84d70210226ab39f
25596,https://github.com/cran/RobustAFT,swh:1:snp:d80a89efb8ffcc80b604d5959893210aab0ae31b
25728,https://github.com/cran/ForeCA,swh:1:snp:ebac795ffb39aefa245a11c5f756e4776bf35653
25744,https://github.com/cran/logbin,swh:1:snp:fca2025d443ba7f94c74e398311262c3e5028a47
26806,https://github.com/cran/murphydiagram,swh:1:snp:2737ea63c7fd7cdd2900be145222d3556c90d5e0
27360,https://github.com/cran/EMbC,swh:1:snp:c4e10259f2e3ce36bc3a84ae37be0dafee933338
29029,https://github.com/cran/TSrepr,swh:1:snp:0a62f612e2ace75d55f0bcc11969d4d111160fa8
29955,https://github.com/cran/rankdist,swh:1:snp:31e505d86c53b578bbfa2235b0f5c16e08defd3e
30310,https://github.com/cran/ERP,swh:1:snp:6bdd78638cea4d4454e94ec820e43fe641653b96
31172,https://github.com/cran/kirby21.base,swh:1:snp:2ed4f7635337314226ad6c62ebce2aa2fc60885f
31364,https://github.com/cran/ipflasso,swh:1:snp:e06bd24b898ccbbf9f5ecf46e2b5eadf252a475e
31412,https://github.com/cran/blmeco,swh:1:snp:b31881ee4585169ea82fc7cb6f480bc85f35e18b
31426,https://github.com/cran/Chaos01,swh:1:snp:96010d6ecd2d3282b0c48066e6959b18e9695ee2
31609,https://github.com/cran/perccalc,swh:1:snp:d2633524163e2443c4b0cb23e817af0c60f95d25
31732,https://github.com/cran/SSLASSO,swh:1:snp:445dc7bebd0f3db18049b3086755683002a8f47f
32322,https://github.com/cran/lg,swh:1:snp:c2d7b28a67eb7f0b186f50f5f7da00215558d963
32477,https://github.com/cran/spsurv,swh:1:snp:8f9ed9f0588bca21f9de8fc2ad158793603026cc
32612,https://github.com/cran/zipfextR,swh:1:snp:e6da298ebfd1406b1e524923fc8b1481bc0d81b0
32825,https://github.com/cran/icarus,swh:1:snp:918ead0a023082c954a0ea732705c35c09a1b782
33830,https://github.com/cran/hybridModels,swh:1:snp:e4fa8c0c81699e5afdf09f8cd972228f9f2c937d
33913,https://github.com/cran/tukeytrend,swh:1:snp:031b5f02f75714cd57fdefbec12e3abdd63c5291
34074,https://github.com/cran/merlin,swh:1:snp:272e2deae3b93f33640906f9aa694a05c77e7509
34186,https://github.com/cran/bgsmtr,swh:1:snp:09d1c5c3d55e304827cd9c0e2a4137db4dd1ad08
35216,https://github.com/cran/randomForestExplainer,swh:1:snp:5f6155e7a376b431abcb3e79569bcd24cb1ec39e
35217,https://github.com/cran/triplot,swh:1:snp:5a82d82df79de9675868d3577ec1cb016db289be
35317,https://github.com/cran/dclust,swh:1:snp:60aba3595bda35511a611701ca0b7ea85d817634
35696,https://github.com/cran/LHD,swh:1:snp:9c81bff6713805b32dcfdd005874a2b4f2958239
35699,https://github.com/cran/optweight,swh:1:snp:7c9be17341acf4eca36b3c063150e69c77603681
36417,https://github.com/cran/ispd,swh:1:snp:f50e477b7388ec59818d98a09a4f823529741516
36463,https://github.com/cran/medicalrisk,swh:1:snp:ef9e3416192f6b23708a20a8f7a8173782810f98
36581,https://github.com/cran/PPCI,swh:1:snp:9ace04b2c94432796421fb717e13808d1f8eab89
37422,https://github.com/cran/NRejections,swh:1:snp:8b9335e5333c7aeec47e02874e85c98144b0b494
37521,https://github.com/cran/CGManalyzer,swh:1:snp:3c412f37b4c530890d173d09d457be4f1af4274d
38304,https://github.com/cran/fpop,swh:1:snp:a7d66860e8ae028a404da1838e65e82efe3943b2
38663,https://github.com/cran/deepNN,swh:1:snp:d5ece152e952c7aecb6a5dbcd4dd152b11b70775
39805,https://github.com/cran/MEtest,swh:1:snp:06a6a933667afac1bd8f31c91bedfc939e375e56
39864,https://github.com/cran/opitools,swh:1:snp:08be7ae537fdd262774a63042433ea6942a9d362
40282,https://github.com/cran/EffectTreat,swh:1:snp:b2deeeb2a002834b90a1baf107d0d57cf5a30a10
40349,https://github.com/cran/pimeta,swh:1:snp:373bc80fab5c2405c00fa43a22ced7575cac10e2
40523,https://github.com/cran/cofad,swh:1:snp:3303511928d367deb1bf79708f5197367e75bbb6
40554,https://github.com/cran/igraphdata,swh:1:snp:e82d20eb46bc3b15c37313e41bdf0a85f12df7b9
45113,https://github.com/cran/SparseMSE,swh:1:snp:4fb85e7641989b99e578933b551a3fc5964ebc84
44966,https://github.com/cran/smmR,swh:1:snp:4b7ed330c8246984e04efebee84b6208c52e12bb
44853,https://github.com/cran/randomizeBE,swh:1:snp:9c97c7b1708e4f7cd62b5d14b3099fe7e2d411fe
44484,https://github.com/cran/sand,swh:1:snp:7b281d34684da64d814e653b22fe95bfabec7a34
44068,https://github.com/cran/miselect,swh:1:snp:1f4a87d4a94f6fd3af48804fc034205b3c989ff6
43407,https://github.com/cran/bivrp,swh:1:snp:8ecdfc6bc410814ff47e9370cdc178a2e85dcc45
42825,https://github.com/cran/namedCapture,swh:1:snp:759173849a764ee02dc993719ed682e890232b62
42647,https://github.com/cran/BasketballAnalyzeR,swh:1:snp:024aeedacae0dac6b1ac23ac8cb9ccdbcb4f2603
42524,https://github.com/cran/pcr,swh:1:snp:7c2fe4d623e873aa748ef5fbbd4c81019f675249
42130,https://github.com/cran/lbreg,swh:1:snp:fa11b52ad51b40761a5f09195fd9ce5bfa8d78dd
41881,https://github.com/cran/spgs,swh:1:snp:c358e3cdd5b1151085e976d18e065e2d418923c2
41746,https://github.com/cran/stray,swh:1:snp:b2c3467ada48a53451e3bdb1086084edff93e324
41721,https://github.com/cran/mcvis,swh:1:snp:1faf7246bd49bfab9409a4f77b6cd64114666ddd
40871,https://github.com/cran/TrialSize,swh:1:snp:73c3ff9086760334fa83d4608c111bb0ea32765b
40839,https://github.com/cran/bayesCT,swh:1:snp:98d39a83bcb971af83229500384a1bc1656e90f4
46784,https://github.com/cran/brainR,swh:1:snp:a3fe7c7849fb4931bc3350c49716ddb08c89366a
46568,https://github.com/cran/trawl,swh:1:snp:bdb7d749804b73f5170d348e0614aff4d3d253fd
15370,https://github.com/cran/vaersNDvax,swh:1:snp:a03912b01884c8074f9cf893e295e0fff334daee
15457,https://github.com/cran/Frames2,swh:1:snp:622a5076a552add92a318cbc508130745820ade0
15533,https://github.com/cran/futureheatwaves,swh:1:snp:c76d463c5408a4deb00e547c8fb96c3e7e4b5c5c
15696,https://github.com/cran/nparACT,swh:1:snp:d6530c9bcdbd7825d23353260aacc50ea3bfc32d
15775,https://github.com/cran/ttbbeer,swh:1:snp:1758b76f4ec5e73f2e3e6fce02c9dbfcfa9a07a4
15803,https://github.com/cran/spAddins,swh:1:snp:5799227f85dc5acf4c09da936d8e826284a33d35
15854,https://github.com/cran/MCMC4Extremes,swh:1:snp:c589f1419caacffd076e9cacaf3296fb45ef038d
15863,https://github.com/cran/SizeEstimation,swh:1:snp:f4ea9389ac12a9415a66837dbe5619e21cf415a2
15864,https://github.com/cran/smoothtail,swh:1:snp:cd09862fbe24e4f3c44caf53dd2cdb75e207083b
15886,https://github.com/cran/Peacock.test,swh:1:snp:991ac814cacecca2612276becdee7b0a8dd2cec8
15888,https://github.com/cran/domino,swh:1:snp:fa6f0b924f36c1b8de09545d76b962668b6680b0
15952,https://github.com/cran/SecKW,swh:1:snp:2e3d6d4acd400fffe7f4a16331a5054f957643dd
15954,https://github.com/cran/SinIW,swh:1:snp:0523f0708e15eabd66b828d7c144c692ac179c31
15956,https://github.com/cran/CosW,swh:1:snp:e304896640502eacd69aa55d705804cec8c09d78
15960,https://github.com/cran/TanB,swh:1:snp:dada954d4723c3a58c3cad6d47b46c4b2dbe8fbb
15975,https://github.com/cran/ChIPtest,swh:1:snp:32d55f7eefa2bbd00964ebc3351022a1e12e4a0e
16051,https://github.com/cran/BayesPiecewiseICAR,swh:1:snp:a32b42da4329b11d8e339b0c8f548d9e3aec2efe
16059,https://github.com/cran/SimSCRPiecewise,swh:1:snp:e3f95ccb0a147d58c8443b566986258755977aa0
16073,https://github.com/cran/HK80,swh:1:snp:8f78222bc1b813d8815eeee3845b34ef80dfecc3
16079,https://github.com/cran/GameTheoryAllocation,swh:1:snp:6b75176ac8ed6730b4114e97a0c7785687ea3105
16082,https://github.com/cran/mcparallelDo,swh:1:snp:90b36d8b4e3c9cfdc11dbd9f5f392ef746854728
16083,https://github.com/cran/mod09nrt,swh:1:snp:a907b6146cf1c90f1f6dbfc8ed9c072296d85770
16129,https://github.com/cran/AntAngioCOOL,swh:1:snp:4d6c03dc1a0f92a8f23f5dbdb676b9fe0741a181
16132,https://github.com/cran/denovolyzeR,swh:1:snp:190a30051b9aa30b31a5fd4b76328efda1d83b96
16139,https://github.com/cran/proccalibrad,swh:1:snp:5abae207b3b46a8d0ad50bbf6fddb8ca1b575b89
16253,https://github.com/cran/VIFCP,swh:1:snp:bc9432127ae41fdeb74d97ba7537fc51e55fe04c
16283,https://github.com/cran/EnvNicheR,swh:1:snp:2dc8c6b3e1a9e112fa670251ec830128d5f5d736
16312,https://github.com/cran/segmag,swh:1:snp:c16f24ee367b5913068208308584da83d5d7bd7d
16403,https://github.com/cran/RRate,swh:1:snp:09257b61f9af45e2cc4d098aec1b6d264d81a259
16507,https://github.com/cran/SSRA,swh:1:snp:cefb147c29cd81632df9962ea47068ef248c01dc
16514,https://github.com/cran/datastepr,swh:1:snp:5c8810144c99baf8f26729fd1ea0268a2095afbc
16515,https://github.com/cran/predictionInterval,swh:1:snp:c54ce85cac212030591833a8f5e30bc752835f58
16520,https://github.com/cran/SPIAssay,swh:1:snp:594680806e5a849653e03dfef51c6b9e2bc522ab
16579,https://github.com/cran/MetaheuristicFPA,swh:1:snp:4164f8656cb9e6a20f222a4f806027a31ba156c6
16581,https://github.com/cran/spselect,swh:1:snp:32f118e55af0daea4f6dee4d5670f564c370808d
16597,https://github.com/cran/Rexperigen,swh:1:snp:27034d4acba105f48d852a1d01f523f22f25a934
16599,https://github.com/cran/rpnf,swh:1:snp:55c8e6e29124819ff7d5fad6d033745b9264ea98
16656,https://github.com/cran/mra,swh:1:snp:af5232dcb29618d15e319a896ae7a8d846e635c4
16681,https://github.com/cran/musica,swh:1:snp:c7e866e76b3c301f36c055f5ddf7ba26ec68f264
16682,https://github.com/cran/ROCS,swh:1:snp:77063929f4d694affa5200eef2bc15e8d7e91be9
16685,https://github.com/cran/Canopy,swh:1:snp:bcadc433b312a4b6d03e443dfb92b1754c387185
16700,https://github.com/cran/versions,swh:1:snp:ceb2d8247f8c4ceff67a2af993bceeea875244f9
16702,https://github.com/cran/fpa,swh:1:snp:17c7fee85391e8d5190e1e16f84c0d7d6dfc24ff
16708,https://github.com/cran/T2EQ,swh:1:snp:7605f8cd8a4b8605eb1ffa729752090572d2e66b
17523,https://github.com/cran/ECharts2Shiny,swh:1:snp:64daa46aeb1ed4940a3ce8f0837ea4a2044c8140
18030,https://github.com/cran/PepSAVIms,swh:1:snp:58576df3047538825f195bf8f47489e544f03b14
18364,https://github.com/cran/tsdecomp,swh:1:snp:3d48bdec99cb3f839a532cb01da92e8f4b82cf07
18365,https://github.com/cran/TSeriesMMA,swh:1:snp:86c6bd3c407f5dfbd25dafba3a2aa6a5f94f91cb
18456,https://github.com/cran/fmdates,swh:1:snp:d5b28d6f8cba41e89347a8a777a31f080c249a85
18925,https://github.com/cran/ipft,swh:1:snp:78215c3fdcba1fd64a9c5441399691f283a40440
18963,https://github.com/cran/lodGWAS,swh:1:snp:dc48484f9847c9bdc3050eb75e28d09d3673db58
19518,https://github.com/cran/sensitivityfull,swh:1:snp:944711cbb03747d435e3b2d64b4a9fd480c91c6a
19524,https://github.com/cran/ExplainPrediction,swh:1:snp:44087dee88412f21ae2290f6fc1aaa1908511297
19810,https://github.com/cran/bayesloglin,swh:1:snp:b8a34d75ef71c6d486fbd1b31719bbee80f29fbe
19990,https://github.com/cran/CoClust,swh:1:snp:ea7858c1874f5a1c744c85ee2c47a0d381433fa8
21050,https://github.com/cran/SegCorr,swh:1:snp:70bfd9294f9528261153df5ec8f8d4ec557d0e9e
21591,https://github.com/cran/rodd,swh:1:snp:b8c1ebe3db78b928e42fb59716ea7dfdaa464c89
23280,https://github.com/cran/acp,swh:1:snp:9ef0aef939f53aef708482828df3e4dffa0df068
23531,https://github.com/cran/rlme,swh:1:snp:239b1d34940bc07159fa57d14299d86ffd3d0a09
23838,https://github.com/cran/conformalClassification,swh:1:snp:cbd9a5d7489f055bb80ad04b9e87846bea5d1337
23852,https://github.com/cran/RSKC,swh:1:snp:1f0630b652e4cb70ce11fc67d3e06ba41405255a
23860,https://github.com/cran/ExtremeBounds,swh:1:snp:2a07dea8c66dd8d4caabcf0400dc5be2e2c3b72b
24021,https://github.com/cran/simplexreg,swh:1:snp:1c19015cf7c1fc2abbe377bf75ee2e86d72c0550
24114,https://github.com/cran/sms,swh:1:snp:a255711c30541169f872aa129b36915fd740a12c
24116,https://github.com/cran/SPmlficmcm,swh:1:snp:54bc1ad6c899eaaf24a67d21b70a64cfb5a911c0
24159,https://github.com/cran/SimCop,swh:1:snp:e60b834d7b9e79614c919e82d75cbd6a9cde711f
24187,https://github.com/cran/DTR,swh:1:snp:0a1eef22832fa95d061c6c677f3a08e0e3456888
24195,https://github.com/cran/hwde,swh:1:snp:22dd9aa2e01abdedd6495e62ff8bfbf91055b6e4
24336,https://github.com/cran/BurStMisc,swh:1:snp:f92528b74043a6c1ad44d1ef1559ae40871b297b
24497,https://github.com/cran/LCAvarsel,swh:1:snp:778b2ba81663b2ea0bcfd48b61256c90eda835cf
24518,https://github.com/cran/PBIBD,swh:1:snp:286aace68dda110f5b65616d7e396b3e62f1bc52
24525,https://github.com/cran/galts,swh:1:snp:c932015188d367f91ffb32140b3e272945ea4b18
24544,https://github.com/cran/cg,swh:1:snp:71b480a7137aa3bbf7e5268acc2ee09f14d04c03
25749,https://github.com/cran/neuroim,swh:1:snp:149e153d5e036a82ab585091d0f8ec63063559cd
25831,https://github.com/cran/SCBmeanfd,swh:1:snp:f555688e825c0fa88b494cdb8c0f41b0a78b000e
26172,https://github.com/cran/UStatBookABSC,swh:1:snp:2bbc8b7ecf4d8c3156e744050edb6546648a08cc
26420,https://github.com/cran/dynCorr,swh:1:snp:2e6908efe1a31913d29db638e556074a2ad4a1ca
27223,https://github.com/cran/phylotools,swh:1:snp:4d37a536c243de63a473d8b23e81cfd88cb5257a
27394,https://github.com/cran/acc,swh:1:snp:0b9a39c04dec19b4df208b81fa49886904724c4f
27892,https://github.com/cran/digitize,swh:1:snp:383ca6568177826af6b0c3d483ab4bf20f9786f2
28144,https://github.com/cran/xray,swh:1:snp:89ae23de2dcccc20b6e4cfd83917a68cff2a2f4b
30511,https://github.com/cran/artfima,swh:1:snp:aa85e2dff332d12f97cb8a294ec59479082460e5
30847,https://github.com/cran/depth.plot,swh:1:snp:eef7d07e63f6ec4f489832130bde33909ffad57f
30854,https://github.com/cran/stmCorrViz,swh:1:snp:15f3e20689100b97440d094c51e4cd91dfc1aee9
31178,https://github.com/cran/longROC,swh:1:snp:934304f217fc0c09a8d8d5b312d2e045264895d2
31314,https://github.com/cran/CircOutlier,swh:1:snp:d9d8d8082b67182e5dd8b579a204363d5978e8b8
31738,https://github.com/cran/pitchRx,swh:1:snp:32c34cc8a57f21500707d564d4187e8ccc141ce5
31797,https://github.com/cran/acrt,swh:1:snp:ec50fd0be723f565c7a958e945972a23fda52ae3
32725,https://github.com/cran/frmpd,swh:1:snp:126e7c26a56e2be3c235f52508d47c47bb26c867
32871,https://github.com/cran/ceg,swh:1:snp:a5c4d5e5464020a0896b6225103e8746fedfb191
34306,https://github.com/cran/SimSeq,swh:1:snp:ae2de0b4224e1ec4b3825075cd59ef80bb4342a7
34659,https://github.com/cran/frmhet,swh:1:snp:592346b342827bb0cc7917bae654e7cdb6299f9e
36256,https://github.com/cran/JGEE,swh:1:snp:6c7506d37ce65513757bcec3b4f6c1d07f6fe92d
36901,https://github.com/cran/samplesize,swh:1:snp:2ae0911543e447a5f45adf25fe1ef092b7f2ed4f
37181,https://github.com/cran/ArchaeoChron,swh:1:snp:20667816c04e439f15a6c374e8b4bf4b33c31965
39810,https://github.com/cran/tilting,swh:1:snp:b00fca7718570c766a6ca71675f93cd14736ca72
40154,https://github.com/cran/DOBAD,swh:1:snp:ccef2dfc96f279c5fd63fb98af8873c66b5bdc1c
43759,https://github.com/cran/breakpoint,swh:1:snp:f70f3415ea6fa0f73133164b05d7fa650494721a
41401,https://github.com/cran/gTests,swh:1:snp:a42b2e1d953f0c946f010c6cd590d8deb3f0fcbf
35085,https://github.com/facebookresearch/clevr-dataset-gen,swh:1:snp:c648e18b940e6bae9084e0b8635001ca4fff237b
43470,https://github.com/ajmolstad/MCMVR,swh:1:snp:78612cfb5fb9d28460c9422bb3da23a40adbce7e
43469,https://github.com/ajmolstad/SurvGPR,swh:1:snp:57c2b9579ed2bcf76dc3810acd0314affa47ca5b
43464,https://github.com/Hosein47/LOGAN,swh:1:snp:74369188c7ad6c475eaab95a01b6367b2d99d73d
43463,https://github.com/ajbrock/BigGAN-PyTorch,swh:1:snp:eb6443d7f85b44d22f758f160f9c2b40870a0c17
43462,https://github.com/Dotori-HJ/SphereGAN-Pytorch-implementation,swh:1:snp:f2bae26f88d2cb48c3a0152d5792a1c7f7666c00
43461,https://github.com/pfnet-research/sngan_projection,swh:1:snp:d1fda828980b4219f4ce5efeba7d7f6de13dcdc0
43460,https://github.com/sangwoomo/instagan,swh:1:snp:705e6fa751285b1aa8ba46e940c3950bc69d917a
43452,https://github.com/autonomousvision/graf,swh:1:snp:4a4707fb33464cbac8ff6da90c32454fccbf1315
43451,https://github.com/facebookresearch/swav,swh:1:snp:fbf1fdba8f8c6512e3ea0fb24891e08eab4374d7
43450,https://github.com/janesjanes/Pytorch-TextureGAN,swh:1:snp:b42511efa73a53c1ecaf87ebf2fd4209a8529d7a
43449,https://github.com/assafshocher/InGAN,swh:1:snp:5eea5f6ebee2950fb8126478073059f33560a88f
43447,https://github.com/HsinYingLee/DRIT,swh:1:snp:66c9aa5ecd3a510b216e4f1e5dd0b99f999bcbbb
43446,https://github.com/rajeswar18/pix2shape,swh:1:snp:3d75154759c49f0231b6923bdb7b181a194b38a7
43445,https://github.com/thunguyenphuoc/HoloGAN,swh:1:snp:327fb10907349a8c70548cb88dfc21051e281272
43444,https://github.com/nogu-atsu/RGBD-GAN,swh:1:snp:4937df8078f1664fc96967bef95f1a39e183a73b
43443,https://github.com/NVIDIA/vid2vid,swh:1:snp:0ed7ab85b7324732709b2d2087c2f213c6c81d33
43442,https://github.com/HyperGAN/HyperGAN,swh:1:snp:e05cf07639f88e6e00bcf98b962d4abdb0e9b1cc
43441,https://github.com/uci-cbcl/DeepLung,swh:1:snp:c8b6fb8c9678d875d961c60d8e55cdb8b12c9426
43440,https://github.com/bobo0810/S4ND_Pytorch,swh:1:snp:3cb1181750e1c43c46148a051f5d7577f31c6094
43439,https://github.com/FENGShuanglang/CPFNet_Project,swh:1:snp:4844df7d87c462a6dc519d67974e720c70ea92f4
43437,https://github.com/kwotsin/mimicry,swh:1:snp:6190e159f96418e9773a453aa17450f372767ffa
43436,https://github.com/tensorflow/gan,swh:1:snp:57e35a039416885cb4877d783de96b80005926b9
43434,https://github.com/NVlabs/imaginaire,swh:1:snp:2b51a23ba6e8e061bd9ed1708860dfe8ef7beddd
43431,https://github.com/drcandacemakedamoore/cleanX,swh:1:snp:db0c39d5f589897d0a55dd9dd57c1a4c1f7651aa
43429,https://github.com/torchgan/torchgan,swh:1:snp:d9538930989782ce6169da0f5f4db488d87c2122
43428,https://github.com/tamarott/SinGAN,swh:1:snp:5172566195a7a0af157f26847ea77763d5fc2ae5
43427,https://github.com/POSTECH-CVLab/PyTorch-StudioGAN,swh:1:snp:6c0db93375fe7bc0f0f10600b40aac15dc83fc4c
43423,https://gitlab.kuleuven.be/ITSCreaLab/public-toolboxes/dyntapy,swh:1:snp:d00e6035a12f7db8a8d91243771f4699681d7b30
43420,https://github.com/jorgeignaciogc/SBG.jl,swh:1:snp:9aedefc8d5c9cbed991c0fb031e40b34285ed4a3
43414,https://github.com/cran/obliqueRF,swh:1:snp:96c37277f8ad9a31eaf024b6f8372961f59645c1
43410,https://github.com/sguha-lab/BayesConics,swh:1:snp:34dd9dd40168a17c5d831ff3e317cbc046992103
43406,https://github.com/jlyang1990/loggle,swh:1:snp:7c80e4e101e536c16299b423b79f22c787df3a72
43405,https://github.com/DataSlingers/clustRviz,swh:1:snp:7ea0d3a337e03d5a71afdc0448375a90e3cab665
43404,https://github.com/mxcai/bivas,swh:1:snp:f1c2d813eaca3945f6d06cad082a907d523d778e
43400,https://github.com/cchauve/HyAsP,swh:1:snp:ecf0be4a71817397b59cd9180c535006d6c5bc58
43397,https://github.com/lsncibb/SummaryAUC,swh:1:snp:de650bda8d2338a8d1386f1054bdf4206067e54f
43395,https://github.com/XingjieShi/VIMCO,swh:1:snp:147d7207f0d06f58ba1b2de816e0615e0016a36f
43388,https://github.com/mwgrassgreen/AdaTiSS,swh:1:snp:7fae4a415279ec489a99ece5ac59ac28e7591f9b
43386,https://github.com/PredictiveIntelligenceLab/UQDeepONet,swh:1:snp:4b1b73c5ebe4738491519bf5aa9f4b2b6f96e308
43385,https://github.com/comp-medicine-uc/num-model-alv-perfusion-gas-exchange,swh:1:snp:a579e37841b6fdd68891a6beb233910ecdfa51d7
43377,https://gitlab.com/scce/add-lib,swh:1:snp:1a995d9ce62dabb0c9c1f0ec06640644cb7a3fd6
43376,https://github.com/Simula-UiB/CRHS,swh:1:snp:dfb3beb535c7126acefc9b8156ec1dcdbd733ac7
43371,https://github.com/slSeanWU/jazz_transformer,swh:1:snp:2b27b02227aecac4ff0acda980e8bc327ec7d885
43367,https://github.com/mir-dataset-loaders/mirdata/,swh:1:snp:10042698605462c3648550afb8a5ae501ca38e0e
43357,https://github.com/nomahi/MVPBT,swh:1:snp:2baceaa393e583a8c14f4fa1ff85f70bdf594c4a
43338,https://github.com/pythonLoader/QT-GILD,swh:1:snp:e4a94934b70d9c4887e21a8e47df5eae551d91f5
43323,https://github.com/ucasdp/BiTSC2,swh:1:snp:41290da803c974a18a42868708bbbb98ceb3b501
43321,https://bitbucket.org/hamimzafar/sifit/src/master/,swh:1:snp:9e03a985928cdb6d416e17ea0ac14455e97438b6
43317,https://github.com/zpf0117b/CLMB/,swh:1:snp:c20b81bab54912838e7f81c40f84b5be6309ea9c
43312,https://github.com/ecogenomics/gtdbtk,swh:1:snp:31175123ce18547a557183ffddb94c210a706bf4
43284,https://bitbucket.org/canzar/cidane/src/master/,swh:1:snp:65eca487eeee2ece5d5599627e71d8cf8029c2a9
43283,https://github.com/algbio/MFD-ILP,swh:1:snp:6e800dbd37237998f0145fc57ff4b7420b9f49f3
43281,https://github.com/POSTECH-CVLab/circlegan,swh:1:snp:718ced49938bf1ac3f4074b1113098d5d8910802
43269,https://github.com/raphael-group/netmix2,swh:1:snp:c0048c5c22098b4414fbbea2d6a461222a0919a1
43252,https://github.com/erichround/glottoTrees,swh:1:snp:cc96482d4070dcc60ec665462de8bf6f5b19ee19
43247,https://gitlab.com/laurabecker/lingtypr,swh:1:snp:6cdc200f4961a75042a188904d7fee2e91b387b5
43244,https://github.com/NREL/graph-env/,swh:1:snp:adbe8038f482fb79cd1e95f5892980f25e55297b
43242,https://github.com/FrancescaPelusi/TLBfind,swh:1:snp:546a311dbba1c68a8d1f56b72480ceb055a98e35
43241,https://gitlab.com/unigehpfs/stlbm,swh:1:snp:d2f83e6dc7b088f48841210b9617ed5513467e3a
43232,http://github.com/TensorRefinement/TensorRefinement.jl,swh:1:snp:880fa89b3d86758164c18c59ee21bafca01ce671
43174,https://github.com/romit-maulik/pyparsvd,swh:1:snp:a87e0457bf5ac2cbccd8922787310bfd8d058c92
43173,https://github.com/tuhouwang/MultiLC,swh:1:snp:4af37df24c44de50104246218cab3e09358c3f19
43153,https://github.com/tuhouwang/NM-CT,swh:1:snp:8ad0e7e04511c42099e8947de9780d551ed89861
43142,https://github.com/andybbruno/TSXor,swh:1:snp:86366bed05d2c0ce5d319c20604cbae1312fc340
43138,https://github.com/davpersson/a-hutch-,swh:1:snp:50992434c6e5120985c37c27cb4011f70122cd81
43126,https://github.com/ablab/quast/,swh:1:snp:52bf975cc606c78516e50a127fa591b30db3e7f7
43122,https://github.com/anuradhawick/LRBinner,swh:1:snp:043cb10a88ee8cce95375f3ac80ce5130cdb3721
43121,https://github.com/metagentools/MetaBCC-LR,swh:1:snp:fbd590af1ebdd3ec502cd8e09e7bbec87e6a31ac
43119,https://bitbucket.org/berkeleylab/metabat/src/master/,swh:1:snp:afad628c817c3a51134f01b3c1e729b784618513
43117,https://github.com/anuradhawick/oblr,swh:1:snp:a2c94973ae170ff4e7213da124ff7ea45ea8ae4f
43115,https://github.com/sunghwank/spmindex,swh:1:snp:e7deff077f06066021e2cfbb349b76b4eea73ba7
43110,https://github.com/zq00/glmhd,swh:1:snp:e240474a40e37fb411948733ec668f17192727f3
43103,https://github.com/gkarapetsas/rheoMultiFluidInterFoam,swh:1:snp:36645294f14b6fa7a91ae33f319364747335cc27
43102,https://github.com/gkarapetsas/multiFluidInterFoam,swh:1:snp:ba9618a32eb254eda850c4cb84983f5791357ab6
43064,https://github.com/haimiaozh/MetaInv-Net,swh:1:snp:860947b1b4c5be47c5de0ac66b66cbe5b039b38f
43050,https://github.com/TorchSSL/TorchSSL,swh:1:snp:9fbf3b653a25bdedd8939a7dad8d36135ed99a43
43048,https://github.com/torchdrift/torchdrift,swh:1:snp:ef18848ee07cdb323bafaf754d76b353a9d96679
42532,https://github.com/clovaai/CutMix-PyTorch,swh:1:snp:ea7c50f9365cdccc08a41a63ff4077de1cb151e2
42531,https://github.com/elbuco1/CBAM,swh:1:snp:56a1d5f501054a8d00c52ead9e55e9543f953114
42530,https://github.com/BangguWu/ECANet,swh:1:snp:56d2e6f6b93b982ac296c21cb25a7d1835f01caa
42529,https://github.com/shahroudy/NTURGB-D,swh:1:snp:acd6191a775807e43c1a42e78470e741e2007e51
42527,https://github.com/SchafferZhang/DADA,swh:1:snp:34641335c24fc376d583f3f375b945ef08845895
42523,https://github.com/MultiDIC/MultiDIC,swh:1:snp:cb1f5e3a3153726b21dc650cac9b0179469406e9
42521,https://github.com/hanzhanggit/StackGAN,swh:1:snp:91ffbcb1c46f91d1b746bbe54fe5ea2e03751d1e
42520,https://github.com/jwyang/lr-gan.pytorch,swh:1:snp:a4789f67fbd20c6d950e61a5be4d96099c6a8fa8
42518,https://github.com/SNAS-Series/SNAS-Series,swh:1:snp:17fec1ce5a1c965f1834025bb83db51740d9b360
42517,https://github.com/tntrung/gan,swh:1:snp:a55fbb22e24b082e2b41ce067af2fc980e51b5da
42516,https://github.com/MenghaoGuo/AutoDeeplab,swh:1:snp:df5d94535e513027d066130ec7b34f5ebe80a231
42515,https://github.com/wtjiang98/PSGAN,swh:1:snp:c9c7a0ba9ac94bc530afb6eabd5ae69ef4aa0b20
42514,https://github.com/qhoangdl/MGAN,swh:1:snp:08896c5eb117abdf830e65103688eed66b900cf2
42513,https://github.com/hehaodele/ProbGAN,swh:1:snp:ca37421da2e87294713cd421a9a7ea4cbff56210
42512,https://github.com/Boyiliee/AOD-Net,swh:1:snp:4de5612ac0ae263b57ede7f18260cd7624cb0972
42509,https://github.com/jhoffman/cycada_release,swh:1:snp:3fdd067069bfbd86248d53b73d15547f170cfcc7
42508,https://github.com/yunjey/StarGAN,swh:1:snp:577539cf784044b3af93c59b4c8d090eb6ad1322
42507,https://github.com/kglore/llnet_color,swh:1:snp:56fba533d7270351009c2dff6c9f271fe056641d
42506,https://github.com/covarep/covarep,swh:1:snp:be0d13f362a6252beeab5949bb4b9099ca0eca99
42505,https://github.com/cdancette/rubi.bootstrap.pytorch,swh:1:snp:98a96a69df48e8f17137c6acc9459ccc628d3392
42503,https://github.com/facebookresearch/clevr-dataset-gen,swh:1:snp:c648e18b940e6bae9084e0b8635001ca4fff237b
42500,https://github.com/uclanlp/visualbert,swh:1:snp:6062a4b4a85468db27041820fe25e7ba6e372b09
29865,https://github.com/cran/bootcluster,swh:1:snp:50d7df38c4e6e5e7c93c59c252025fc8a05620bf
33778,https://github.com/cran/chirps,swh:1:snp:9ba78c575a74a3920bf5b397a40e3923453abb5c
35838,https://github.com/cran/changepoint.geo,swh:1:snp:fca49124377e86de79f2c13a8f3a8bd2bbfa7272
35982,https://github.com/cran/swdpwr,swh:1:snp:a2671ddefbec4e859c4383800e1435483e0ef9be
36806,https://github.com/cran/aghq,swh:1:snp:272e37c9ae67ea04aed65b75179d01c3e848c2a4
38224,https://github.com/cran/fddm,swh:1:snp:65e77b7dc4ae83549996bf8489abf888634a0f1f
38225,https://github.com/cran/ivsacim,swh:1:snp:8992d272e4286042b3d8eaf789049fe808144bc0
38228,https://github.com/cran/jti,swh:1:snp:56fb56cd7c2e087e67f83a2f054d2f3c6c3e9cc2
38293,https://github.com/cran/tsrobprep,swh:1:snp:30aed6f23a1702096597cd3af47f4a9f7c9a8bc3
38645,https://github.com/cran/card,swh:1:snp:651f242387058f83485ea9d66c5a124d707eaeca
38666,https://github.com/cran/ppdiag,swh:1:snp:0d1e07d9ae9bd80de6954642822883a4f5e3c667
38798,https://github.com/cran/academictwitteR,swh:1:snp:a044a245a7e415974def29a30c455f13da3f76ee
39606,https://github.com/cran/bnmonitor,swh:1:snp:f8f1dcf02deab6caa423d568a975df47da1a77f9
39770,https://github.com/cran/bmgarch,swh:1:snp:c5c93d6bfd9b4359002dcc0f5a8caa6f30fef2bf
40435,https://github.com/cran/serp,swh:1:snp:3888b9dd2e812f8522ecc5ccfcea3c310ef0b206
45215,https://github.com/yaowuliu/ACAT,swh:1:snp:a0557f571004eab8ffd06ec5ccd5cf0897a2888b
45212,https://github.com/stefangraw/pwrEWAS,swh:1:snp:9e382c7cd3cf3674cca3666be720be8235256f67
45208,https://github.com/highamm/sptotal,swh:1:snp:47db931b4c47bc26d612966b2d2e17ce9ad5e933
45203,https://github.com/haolsun/dual-glow,swh:1:snp:52622d158bca4d95d46882e152fc9df804e513f6
45201,https://github.com/memad73/DualSR,swh:1:snp:0a7ca068a5a660aeed767b1d3bc6a30c10c90a02
45190,https://github.com/dkaramit/NaBBODES,swh:1:snp:0f231038b3c1ce69701445de429536fd349f65ad
45185,https://github.com/lrfinotti/witt,swh:1:snp:af86217841a9311085e1473577f83616beddbe07
45182,https://github.com/pmli/l2-opt-rom-ex,swh:1:snp:fef4f0898fcc9ba5c5a707365eb345140f3cc580
45181,https://github.com/mabessa/F3DAM,swh:1:snp:865642bac6de34a1ebb6dcef77efeec6091c2aa4
45180,https://github.com/celiaescribe/BDcocolasso,swh:1:snp:e29617dfab4132b24028cc08769c7458fd2b870f
45179,https://github.com/cran/lass0,swh:1:snp:2fed0cfd13273d1e8a6d092507efcd06b774c50a
45178,https://github.com/niess/danton,swh:1:snp:eae4325f0b6eafc80ff06070baaf014a764d430c
45171,https://github.com/jessealama/mizar-items,swh:1:snp:92b11135b7edd81c7f6791a1c85e211cc4de6f95
45168,https://github.com/nw2190/ConvPDE,swh:1:snp:90149cb07e7513c614c443a3d757c89082e84e93
45165,https://github.com/TUDelft-DataDrivenControl/WFSim,swh:1:snp:353aa76cab6608f0826634a49b0dd691830af358
45162,https://github.com/Azmisov/corde_simulation,swh:1:snp:daddf045bd55e93ad3a32fdeca2ea021c0a8dfb5
45161,https://github.com/lkulowski/LSTM_encoder_decoder,swh:1:snp:1f7bc54dd62b71ae263c2b11b6ba2e894d26387e
45160,https://github.com/chiao45/mgmetis,swh:1:snp:df4b9faa19162bb9765d8952bd5c2e5dbc02bcd2
45159,https://github.com/pwin/owlready2,swh:1:snp:346f523187cee92c7f983e0be9e65eefdd912b3b
45154,https://github.com/duffell/Disco,swh:1:snp:a793db8177a199637ae73e64fffa902a7627bb06
45153,https://github.com/franticnerd/taxogen,swh:1:snp:06125bb5eae15dec497eaaeb3fe6d10eb91eefb7
45151,https://github.com/opensourceBIM/bimql,swh:1:snp:31cf8bb8126dfbe2c74b52fd2113d3de70859fbd
45150,https://github.com/corinaflorescu/PositionRank,swh:1:snp:e137800f9563dadb9ef9579c1154ae279b102eed
45149,https://github.com/salesforce/ctrl,swh:1:snp:c328e3fe75d97a1017f154f8c165c424b8a2d7ff
45147,https://github.com/acatovic/textrank,swh:1:snp:10b29c5ece3114e259dd4a737c0f9af28bdfe054
45144,https://github.com/UCL/fan-slicer,swh:1:snp:b8757c7c5dc993762f484f47ce005c2b0c2fc054
45138,https://github.com/xuhanwustl/WrayAgarwalModels,swh:1:snp:1aacf519db764ba642a84fdddd4e7ae1700a6e85
45132,https://github.com/mrmrob003/amplituhedronBoundaries,swh:1:snp:9b22728cd51fcdc2c328d2ae58ab6a4256e18e2e
45130,https://github.com/buaazhouxingyu/topoana,swh:1:snp:e4c47d957fcf0b893e19c25f8f7e3a4a789e194d
45128,https://github.com/andreluizbvs/VoxarMPS,swh:1:snp:b0bde19272f3770253ac652a5420c49f3c497d3c
45126,https://github.com/issp-center-dev/Komega,swh:1:snp:8b5fd66a0fbfccce2ec18d8bf3709492c68dde4c
45125,https://github.com/mitmedialab/sherlock-project,swh:1:snp:a24099ccb1b7c527ba373dd1ced20aa93ffbaff4
45121,https://github.com/FeynCalc/feynonium,swh:1:snp:5b8a86994248488a83418ff794d0705e3377b1a6
45112,https://github.com/hitbc/deGSM,swh:1:snp:fd63656034b6cdaf0aa3adcaaa7ca4109b3d1f98
45081,https://github.com/facebookarchive/pose-aligned-deep-networks,swh:1:snp:5db4404c42138be7642b6f33a0ffe932f2c0be8a
45076,https://github.com/rtqayyum/fognetsimpp,swh:1:snp:272a59b985bdf22376263f7b8b31581280a6f390
45073,https://github.com/ISEC-AHU/FogWorkflowSim,swh:1:snp:85889575229c9fa153ac8cff67328059788be8b5
45051,https://github.com/MyHerket/Trivalent_Stratifolds_Graphs,swh:1:snp:5ce7526029ae6a8612de0bde33e8e93a2e321e35
45047,https://github.com/cran/zoocat,swh:1:snp:2ac4fcc19287492ca9c34cd7f279d34181464255
45038,https://github.com/microsoft/VoTT,swh:1:snp:c8462707bde4a92e78bb159f22c6ec1a6e98afff
45036,https://github.com/heartexlabs/labelImg,swh:1:snp:d25bf9cd9b4b12f67855d3fecb4a250ee4a93ade
45033,https://github.com/kailaix/ADSeismic.jl,swh:1:snp:835ffb24dea766d59e629170189e9c8907869935
45030,https://github.com/nigelrogasch/MAGIC,swh:1:snp:c178f56a31843922622002bc530e0b1600edc0c8
45029,https://github.com/nigelrogasch/MAGIC,swh:1:snp:c178f56a31843922622002bc530e0b1600edc0c8
45016,https://github.com/clguo/SA-UNet,swh:1:snp:00f603817f88abec9dc3f566da3a4cca91dd6cbc
45015,https://github.com/conscienceli/IterNet,swh:1:snp:65f0cf9ad2704ca4bc1eeeb302328015a001491d
45014,https://github.com/YeWang1576/SpatialEffectPackage,swh:1:snp:d6f0d407a3897a64a98f93732c6673fed0be837c
45010,https://github.com/ALPSCore/CT-INT,swh:1:snp:2f94023fb51da8a8645c8864dfc3362fca75eee6
45007,https://github.com/jevonlongdell/qotoolbox,swh:1:snp:8447c518cf793d88e8eb67d93fa9da205ff65710
44871,https://github.com/cran/glca,swh:1:snp:58d1c256ebca99e23c2e4d0d4de734f64a80ca87
44383,https://github.com/cran/pder,swh:1:snp:797d0fa8acd2044b4a258d69671758d59e12481d
44314,https://github.com/cran/studyStrap,swh:1:snp:4c4cf9ebf9f8d31a318a73f8fe8021ed5b85bc6d
43811,https://github.com/cran/Apsimx,swh:1:snp:a2a248de7e152dc817801adb8c5d453aa0a7a4b8
43640,https://github.com/cran/iRoCoDe,swh:1:snp:c972452a1f6b7283bd0139d2dc312f2666d24863
43544,https://github.com/cran/mapboxapi,swh:1:snp:b2129ad0b4cc800db1e25933426cf84ea65a3df4
43472,https://github.com/cran/pedsuite,swh:1:snp:35eb9c9c6a08ffea1bcaa50c2867ebeeb9b6ab5b
43246,https://github.com/cran/glottospace,swh:1:snp:cb246bc13cfa1f1c755d6a1992211fc93dc47aba
43076,https://github.com/cran/gofcat,swh:1:snp:08cbd2a8084b30b40e697b95fd6cc8e0f97c9784
43058,https://github.com/cran/scidesignR,swh:1:snp:27fd159746ab951145f3920662f2cafc9da4ef12
42860,https://github.com/cran/archeofrag,swh:1:snp:48c0f3ae2a2711caeb972ba6770732e96b20832e
42796,https://github.com/cran/SAMTx,swh:1:snp:67220586096cc77adbb6fd58c6506a6946eb7447
42776,https://github.com/cran/ccid,swh:1:snp:367b86744a3cb146c1ff240a025e225ac28a3be5
42288,https://github.com/cran/eventglm,swh:1:snp:d8d12675913fd8e99901ce509a0b101c5f4a7161
42280,https://github.com/cran/covsim,swh:1:snp:8c8cc5e665e2ca8f73178e0c993e0e48ff03b588
42215,https://github.com/cran/ElliptCopulas,swh:1:snp:5edaa5b317d2e725de32ba9fea33ef0844decc94
42213,https://github.com/cran/eBsc,swh:1:snp:65dff2ffd325694bac075143589925179c2bf2b4
42197,https://github.com/cran/HDLSSkST,swh:1:snp:40eac0204a8efbe88eed9a27f873dcca999b16cd
41552,https://github.com/cran/covid19br,swh:1:snp:e755e73ff87bd2f0b81a8d86712771e27b51cf2d
41368,https://github.com/cran/RandomForestsGLS,swh:1:snp:cff86b548b7a7c165209ffe429d8214d4175596b
41216,https://github.com/cran/dmlalg,swh:1:snp:abab1e4132740521f57a4ba754a049a687e67ebf
41192,https://github.com/cran/HCV,swh:1:snp:b2309ec606560233b2452d268091dfbf756100c6
41191,https://github.com/cran/bootComb,swh:1:snp:a8e298d08d18d48b27bf759987285d84c9345f00
45383,https://github.com/cran/MNB,swh:1:snp:269a952794bcd30b778ba6a964dd1c3c29075266
45976,https://github.com/cran/bibs,swh:1:snp:ffe2dd9cc757ec00f83d3a117a8a4e615a0ac6e7
46372,https://github.com/cran/GFisher,swh:1:snp:1867ac8e08b0c9afea7a9e07794f2cb290718753
46683,https://github.com/cran/manifold,swh:1:snp:c898aa215f9e689eb20697237f2ebb1d28a2ddc9
45808,https://github.com/cran/twinning,swh:1:snp:23f393c7f756efa358659f8ed8c12cc232f99761
46277,https://github.com/cran/MMDCopula,swh:1:snp:42abaa3907345416aebf9d262ce39d42f3bd598e
45810,https://github.com/cran/gbmt,swh:1:snp:081075aab13da243d1a64103e1105f32f4bf04cb
45824,https://github.com/cran/quickNmix,swh:1:snp:97f9735458101f0b44c9c0aeb4c26326daffbe14
46809,https://github.com/cran/Iscores,swh:1:snp:6258f0fb4a6cf47f24c7ec9b548099a6eca0c1ce
8050,https://github.com/cran/doMPI,swh:1:snp:4fbb7c29e5e6487d98c70941a283e942d306af53
8156,https://github.com/cran/mixdist,swh:1:snp:ce3a2d3e7bbad6518be047497ff08be7202ff167
11127,https://github.com/cran/frontier,swh:1:snp:833b64b32ae93e7f5c8333ccbbd3670f0fa12182
11227,https://github.com/cran/ibr,swh:1:snp:fdc706cc394b363e8c58cd1abdf6ef63525416bd
13954,https://github.com/cran/nlsem,swh:1:snp:6ac6784729cabcac804995d0ad8a05427153f1a6
14522,https://github.com/cran/mratios,swh:1:snp:997e7bb8deae904a8f85bc61913504768ce1adee
15233,https://github.com/cran/ecospace,swh:1:snp:df7d917605836e68f8f0348eabfd0cf9b32d356a
15964,https://github.com/cran/partools,swh:1:snp:f09ed28eade7ab5f72cced225a6225e162fb8cde
16118,https://github.com/cran/BayesLCA,swh:1:snp:dc89cd0e31b1e298267d1d80fe768a0c839d47c6
16307,https://github.com/cran/funModeling,swh:1:snp:dbfc36730f3ae77b648f422e6537dd3e3a3a502a
16311,https://github.com/cran/rtk,swh:1:snp:8fcb441409c676c0c1aab581e982e2e438d3833a
16509,https://github.com/cran/captr,swh:1:snp:451359bf791c0aef9e3f86a92e0c3df5c6b12274
16582,https://github.com/cran/tpAUC,swh:1:snp:6597abf4bce69ba18723396c11554784cd66a751
16676,https://github.com/cran/DMRMark,swh:1:snp:a7e50e0351f40bb026a47fc650bd9ee86a15a15f
16698,https://github.com/cran/RPEnsemble,swh:1:snp:f5f969d62a9c0485f50e143e84d11271739fa8cd
17071,https://github.com/cran/medicare,swh:1:snp:fe8251d8f4ee78769a6d1627fd5a93764f287675
17083,https://github.com/cran/rpql,swh:1:snp:e1fa71b455d221e17e3f9121474f636871a431ca
17781,https://github.com/cran/stablespec,swh:1:snp:d9a15e91eaedbc482428909077b0dfdfa9c5c997
17905,https://github.com/cran/rtrim,swh:1:snp:6565c068369efec0e9867b5fe397a641eb859638
18370,https://github.com/cran/metagear,swh:1:snp:a57c15c5c897fe2546c8bef4e923623630261c32
18374,https://github.com/cran/highlightHTML,swh:1:snp:b99f13528ef90dc18a2a9f1145e90cef54a366be
18376,https://github.com/cran/makedummies,swh:1:snp:3b19a26fd6b27f5db6b6551568650ad0a2fe937e
18377,https://github.com/cran/pcadapt,swh:1:snp:38c52ee560ef989e438ffa0aeede1bdf38fa407d
18445,https://github.com/cran/backShift,swh:1:snp:f39a0ac727425411e8b3bc35dc037acf3421d84a
18449,https://github.com/cran/longCatEDA,swh:1:snp:102306de60b01b6fbae7842b12b5e06c6d522a22
18761,https://github.com/cran/PGRdup,swh:1:snp:0052f3bce60a3ea2eeda0e3b66790bbdc191347a
18827,https://github.com/cran/jocre,swh:1:snp:5a0dc5c9d2a799f5f55d21ec67f771c8fdb11a53
19128,https://github.com/cran/compHclust,swh:1:snp:fb472a0857baef9416aea232478793e8cf72c373
19197,https://github.com/cran/MMDai,swh:1:snp:2775a0c15fec7278a07fac020fb2303a8e7859bc
19449,https://github.com/cran/tsqn,swh:1:snp:3fef6fd14c0f70af5e9e4aad0e2978601112c5c3
19520,https://github.com/cran/afmToolkit,swh:1:snp:262d62ec730f8d9f3b8f0ab31ab8a088bc86ddd3
19526,https://github.com/cran/FSInteract,swh:1:snp:4ef7b939d476c4f149bd88b4ab494b7e1992d172
19530,https://github.com/cran/RCEIM,swh:1:snp:c9125e5a248cce2c4fdc2aa8c57df09cbb9d3e7a
19532,https://github.com/cran/RsimMosaic,swh:1:snp:586b24739360430af3ab3624ac3ebbcc07010111
19745,https://github.com/cran/censCov,swh:1:snp:cfd025ca860771608b97b062d2c43d8c68e6dbc4
19920,https://github.com/cran/coxphMIC,swh:1:snp:0927b154efe6fea01ec696d223f28789cc5e87dd
19965,https://github.com/cran/bnnSurvival,swh:1:snp:aa1404675db6e16d2f40025025a54a4f7631e1ef
19967,https://github.com/cran/lindia,swh:1:snp:acd426c37b7ea7b9da31fc7451b94f12ac265f35
19970,https://github.com/cran/RootsExtremaInflections,swh:1:snp:a95cc83b3513be0e39dc655efac13e30ffe72c7e
21193,https://github.com/cran/RTextTools,swh:1:snp:86584d8db9f584fe71f4f4a8741363823499e02f
21197,https://github.com/cran/simest,swh:1:snp:0fad4c4b2e36d9d8e0636c9b14e5e7cbc04e8c5e
21903,https://github.com/cran/midasr,swh:1:snp:b459e7a032a9216ecffa2dc50793c5a593826a24
22357,https://github.com/cran/sinib,swh:1:snp:5723e1786b48110f661f0d282ce7648cf89060b5
22860,https://github.com/cran/BsMD,swh:1:snp:5fc3dbff9e6a7a94b61f53e28c461bf2839db9c4
23602,https://github.com/cran/GADAG,swh:1:snp:8bf28f374d9dbae2c2c3bd826d89a785bdf16281
24097,https://github.com/cran/msme,swh:1:snp:8db2ef035cb84e72c56ad668e833ead148af0887
24340,https://github.com/cran/hydroPSO,swh:1:snp:c0a69a269eb8ead29138f4b2338b3fcb8ff5f390
24760,https://github.com/cran/rotationForest,swh:1:snp:28a18c9dba30648415df7f641cab0530e7594038
24761,https://github.com/cran/fdrDiscreteNull,swh:1:snp:e88a415d7e3e7d3e6e8c74b7ee2409356c711f7d
24763,https://github.com/cran/sadists,swh:1:snp:222c55c3cbb6fc42d049d63a76d1d18449bd1df1
25059,https://github.com/cran/clustMD,swh:1:snp:b62dd1c764d6433aa1ae7567134ce622156531d7
26028,https://github.com/cran/tseriesEntropy,swh:1:snp:580188ad1bf5ad0d92eaa66db0c5ee9e2e9b6af2
26303,https://github.com/cran/lmmot,swh:1:snp:6b128734e57b50b44fa603a7753f1cb9b896934e
26562,https://github.com/cran/COUNT,swh:1:snp:7cf4f1a9d18e1515104751205d826d12b6a4469b
26698,https://github.com/cran/BLModel,swh:1:snp:2eff602cdc2c284967484239a9929252b1de0881
27359,https://github.com/cran/marcher,swh:1:snp:9bf3c87c3d1a1ab1b07dea7d561de65355304201
27378,https://github.com/cran/m2b,swh:1:snp:78280604d0ab6e0261dac2f82c7bb465a85a165a
27758,https://github.com/cran/parmigene,swh:1:snp:dbbfe4e6e2ab5be911bfb17f4176ae5e8b5c415c
27904,https://github.com/cran/rsubgroup,swh:1:snp:e228751260c709e358edee19812de3a7a5815c1e
28705,https://github.com/cran/OasisR,swh:1:snp:24d17a50044b66daf2e314bb83403519f09ba45d
28708,https://github.com/cran/seg,swh:1:snp:3dcecb97560a0635a7ae0b5e6485b87d5e05115c
28970,https://github.com/cran/rdryad,swh:1:snp:e8347470f7603e44b42a7f56e34e1c2b23b5007c
29171,https://github.com/cran/waterData,swh:1:snp:62af1a2523f9ba5148b3f4adbd9c3591353a6576
29413,https://github.com/cran/modelDown,swh:1:snp:b1ad1c1a189c7c79bd783736da2180927519591b
29414,https://github.com/cran/drifter,swh:1:snp:0c478f9ff378f0419e01b057aafd780d76ae0fa8
30051,https://github.com/cran/BinaryEPPM,swh:1:snp:8b7a6fa9027dbe7da5067f167efe853fccd59086
30141,https://github.com/cran/angstroms,swh:1:snp:0f872a9d1063f2f66e8c6e47aa821b7976889e52
30834,https://github.com/cran/lspartition,swh:1:snp:48bdae470c6cb7ce9d78eae52aa1008f9d3db7cd
32717,https://github.com/cran/goft,swh:1:snp:2f0d4924585ea4b5f61ab3547766c5f222ad19d2
32773,https://github.com/cran/augSIMEX,swh:1:snp:47c23d7a4ec9e3f90f26eedbf9206636aaabad47
32774,https://github.com/cran/HMMcopula,swh:1:snp:32770d797f93f4362399bed5c42194f757897ec7
33152,https://github.com/cran/OTE,swh:1:snp:a3304fafb9c6d37323cbd5fcca62434df41f6ff5
33362,https://github.com/cran/SentimentAnalysis,swh:1:snp:4b35ebffde4762f02133e431959c38b494b530be
35486,https://github.com/cran/sinaplot,swh:1:snp:d91c10405f480eb23ca937c6f13fbb649d001b2c
35498,https://github.com/cran/validann,swh:1:snp:3adce4517d8a764b1f20a4e191539c9b23b4b030
36218,https://github.com/cran/ANOM,swh:1:snp:19ae43368a5feb4524ad80fe093572ba6ef9cc19
36818,https://github.com/cran/FEprovideR,swh:1:snp:27124ca99b43e5ca5d64f068db8f3e0cfe6cb0e2
37923,https://github.com/cran/BayesianPower,swh:1:snp:8d3f5d7a078b0779fa09480e4e3f251f0fdcd1e9
38231,https://github.com/cran/mscp,swh:1:snp:9d1ef9529f32fc61c74f4e3db9eeebc87a2988bf
38295,https://github.com/cran/imputeFin,swh:1:snp:382caccba0794bede37cb043089761b22ffdf78c
38528,https://github.com/cran/iconr,swh:1:snp:aceff79c4e406dbf136a9ee7288ca37517318f8c
39085,https://github.com/cran/gravitas,swh:1:snp:2c20cb9ed6c92cff0681804ba0d3489e9a276cf0
39614,https://github.com/cran/mmaqshiny,swh:1:snp:ebd02ef7124f214f5d279dfb5cb2fa8cdca7e0ab
39969,https://github.com/cran/XICOR,swh:1:snp:617d4e48f844a43ca19b98f511c48978e711955d
44538,https://github.com/cran/esvis,swh:1:snp:819689eae234d6933c3430a1a279d85d85eb14c3
44150,https://github.com/cran/saeeb,swh:1:snp:b8f56e7c643bae215b9e52a0377c63ed03a9935c
43875,https://github.com/cran/DTRlearn2,swh:1:snp:e731399424deb9c95f72d375798016594589d6e8
43679,https://github.com/cran/odeintr,swh:1:snp:bed317cde0b1d1820b752f0d759a17bd5a2e1c5d
43002,https://github.com/cran/ipcwswitch,swh:1:snp:86f92d584bd28b5b25aacf8919e7fe4ed9c9b936
42771,https://github.com/cran/tfCox,swh:1:snp:e99d6566828adf7e3f322bcecce8a52146096525
42290,https://github.com/cran/MPsychoR,swh:1:snp:0d12d19c6044ebc9207ae27a41061301f217ae0c
42067,https://github.com/cran/MGMS2,swh:1:snp:81b951271ed66eada8a08ef741680d84cade3d39
41738,https://github.com/cran/FastPCS,swh:1:snp:5376ed92242c52b0bcc1bb737355fac4d8c0f8ec
41541,https://github.com/cran/GMPro,swh:1:snp:377692648551235df7fa039ed966db0500c6dc59
41268,https://github.com/cran/lvm4net,swh:1:snp:fd1e26ae437adddc7d534582ef859559b21719c6
40908,https://github.com/cran/LSD,swh:1:snp:88c5d99d280df1aa9adf6fcf8f5022148fda7182
46020,https://github.com/cran/bioinactivation,swh:1:snp:cc6b47191d4a700944c9dd74336b447739638181
45989,https://github.com/cran/EcotoneFinder,swh:1:snp:0a65fdaab83367dd10612cd5e66c91a968c15906
46310,https://github.com/cran/rbart,swh:1:snp:2d8ae45d31cd02bfc100fd95e718943066cac59f
44926,https://github.com/jemisjoky/TorchMPS,swh:1:snp:e753a3be174ab07c5a03891184a0829073566d06
44925,https://github.com/lanaperisa/TensorToolbox.jl,swh:1:snp:6efe2e440753328aef77fe175e23790526870446
44921,https://github.com/romeric/Fastor,swh:1:snp:db76830e7cefee34bd71258c68dd2e58622d57e7
44920,https://github.com/hksorensen/TuttePol,swh:1:snp:e4294e836ed6554e85fac4e63593cfdcbf0a29db
44917,https://github.com/andreabedini/tutte,swh:1:snp:284a63c3442c2f30198ff77875477c489e460382
44908,https://github.com/jsspencer/testcode,swh:1:snp:81ad477ae90c5628f200635a6f2592f26d2aba31
44905,https://github.com/smorita/mptensor,swh:1:snp:43fbd8d54f6102ce3611f9b9a50ee99063f97f17
44895,https://github.com/nicole-spillane/GenEO,swh:1:snp:80f97934aeb010411f7b6f0d255981bb758db1a4
44894,https://github.com/djukanovic/qct,swh:1:snp:662f1e75144658a17b208928e02e6c0843c836ba
44892,https://github.com/wenyuan-fan/varRhoTurbVOF,swh:1:snp:18aec65777f16a24b217860421c22f77f061840b
44891,https://github.com/jhykes/nuclide-data,swh:1:snp:515a04152be7bc8214d055971274512f09a6007c
44885,https://github.com/tkazusa/CVAE-GAN,swh:1:snp:61e8e32e5bb008e3a12784e1804631b6b8b08c6c
44882,https://github.com/jiayi-ma/MEF-GAN,swh:1:snp:9f99d1bb92a547cab855dbad9ceea06a7c0c35c9
44881,https://github.com/duxingren14/BSD-GAN,swh:1:snp:0980f47a316deb9ee3ca86337bf5a725c2fb67aa
44880,https://github.com/uzeful/IFCNN,swh:1:snp:74e6817be531b0b0f52d729abb04adda93806716
44870,https://github.com/tathey1/autogmm,swh:1:snp:f39255f0e4edc99d50639019bd4959ad689d6c64
44864,https://github.com/mlr-org/mlr3keras,swh:1:snp:34d97c47f6605285842b4dcc5747e976c4e25b99
44862,https://github.com/hoxo-m/pforeach,swh:1:snp:0fa383640e9e8e05f19bf0b61934a672dda2093b
44861,https://github.com/katokohaku/featureTweakR,swh:1:snp:a0937d22f74faf88eabf55c74649373f5803de83
44840,https://github.com/geoo89/orderkdelaunay,swh:1:snp:63c6e3ffc04816596841ed915be44a376227f8b8
44839,https://github.com/geoo89/rhomboidtiling,swh:1:snp:e33ae15a704bf796c42b5d190cae27ebf3441baa
44833,https://github.com/arcalab/hubAutomata,swh:1:snp:ce478e06448effc917dc2e124a8b29345618e2c7
44832,https://github.com/andcol/proto-quipper-m,swh:1:snp:eae45cf11ab9ae6cb4dcd330f886dc0b240597f7
44830,https://github.com/grin-compiler/grin,swh:1:snp:69b8e9c1d173e7ee77149300ea2299ce32354cb3
44824,https://github.com/duncanatt/detecter-inline,swh:1:snp:092e4da9cae1dbe34765a6cf237c983afe9fd6e0
44819,https://github.com/springer13/spin-summations,swh:1:snp:71693801daa55d768ba897215bf1ad777e0832e0
44811,https://github.com/wildmeshing/TriWild,swh:1:snp:ac2d898fa2eda0655c17193d80f255d280988d70
44806,https://github.com/arichardson/juliet-test-suite-c,swh:1:snp:cb71a729716c6aa8f4b987752272b66b1916fdaa
44803,https://github.com/zhanggenex/ovAFLow,swh:1:snp:3a1bf72ba22db358849f70d9e770466462f63be0
44802,https://github.com/jumormt/DeepWukong,swh:1:snp:19778ffebdaee12126cc4351bc7f8434aa604012
44793,https://github.com/RikVoorhaar/bgg-cohomology,swh:1:snp:dec2fcb83caf4ce648afb363b940e6ca1ddad07b
44790,https://github.com/variani/lme4qtl,swh:1:snp:fd58cac9d2f2f7c4f600f371810dadd84c9f0a6f
44777,https://github.com/audrey-b/BUGSnet,swh:1:snp:e04401c4892821409524d4c9cd8ca1e91f06e5d4
44743,https://github.com/HrgaT/MADAM,swh:1:snp:4d7597c3ec77c30a30cec1b163bf7d055e9068ad
44731,https://github.com/IChollet/defmm,swh:1:snp:3900407fbb0351723b0ade45b298186694b7b603
44728,https://github.com/mathcom/G2Vec,swh:1:snp:b85d7bc3279b005017922bdecce36c316128296a
44703,https://github.com/nveldt/PushRelabelMaxFlow,swh:1:snp:4cd22c9d1ed3c5d9c5c08e8d4fd22d47ff69fc57
44702,https://github.com/INK-USC/KagNet,swh:1:snp:834bf6a8db2aa07a76f3a2e274863392dfc27da6
44701,https://github.com/zhongxia96/SemSUM,swh:1:snp:377c540c008add8639471961f3f1a1599ad01eba
44696,https://github.com/wenhuchen/KGPT,swh:1:snp:bf2796ccdb27cf4225c4d9eed0ffce4a2a54269f
44695,https://github.com/caoyu-noob/BAG,swh:1:snp:aba7c60104a39ba2c6f1924c55ebda57c6722f29
44694,https://github.com/snowblink14/smatch,swh:1:snp:6eb26345fb2f1a7acf05c5cb8329c5581f059a83
44689,https://github.com/kfoynt/LocalGraphClustering,swh:1:snp:138f9bb4581905879d89ed13eb7dcb7591033446
44686,https://github.com/theochem/procrustes,swh:1:snp:8344cb90cbff47d2d87ae2db3b3d4ff611f44d44
44684,https://github.com/GPUE-group/GPUE,swh:1:snp:8e789a6cda4de953546be484605633d587467a73
44681,https://github.com/txsun1997/CoLAKE,swh:1:snp:b462b90b9fa73cb5918d1392e3ee6aa7026a144a
44680,https://github.com/JiapengWu/TeMP,swh:1:snp:4c900856b6a8bd83c7a48e54f80d39e5ea19c92f
44679,https://github.com/JuneTse/ReInceptionE,swh:1:snp:6e03dddee83963a5b62a6cdf3f89448d33ae2cbd
44678,https://github.com/IBM/Graph2Seq,swh:1:snp:10b441a12d6e365b30aaf6cafbc882aa856d9fee
44677,https://github.com/yangliuy/aNMM-CIKM16,swh:1:snp:450e8c77f47fa5fe1470e1e1a818d9b3acce9c9d
44676,https://github.com/kimiyoung/glomo,swh:1:snp:ac334e2d56716d8a8acf1d58015cdbd4a9293d3b
44675,https://github.com/valdersoul/GraphBTM,swh:1:snp:84a8f779bd161bf9ae374f36f126fcf40b83d783
44662,https://github.com/szhan/pyrqa,swh:1:snp:48c0a0421c096357120f4521ce6516db00b145ce
44654,https://github.com/xinming104/GemBag,swh:1:snp:2be978b56009b804ef3b16a6d89a4c6931833acc
44653,https://github.com/edebrouwer/gru_ode_bayes,swh:1:snp:4effbdc2bfee86dde553f578c13b774b1cabe07f
44652,https://github.com/patrick-kidger/NeuralCDE,swh:1:snp:f1f30e073bb1d840d0c6e160c9fc8ef4e759758a
44645,https://github.com/gamcil/clinker,swh:1:snp:38dd6d67edb543d0e9588565ec3c8aae2c572887
44637,https://github.com/zhoudaquan/dvit_repo,swh:1:snp:665823ef4f154f18032d76b1959a6b9864aa20c6
44622,https://github.com/nmecsys/nowcasting,swh:1:snp:7a645f70b2ffadd03328abaeac23e02d1c8fe158
43255,https://github.com/D-PLACE/dplace-data,swh:1:snp:532754192ccd8798bd70266c287a0a9b08c4d26c
43254,https://github.com/autotyp/autotyp-data,swh:1:snp:8f4ce91cc4ab94454adbf60f280501e6df92a9e5
43253,https://github.com/cldf-datasets/phoible,swh:1:snp:1f9295b85c433771cbbd123a3b53ad754e65a81a
43248,https://github.com/cysouw/qlcData,swh:1:snp:f8ad6a1625136af898dc93920051b4a81e983e20
43243,https://github.com/copmat/LBsoft,swh:1:snp:dc38625679e682e61ca64061ae987fbdf4a77627
43240,https://github.com/valeriabarra/ThinViscoelasticFilms,swh:1:snp:3bf7d55d970e02f0fd263e9a4f1e417102cd60d9
43237,https://github.com/BigNeuron/Code_and_Analysis_Tools,swh:1:snp:8d1603db6424f09f83ffb122900f90211b41785d
43233,https://github.com/tiagoseq/NeuralFieldEq.jl,swh:1:snp:da15501dd591d63df5bdb70e1b373ce089fadc99
43229,https://github.com/lizliz/teaspoon,swh:1:snp:ed82f29586dc39fb69634699dd3152080eb5f603
43182,https://github.com/balabanmetin/apples,swh:1:snp:774274a9bd17f42ca3e888959c1a92d1416b426b
43181,https://github.com/team-pancho/deltaBEM,swh:1:snp:391cf244827913aede44f6d97cfdd843b9d29733
43179,https://github.com/yasinkaymaz/HieRFIT,swh:1:snp:21b1240d953bd6a898ff5fbcd0a22873e2f33d2c
43178,https://github.com/pogudingleb/SIAN,swh:1:snp:559aacdc571f34d3e1ee950a255c8e7978064e7a
43177,https://github.com/jpvert/droplasso,swh:1:snp:710b7cdbe5c6368a07c60bbcacaca858720082fa
43172,https://github.com/Pbdas/epa-ng,swh:1:snp:d6ab6374a54905fd2b8e504d679a8bd65acab9fa
43170,https://github.com/rega-cev/phylogeotool,swh:1:snp:86637075bb1843f2fecec3972399f9978f3a14af
43169,https://github.com/maryamrabiee/INSTRAL,swh:1:snp:fca5a51d19024c737d02d674e3c77ae1da14f852
43167,https://github.com/Grice-Lab/HmmUFOtu,swh:1:snp:e42f36575a982d171e3436032c2e566e4ccce951
43161,https://github.com/compbiol/CAMSA,swh:1:snp:43c7dfe0a7eef056b38adba179d339f724c3c41d
43159,https://github.com/Ali-E/GTED,swh:1:snp:ea66a18d668f1555d8355001ac6f8bb49969725f
43158,https://github.com/HingeAssembler/HINGE,swh:1:snp:a30886fbba1edc970d0ca8b49198f1cda3ce08e4
43155,https://github.com/rrwick/Unicycler,swh:1:snp:c61666cc0b875e9600974e576efd21a49b0e4c23
43154,https://github.com/almiheenko/AGB,swh:1:snp:285b070473d88e04c1e1cf82d4f283d5706d8fee
43149,https://github.com/aritra90/CluStrat,swh:1:snp:9a11cad883f5e9b1b3f8260488403b8853439236
43148,https://github.com/aritra90/TeraPCA,swh:1:snp:9b922a297cbefbfa11fe241f802319428ee9cc04
43145,https://github.com/epolevikov/Asgan,swh:1:snp:53b82d8db4b0cf7db270831cefb9b141800b2bbe
43134,https://github.com/PaoloBnn/Retip,swh:1:snp:7c39ac9263869bb781c7af4fe786e3c2c3528162
43129,https://github.com/CPernet/Robust-Correlations,swh:1:snp:dbea2a6d173acc2b3789d6affb0cb0a48762bfab
43127,https://github.com/travisseymour/EPICpy,swh:1:snp:e3271bedfd5e92e06d3c986d2f8e1786e00b4257
43124,https://github.com/infphilo/centrifuge,swh:1:snp:5ee3874311bad9305d1c1e09ad2d09cf2e04a902
43123,https://github.com/anuradhawick/seq2vec,swh:1:snp:342d2879e91179c3da582bdcc43b80ca47287201
43118,https://github.com/Marleen1/OGRE,swh:1:snp:8911a9344d174ba82c2890dcd6c601049ec6704c
43116,https://github.com/BaoWangMath/LaplacianSmoothing-GradientDescent,swh:1:snp:9a955761cbefef1e1610ae7109a10ad4e6caca9c
43100,https://github.com/Luoyonghong/E2EGAN,swh:1:snp:f9e2643132aa19f312fad0cd9ddbda5edb832f7e
43099,https://github.com/felixykliu/NAOMI,swh:1:snp:393f3971bac695ca77a83f8440b56c97276f4b84
43098,https://github.com/ratschlab/GP-VAE,swh:1:snp:da4d4abfbcf91976f3ef6165edb125127df4405e
43097,https://github.com/tonyduan/matrix-completion,swh:1:snp:82aead4f1cb45397b0ef88b0b01a5384e654a2e2
43081,https://github.com/karimbahgat/Pytess,swh:1:snp:bb999e57ffe3de5f52fc9860c2df50f3556c73b1
43074,https://github.com/AmeniTrabelsi/MILIS,swh:1:snp:2eaa52025cb5c4246a783874dee5d33668b4b0b5
43070,https://github.com/SRI-CSL/solidity,swh:1:snp:0a10d384ac87b81e876e5ba847c56c19b16148aa
43068,https://github.com/cszn/FFDNet,swh:1:snp:0881cb6e4c51d9e8da43d7901f10050e71d0661c
320,https://github.com/gap-system/gap,swh:1:snp:fc0da60eabb18a5bded3c1b0837a8464eef9a6ff
559,https://github.com/twist-numerical/matslise,swh:1:snp:cda53d800f58002eb41759b6358273446733b7c0
569,https://github.com/NanoComp/meep,swh:1:snp:05ae46c7cdbe154162cd1bd392926da9e7985c90
705,https://github.com/janverschelde/PHCpack,swh:1:snp:e102be380a3da2ebdf45a0383ea4a5382c51fb89
2023,https://github.com/tinyos/tinyos-main,swh:1:snp:023c4de050cb58432aaee87f2fd1f0d647e2128f
2301,https://github.com/SRI-CSL/Bliss,swh:1:snp:b4b7b15e3177a0f9cf1f70bfd48458ebec1cfff3
2589,https://github.com/JUrban/MPTP2,swh:1:snp:804c718b11bfe82a4b154d15dede42edfd93215e
3370,https://github.com/cran/MCDA,swh:1:snp:123e5a767e8c78145bc2a7472e3bcc0fcab54ec4
3454,https://github.com/flaport/fdtd,swh:1:snp:4c966a4fe811c3dad6e090818bfc135dd40d4631
6777,https://github.com/cran/ergm,swh:1:snp:024829812d0ee8d942c0a3cb965de55c76305fce
6778,https://github.com/cran/nacopula,swh:1:snp:43d8cb0807e9f5b824d974700b8ccdcf16dfef51
6781,https://github.com/cran/benchmark,swh:1:snp:c27416e6390f995c5eb836da6718bc047f539bf3
6783,https://github.com/cran/cghseg,swh:1:snp:9777d63a2e881a916148cac614bf506c6dfa5484
6817,https://github.com/root-project/root,swh:1:snp:a6aa482cfccd9d0e6147f04ceef6464509ffdbe2
32373,https://github.com/haohui/anteater,swh:1:snp:3224398eda0ea2f5410230de8a8ecc1679d1a54a
32379,https://github.com/ChrisCummins/ProGraML,swh:1:snp:fae70aa803294dcb22bb9c131ecdfe6b50f8acdb
32380,https://github.com/tech-srl/code2vec,swh:1:snp:79e97e640a1ab69e85f3fb74a27777c46075db53
32381,https://github.com/intel/neuro-vectorizer,swh:1:snp:e20e207c2fbd934bbe3bd8c6182a762c4733343c
32382,https://github.com/coqtail/coqtail,swh:1:snp:efb992622001513e005bce526dd883c8f3f19104
32384,https://github.com/fredrik-johansson/fungrim,swh:1:snp:39dc106f69fb72c6046e4a6a27b1cff5b1e21183
32385,https://github.com/TimKam/JS-son,swh:1:snp:a0ca2762114c6178b476e57206214fa0b13a0d5c
32386,https://github.com/almende/eve,swh:1:snp:7cb31d9da3050c79d10778ca0b0de756f7cd7411
32392,https://github.com/pymatting/pymatting,swh:1:snp:9349869859d7e2f54e4c7f080165e8273964f605
32402,https://github.com/cran/sdols,swh:1:snp:a11d6084e025e05fd6c6b8627cbaf22dbd61454d
32408,https://github.com/cran/gdpc,swh:1:snp:bddb1b9aed035635e569e54f896365d6fab6363f
32410,https://github.com/foocheung/figureone,swh:1:snp:36de33dcb57b899e387779040a2fcb0384bdba1f
32411,https://github.com/alexander-rass/HiPPSO,swh:1:snp:38a6c240d3b46ceb05099e8f5bd5d48fbcc83a53
32412,https://github.com/hema-ted/pyzfs,swh:1:snp:0ded69e7396da2e0c104419690009c94a89d2c25
32414,https://github.com/Sage-Bionetworks/mhealthtools,swh:1:snp:032f543d97c660d0326d7ddb9a21c7b33b5a24f3
32415,https://github.com/pdkit/pdkit,swh:1:snp:6debe8dcca36c728d89c0410ffe4763b1937ee06
32416,https://github.com/UW-Hydro/MetSim,swh:1:snp:0e6b57ed28c47297838fda76abf847d5183ccdb6
32418,https://github.com/jolby/rincanter,swh:1:snp:19434d24a91df806606364e7c1ee7084f573049c
32419,https://github.com/allr/tracer,swh:1:snp:4bbee158d7566b14297d2466b28d927326456280
32427,https://github.com/higham/expmv,swh:1:snp:8b74671fa408b01169399313052f99fd43f37199
32428,https://github.com/Antonio-JP/dd_functions,swh:1:snp:00db2891e9dcb9ad9d19714e18bbc57e988f5982
32430,https://github.com/ginkgo-project/ginkgo,swh:1:snp:78917d59dd2ca427534eac328a2bf32859c78383
32434,https://github.com/gbertoldo/DEPP,swh:1:snp:270d1925cf6aa9a0a747c6316619edda93665f97
32436,https://github.com/pySRURGS/pySRURGS,swh:1:snp:c2b4e9ff43c6d1adf658156ef3f52f92cffd0a97
32437,https://github.com/Nico04/Pore-Aventura,swh:1:snp:d5ba4cf0c75fbfc866ec848d2950a73a865f6829
32440,https://github.com/anowacki/SeisModels.jl,swh:1:snp:5ff47e446f118e08eb60aa8b7b1951b443b4d536
32441,https://github.com/geodynamics/mineos,swh:1:snp:73c8a4e15b19e4d771e12bc359a747c5f0c6480c
32442,https://github.com/crotwell/TauP,swh:1:snp:20e5b564984d56b9621ccb686b83cf3fb9832239
32443,https://github.com/UniFormal/TGView3D,swh:1:snp:3d91f01d011c4d1cc5e068ccd7c1b5359519718d
32444,https://github.com/bartdag/py4j,swh:1:snp:c71f4597a5f756315ed4539b1e79628a2c760668
32445,https://github.com/stedolan/mlsub,swh:1:snp:b6872c307baa4bfe1937db1157ce92f1b340f88a
32447,https://github.com/playframework/play-slick,swh:1:snp:3e31b88d8eddc889d81b8e30cd004948a843440f
43891,https://github.com/tensorflow/agents,swh:1:snp:ee02f47f52fd0312b40f4f09143198fdc5c7fb21
43623,https://github.com/agda/cubical,swh:1:snp:fdff46f5cde437058a55437598e0afeb9d679491
42424,https://github.com/AlanInglis/vivid,swh:1:snp:e29164850eeb7854871984cf5aa66188f50df7fa
41991,https://github.com/mriesch-tum/mbsolve,swh:1:snp:62331d7f77117f814fcf3ac9ef4405eead5cbf34
41697,https://github.com/zcash/halo2,swh:1:snp:98a5b843f3e09137b508109d0f4ad2ff593e265c
41520,https://github.com/cran/lwgeom,swh:1:snp:95a4ad2d2a07a1e44e9f96775535c07cb0e3facd
41519,https://github.com/adaptive-cfd/WABBIT,swh:1:snp:6c5ac6913da511d95ee259f97bbbbc72af7ddd2a
41517,https://github.com/USEPA/nsink,swh:1:snp:18af29b4eb8ac91c64cf1228c5cf73e7089aa88b
41513,https://github.com/stassa/louise,swh:1:snp:e296b5c04cdca5676c7df3c1f5a17467a35d3a87
41510,https://github.com/facebookresearch/faiss,swh:1:snp:578ca0c1596ad5bec38a24e0a66e4ce00f934512
41509,https://github.com/hugary1995/raccoon,swh:1:snp:6be1aae185d4acf371bcddaaa2af04a54e21e5c2
41500,https://github.com/pysal/mgwr,swh:1:snp:74d827ae13a1c0c99410081f6c0b0478ead1ceac
41495,https://github.com/einsteinpy/einsteinpy,swh:1:snp:a1f87b98db7da5666e8a2dc4b302ec4b241cd645
41493,https://github.com/colomoto/colomoto-docker,swh:1:snp:1c6af87813396e447a619310b8b6b53e4f23b29b
41480,https://github.com/katlund/BlockStab,swh:1:snp:28ea5fc61a09f0bfdcb03b6906858b685cb6b1c3
41465,https://github.com/mfasiolo/gamFactory,swh:1:snp:dabb19e578d1c4b7e6f38968f2fb83584402e7a2
41453,https://github.com/SciML/Catalyst.jl,swh:1:snp:3ee7d97c9fcde8356b7080108b6020b4db5165fc
41451,https://github.com/augustinas1/MomentClosure.jl,swh:1:snp:5c8281e20f2608ddea5b26e64b64a6419316a74d
41450,https://github.com/JuliaSymbolics/SymbolicUtils.jl,swh:1:snp:37f05714f96814c2b3005d9df1b9a5b588d22126
41449,https://github.com/SciML/ModelingToolkit.jl,swh:1:snp:4fdd03ab2f9f983668f9080ceaccd1cd04a8648c
41448,https://github.com/vukics/cppqed,swh:1:snp:889ebc09f7afe89efd99aa5140042d414ae98900
41447,https://github.com/JuliaMath/Combinatorics.jl,swh:1:snp:67b88c77f65980dc9d40be023b110920c6acd0e8
41446,https://github.com/qojulia/QuantumCumulants.jl,swh:1:snp:1c87981d0cdc88cb0f1659530fe7fa400e77774f
41437,https://github.com/vmoprojs/GeoModels,swh:1:snp:768a57edae9cb1ddc0bce5681a2dd403e5b424f7
41435,https://github.com/fastpm/fastpm,swh:1:snp:6934c903127c03dc1beef7a2649bd8db271e6a28
41434,https://github.com/USEPA/LakeCat,swh:1:snp:c4e831420685a3fe9651f42b18b715e7ce7e7bb6
41427,https://github.com/cran/olsrr,swh:1:snp:3b6bb028e1c7c3907b3709f5ce23bd50c27e5094
41409,https://github.com/se2p/pynguin,swh:1:snp:a62653296a400d1f259570a32e7ba6c1eb9bdef5
41393,https://github.com/galsci/pysm,swh:1:snp:fd8812e84b2cb284399986508e2301950a770ef8
41391,https://github.com/PainterQubits/Unitful.jl,swh:1:snp:1b5e37f5837d4a3f87235c223e12600ae49ff91a
41390,https://github.com/JuliaMolSim/JuLIP.jl,swh:1:snp:439d241f9efeb5fc5deec8cd7660275ea03e975e
41389,https://github.com/excalidraw/excalidraw,swh:1:snp:c1544284cf578b151cbe547ae9a7b1e2061e3d86
41385,https://github.com/NQCD/NQCDynamics.jl,swh:1:snp:bb45d214b8c480d150a5dca4b581868a0fd5fd59
41384,https://github.com/torchkge-team/torchkge,swh:1:snp:dce89c4ddce147d013724443273524089a87d9f5
41381,https://github.com/jfeist/QuantumAlgebra.jl,swh:1:snp:bdd5a32526c762f1f52bb725ae89baed89b03c6e
41380,https://github.com/rveltz/BifurcationKit.jl,swh:1:snp:a60af3e41a339fae60297b05988eb85c599c9872
41379,https://github.com/NonlinearOscillations/HarmonicBalance.jl,swh:1:snp:a8636b684f1e2c292dd86e0a27596cea63500afc
41377,https://github.com/JuliaDiff/ChainRules.jl,swh:1:snp:77711e2140811d9b5e2f16285ce32b1b0863b4f9
41375,https://github.com/JuliaDiff/ReverseDiff.jl,swh:1:snp:82b21faed7a44b09e1a8c2903755f2685c647ade
41374,https://github.com/JuliaDiff/AbstractDifferentiation.jl,swh:1:snp:883958cf77d7df6f6138f3f98d33627e8702f8c3
41371,https://github.com/cran/SpatialML,swh:1:snp:49a3d99891f196e1254ad4c862f12f519a42e927
41369,https://github.com/cran/argoFloats,swh:1:snp:a1fea386013870680deb413317dea01e8ed0278f
41367,https://github.com/const-ae/glmGamPoi,swh:1:snp:8d4ae26969d16d1a11c0f506eb18888124ef648e
41366,https://github.com/zhenkewu/baker,swh:1:snp:987e0fe9a34a6a172b791d68537306667e670f5a
41341,https://github.com/fplll/g6k,swh:1:snp:72494d12f23ced087da62902ca947c8cbb1fe9f9
41334,https://github.com/cran/SGP,swh:1:snp:c10637c97f9dd8080323f406e2ba47f8656497c0
41330,https://github.com/cran/biplotbootGUI,swh:1:snp:8c1c164db38808fc46d6bfca7d160ad9c47befa6
41328,https://github.com/cran/GPvecchia,swh:1:snp:f1d2d5d9fb0bce8e4b56f061fa6a483830c3d364
41321,https://github.com/mariohsouto/ProxSDP.jl,swh:1:snp:627a11cfe064c449f36b7841d3497de115a650f1
41311,https://github.com/kmmille/FACTEST,swh:1:snp:4e263f12dd056af61c0173215d9efb563119956a
41302,https://github.com/cran/vote,swh:1:snp:f666ff7d5ba5eae5211e63337b1f8098de4558b7
41301,https://github.com/openpmix/openpmix,swh:1:snp:971c11c4272c51884a2de3213a86d7fa9ed198aa
41300,https://github.com/xcat2/xcat-core,swh:1:snp:6e5fddda12d7caea50e95ca748cf490a6d6baac4
41292,https://github.com/LiamMcAllisterGroup/cytools,swh:1:snp:2fc55ae0b7ca598a49cb9ff02fa1c3b1e35167d5
5340,https://github.com/cran/crank,swh:1:snp:21a4bd1527b2886b22674bba8d729831d0445936
6348,https://github.com/cran/RobLox,swh:1:snp:d362715be4ecd912f89287bc030f9fb59773516d
11081,https://github.com/cran/covRobust,swh:1:snp:4c781dad0512331dec2a0056be63a51ef8d8696e
11720,https://github.com/cran/pendensity,swh:1:snp:3b567309ff200ce2897d7adec27718c1ee677429
15230,https://github.com/cran/ptycho,swh:1:snp:0d2e29d829232b184d38b6478def2bfc524347cc
15278,https://github.com/cran/rrecsys,swh:1:snp:cb5db28d357f1ab4f90d5fda824c52be8432501e
15428,https://github.com/cran/hglm,swh:1:snp:bdcc6645ff69ab0d7f7d290d70e64d678750817f
15507,https://github.com/cran/SubVis,swh:1:snp:95718ed974dc55edee7c0a67f17e75b6dad72a9d
15551,https://github.com/cran/CpGassoc,swh:1:snp:7fe11f56897f5e6eb1edadae34c1380dd22ec967
15556,https://github.com/cran/FlowScreen,swh:1:snp:a3af8a70cd563ff3979071ad9c452a69f686e101
16264,https://github.com/cran/TauStar,swh:1:snp:1f3c3a0ed61269b3e8dc1c22d4e5b6fa7c4ec96b
16293,https://github.com/cran/GESE,swh:1:snp:4d0cf3e8cf700efe967c69c67aa3008b13ab3316
16390,https://github.com/cran/xxIRT,swh:1:snp:f30bbc3e349a8ee3eeeddbdf7c7435126c959169
16401,https://github.com/cran/influence.ME,swh:1:snp:8ff2d980397f5c0e4e8be0c2e472dae6b21fea75
16506,https://github.com/cran/indelmiss,swh:1:snp:d8c7363302ce7ffc6a0cfcf15f624c75fdb03918
17070,https://github.com/cran/fcros,swh:1:snp:6b7f6549de38ea8b89918fb98d9aa8cc83ed577e
17893,https://github.com/cran/x.ent,swh:1:snp:812e17a4b9590a16d296f79fb61082b9af52fcb9
18149,https://github.com/cran/fsia,swh:1:snp:f7a3a5b6c68f08701af145ced244d996669a5614
18178,https://github.com/cran/sqlscore,swh:1:snp:05b12b9e8f5161318f355493363bb0b7b5c36115
19127,https://github.com/cran/FLLat,swh:1:snp:9453bcac8d4a14011086372413a496a6e159ea21
19516,https://github.com/cran/MultiVarSel,swh:1:snp:67d2ee27e8ead177ceaae28bb112803f47eafbf6
20289,https://github.com/cran/DDM,swh:1:snp:d3f8d52d2a83b386befeabd026828beaf9e702af
21034,https://github.com/cran/autoBagging,swh:1:snp:08917e0ab0d166806a07ae614dceff0822f1199c
21307,https://github.com/cran/DLASSO,swh:1:snp:ecbd612a4df051f801f91db226a710b2f2d8db9c
21334,https://github.com/cran/subcopem2D,swh:1:snp:386b99f8082baef1e1b4204f4748e8ee0078f259
23266,https://github.com/cran/pvclass,swh:1:snp:06e0f0130b02e711094a9b5786f5dbfff157f592
23273,https://github.com/cran/rucm,swh:1:snp:6b561fded98e9c1c922fccda0582e468ba478010
24111,https://github.com/cran/CovSel,swh:1:snp:d1a56861f8ad60de3c9cfcde72df072a6cccaab2
24368,https://github.com/cran/RobLoxBioC,swh:1:snp:f01d49fc20e7a0417e58fc929eaaea1d93a23749
24456,https://github.com/cran/hSDM,swh:1:snp:8f90f221caf1ec61b911e0548aa334d54404a616
25514,https://github.com/cran/CADFtest,swh:1:snp:7e498795d51f7bf72394d634daf327426c68dde8
25594,https://github.com/cran/MultiSkew,swh:1:snp:3f52e1bfcce4566ea3b7a42df3d5fa9eb405e550
25986,https://github.com/cran/spectrino,swh:1:snp:5d80d6f8f4171e0c8d865dbd627fb991b74698e0
27257,https://github.com/cran/BayesTwin,swh:1:snp:d3cd8d97e9a09477a1c91ddc3e598e66b76ed291
27388,https://github.com/cran/moveWindSpeed,swh:1:snp:22be24be88b474fd52e6cc0f31041a61300cc9ef
27686,https://github.com/cran/nCDunnett,swh:1:snp:cf6add1b954da530613d841a958fcce6983ca0a4
30311,https://github.com/cran/bgeva,swh:1:snp:7660c0ac4e7bbf9590185ea66255301e20bcc201
31092,https://github.com/cran/iprior,swh:1:snp:a3e7dc83ecfc99ffd46d8816a6c443e29c066829
31311,https://github.com/cran/CircSpaceTime,swh:1:snp:8fe82fc41ae97ce2f2b407da240c38d86478435d
31332,https://github.com/cran/iMediate,swh:1:snp:7183c9f2b3490bec79fdc4bcc55aeac3f804db73
31347,https://github.com/cran/pencopulaCond,swh:1:snp:70ae306df8add8f162422101fce0cb400a65d96c
31558,https://github.com/cran/lmreg,swh:1:snp:b510fbed18ff306b139d1911948b8ed409779213
31807,https://github.com/cran/pampe,swh:1:snp:123ce55986113d7c2f4ad2a981914bd15321525e
33579,https://github.com/cran/smbinning,swh:1:snp:e10ecea7cb3da6f01cc499a9cf7fcdb01dd91309
34218,https://github.com/cran/expperm,swh:1:snp:a356133cf62bf18b109e77bab38fa82e41e316c6
34329,https://github.com/cran/kmi,swh:1:snp:976fde4cb34c0f6f321649d60eb055f7ffb52624
34661,https://github.com/cran/MaxMC,swh:1:snp:c981630c2700c6df2b43681be555cf61647b8dc3
35200,https://github.com/cran/fairmodels,swh:1:snp:13c56cac0e1623a7d829381b5e5e60c88b70cecd
35205,https://github.com/cran/rCBA,swh:1:snp:4b08c7379d82d07e8b45343dd798101c38254344
35553,https://github.com/cran/HapSim,swh:1:snp:1e021f7e3ac726c94d82e7c12df3bfa2ee36895b
35676,https://github.com/cran/SMARTp,swh:1:snp:8c2e989eb66d3c2a1a3b8376ae6a8ba01cd38ac7
36943,https://github.com/cran/fbroc,swh:1:snp:f80a374fea615fb840056e261c0078e26f0a41a3
37184,https://github.com/cran/pmhtutorial,swh:1:snp:721f6b1a5144a7e8545165e8bc56882c4791e3ed
37378,https://github.com/cran/KGode,swh:1:snp:e6807d96ef7e684dbe4095167a897cadeaddfc02
37518,https://github.com/cran/intrinsicDimension,swh:1:snp:bc61839c2a94f155c3cb782a38e7e28687f4f5b3
37650,https://github.com/cran/sparseMatEst,swh:1:snp:3b2e66e1062c576d0441ebd50ab665a0acf811e2
37926,https://github.com/cran/SSRMST,swh:1:snp:ca0c4b371864ea749baeb21d1e2755eb5a77ddc7
38226,https://github.com/cran/fabisearch,swh:1:snp:94a67d2767bf4f15241f3a74f56d7767ed6f1e53
38307,https://github.com/cran/sim1000G,swh:1:snp:4ea80914aeb88dd74abe86ca94163b7f08b4f035
39027,https://github.com/cran/bayesvl,swh:1:snp:aa2c2031edae2ac3739867bebc46ff14cebea95a
39146,https://github.com/cran/armspp,swh:1:snp:742b03657d8b7ff8c668bd02b6b29a2583d3789a
39149,https://github.com/cran/PHENIX,swh:1:snp:23bd6bf05479765be6f53ba7d4b08314ca6625c7
39760,https://github.com/cran/clusteredinterference,swh:1:snp:3afba34bd0a0b48f1fd3fe7ae44d8973c47cffeb
40061,https://github.com/cran/onlineforecast,swh:1:snp:2a75a64218794aef93a1915c9ca8dac034bc2ee4
40210,https://github.com/cran/NB.MClust,swh:1:snp:243e11bfa96e4c12328b5c1203d3cfca2dbc7673
40290,https://github.com/cran/mully,swh:1:snp:a00c9d9f3dbaaf0b378c76a8036b763fedc2dd81
40350,https://github.com/cran/CIMTx,swh:1:snp:1d511543e1cd755005e96aa1975ea30c4b7e558e
40475,https://github.com/cran/cffr,swh:1:snp:37ff409a8499296ea1f414208d4eba46038a176a
40555,https://github.com/cran/hydra,swh:1:snp:1c685a82e7f19453f0b1ee8e76bb4e6b033eab52
40630,https://github.com/cran/DirStats,swh:1:snp:01e1f37597877bd310b6270506abd43f78dddbd5
40648,https://github.com/cran/ML2Pvae,swh:1:snp:38c1590a23ba34b0281ef8912eca67ae87fd2530
45110,https://github.com/cran/sensmediation,swh:1:snp:39daddaa8494f7ada96c153ea70b3a447cc0fb2b
45045,https://github.com/cran/NonParRolCor,swh:1:snp:0c102a5e315c388bfedceb73f6eecd1e920d6ff6
45006,https://github.com/cran/ScreeNOT,swh:1:snp:e24b7cedba885c8835a87b1bfa9064af956ae112
44849,https://github.com/cran/SDGdetector,swh:1:snp:bc8d2e75ee7ddcf6b46e45943ecf70830d565e1c
44632,https://github.com/cran/SteppedPower,swh:1:snp:875066e9fafdac3b6a464462b5d261979d8890dc
44162,https://github.com/cran/tfarima,swh:1:snp:d587421a0e85d793e41f821ae1f554e81f45e43d
43862,https://github.com/cran/NetDA,swh:1:snp:56fe591a79388f4ff4be04152be7f2c9b38faf03
43756,https://github.com/cran/onlineBcp,swh:1:snp:9f16e3754d75f19159a2ec9c2dd80394155b7ec8
43535,https://github.com/cran/weyl,swh:1:snp:82fbf83ecf727f74960a7cb539184e2bd1929da0
43130,https://github.com/cran/ts2net,swh:1:snp:13b7551986fbafc382e79fcf7f3fb99c67d52235
43101,https://github.com/cran/gmGeostats,swh:1:snp:704fc83aca7239b714f8a1a34c0ddf258ffe2097
43077,https://github.com/cran/generalhoslem,swh:1:snp:824c89261df9d1e0e5f31fc382b9d178ec78a89e
43027,https://github.com/cran/htmcglm,swh:1:snp:83fa055c608747d0470d617b8291e1afbe801bea
42851,https://github.com/cran/eks,swh:1:snp:b0a5f40055700740bb60200454d42152a8210c1a
42641,https://github.com/cran/multivar,swh:1:snp:2c88d3230ea578c2915a33b6211b2254b46322ac
42635,https://github.com/cran/armada,swh:1:snp:a78c79080275f799ba07bd587c2113d65146470d
42292,https://github.com/cran/monotone,swh:1:snp:c6aaa24f1ef88accd749a1d2d2b3f8d1ce293522
42281,https://github.com/cran/discnorm,swh:1:snp:e8cafd1b6a9b0b5d7ecda33374090ab3c44179c9
41970,https://github.com/cran/hurdlr,swh:1:snp:4ed2f7f800ad97d4f72e80279a56c976255eb1a9
41966,https://github.com/cran/ZIBseq,swh:1:snp:b2be87857ce17df30e1c2538f71d1d5b4c27d0f1
41925,https://github.com/cran/LeArEst,swh:1:snp:004252f159946b87c95102b45d92c216652d91c1
41263,https://github.com/cran/sisVIVE,swh:1:snp:4bad606266a333536f0599e8aba59ab79e1863fe
46544,https://github.com/cran/ClaimsProblems,swh:1:snp:68b9f917bcd50788080d4f90ed7b3fce658ec8c1
46712,https://github.com/cran/ptsuite,swh:1:snp:0b741a8457603f3df06f5d812ec753035c188c72
45221,https://github.com/cran/StanMoMo,swh:1:snp:92644a90582768350addb9aa1ccd221f0cc9da91
46676,https://github.com/cran/PNAR,swh:1:snp:f3e264920d873fed6820dc200ff86b5987db96a6
45585,https://github.com/cran/iTensor,swh:1:snp:fca34b5844db5615b3780ee73e04040b217115e3
45773,https://github.com/cran/Phxnlme,swh:1:snp:c0634439f91a83c99cecd540bd14016a0e8f0620
45819,https://github.com/cran/RcppCensSpatial,swh:1:snp:ab05bfa60e4b51cf19c5376abf4d85bf86566b5b
7133,https://github.com/cran/repolr,swh:1:snp:c6e62053217baeb328e224dbf7abcf549d6673fb
10889,https://github.com/cran/FASTCLIME,swh:1:snp:4633da0c2ff3b2d64810dd9e7d10d7acad21d66f
12061,https://github.com/cran/SCGLR,swh:1:snp:b446421e879170dc7d80fab35f4a73e2fd5b934a
12324,https://github.com/cran/TEQR,swh:1:snp:4c5f20e08db5894c85732a6054efa4ec35d1ac95
12835,https://github.com/cran/pequod,swh:1:snp:49d244bb8b41f50f0482a9d4bfa612ec945207ce
13209,https://github.com/cran/RoCoCo,swh:1:snp:0197d2e55e53444e4a2e5423acd5eb0d9d4700c6
13741,https://github.com/cran/clusterRepro,swh:1:snp:7e99b8812b9dd509776dbec35204b0790ea6a9bc
14393,https://github.com/cran/sscor,swh:1:snp:1a5a769aa533a9c123c12baca7c4687c75ea15a1
14396,https://github.com/cran/ssym,swh:1:snp:3f8cbcb839262677a7fea8117065e3abcd27bee7
14574,https://github.com/cran/MethComp,swh:1:snp:8af55a558f7c7314fb672260b6e1ba1bcefe905b
15268,https://github.com/cran/bnspatial,swh:1:snp:670ee34b20fce32ffb9df1a0af1591c74d968c62
15283,https://github.com/cran/Pomic,swh:1:snp:1407ef182db36b1bb2c88ac9fe23f654e2274954
15336,https://github.com/cran/orcutt,swh:1:snp:0b76226ef150a050eada0453a2e0b99f3f670e34
15386,https://github.com/cran/ttScreening,swh:1:snp:3793d0a610eddc950cacdf15e5a46754d79be0cb
15407,https://github.com/cran/tsallisqexp,swh:1:snp:2b5c5356d70b23684b096c94ec066eeb375cc876
15466,https://github.com/cran/LncPath,swh:1:snp:387ea9db5c47b6d2c4acc83a101297bf841cb997
15552,https://github.com/cran/zooaRch,swh:1:snp:1821d82fe89f021af827575913f8c9b2308b269d
15554,https://github.com/cran/LaplaceDeconv,swh:1:snp:bd5fd1cc53a606de6b4df3974f6e96e89dae88f6
15580,https://github.com/cran/APtools,swh:1:snp:50ca42f4135d3ed03a948e80a52502f66dfe5375
15597,https://github.com/cran/highSCREEN,swh:1:snp:5b38d2e61e14d48aa974effe0e62ee10bf5e2f7c
15794,https://github.com/cran/robustrao,swh:1:snp:dfb31adab3e0b0781afbc1bca3b29163232d83a9
16324,https://github.com/cran/RMixpanel,swh:1:snp:e772e457580dd45bd796498629cbddd0cc0e4e11
16346,https://github.com/cran/EMP,swh:1:snp:eb71566444be79a6fe123dc456ee0418c32a72c3
16686,https://github.com/cran/drfit,swh:1:snp:ed43c44d5b42fa298710741443e2abed1cc367da
17388,https://github.com/cran/clust.bin.pair,swh:1:snp:b411be41f4b2f777ddc1160a6f2fe5b42b54c3de
17463,https://github.com/cran/VaRES,swh:1:snp:f7685d92072b9646c47a62ed554dde0222e2ada9
17749,https://github.com/cran/ffstream,swh:1:snp:1bee5a33c9fa0273653c4d3452d7787567ecb840
18688,https://github.com/cran/confSAM,swh:1:snp:302fde760fcd1cca3dad0f39b62724a7169cf5a6
18928,https://github.com/cran/PredPsych,swh:1:snp:2eab6fa1d75ccc8dbdccf1c316f28b1130b7d28b
19440,https://github.com/cran/BETS,swh:1:snp:9c531abef948ab0e18d8cc773c6c36ba771614a1
19478,https://github.com/cran/vudc,swh:1:snp:38a2849882e622f34dd5c13804851afbe3c3e256
19497,https://github.com/cran/ragt2ridges,swh:1:snp:232f816a2817a9a31f86d4ea815fb43381b613b2
19812,https://github.com/cran/Counterfactual,swh:1:snp:b3588dfbcb90a6de2e94d2ad16b9620c4e925499
19921,https://github.com/cran/githubinstall,swh:1:snp:8773ff236a181161b265977b9edbfd15b19956d1
20394,https://github.com/cran/mdsdt,swh:1:snp:8acb5e0ab87c749a6fe31510fbacc8b4a82d32c0
20889,https://github.com/cran/condvis,swh:1:snp:50d5ace867675b43195a997d18b4295c1ad21b67
21094,https://github.com/cran/evt0,swh:1:snp:2fdb8968bb00f2815cb06a5bb67db4a9b5269d09
21095,https://github.com/cran/GUIDE,swh:1:snp:e302240571afe7dcdc239569050af1975505b5e3
22604,https://github.com/cran/SMM,swh:1:snp:74f37de99ee98521e80ba8dde25abd439cdee592
23274,https://github.com/cran/glarma,swh:1:snp:59672476581fc12c54bcfdd1cbed6a34fc3b685c
23411,https://github.com/cran/lordif,swh:1:snp:b27379675dfaa2b8db1b87d100657c1da4b947e2
23412,https://github.com/cran/psychomix,swh:1:snp:22700b04f8b014eea8c7fda63c8edd494fadff56
23663,https://github.com/cran/clickstream,swh:1:snp:90b86885f85c56351e75223aa624705ae4ee43dc
24104,https://github.com/cran/nlts,swh:1:snp:a32850372533f9254985299f86d1c229cab0f245
24177,https://github.com/cran/gMWT,swh:1:snp:b1c93436a341290eab2eb16ece3996bfd837c379
24992,https://github.com/cran/dma,swh:1:snp:10e9d766bedaa3916421b0e760ce97328a22d09d
25002,https://github.com/cran/pmclust,swh:1:snp:65ff950de1090431d1116f1fd1a28b7cdf1d2c02
25098,https://github.com/cran/cycleRtools,swh:1:snp:2bdce13ba506a493e450b3b50fd62b69f1ca3e8f
25415,https://github.com/cran/Dowd,swh:1:snp:3b223ec4bf877adc3003f900937fb5663f744d5b
25449,https://github.com/cran/gamCopula,swh:1:snp:ba88724f3032cda0255ed4afe6603df22271d317
25804,https://github.com/cran/demogR,swh:1:snp:ec920f3fd6e25ec0d8343c77f43a8b52bee1654a
26108,https://github.com/cran/validatetools,swh:1:snp:e5d1ef94bc4611d4e39f4865ec9b47670d170a09
26116,https://github.com/cran/DistdichoR,swh:1:snp:a0117a8828df6541f1d4eac6d1dc153fd9f9284f
26189,https://github.com/cran/cocron,swh:1:snp:72a156452acab00bf42f717cb0c9e26aefbf7760
27456,https://github.com/cran/linERR,swh:1:snp:1e461fe084f37ba7863060f11b58afa87476f1d6
27751,https://github.com/cran/robcbi,swh:1:snp:aaaa67d735efbd90b45807eb45dfbc65a753080e
27786,https://github.com/cran/genridge,swh:1:snp:a7365135fa6d44f7a52a1c81b83763d288caa16b
27999,https://github.com/cran/exploreR,swh:1:snp:e6081eb674b54465654a5b8de68a7e9c28e0771b
28917,https://github.com/cran/ggparliament,swh:1:snp:8accb652325583f6c9f47c08a299604e97c5c8e0
29305,https://github.com/cran/npmlda,swh:1:snp:3f9ed693f1228a9f71d26500dd867ff1900a586d
30061,https://github.com/cran/SNscan,swh:1:snp:cfe0f6ee1fc9c64804a5523c98cb02eedeeb2932
31420,https://github.com/cran/sdPrior,swh:1:snp:54ea57c7fb247cc0a2d8cdc2224735a2d9278964
31450,https://github.com/cran/gapfill,swh:1:snp:ee127e4a2dc4e38e4c80da01feecb9257c8d8b81
31580,https://github.com/cran/epimdr,swh:1:snp:dcd3cf97fb4ebf169cc1ac3688bfd59a9d4ffe9f
31736,https://github.com/cran/quantileDA,swh:1:snp:592ed822678dae17c113c27dd876fd3f55249ea0
31798,https://github.com/cran/bsplinePsd,swh:1:snp:0f837004a2f064bad97fe8115a794938d9eed427
31986,https://github.com/cran/PottsUtils,swh:1:snp:1c84d012949dfb468cc5a1548b49c13a3f86d5fc
32784,https://github.com/cran/ppcc,swh:1:snp:9009db7e6d22d2d0b3e61ce951f141ab36fb1d0c
32865,https://github.com/cran/automl,swh:1:snp:03e1d6b518b5a83c5975b8961bca8cca1eea4b77
33242,https://github.com/cran/lmSubsets,swh:1:snp:29f9f5ad2576127b5d86d7552d525aa2a08d4c71
33244,https://github.com/cran/sparseSEM,swh:1:snp:30e82784ccd46f4db4a1140dd79ac9b65c5f08e7
33255,https://github.com/cran/cooccur,swh:1:snp:a866dba2efb77771da40faa7162a4edd1e358441
33582,https://github.com/cran/logisticPCA,swh:1:snp:a1b6a1736b0d39ea32a0d5a4bdb2293a6877f601
33627,https://github.com/cran/pgraph,swh:1:snp:37e7947b16d753afe3c9ba8b13013fd2733576f0
34382,https://github.com/cran/datapasta,swh:1:snp:900033a82d0c2d110ff75c43db004b29f5f43ecd
35029,https://github.com/cran/bcv,swh:1:snp:e016b2f18ea1b48887ff5fd3e9919af371b081ff
35587,https://github.com/cran/rDEA,swh:1:snp:3119edcaaf31eb6009aa230631a83e50f1ddf43a
35678,https://github.com/cran/textreg,swh:1:snp:e97a480f024ef71a5635e6e89cb9fe09e63db26d
35989,https://github.com/cran/mixedsde,swh:1:snp:791ff9ed6fd1d0200dd9e05bf8a6a71517eb94b1
36822,https://github.com/cran/ivprobit,swh:1:snp:ed765dea98a1a015d2b8bc2774e78ec92507f88c
37404,https://github.com/cran/pycno,swh:1:snp:f9f8a68904bebdf7b0dbb486315446d8a5f3b549
38223,https://github.com/cran/fergm,swh:1:snp:47db709728f303286b6231d053f733a43dcb94e3
38232,https://github.com/cran/PHSMM,swh:1:snp:8bf8f514d98e84abef90eb63a28cd5188bb58b49
39015,https://github.com/cran/rfinterval,swh:1:snp:e215d6af113f8350bc74878d31404b4fa9907303
40071,https://github.com/cran/TSstudio,swh:1:snp:8126f0ac1d0ca17b88b498ad821bc907446c5030
40243,https://github.com/cran/FSelectorRcpp,swh:1:snp:03c5a1565defe2adda039231b2092748e7f5943a
40357,https://github.com/cran/WeightedROC,swh:1:snp:46b278d2fb7308187cff05d94c66a3e7dfdbe4e3
44293,https://github.com/cran/teamcolors,swh:1:snp:8c5f366a7f38e0193d065f50554516d82d43b0be
43565,https://github.com/cran/psoptim,swh:1:snp:26c9fb7cc672c066c084b1e09dbe88646fccce91
43543,https://github.com/cran/graphhopper,swh:1:snp:7bec101fb1273fdde130c1cd5be753a9f328dcef
42883,https://github.com/cran/Minirand,swh:1:snp:864b45f7cf406fb3c4f9532443eca8336254c970
42611,https://github.com/cran/MEPDF,swh:1:snp:6baa0bfee2c0f3c06fc8ca1b9db86e475c8d2e0c
42431,https://github.com/cran/simsl,swh:1:snp:3b78672bb993ab2bbddf1d257da22a8d2dba1f99
41906,https://github.com/cran/rocsvm.path,swh:1:snp:9e7dda901b58d19b96ae259f7f43d00eba32e637
41483,https://github.com/cran/dcmle,swh:1:snp:ce2ea0bb61cdb85ee54914c32591093f4d803180
41398,https://github.com/cran/mdir.logrank,swh:1:snp:ccd1d96942a214923db2309eb2de6bf22e1f8e03
41027,https://github.com/cran/DensParcorr,swh:1:snp:6083888e3e51da9f8cab803ef244b1bec64e38ed
46305,https://github.com/cran/acid,swh:1:snp:eb16f935e48a1c5512e0f8975923fd92efc365e6
45384,https://github.com/cran/LassoNet,swh:1:snp:bca2768b9702993d46bb7147790865a5bdd70235
46785,https://github.com/cran/cap,swh:1:snp:06e4f9976582d054cd5c4d46813cc1221678b96e
4541,https://github.com/cran/DAAG,swh:1:snp:8a7033e79d9e8fbaede9a9d60a449425dd947eb5
6771,https://github.com/cran/rsem,swh:1:snp:1b59238ddf38ea7013e0b1cdf713d878c8c13ad2
8190,https://github.com/cran/prefmod,swh:1:snp:29a40edb939f4d219d02d468111bdf582e63ca62
11203,https://github.com/cran/highTtest,swh:1:snp:d402f2930775aba47f2312a22c102d0c82535caf
12175,https://github.com/cran/SigClust,swh:1:snp:6b8222cac9974ed35e980860eb2aba115dd873ec
12191,https://github.com/cran/simex,swh:1:snp:79c6370c5d27dea69fe8257b3f41063c0b32db20
12284,https://github.com/cran/ssfit,swh:1:snp:7c37d4f8ff81f1c6ead0c0500f5781a908574398
13953,https://github.com/cran/homals,swh:1:snp:e8f030f3f220c46303e07a754cdad04b69ddd9c1
14628,https://github.com/cran/GenOrd,swh:1:snp:4c157b171c1f4fc537c26932028f94a51914eb66
14715,https://github.com/cran/Pmr,swh:1:snp:94167d421cf2c18e4abf0ea14a0e01c154b015e2
15186,https://github.com/cran/ChoiceModelR,swh:1:snp:fd294b640e8b590c1d6a85e2e4f7f60ccd1f1c5a
15606,https://github.com/cran/asymmetry,swh:1:snp:3e1b47069e0f390687a79924d5c48e9d58e891a6
15614,https://github.com/cran/speff2trial,swh:1:snp:cace8714c1f54e26b771a3f1ac786123c989c2a1
15663,https://github.com/cran/Conake,swh:1:snp:056c0bfd0668c4010f9bf3266ddcca7339f4115f
15778,https://github.com/cran/productplots,swh:1:snp:8fe358ef20f94fda507b8dd273b9c9fae3332af5
15791,https://github.com/cran/bapred,swh:1:snp:0051d57056f886e6df028255f0c85339c70d66f1
15948,https://github.com/cran/VariableScreening,swh:1:snp:d4e859a0d8f494e451858628fb23a470298a090a
16275,https://github.com/cran/OrthoPanels,swh:1:snp:25edd572167c9803cbc4e7ffbc48a56aeb5c09da
16353,https://github.com/cran/sparcl,swh:1:snp:71f38a6d6085f6175c5c67c79cf9d549796e51f6
16566,https://github.com/cran/dataone,swh:1:snp:cc276d8c3d33de454e9bb383717ff2a06397b4dc
17707,https://github.com/cran/Corbi,swh:1:snp:d7a152787abf9f767090c2549423595e169a627f
17785,https://github.com/cran/LSAmitR,swh:1:snp:3ff32209a394ebe2eef6e92fdaa9affa383f106a
18023,https://github.com/cran/optimization,swh:1:snp:8fc41b6f72ecc6560fa59dbb6af21804144c2a5d
18172,https://github.com/cran/zetadiv,swh:1:snp:b5791f39519f97ab319b8bf3cb49ea0659db9323
18463,https://github.com/cran/tmle,swh:1:snp:fe6db2090c75fc85c6e57adc16bbc7d8625b6aa0
18760,https://github.com/cran/pdR,swh:1:snp:c18c9733edb1d57006d78a83834fc84237812f61
18960,https://github.com/cran/soilphysics,swh:1:snp:d07ac6e568283ce36212d815ee624e4045051f92
19243,https://github.com/cran/SMNCensReg,swh:1:snp:e579859de46d61777a7ecac8b2b2e2107007c919
19302,https://github.com/cran/pkr,swh:1:snp:5f623709434681b4a7c40904ecf85def1e174793
19480,https://github.com/cran/cat,swh:1:snp:10e79054ce6dcfdef7744f19993745c222de8433
19538,https://github.com/cran/SensitivityCaseControl,swh:1:snp:10c168e0e3ce5235497b4c2ea64053608e2f4015
19582,https://github.com/cran/NMFN,swh:1:snp:ace4db1b52692422636e47eff768f84dc7c34f5d
20072,https://github.com/cran/ExcessMass,swh:1:snp:ba19ad16513af43a96c385120a7fd7a2fe58ec62
21036,https://github.com/cran/funData,swh:1:snp:2ee478332ccf4ba3d2c3463f583ec8d1c1e28d6e
21332,https://github.com/cran/cqrReg,swh:1:snp:b0376c387d7740bf0d8c9c440c08e4eca88c9c79
23156,https://github.com/cran/ICsurv,swh:1:snp:7195e57a3df1b4a646b0c5b61ec0946509008d11
23398,https://github.com/cran/rEMM,swh:1:snp:fe9a2b018a8102b60816bef344ba903831ce0e57
23904,https://github.com/cran/mAr,swh:1:snp:41cfeeec1dfd0bb3006bc90ef5024efaf5b63bb9
24054,https://github.com/cran/anacor,swh:1:snp:6a9cb6efd984c3431bf49dce71797ad634860e3d
24102,https://github.com/cran/RobPer,swh:1:snp:4e0c3a4cf40d30488bf246793cff12d4f2134cdc
24123,https://github.com/cran/migui,swh:1:snp:a1e99240f8114639f6d2a9220a3daac3c169d9ac
24308,https://github.com/cran/GrassmannOptim,swh:1:snp:81ce114c3370c652903b282a97dbfa3f99191037
24457,https://github.com/cran/lifecontingencies,swh:1:snp:a994679e139cfe1e5f050422fc27af7fba845a8f
24557,https://github.com/cran/ebal,swh:1:snp:d39080c99a6ba7a66b633e70832188fda58ef2df
24684,https://github.com/cran/ahaz,swh:1:snp:2ae78bd46ad79f86438d2ee83f543aa63b17b50a
25476,https://github.com/cran/fuzzyRankTests,swh:1:snp:cd8ca523c290b42ac2a09ecf4a52e2c7257d9589
25656,https://github.com/cran/crrSC,swh:1:snp:e1f2cbbe7a4db2c5c72e94e1dcf804928b905a64
26187,https://github.com/cran/QuantPsyc,swh:1:snp:d45d22abb00a77b5431609fe552767b8dfaa2661
26199,https://github.com/cran/eigenmodel,swh:1:snp:ec3ffc379e03d5e4fbc40bb06edb64c84532d7d3
26708,https://github.com/cran/Ball,swh:1:snp:556307b15d1b801f2259e8485fc9d54c05603ebf
27379,https://github.com/cran/bcpa,swh:1:snp:5fa76b651aab0366204cfefe9fc6fe229bdb770c
27777,https://github.com/cran/ggmosaic,swh:1:snp:bda462e00fb6fcbe6f8153521d05a1cc0c18973f
27905,https://github.com/cran/Ake,swh:1:snp:34c8b14dd9d74aa08ccb0bf2da29df9e1e33e19a
28203,https://github.com/cran/PDSCE,swh:1:snp:6f0c15debacc7f2da69785e8bfce92cd9fe557ae
28955,https://github.com/cran/deepnet,swh:1:snp:93155a5f01a778e4340fa01c2f669cf111d0431f
31264,https://github.com/cran/mable,swh:1:snp:0675ce5a655f7bb5e5aac70b80116414e32d8af4
31615,https://github.com/cran/ratematrix,swh:1:snp:141733a0653c4793150ed5eea923c950d10bfa41
31622,https://github.com/cran/GB2,swh:1:snp:fa0eae75f3a45c241626ea6f1a50e37b09259686
32111,https://github.com/cran/fabMix,swh:1:snp:3bbfb524f3a5f3891740702c8c9be9217f62ae0e
32394,https://github.com/cran/saws,swh:1:snp:afc5c5d6e1910ec9842553214728d5c935080b4e
35212,https://github.com/cran/DALEXtra,swh:1:snp:b9c6fc1f347d3fa2e5e204838a442334478dccbf
36843,https://github.com/cran/sirus,swh:1:snp:4ce82d295454dba91d3ddca5881797435c479800
37405,https://github.com/cran/areal,swh:1:snp:5eeb7c7bb74f628f9e2e92b138a0c8e7e094a742
37853,https://github.com/cran/krippendorffsalpha,swh:1:snp:99c0cbf45cef2405201e56490f3196f2128f20c3
38363,https://github.com/cran/MomTrunc,swh:1:snp:13d575951484961fdd19de686164dca44c79cc1b
39277,https://github.com/cran/univOutl,swh:1:snp:8eb8e25f7c5c56dc30c9cdb91022ac31f2952ad5
39617,https://github.com/cran/nlshrink,swh:1:snp:3a82ae31ea1c1f7f00abe4802ee6504118918bbb
39916,https://github.com/cran/dbcsp,swh:1:snp:c3a549f8c39f6fa60fe88a29a529b0d10dc4ab94
40604,https://github.com/cran/ubms,swh:1:snp:d16a99530d4f5fc13845391309e43b84b92fe085
44387,https://github.com/cran/robnptests,swh:1:snp:d60616db926aab9e04f30afa5309aa5a3c59169b
44236,https://github.com/cran/spiro,swh:1:snp:eb77fb5680c06e49ad786214ba9a8cadfc549ed9
44144,https://github.com/cran/bsnsing,swh:1:snp:193c470abd33a4e4aaf1569de958951163a18e28
44020,https://github.com/cran/treemisc,swh:1:snp:568a2de9a40d20c13297c7b6e3c2a9966947e892
43874,https://github.com/cran/polle,swh:1:snp:0121e151b7eb6d248c36239ee3c61718a2d756d8
43821,https://github.com/cran/ARDL,swh:1:snp:123eaf4d0510540d58716667fd927f92d6dcd66a
43473,https://github.com/cran/skater,swh:1:snp:fc378b6acb3a5c47bdaa6ffa928f0fe94c4dc79c
43466,https://github.com/cran/hdtg,swh:1:snp:113058cb6082ca2dc64d25ebb949e194a81f1291
43358,https://github.com/cran/overviewR,swh:1:snp:237d3bc5f7bfd581634f2d1071b0c1d4c43c274d
43245,https://github.com/cran/predint,swh:1:snp:c93e5581cd3282b36fe0155a04c181f95349e521
43131,https://github.com/cran/mmpp,swh:1:snp:586194aa7e1278590cfe7e67df293e9684b57338
43028,https://github.com/cran/sparsegl,swh:1:snp:770c4033df52ce5810e86e0504094bc0419e65d6
42478,https://github.com/cran/musclesyneRgies,swh:1:snp:4886449ae00a0f6b63727e1fa2bcba6c0085595f
42374,https://github.com/cran/VIEWpoly,swh:1:snp:856b4e7fed1473bd6392875059216c391a9bbccb
41986,https://github.com/cran/HDShOP,swh:1:snp:35b2e2addac081d2b020e14e18e5e818051123b8
41650,https://github.com/cran/CRF,swh:1:snp:40ee3af8b07abf6036587d7d2dc1609382171d8d
41264,https://github.com/cran/bpgmm,swh:1:snp:4c3c1fb246530ffe0174a2f65d008d5f352f952a
40993,https://github.com/cran/PROsetta,swh:1:snp:c3a529e8ebe76d347ced79a1d21c72af5a00fcc4
40944,https://github.com/cran/terrainr,swh:1:snp:f8d9bfcd4d27586dc0e53f81f29398f6b16d95b3
40896,https://github.com/cran/fastRG,swh:1:snp:116b37c6359f5af4eefe7f755c58841daa1fe849
40803,https://github.com/cran/PhaseTypeR,swh:1:snp:de24de540e3fde74c49cb7231538c0972403035b
46533,https://github.com/cran/meta.shrinkage,swh:1:snp:e188139faa99245553fb4e49078fabe7a40f1cb2
46167,https://github.com/cran/geocmeans,swh:1:snp:3e6008e55eb851061b9bc9be11fe5ac10312608e
46521,https://github.com/cran/copre,swh:1:snp:9ee2bee74a184ca2213d9afcadb34aa92ca7dfb7
46369,https://github.com/cran/geosimilarity,swh:1:snp:002aa32e5c104f4c35c9b2cf8e498acb1d1b557f
46138,https://github.com/cran/PanelMatch,swh:1:snp:6300cdee514cbac1a2ac707e754514b63d54d31b
46594,https://github.com/cran/SoftBart,swh:1:snp:267761f0aa80ee8e6e21ed98ff8feb37afc6d84e
45840,https://github.com/cran/PLmixed,swh:1:snp:96fa41dbc7a3af49e30c816486d5c6039fb80a8a
46854,https://github.com/cran/CARM,swh:1:snp:d080c18270fb2a7fa67afb8295061742480ca767
46288,https://github.com/cran/rMIDAS,swh:1:snp:1e173ac9f81081ce41bcb446797a723cc95a797b
46678,https://github.com/cran/nett,swh:1:snp:10b527d5d607b93e83654872f665597ee68a4e5e
8183,https://github.com/cran/BRugs,swh:1:snp:9acb8fe2e9108c95c67f0f5f8bbf2345bca11c23
8185,https://github.com/cran/LowRankQP,swh:1:snp:8f53f1074c6536d80c0771bf014d5357a7a04e4f
8186,https://github.com/cran/rcdd,swh:1:snp:c3568ad3d1b062a09a49fc645d2b2303b2bffc20
8188,https://github.com/cran/RandomFields,swh:1:snp:41efaabb19f883462ec3380f3d4c3102b0ed86b4
8194,https://github.com/cran/DoseFinding,swh:1:snp:8318fbe0892bdb74bbfeb2aa6e4c4dacd877dc68
8208,https://github.com/cran/biOps,swh:1:snp:a5fd933ab2706b42ea9cec4ca3ca23b4e0e9f4d9
8209,https://github.com/cran/seriation,swh:1:snp:1bcf3f468da1be4f7930e26eab8617c65abbeb8b
8211,https://github.com/cran/limSolve,swh:1:snp:f8550552ea0b33a5dfe0c6f385ab554199a8beb8
8212,https://github.com/cran/FitAR,swh:1:snp:6d905e137e2796ed33aade16b954993d608a06f0
8215,https://github.com/cran/networksis,swh:1:snp:fcb9afb9449db1ca0f39727abc3b23a6613b8d77
8237,https://github.com/cran/homtest,swh:1:snp:31596e39265e7c2edd9061c28bb94e15fbbb7687
8242,https://github.com/cran/DBI,swh:1:snp:f763c78599e36544c15a378c99b57d14f8ee0657
8247,https://github.com/cran/rJava,swh:1:snp:26df1e6940c086e5bba3506a749141fd06c29621
8251,https://github.com/cran/RUnit,swh:1:snp:c4a23391d6429beb279d3c3c632d8a485078caa0
8256,https://github.com/cran/nws,swh:1:snp:22200afd788bbe4f5f7ffc021c389d699cfaba94
8261,https://github.com/cran/mvtBinaryEP,swh:1:snp:861b6d10d3ed147c9e89d73d0c11d4c9501dddff
8265,https://github.com/cran/bnlearn,swh:1:snp:ea6175f5f849b57a5505bfd6782b3f439030f7c9
8268,https://github.com/cran/gRain,swh:1:snp:500891251a2886f3f0ffa1830096399915c89cde
8269,https://github.com/cran/G1DBN,swh:1:snp:5cbffe94bc12f4499068271652baee291dd67f8b
8270,https://github.com/cran/rsprng,swh:1:snp:1321fe2f445344b9b74079e2c6b1f9f46c947c35
8283,https://github.com/cran/adehabitat,swh:1:snp:9c685c88d7308e2c369a931c67e325e83c69cd59
8285,https://github.com/cran/RArcInfo,swh:1:snp:97b4d0ac403cce07155ce7a77b4993d74634cced
8287,https://github.com/cran/raster,swh:1:snp:0fd3ee1266906d3f2fb65350fb15de7f7f2d6137
8290,https://github.com/cran/splm,swh:1:snp:0c00dea68ce4129a8638f4e10d034fbe7aaf1f4c
8291,https://github.com/cran/spacetime,swh:1:snp:f09f06f3c03d37b3363bc7fcb7d7fb7340adda86
8296,https://github.com/cran/aspace,swh:1:snp:08372b4d5d1570c61ad9ea6067b22ee871e13906
8303,https://github.com/cran/adephylo,swh:1:snp:69aefa9e13a977696839b41920976e4685362061
8307,https://github.com/cran/pegas,swh:1:snp:559c62f51b1f714a1c99250ebd15700ea54d0306
8323,https://github.com/ls-cwi/natalie,swh:1:snp:2c3469817736c83af08341755afb65f4cdbec1e0
8365,https://github.com/vegarant/spgl1,swh:1:snp:4fa5ecd7b5af8b07d2a5783e15c09f1a0deccb0f
8380,https://github.com/RBiezemans/MsFEM-in-FreeFEM,swh:1:snp:bd1bc1fb8b0ea5a12ddf9d55cc99db0ce343a88c
8385,https://github.com/cran/Rcpp,swh:1:snp:17be22b1601b9452af58f3203158f0e8a43a148b
8387,https://github.com/Pat-Laub/EMpht.jl,swh:1:snp:b58afd9b8320ff475760401df893653532b06650
8420,https://github.com/rs1909/knut,swh:1:snp:322ff16eef6b17298948054b34c2eb2ce94ce090
8444,https://github.com/alexkaiser/SimplifySum,swh:1:snp:2624a30f431ea6402faeb8edfd2cc40779828347
8463,https://github.com/pysal/pysal,swh:1:snp:cbe4fdfae82665d7c9a97a026a5c5f1655398dcc
8482,https://github.com/cran/rrcovNA,swh:1:snp:e6d4854db205ccc0f345d9aef25ef93a37d26ab3
8531,https://github.com/cran/GWmodel,swh:1:snp:e7073419af8d97d2e2e37dc48a09c0ffdfdc7590
11613,https://github.com/cran/grofit,swh:1:snp:80d1eb0fd84dc2b7f4841cc2ad4eea9b181e158d
11617,https://github.com/cran/nleqslv,swh:1:snp:18bf04787215a375b82828a5badc47af441f03d6
11623,https://github.com/cran/optimx,swh:1:snp:0450efb809bcfecdf25e7ab7c4ed8384bef4720d
11626,https://github.com/cran/pracma,swh:1:snp:b3a5fc6fbed9aac7ed211347af9a4ebf34da900d
11633,https://github.com/cran/setRNG,swh:1:snp:3677ad7426fe6324f9409cd0e6af97474e26db86
11634,https://github.com/cran/smco,swh:1:snp:b6de8af2b117a24ba33637dc91966906523b4bf3
11721,https://github.com/cran/logspline,swh:1:snp:dd1cfd5380c60dc0aa8f1099a6e50a984e7b1a76
11729,https://github.com/cran/superMDS,swh:1:snp:60ea43c35838e73c139e9506d520cfd695cc3b56
11734,https://github.com/cran/HMMCont,swh:1:snp:a604073304c80821503a194ea2c9a084dfc58be3
11747,https://github.com/SuperElastix/elastix,swh:1:snp:7f88389ef9534967cf4fb4afbef6cc346c1fa955
11751,https://github.com/cran/RnavGraph,swh:1:snp:8b28b07c627898a52400614006aadb99ded99c7c
11754,https://github.com/cran/R.oo,swh:1:snp:8a9697c84d72f7bc53ac592c7adc4c2069bbd6a1
11761,https://github.com/NTRUOpenSourceProject/ntru-crypto,swh:1:snp:6fc1ec248a85025913885297c49c58afa94117ad
11789,https://github.com/JuliaOpt/NLopt.jl,swh:1:snp:1c9bccbb01b6584f3f7ac19d21946623d8422db9
11795,https://github.com/cran/QUIC,swh:1:snp:497f8b538c8a454d45985678709a1619573d80dd
11796,https://github.com/cran/R2jags,swh:1:snp:c05e5d2dd385d3b4f9103eeb3dc307468dab6cfe
11798,https://github.com/cran/covLCA,swh:1:snp:9074a6e7b00b32535f778a785ec5d2f5693e06d4
11803,https://github.com/cran/agridat,swh:1:snp:86d23166fecaa1e2ff45248e341772f1fffcae51
11810,https://github.com/cran/dmt,swh:1:snp:9558402e5bd56dc3d8d715306d85ff4c0e0f0cf9
11812,https://github.com/cran/B2Z,swh:1:snp:c9bde1ce26e7d50e8d0a2c3e371743a773e79ee4
11829,https://github.com/cran/RSNNS,swh:1:snp:15576f2f32a8a935f65434622179971c8e896c04
11834,https://github.com/cran/RxCEcolInf,swh:1:snp:825ab7284a775c45f9c059bbe72d1a834be0bd64
11929,https://github.com/cran/SunterSampling,swh:1:snp:f8405c29ffa6ef9c3519f2823e94e37908113fc7
11937,https://github.com/cran/RDS,swh:1:snp:091458c6fb34ffcb2e8d1f231268f557c9e01bf7
11942,https://github.com/cran/saccades,swh:1:snp:86747894e04b152dceaf48fb2c3f00bf6b1e7b2a
11943,https://github.com/cran/saery,swh:1:snp:e669b9571561f5e0077c962a6c8750fc324f1f9e
11944,https://github.com/cran/sapa,swh:1:snp:c6c40fbc2c948cf7a49c2abc7d165ab6ef892337
11983,https://github.com/cran/kerdiest,swh:1:snp:b55ab3b649d774c31313953608e476d46d918020
12004,https://github.com/hplgit/odespy,swh:1:snp:e0c83ddd357c330d9a303f90b3975766e5f37ab5
12064,https://github.com/cran/seeg,swh:1:snp:d2654dfef499b683e4e9b5c1878fbbb19c5885c6
12065,https://github.com/cran/seewave,swh:1:snp:9c912b256f51466391f05ffc1a77b14b107da8b5
12151,https://github.com/cran/SenSrivastava,swh:1:snp:b95b9067f2f8c0f216e9982bbeb6ca676e37bcbc
12177,https://github.com/cmu-phil/tetrad,swh:1:snp:725ed9cc674eea21d09d72899afb98dc5c294e26
13966,https://github.com/denismaua/kpu,swh:1:snp:c6fd9b681fb943c5958526d0dfca40a0c09b3a1a
13979,https://github.com/cran/fExtremes,swh:1:snp:7e9ac480539cb06d3bec89ff478af6faf4f35d82
13988,https://github.com/cran/cts,swh:1:snp:4462eaa06908f3f7395974307836641efd37620f
14006,https://github.com/cran/rrBLUP,swh:1:snp:58d943ba7a3e8fd3de4c056afa004a9da72ff750
14008,https://github.com/cran/BGLR,swh:1:snp:7e779e79bcadc4788b3d547d6b520cb8224f9889
14012,https://github.com/cran/sfsmisc,swh:1:snp:102eed4b9eaccf4d71b1e0bc786d91c8b8b42ed8
14029,https://github.com/cran/rrcov,swh:1:snp:592dbbd36d662da5d85b43ab169694ab2b06be12
14034,https://github.com/runtimeverification/javamop,swh:1:snp:5a6a4a2b47a4689e64e7fe928ae62fed817c3d0f
14046,https://github.com/inducer/pyopencl,swh:1:snp:c96f9b86c37855cfd4ce69118bf732a698731de2
14051,https://github.com/tcsprojects/pgsolver,swh:1:snp:13f50bdf63c3586f36f126490dc5bc92b830af7f
14139,https://github.com/cran/gputools,swh:1:snp:5504b86f237e4b225011893a0ce0b21b1ce3b7a7
14251,https://github.com/sdcTools/muargus,swh:1:snp:f22e14dcf4c4d74a3cd1f705d2f88644e0a52210
14300,https://github.com/rlpy/rlpy,swh:1:snp:814bb5a7136a9de0d8f348ae1cffde3e7bf7bcb3
14302,https://github.com/SheffieldML/GPy,swh:1:snp:ed8a58698a1b1e54fef190ae104683c569b86053
14311,https://github.com/samindaa/RLLib,swh:1:snp:d5727764addcc1de06557441c8cc777d89491008
14318,https://github.com/cran/camel,swh:1:snp:462474e8df3bde111fae225d4067741ab852e063
14323,https://github.com/cran/D2C,swh:1:snp:e107404f6ca5b3992b5e9558b67c2f0cb94c196a
14352,https://github.com/gap-packages/rds,swh:1:snp:2d2e489f4c97dc8c261528398dc9396a9b49fba8
14372,https://github.com/gismo/gismo,swh:1:snp:3495423d6fdc315ee654a08408002aa3cf695254
14374,https://github.com/jeffwong/imputation,swh:1:snp:6713dad80c2875e8af972eb60fc53d72e47586dc
14378,https://github.com/cran/gRapHD,swh:1:snp:63dcc7ce434dab3eb208085e5d41e7bb219d4a61
14382,https://github.com/cran/emoa,swh:1:snp:7f60224aa8200732b20849e74d3975a243f37f19
14388,https://github.com/cran/interferenceCI,swh:1:snp:3a54950e44af91123ddf08530dce7a6fec63fdb1
14389,https://github.com/cran/kergp,swh:1:snp:01a2d8732fcf1f022a9eabf04ef730ab9c1cd664
14390,https://github.com/cran/DiceDesign,swh:1:snp:53ff9e99af540854c4fc329b645540b15d8625c5
14391,https://github.com/cran/cccrm,swh:1:snp:13cc2103e3a951d554b2e7ba6bda07a11c30703c
14394,https://github.com/cran/randomForestSRC,swh:1:snp:9810803e26bc7e947f354c814b9f4128035a2512
14431,https://github.com/FESTUNG/FESTUNG,swh:1:snp:02ce45cfc96ead93ee5728d146d0d4f7cf3b7cef
19001,https://github.com/cran/Pegas,swh:1:snp:559c62f51b1f714a1c99250ebd15700ea54d0306
45004,https://github.com/jongrumer/grasp2018,swh:1:snp:4da0a481fb37c7bedb3a6aadb994dc93c8fbc661
45003,https://github.com/lkampoli/kappa,swh:1:snp:688571a545db9f76489e039081a4f9e4f02b3176
44999,https://github.com/shounak1990/ChromaClique,swh:1:snp:980e588c644e9175b90f9fe44d8f59ce3a1bf714
44995,https://github.com/ToniWestbrook/paladin,swh:1:snp:b4dd77914d1fbc6c498b8fa20acbe117cb037339
44993,https://github.com/molpopgen/libsequence,swh:1:snp:811869a10c9715cafab779979b95b5c5f15ea132
44990,https://github.com/chrisquince/DESMAN,swh:1:snp:fbc3a748a9c07f9f912e059a66f7858242b195ab
44985,https://github.com/fungs/taxator-tk,swh:1:snp:24510afe8d53d6050f99a64b6adb0fd3d0d03ffb
44968,https://github.com/shoaibahmed/TSViz-Core,swh:1:snp:bb22f3bc69bb9d3398456b6d4325285c2eaae810
44963,https://github.com/imdea-software/fcsl-pcm,swh:1:snp:1abca0b1eaae3fb9847b19111bb00eac17838464
44957,https://github.com/psci2195/fflcu,swh:1:snp:d777936642cfd89c257a6d715681ce6f04dfe7ad
44946,https://github.com/JRSijsling/curve_reconstruction,swh:1:snp:2e2c9a3cbcef863c12a7649f200143353cc1288e
44943,https://github.com/homalg-project/ArangoDBInterface,swh:1:snp:65fad2b8c918c23833745e3b1eb3d6405b96d10f
44938,https://github.com/ORNL-QCI/exatn,swh:1:snp:cf8ecc2a690dfc2a60cb33f7bf648ccdbef4a1b9
44934,https://github.com/jrlagrone/rbcpack,swh:1:snp:519319c32248a460790219aa7f1541399ba0aa49
44932,https://github.com/stochastics-uni-luebeck/LevyArea.jl,swh:1:snp:aeb41dce8bd87cc1ccffe9641187eb5c96be62e6
44931,https://github.com/Godisemo/SDEModels.jl,swh:1:snp:c5946f451bffc5e83e97b7ab284adce995a49bac
44773,https://github.com/tangjianpku/LINE,swh:1:snp:735274ac854ba5fc8cec7affc5c937da99509440
44772,https://github.com/facebookresearch/clutrr,swh:1:snp:897d1171b2d1502705aef6a89c8ea3b431b6b36d
44770,https://github.com/DeepGraphLearning/GMNN,swh:1:snp:be87093fd98be1515bc3bf35536677ba9aadcc3f
44769,https://github.com/benedekrozemberczki/walklets,swh:1:snp:e559ff378a6bee9009ff8529eef709995ce92032
44767,https://github.com/datquocnguyen/STransE,swh:1:snp:c9ced4ccfc505a3304ef493388079410673f8611
44766,https://github.com/lrjconan/LanczosNetwork,swh:1:snp:5887984d527eeef37df750cc9dee1a3c7016172e
44765,https://github.com/danielzuegner/netgan,swh:1:snp:3c3f81810d13c7684563c5d139f77a1b83dbc755
44762,https://github.com/yiminghwang/qWGAN,swh:1:snp:d72ee18c95feb9d0d46130e8cc9c86deb3fe140b
44750,https://github.com/ilyak/libefp,swh:1:snp:a78f2aa263f23a5e625581dde828ec71da303bb2
44742,https://github.com/gnosis/libunistring,swh:1:snp:02d40f5fe3dd729a1ef0f1d9a9adcbdab997f300
44699,https://github.com/uwnlp/event2mind,swh:1:snp:167a2d994e3b0086d6c7d1ed519a500179021e95
44697,https://github.com/thomas0809/GraphIE,swh:1:snp:33da4225c834ef82c9ea96ddf1c7cda7eea8422d
44355,https://github.com/splay-project/splay,swh:1:snp:5769606b8eb89c78e6f54f1df3fb879c920d267a
44353,https://github.com/fmaia/dataflasks,swh:1:snp:c12bfcfedba22830de5f499be72b901c806c31b5
44343,https://github.com/elastest/elastest,swh:1:snp:d8c2736034682cb1e9fac4f897ae46f2a55cb22d
44341,https://github.com/jopereira/minha,swh:1:snp:32e24b21d0e7119927009a54b5933645351ed6cb
44340,https://github.com/meyer-nils/fiberoripy,swh:1:snp:1a510c94f3cfa44b751292fc4edd5f9151c59585
44333,https://github.com/crossecore/oclinecore,swh:1:snp:a48128d9ad04b7e4f2114001086b3ad8a270bc8f
44332,https://github.com/OCL2AC/home,swh:1:snp:bb9e133b4968ffd37372ef196236da576717baa8
44321,https://gitlab.com/dglaeser/fieldcompare,swh:1:snp:cc3ad3b0615ad0ffd1632f654d82655473ece735
44315,https://github.com/VITA-Group/ALISTA,swh:1:snp:8bb23078be813ce860bda9bd7f3a5c6caec50a78
44300,https://github.com/vicegd/jgraphs,swh:1:snp:220e46a557f495f9e8eed3c1488b65aa0699cce8
44297,https://github.com/srush/SemiRings,swh:1:snp:2a9c5ec131b8757432c2ab4cf2f41a5bbcdc3358
44292,https://github.com/samuel-yeom/fliptest,swh:1:snp:a836fd8ad3c7d53264a5dfa137daa517ec606255
44288,https://github.com/ut-padas/rchol,swh:1:snp:f5759b3ae04ed77eabfbf9be06437626bcc905b3
44284,https://github.com/Apress/string-algorithms-in-c,swh:1:snp:d69018179db540ad11309d0effdc252941d66c52
44283,https://github.com/mklokocka/seminator,swh:1:snp:c7cde7d6b1d2b7becf5c3482b6fac3f3d72de3d5
44270,https://github.com/Echtzeitsysteme/SimSG-Example,swh:1:snp:45bfafc7090895b303315b28f4e021819c4610e0
44268,https://github.com/jona2510/PGM_PyLib,swh:1:snp:98c90ea0da63ff81ba7ca793f2401e70e5e8f29f
44267,https://github.com/ragnhildlaursen/SFS,swh:1:snp:d2d863a8df0e4611dbc861814f2d3651ef25b775
44260,https://github.com/mmsnasser/PlgCirMap,swh:1:snp:de47a8c2b9586f033d4d0bed08c4235d755d0872
44258,https://github.com/khameelbm/microfiniteR,swh:1:snp:0a3940f335eb3c2cab4058a3e76274fad9722587
44257,https://github.com/findCP/findCPcli,swh:1:snp:3f1a778ec80b6b7a5fb947bd7ad3674e576897ab
44256,https://github.com/rhz/fragger,swh:1:snp:f8ca43017776c18364f25f61c5d1b0b0820df7ff
44235,https://github.com/jkirkby3/BsplineDensity,swh:1:snp:98745840c6562077138ae1e8cc302988cf9c72f3
44230,https://github.com/AnjishtGosain/DerivativesPricing,swh:1:snp:2c6da6aa6ea1749b3a9595695ec4237f8cf1c722
44214,https://github.com/MichaelRawson/lazycop,swh:1:snp:c677a6c755932a798b449f58073713294ae26852
44209,https://github.com/dblotsky/stringfuzz,swh:1:snp:a15e2cbebbd2e34635e5e359cd540f2a50b06f34
44206,https://github.com/rxncon/rxncon,swh:1:snp:f09d41c0dd9c541bc529ce0d77123ff70a6bf9ce
44203,https://github.com/Verisig/verisig,swh:1:snp:691e1fb2174161cca9b06d21d8b3145d2165a079
44201,https://github.com/amirgholami/anode,swh:1:snp:cc7ec1069454ba24e4c551976d92b861b8332780
44200,https://github.com/stanleybak/nnenum,swh:1:snp:4162c79fe56a5333e25cb9b53344d361f07d6367
44197,https://github.com/xbpeng/DeepLoco,swh:1:snp:261fd762b56e0f89acc115b43aa1c54ce1e8431d
44195,https://github.com/XuhuiM/PPINN,swh:1:snp:c9dee845525e7b028795cceac9ab5cd356d18dd4
43392,https://github.com/tanhevg/GpABC.jl,swh:1:snp:4ea114ec75d76ab85201bf63247e10f6417026fd
43391,https://github.com/bio-ontology-research-group/D4,swh:1:snp:9301fd5af2c32cd52e33cb2cd102938b3ccbd027
43390,https://github.com/linDing-group/Deep-Kcr,swh:1:snp:1651bbc95fe55c619a6311fbdbdc4c23458c8e48
43389,https://github.com/SaraOmranian/PC2P,swh:1:snp:e2c085183b3cd3e838cecfec8064293084a77cab
43380,https://github.com/davidwarne/MLMCandMultifidelityForABC,swh:1:snp:be189c10ec6027c469d3b16a9e3b44bebb0f919f
43378,https://github.com/gwr3n/jsdp,swh:1:snp:68d0e608a3bdac8f9a6efc046697fce71aedec45
43374,https://github.com/miditoolbox/1.1,swh:1:snp:6dc0b665a4dc6849aec0b8c03a2d904ae6c11fb9
43373,https://github.com/Euterpea/Euterpea,swh:1:snp:8888fbc4890ea30e48222572bc956c0f99b7aba4
43372,https://github.com/salu133445/pypianoroll,swh:1:snp:304f5121abc1d2661ca74792bdd054f622e3ddc9
43368,https://github.com/chrisdonahue/LakhNES,swh:1:snp:1e8fc4754a5790ae1a866ea1203b979bf6862452
43366,https://github.com/AI-Guru/MMM-JSB,swh:1:snp:129d1f5820ec7119fa549689b85575984f2c2a07
43360,https://github.com/carlosholivan/musicaiz,swh:1:snp:29b6aea6d1f11b84820f7713e7033f0bab2d988a
43353,https://github.com/SwathiSheshadri/pose3d,swh:1:snp:df4775e24e12f7162333ff104755d26481b9db33
43346,https://github.com/ehsanasgari/Deep-Proteomics,swh:1:snp:f702197c7413d8bbd4872a7f91acb2369fd86dd6
43340,https://github.com/VGligorijevic/deepNF,swh:1:snp:db7069cbffc29ff20c6df9c8c7a6d70e3b98296c
43335,https://github.com/bio-ontology-research-group/deepgo,swh:1:snp:fd63a3657e23cfc3f3a3af49dec4b9709930ec71
43332,https://github.com/HanwenXuTHU/ProTranslator,swh:1:snp:5f545ac1c75475c72b5184101e2aa6b166d39b40
43330,https://github.com/nstrodt/UDSMProt,swh:1:snp:42687b7dc70a19a238f66143c8398f030fb0698f
43324,https://github.com/cbg-ethz/pathTiMEx,swh:1:snp:aefa556c4e0759355764033994beadb10dc262f2
43320,https://github.com/langmead-lab/vargas,swh:1:snp:0970400f0777b0ab59bc99cf4d38d80935aa0205
43319,https://github.com/eth-sri/astarix,swh:1:snp:e915fcbb36e544ec0c86bd08abd4ccd55249ecca
43313,https://github.com/liyu95/DLBI,swh:1:snp:18a68c7249f2dfbef5583179363f807678d92f25
43311,https://github.com/Ecogenomics/CheckM,swh:1:snp:b4f01052b21248397572969bcef6f6ba205e447b
43310,https://github.com/songweizhi/Binning_refiner,swh:1:snp:e69be6f2928ad1b82cb615777a7ab58a3603817f
43309,https://github.com/bxlab/metaWRAP,swh:1:snp:9d7e978f66dfd5f9ad04a37b7777bd4898eb71fc
43305,https://github.com/sufforest/SolidBin,swh:1:snp:1a175af928b68eb6f1274cbb0fcb2d85a764e09a
43301,https://github.com/ProfMJSimpson/TravellingWaves_ElHachem2021,swh:1:snp:fdc3a7c6a9b15c948bf7cff2c0fab389d018247c
43299,https://github.com/loneknightpy/idba,swh:1:snp:06d67f11ed3b6ae09cea02380c2671c44af175a4
43298,https://github.com/GuillaumeHolley/BlastGraph,swh:1:snp:193b075f8db829e95642a7d17d5e07013aa5d966
43297,https://github.com/readmapping/essaMEM,swh:1:snp:9b9f8f87880227ea42d4a815eb8735af8a64db29
43296,https://github.com/Martinsos/edlib,swh:1:snp:ecbbbc409cc549de3cd2547c6c32c14f7a4005b9
43295,https://github.com/suminb/winnowing,swh:1:snp:8514f00add6d1fa7cd148b3f15f8d0cc93de5824
43294,https://github.com/ChaissonLab/LRA,swh:1:snp:60e317add4be9556a2931bbc26e9694d5562c4ab
43291,https://github.com/jzbio/MultiTrans,swh:1:snp:242b7a696399c7fa62632be4d38f2b3798c97a15
43286,https://github.com/shunfumao/RefShannon,swh:1:snp:4bf2ca447926e1a6b67c8b32834f814cdc03e116
43278,https://github.com/Firyuza/SGAN,swh:1:snp:177565ac1f75bd95eca392e5f96b07a932872d82
43276,https://github.com/YuanlongLiu/SigMod,swh:1:snp:8cec90b54f4c4a98f087398e57e7c4712f033fa9
43273,https://github.com/barabasilab/DIAMOnD,swh:1:snp:b67d54497f4a8ebd098e0af6ba6a1c4b205c44e9
43272,https://github.com/alexjcornish/SANTA,swh:1:snp:90d402eafb8e45c4dc4d879fb522d07c552326f2
43268,https://github.com/ferryjul/fairCORELS,swh:1:snp:2cd83bd208501a9fc69b42f55479e9581eabda13
42381,https://github.com/textX/textX,swh:1:snp:e7eb7e17eca82a7fc7052814cf82a62b3fb53a99
42376,https://github.com/cran/polyqtlR,swh:1:snp:ba4101cf74b43a5302ef8f1dc4ac58a4deff7a57
42375,https://github.com/cran/polymapR,swh:1:snp:76f22e541a53e9e3de758b208e9bce892ae4f8c9
42372,https://github.com/SeldonIO/alibi-detect,swh:1:snp:faa0997a7b45844a08267b531bd12f04d0c493d2
42367,https://github.com/energyinpython/pyrepo-mcda,swh:1:snp:034b45016d6f54ab93c256fa441c6d0d1de2b826
42354,https://github.com/supernnova/SuperNNova,swh:1:snp:17425418c1223fd72b4224aca653094753363bf5
42343,https://github.com/cran/mev,swh:1:snp:8aebee024a6c58f2e59cd15e147d590f76d8e1d3
42321,https://gitlab.com/cassiomura/euler-poinsot-solver,swh:1:snp:d8c10f27657f445722579e1021b434dad235a90d
42310,https://github.com/JuliaPOMDP/FactoredValueMCTS.jl,swh:1:snp:e8944b6002cc086f92accd9ac99708806c4766aa
42297,https://github.com/UCL/RefbasedMI,swh:1:snp:8ddbf3041b04c96f26063b3d6194acb5de7133dc
42296,https://github.com/cran/rbmi,swh:1:snp:7db31359add5e1757fa266dbb90b45889f535bc3
42286,https://github.com/JaiPizGon/NeuralSens,swh:1:snp:4791e02c8df7e4a6d0d298d7e0ccb998243e6b6a
42283,https://github.com/cran/GGMridge,swh:1:snp:2edaf1d7fd1668331de6a3bd50e99b42d3271683
42278,https://github.com/TuringLang/AdvancedHMC.jl,swh:1:snp:8b39385169adfa56d375e027c2643b5add557e92
42277,https://github.com/JuliaGaussianProcesses/Stheno.jl,swh:1:snp:03bcaf9235a84a39706683dcbd4868eda68fe1b3
42276,https://github.com/JuliaLang/Pkg.jl,swh:1:snp:306c35161762302fbaebfbc734c1fa98f333119b
42258,https://github.com/swiseman/neighbor-splicing,swh:1:snp:af1ed64fe418b28879b72dee8b3a4fbdf8bd0c35
42256,https://github.com/xiaojunxu/SQLNet,swh:1:snp:37cb95230b5ce4c0be88de1d0549978508348b8d
42253,https://github.com/taoyds/spider,swh:1:snp:1febd166cb89a26996857411d687823269cb4050
42244,https://github.com/younglululu/DeepPINK,swh:1:snp:7be843e6fef3b63537920a2fdbf638984adb25b2
42239,https://github.com/dtamayo/reboundx,swh:1:snp:5d1c46a91c74d15ac5222b3cdc8e8ce7fb9d250c
42236,https://github.com/3fon3fonov/exostriker,swh:1:snp:44ce65b293175ba3e68caea503a85a49bad184ec
42235,https://github.com/shadden/celmech,swh:1:snp:9845d73e012410a4937f2e03f9959eb9c07e2337
42234,https://github.com/hyperdimensional-computing/torchhd,swh:1:snp:46e77eff8453734c7f0f7dca90692b02b2455662
42232,https://github.com/scikit-activeml/scikit-activeml,swh:1:snp:ba6d0774c2a85597b4ec5c60db5867aa18756b5a
42231,https://github.com/skorch-dev/skorch,swh:1:snp:c8d5a7f8d0b146db45c3f8b04d45d5ef8918af61
42230,https://github.com/google/flax,swh:1:snp:f507690a28f4361043a11c0473a90dd5b42ef593
42229,https://github.com/RelationRx/pyrelational,swh:1:snp:a9179e1630589dc1114c7e16f4517d36e248c9e3
42226,https://github.com/kjytay/fwelnet,swh:1:snp:8e400d0767c3bab79d60b9c6e59b2582a406ff2f
42210,https://github.com/meshpro/pygalmesh,swh:1:snp:ceb8d973e638e6ab9351031f8e3b141b9192bcf1
42209,https://github.com/cran/logitnorm,swh:1:snp:572ca598e600f65cc34aab2d4bf1b4acc0ec18cf
42203,https://github.com/geopy/geopy,swh:1:snp:cf071476d0d514691c7e4f499a5016095a187c63
42200,https://github.com/cran/EGAnet,swh:1:snp:8f5ee21227207d3d6e0fca1232f3ab8898144b9c
42191,https://github.com/arx-deidentifier/arx,swh:1:snp:aa7eecd54ea1113964e02faacfc5cf61134935f6
42189,https://github.com/realrolfje/anonimatron,swh:1:snp:9435f99b8bb9de400004848e34786b16a27c68c0
42166,https://github.com/lucass-carneiro/QuasinormalModes.jl/,swh:1:snp:6ea8bdad6e4da16d4963f7f5033a17b0090b2e21
42164,https://github.com/lxml/lxml,swh:1:snp:0ab40de6dc69effb047332f5de8e34d6a7f0a5b4
42162,https://github.com/joergbuchwald/VTUinterface,swh:1:snp:cc454b56bcc396e9242076c93ac7cb79757b9327
42161,https://github.com/joergbuchwald/ogs6py,swh:1:snp:96207b7618dda240456e58d0b0501b02def22a25
42160,https://github.com/baxmittens/VTUFileHandler.jl,swh:1:snp:13c3b67c72bb55095cc52580c198f9787c8ee46a
42156,https://github.com/byuflowlab/GXBeam.jl,swh:1:snp:3f135d3f1de226a709bf9d58f9690e8e1bf2f2c3
42155,https://github.com/FEniCS/ffcx,swh:1:snp:c70047bebddf9ca7baf71e897f6584d8d8eb79ec
42154,https://github.com/mscroggs/defelement.com,swh:1:snp:84448b31fbde60df7b94490a8084a0e890df4e23
42152,https://github.com/cldf/cldfbench,swh:1:snp:a0ec5218fa47c1e42678c227beb0de2870959c71
42151,https://github.com/cldf/cldf,swh:1:snp:7a71d87530165d6074b686c52240ccad4225ac18
42149,https://github.com/digling/edictor,swh:1:snp:1c1169bce81a3ca371afeef71baa2435be252a4b
42148,https://github.com/lingpy/lingpy,swh:1:snp:35402b5d5bb9a66d7d20345e01d663b7d36904cd
42136,https://github.com/itrummer/codexdb,swh:1:snp:f768afcdb4c87206c4d22f2cf94f99ec6544e293
41133,https://github.com/InteractiveComputerGraphics/SPlisHSPlasH,swh:1:snp:a52366833391f5c3fbf36a829615edb5a46b38e3
41129,https://github.com/alpertron/calculators,swh:1:snp:6ffc8a639421693bfb633e09ed1041e650f2c453
41125,https://github.com/firedrakeproject/Irksome,swh:1:snp:86293e0d7073e314acc864ed1e8dd21c846a7303
41119,https://github.com/deephyper/deephyper,swh:1:snp:c1fac8bf246710f5576deae44b294c782bb110ff
41103,https://github.com/cran/rasterdiv,swh:1:snp:1ba2e322d4afb88a97cb7f0e1875c9762fd0622d
41099,https://github.com/LAPKB/Pmetrics,swh:1:snp:ea2146965d1eecd4049e3f4b07f4a3d71a2b76cb
41098,https://github.com/mdolab/dafoam,swh:1:snp:9dacfb334bcc130ea40bfdbf9a8f7c23d0614677
41095,https://github.com/martinjonas/Q3B,swh:1:snp:592a31831caf8db7a87b5e8d73630117f0b5d93c
41093,https://github.com/meelgroup/ganak,swh:1:snp:b1c3fc4ac0a00945c6f858f3dfc60350e445299e
41082,https://github.com/arminbiere/kissat,swh:1:snp:460a44db15ad1d702792361ebdf7ec0c0f37e9d2
41080,https://github.com/tanyongkiam/cake_lpr,swh:1:snp:c5087148bf14955086d93f3e4ec12254f2d54d66
41074,https://github.com/SCECcode/pycsep,swh:1:snp:f123b4ab4ce83c362aabe18730a6625ea91f2257
41073,https://github.com/fonsp/Pluto.jl,swh:1:snp:d4ddc7d9fb21128ece651dfaae3be57765d9e05a
41072,https://github.com/JuliaDSP/Wavelets.jl,swh:1:snp:088ab146fd6a0cf9d6a51f43c5fc14a45ebb82a0
41061,https://github.com/cselab/Mirheo,swh:1:snp:4aac7588133e9a5f4c9c0bded02ed969bd2a5d86
41060,https://github.com/cselab/aphros,swh:1:snp:f4de8abd734a72cda30de8764fa015adf5a90ef9
41059,https://github.com/cselab/korali,swh:1:snp:0cf41752709e5ab77bba6aa6ed0a6c63805c801f
41054,https://github.com/rileyjmurray/sageopt,swh:1:snp:0606c1033b2773b855337a6c8430b24260909bc6
41050,https://github.com/pyg-team/pytorch_geometric,swh:1:snp:fa2d9c5b61f9bdd6ea063909edb74de54a7f5039
41049,https://github.com/NVIDIA/MinkowskiEngine,swh:1:snp:fdc39b2e69b8f34d60a06e8629bb20917751cd23
41044,https://github.com/cran/Copula.surv,swh:1:snp:7a5b41f693f66126969e2688a951420853542b85
41043,https://github.com/zhuyifei1999/guppy3,swh:1:snp:cd1432f4c2b46fb205162291b849174c9ac6b220
41033,https://github.com/gammapy/enrico,swh:1:snp:2a250b2db9e7588e8f0b15fa2fdea644e9d9d6f2
41012,https://github.com/wangru25/HERMES,swh:1:snp:c410bc0491a6c98697f59c58f270b67abd6edae4
41003,https://github.com/Psychtoolbox-3/Psychtoolbox-3,swh:1:snp:fe1afbd0c622159bcd81d54b13509e83c87c9d60
41000,https://github.com/NSGeophysics/GPRPy,swh:1:snp:2b9c7eecfabcaa6d70632ef05b7087888b90feed
40997,https://github.com/cran/SMLE,swh:1:snp:eea16853b1b59e8f45ffde1d07fc5ecd9b9c5d83
40995,https://github.com/cran/ebmstate,swh:1:snp:a525464c77c51792e6e9dc868cdce8f8073b5925
40989,https://github.com/adevaucorbeil/karamelo,swh:1:snp:1919d28d79ae125bf6c4c06ba358b55ad140924c
40972,https://github.com/cran/BayesLN,swh:1:snp:7553d339d23188dfe211b9d0b37ef377b451da4c
40951,https://github.com/AlgebraicJulia/Catlab.jl,swh:1:snp:de5bcd3a56dcac616712353d9ae65dec6db26629
40948,https://github.com/CQCL/pytket,swh:1:snp:c65aaa5d3452c4eb347e844c5254c70a5727cebd
40946,https://github.com/tu-darmstadt-ros-pkg/hector_gazebo,swh:1:snp:b53bce7e4a892cf239d446c05462a174eadb673c
40935,https://github.com/sigsep/sigsep-mus-eval,swh:1:snp:472e3162dee6739c16b51ea98f3f5099282c4ee1
40934,https://github.com/sequence-toolbox/SeQUeNCe,swh:1:snp:613c1299660cd0a4cea4620c52dd3458af1ee0cf
40932,https://github.com/tqsd/QuNetSim,swh:1:snp:a10f72943a442d342ce0d2c332610d3385892fc0
40929,https://github.com/cran/tsfknn,swh:1:snp:557acc539fd38286fd9b9315650303fc743ab305
40927,https://github.com/cran/bcf,swh:1:snp:3e8abe3865bd6eecd795b1b058c5c5d12d9207e4
40921,https://github.com/sfc-aqua/quisp,swh:1:snp:cf197356b65fdc7d56c7d4b1c17e5652138569db
40919,https://github.com/zhangylch/REANN,swh:1:snp:6bae38a6e5d3cdfbfe0bdd4d7de347d4e9b26f03
40914,https://github.com/cran/iGraphMatch,swh:1:snp:a25f63110a9dc887aec6088bfd89295500d7eeb0
40901,https://github.com/Quantomatic/pyzx,swh:1:snp:75f74ef1626ebd8c3f7f6b74e223a48b5579a756
40895,https://github.com/deepmind/dm-haiku,swh:1:snp:3fcc965dd67adcef4f737f65e19a1b229f48d81f
40894,https://github.com/taichi-dev/taichi,swh:1:snp:d30b149d13929137ef31cc3a17e374c01be930c1
40893,https://github.com/taichi-dev/difftaichi,swh:1:snp:752a64315f313511f5b281d65a4f310a37d1face
40892,https://github.com/FluxML/Zygote.jl,swh:1:snp:857b3546571fb314a23d74bf888f9171d3c4c6e4
40889,https://github.com/google/jax-md,swh:1:snp:072cf965572151f93b0c84188e750498b4d84379
40881,https://github.com/cran/bvartools,swh:1:snp:cda2e45edb283be316530fb559726d9d041c299b
40877,https://github.com/cran/distreg.vis,swh:1:snp:04160e4e2363f17ccce4dd65cbb3992cf5310cf9
40876,https://github.com/cran/gamlss.tr,swh:1:snp:437c9483ff585ea30f3cc221bde04b59edae56a2
40862,https://github.com/cran/pexm,swh:1:snp:4725d8a62d686e70404e23123b306357523f0e70
40855,https://github.com/cran/dmbc,swh:1:snp:642419b3539253b3be3239ff547217725ac14131
6098,https://github.com/cran/UsingR,swh:1:snp:2802c3c854bd89bd242beab76a535af263535cf0
9625,https://github.com/cran/hierNet,swh:1:snp:da43557ed794998e74d5be0f6f5535171cdf26b5
11207,https://github.com/cran/invGauss,swh:1:snp:60b50b0afb3b487933074776f80b86fd65c6ef19
11347,https://github.com/cran/partsm,swh:1:snp:721c63b4feafc349db2d6a3c65e9b4e232885bee
11749,https://github.com/cran/meifly,swh:1:snp:9f1275673e4555e7f4ea9bd5335dbabb49a08bb4
11936,https://github.com/cran/osDesign,swh:1:snp:92ff10848e342005905a12a8bb96991df1ebc73b
13903,https://github.com/cran/samr,swh:1:snp:a2bbf3e0046d8d311f6078be5be4964a44e58532
14366,https://github.com/cran/rpartScore,swh:1:snp:deeb7a7339146ebc4406ead268e7c6832a084398
14570,https://github.com/cran/FuzzyNumbers,swh:1:snp:95a148a6fe6fa3d75fee0affd52651c6ea3cdb3d
15284,https://github.com/cran/rtdists,swh:1:snp:c3d187e26a0b4d98dd3537796423e821ef4882c9
15534,https://github.com/cran/squid,swh:1:snp:8dca436d3a2b9e9ce96ea9818e47217d06801af7
15757,https://github.com/cran/PAFit,swh:1:snp:d15b21a73bc8508d707bf393f52e9342d2d43483
15986,https://github.com/cran/classifly,swh:1:snp:1d3556517003e3a37d5679a154a1516ae39f59f1
16187,https://github.com/cran/mclcar,swh:1:snp:39ecb4c148084f71fe092078b87ff2016aed3dee
16234,https://github.com/cran/catIrt,swh:1:snp:58c4ad717a63d25285ae0572a0dc67e3d5109060
16236,https://github.com/cran/irtoys,swh:1:snp:67672e62618a2d8e1c27b14bcae61522142b9f58
16284,https://github.com/cran/RcmdrPlugin.BiclustGUI,swh:1:snp:f8f5aa2877b8d08ce170e37498d4950c0b42ea89
16405,https://github.com/cran/subscore,swh:1:snp:4eb1b3cdb6476c7ef94c2d993ab86a662c46a45e
16513,https://github.com/cran/ClustVarLV,swh:1:snp:f6f222c7f5a9946cf3c13a7775094131ed605733
17063,https://github.com/cran/MethodCompare,swh:1:snp:d576890e98310065a833b5ecadcb3ed0b19838ea
17212,https://github.com/cran/NPCD,swh:1:snp:779f298bfc959a9460f6818f645e280b787da666
17792,https://github.com/cran/speaq,swh:1:snp:92f03010cf75ed37e635c93870b402ba7260ea2e
17853,https://github.com/cran/eva,swh:1:snp:6cb9f9574ddea71cabc9bca4c98d2392d8a502d8
17882,https://github.com/cran/BiBitR,swh:1:snp:74874903e915a5fc33b0a5a1bf610a47697bd1ed
18280,https://github.com/cran/subsemble,swh:1:snp:84590d8c6f2fc1791989800e19f051a90931d59e
18485,https://github.com/cran/MRCE,swh:1:snp:56f1ba04848fc7930bf61ce653f73efe77e6ac13
18676,https://github.com/cran/PoSI,swh:1:snp:f45c1764b84a4d1f471a7c60a9a2a63afa463737
18916,https://github.com/cran/Evapotranspiration,swh:1:snp:81d2a94ac383d12fdbc9ccf1960caba62f23ee01
19052,https://github.com/cran/survsim,swh:1:snp:58c3cca2ce1e904bf3aad7a013bf4aebdfbe9d39
19124,https://github.com/cran/selectiveInference,swh:1:snp:ba701b2792aeb4b0c3601601411eae7430574118
20074,https://github.com/cran/LocalControl,swh:1:snp:a9b266fc33e38f68156ad1d974b846f1d2125105
20436,https://github.com/cran/canprot,swh:1:snp:405873c9be0becd7ac8edbbc29207eae31a3bd13
20893,https://github.com/cran/ClustGeo,swh:1:snp:40d1bdf54fa763630b017a69792330bf7082a55b
21072,https://github.com/cran/multgee,swh:1:snp:2f11610c12869ff1530fd555920611ef2b6c9e2b
21870,https://github.com/cran/mpr,swh:1:snp:0d874a3e2f5bcc3a6b02dcf6fd1cb4060b41afe9
22044,https://github.com/cran/r4ss,swh:1:snp:b9d67759bd28bbf0d52f7ab32f824fce6b4c8aa6
22734,https://github.com/cran/MANOVA.RM,swh:1:snp:c9fbfe978ce0189c6713faafb8599f236a1416e4
22735,https://github.com/cran/GFD,swh:1:snp:23650a47532104bd00881f4779121ed52ec87dd8
23434,https://github.com/cran/iWeigReg,swh:1:snp:5ef13241b70a46f55a0874e60f567e3a157aa027
23807,https://github.com/cran/BootWPTOS,swh:1:snp:2a348a545eddda918cf4e3d69683a20dc8afbf2e
24288,https://github.com/cran/s4vd,swh:1:snp:13a6279750d95bba9b5456d8d2472d5f5a2ac607
25734,https://github.com/cran/hapassoc,swh:1:snp:fd918cdb6bd5b674f8d1d8a03868d877ccfea140
25863,https://github.com/cran/cdfquantreg,swh:1:snp:2dd0933da0d2092fa24ecc9cbd3930ac369672b1
25943,https://github.com/cran/WhatIF,swh:1:snp:ae6d64a21328ea02c3e64ab986dbfb4a8741d2c6
26192,https://github.com/cran/CTT,swh:1:snp:ad6273796f4fe7a1d881466905e7760e34c4a535
26200,https://github.com/cran/randomNames,swh:1:snp:bb9b162dfbb1f4b353963d78df27726107fb9ab6
26302,https://github.com/cran/ordinalClust,swh:1:snp:f24510384614c65dd9bb603b2bf5a98d47724a1f
26560,https://github.com/cran/rBeta2009,swh:1:snp:90e59d3df708b6cc5e737f412f8723f0dbc8a0a2
28038,https://github.com/cran/GPGame,swh:1:snp:d36cff7ee01db86420836d522cec52c230f475c0
29174,https://github.com/cran/finreportr,swh:1:snp:0c940c4c384e2dd3489f2874e53a1b723248597e
29750,https://github.com/cran/plotMCMC,swh:1:snp:b9463f57627b09d8f5318e2d626052145e2daf2e
29958,https://github.com/cran/DataCombine,swh:1:snp:b86f9c0d5ac55a8c05e31088d5cbd70fa5b5b7ab
30003,https://github.com/cran/StereoMorph,swh:1:snp:2eb98a1f6bf6b2653e519f4f91efc3d3b84ded6e
30769,https://github.com/cran/BayesNSGP,swh:1:snp:b0b60b7ed1ecd2288ff8d31110139ded7986180c
31342,https://github.com/cran/spc4sts,swh:1:snp:4f0de33e89a6cf386c525df0c802fe1d234dc0bc
31409,https://github.com/cran/affluenceIndex,swh:1:snp:1fa8a8924340f02b269caa44d9f209472ba03d7a
32004,https://github.com/cran/FSinR,swh:1:snp:f9a99ac1291ca9cbaa9de6b1b214d29a11827c34
32514,https://github.com/cran/mFLICA,swh:1:snp:e93ed8dc2c96bda0e37b75acdf51a3609d90ff09
32595,https://github.com/cran/ebmc,swh:1:snp:1395e94ace2f1873b7e2e629ba99546fa7cf9f48
32641,https://github.com/cran/rdd,swh:1:snp:1730b18ac367ff3c9d25396671734a33270d5479
33925,https://github.com/cran/VLTimeCausality,swh:1:snp:26ebcb69edd7ad4ae0460622cacaf31cda465520
34897,https://github.com/cran/CorBin,swh:1:snp:ac101e7a5f1738777ff55034b6eac9825a28c042
35508,https://github.com/cran/tidyHeatmap,swh:1:snp:14753d2bd6404c5aa46088c75e9fadcf4a70fb3e
35585,https://github.com/cran/npsf,swh:1:snp:5bdc003d74e17120633f85f74719d659fb16acc4
35606,https://github.com/cran/pogit,swh:1:snp:1ed60deb54c397fd079be54e41ea97b1b0c3cb50
36819,https://github.com/cran/enetLTS,swh:1:snp:e708c89cea76ff0f8d66014c6c4f65e598e75941
37242,https://github.com/cran/qtlcharts,swh:1:snp:cfffce3d392582c88b96b1cf1ee64a7aef8ee23d
37250,https://github.com/cran/mixexp,swh:1:snp:8a01ffbac4fe8792c7830313a69fb2da9f48da03
37580,https://github.com/cran/biscale,swh:1:snp:6ea039df3741827eaca5fe4dea8a83a3307c0ae3
37936,https://github.com/cran/ssfa,swh:1:snp:2a20452c6ea9bc150e19223df05ba6eea0ca0285
38298,https://github.com/cran/condGEE,swh:1:snp:1e8ad6e0ee909a797591f259977a7fdaed47ba92
38395,https://github.com/cran/obfuscatoR,swh:1:snp:a651f6d229430a1069c387cfeb8b07dff99a4265
38548,https://github.com/cran/EPT,swh:1:snp:f2af2930cc2791fa75a91a42a78c0d69f59b1408
40319,https://github.com/cran/SWIM,swh:1:snp:75aa7541bcfd20781751b9c15923ba3af069bd38
40364,https://github.com/cran/RATest,swh:1:snp:fb6039997e19fc0821083583437e48c82454ec87
44633,https://github.com/cran/rminqa,swh:1:snp:10253a502356db8e3cc3d6e2dfce511f4669e77a
44263,https://github.com/cran/epimdr2,swh:1:snp:5f52e66670ba71a66e8cebdf9afe388f923660ac
44227,https://github.com/cran/MBHdesign,swh:1:snp:f9b7dace462c9e5a95af13f9d80c13727773eb12
44077,https://github.com/cran/stfit,swh:1:snp:938fba554c8394ae0b8ddafc00f0d529aaaf11c8
44064,https://github.com/cran/SLFPCA,swh:1:snp:4c0d49a54ad5df716d762d8194990a29dd88bd7e
42444,https://github.com/cran/outbreaker2,swh:1:snp:b13ddc66d650b1ffaf9de46dcdf4776a5fc41c1c
42430,https://github.com/cran/LPsmooth,swh:1:snp:f74df4bb1b3067ec8fac0553e7e86685befe3d42
42222,https://github.com/cran/squeezy,swh:1:snp:ac1675c521cafa06c378beff604a6b8e183c835e
42220,https://github.com/cran/binspp,swh:1:snp:02d07f5dc13a2d00cfe0890d1a5978dcbfc30f74
41784,https://github.com/cran/LFDR.MME,swh:1:snp:255a1965fb4fb841bf813a34ca602f04f78b879e
41734,https://github.com/cran/TukeyRegion,swh:1:snp:376fcb5992fb5f366f1761f9b7ee042395b9c07d
41718,https://github.com/cran/cohorts,swh:1:snp:5486740b99499b8c33302d17b12b8f9dee3fad44
41528,https://github.com/cran/r3PG,swh:1:snp:8d3fd13957ec2c0580e2b460b5b14863a052fcc7
40912,https://github.com/cran/MetaStan,swh:1:snp:c0546563413b2098202a72403893103fbf45ea6f
40741,https://github.com/cran/jagstargets,swh:1:snp:4a67e0cbcf9fdc56af042f9c24db9abbc1179133
46532,https://github.com/cran/creditmodel,swh:1:snp:f9e008df63f25cdaefebe79a82aaf9aad3598c8c
46304,https://github.com/cran/divseg,swh:1:snp:24fc2cdb93b1978576a20ab30dbf9be91b6efbb0
46284,https://github.com/cran/matchFeat,swh:1:snp:ab911d8cfe73614c0b88ef5f79237243be874e37
45991,https://github.com/cran/LAWBL,swh:1:snp:f2ddae2eef2efab9f9e4822b068d52e6f11ba620
45946,https://github.com/cran/ridgetorus,swh:1:snp:4ad49f6fe7a6a2ca208face57b343134fe01c5b6
46015,https://github.com/cran/biogrowth,swh:1:snp:5f5f98b70bb2a9f14c08df9c84e85771d540e7b0
45388,https://github.com/cran/hdcate,swh:1:snp:2f18982ae5e6937d8dc7d2b4d0e2fe24d271e50a
46365,https://github.com/cran/RCT2,swh:1:snp:788151d6a86e6129e4ae991cb4842ec85bf818ec
45807,https://github.com/cran/prinvars,swh:1:snp:ec9b11f61d2ecebeb597803281449a662a3b4a0a
46806,https://github.com/cran/neuronorm,swh:1:snp:ddd6875b670b4765ea429f788ca4f2fa0b9348ec
6770,https://github.com/cran/MVR,swh:1:snp:53c4ddec9c7c35c8284f3ecf949775e20adb7f1d
7947,https://github.com/cran/hmmm,swh:1:snp:9b34c9a5c46d43e2135e361ea7bf70cfa65aab6b
8191,https://github.com/cran/npmlreg,swh:1:snp:139e04d2e3b834e1226ba38f5251504c4eacb105
8252,https://github.com/cran/snowFT,swh:1:snp:7acf1e04c0ad3f9ed9e8787c00b6f5d8ef909774
11047,https://github.com/cran/Fahrmeir,swh:1:snp:9414dc6acef7f7064eaa203cd613c60a3d54c404
11100,https://github.com/cran/depend.truncation,swh:1:snp:c6d8bc5aa98f6fc0647cf18ebf42e95c2a7cd5da
11354,https://github.com/cran/PrivateLR,swh:1:snp:5637aecb8798eb660f62d5541ccc09fc33f66974
12174,https://github.com/cran/shuffle,swh:1:snp:e7813b8d2b262ed91b59bf105f962fbe2c5cfefb
12360,https://github.com/cran/ump,swh:1:snp:e411029331cbd92f7b5daeec4e9d6b646438749d
12447,https://github.com/cran/OPDOE,swh:1:snp:1dac02018283dcbe1ad0cd8b85736baf930718f4
13211,https://github.com/cran/cmrutils,swh:1:snp:62c5539875f4bf4c19ee926da9af1405c939133f
13791,https://github.com/cran/RNetLogo,swh:1:snp:a65b4d8bafc8d67b07adb673dbfe612e36e72b04
13827,https://github.com/cran/binGroup,swh:1:snp:f0345d60454b835216ba4d29bbcbd193f3557f81
13955,https://github.com/cran/DAKS,swh:1:snp:46c1e33831f3bde25674a92c2cb2dadfd17702f0
15215,https://github.com/cran/ClustMMDD,swh:1:snp:bedfa6aeb650b38483c6dbd9b78327a373521433
15285,https://github.com/cran/clusterhap,swh:1:snp:19a3af6fffb87ad98432a8cb94179992d2b07108
15318,https://github.com/cran/PhySortR,swh:1:snp:36ba8331beaeab69bd2efefc0a9afb003d314f9e
15334,https://github.com/cran/DisimForMixed,swh:1:snp:6579a47500bca1be2df18cc3eb1dabad8cad3611
15536,https://github.com/cran/DiversityOccupancy,swh:1:snp:00ec6ed6db47412a11c046586dcf651cb743ff10
15550,https://github.com/cran/PortfolioEffectHFT,swh:1:snp:baf63cd36761d50ccbb74fdb1e7937054aadb355
15784,https://github.com/cran/Dark,swh:1:snp:ea4eb92d7af0ca1b708d295d7081cccbd357fdc0
15861,https://github.com/cran/rootWishart,swh:1:snp:8239edb22965d1a6ad460871364495a2a076bdac
16011,https://github.com/cran/stilt,swh:1:snp:525d03e0a11379659a729ec05325c5a877cd53a1
16017,https://github.com/cran/ELYP,swh:1:snp:237add467246cf2348c6961777162311c13ac67b
16280,https://github.com/cran/vaersvax,swh:1:snp:67e65c18dda8bbe9e11dfe359d2f1a44fe7bd543
16516,https://github.com/cran/VarfromPDB,swh:1:snp:abd8d331d0bd5f4fa91b1ed2fa8d683037a8db1b
17748,https://github.com/cran/ALSM,swh:1:snp:f5a97c0071bd150c58405f81c9c9c4e6b21e6c89
17924,https://github.com/cran/evoper,swh:1:snp:de054e9df5b17afbb57df4fafb1d33347c8fdbb6
18012,https://github.com/cran/binomSamSize,swh:1:snp:923b3d47233d5587cd9a3b5dac2af73e0fe8bf47
18021,https://github.com/cran/misreport,swh:1:snp:9102430b755712998d4a05436f60a2ac01cc78c6
18038,https://github.com/cran/orclus,swh:1:snp:f77ac6cdcf7a8266107b02739f7e2f2611c89af1
18450,https://github.com/cran/normalr,swh:1:snp:c6ee434475f16ee3483630dab97e90d5bf4add2d
18929,https://github.com/cran/warpMix,swh:1:snp:306043d19671cb9fc02cffd49c8f5c65946c5192
18938,https://github.com/cran/cope,swh:1:snp:17b0f7581865c589331602fd3097d02d6b65341f
18957,https://github.com/cran/ncappc,swh:1:snp:a866a2d6e7f6fa35a7ef1b7694edf278c2e3f9a9
19110,https://github.com/cran/gbts,swh:1:snp:cd518f73efa9ddff7591397fe2e2972a17c2d66c
19174,https://github.com/cran/remindR,swh:1:snp:366e5e020b95927226252b4f310f3d00b44bc45c
19433,https://github.com/cran/sejmRP,swh:1:snp:40978ab4715a16ba8197ede1ce7b38950da5d720
20381,https://github.com/cran/HDtest,swh:1:snp:7ec7dd55863b13737d28a7ef97e7dc4deffc0b40
21047,https://github.com/cran/SetTest,swh:1:snp:2fa5972ae7db1c8dfb0f910107a8cc86a5a134bd
21316,https://github.com/cran/perccal,swh:1:snp:b6deb8fe669283927e53df8234d984b57b1e149b
21381,https://github.com/cran/ensembleMOS,swh:1:snp:f8b2a0711e8e9eb0be9831c8323d8e1a69bfcc74
21810,https://github.com/cran/rope,swh:1:snp:2f5e6cbbe4ff44089db67e311a369f4aed1313db
22373,https://github.com/cran/Rbent,swh:1:snp:0cadb505430423e5df157d94e3c3da6c2cca64ed
22705,https://github.com/cran/MDPtoolbox,swh:1:snp:43508af7bdecaf1b1c4ce0ae264ce0925312581a
22967,https://github.com/cran/nsROC,swh:1:snp:d63918034cce7b9e7f6a89f7545282df45e70518
23281,https://github.com/cran/ZIM,swh:1:snp:8f4804593b87c96501298df2bf27dbe096f273fe
23388,https://github.com/cran/idendr0,swh:1:snp:cdf0edb3b15472db0625e0c1c75b9836fb8c5197
24203,https://github.com/cran/gems,swh:1:snp:baad31a80c710e78040bdf4a7fc9a5d5413927aa
24293,https://github.com/cran/VarED,swh:1:snp:4b25625b081baae35505322b5655b3b8ce44b373
24689,https://github.com/cran/approximator,swh:1:snp:808a345ca96de8e5d989ed93b3e0efebc610ad3c
24990,https://github.com/cran/eDMA,swh:1:snp:e6a98e9412fa0bfcf2434f608119a45507272ed5
25297,https://github.com/cran/DREGAR,swh:1:snp:33ce53fc28be8666a53c62ae83af800004e69f6c
25411,https://github.com/cran/chemometrics,swh:1:snp:f7f7c05349693745c7df39c0cb3a2551f8d6577c
26038,https://github.com/cran/dyn,swh:1:snp:8149ab3d8181c78230926620a4dd0c84f4abe5ed
26418,https://github.com/cran/ROlogit,swh:1:snp:cc7997c593aca3573286444e7c090a586c1bd4aa
26544,https://github.com/cran/mumm,swh:1:snp:3e1bce88d929dea67355edc3312905996c069f00
27162,https://github.com/cran/DAP,swh:1:snp:d9c355107959662e6a2c2bcf5b46a33a8bf27548
27287,https://github.com/cran/XML2R,swh:1:snp:86387384ffd6ee8109367d263c2f16a00d171405
27457,https://github.com/cran/ICSShiny,swh:1:snp:160d8f749f361b27e793a9e57b268a3fb182098f
27785,https://github.com/cran/lrmest,swh:1:snp:fca134f979136b7807018b840b0925e309d73643
28039,https://github.com/cran/DiscreteLaplace,swh:1:snp:05e0c9da812c1f351f3143fdc30513e85f6815e7
29160,https://github.com/cran/KraljicMatrix,swh:1:snp:6437ee4cdf55c6fc231cdf4e1bde08548fb5c3da
30157,https://github.com/cran/OxyBS,swh:1:snp:13eba04bf4454b2f1775547e157007762c24a923
31169,https://github.com/cran/kirby21.t1,swh:1:snp:ad821958fb47dac06e21a3189ece90dcb7407752
31329,https://github.com/cran/FASeg,swh:1:snp:fc9b0ff278f3e19dc4a93d3c31ae42882f4da8bb
31519,https://github.com/cran/logKDE,swh:1:snp:b7a2fece41a960fb14101178d34ad7eb3ae672a4
31673,https://github.com/cran/productivity,swh:1:snp:72d18f172adefe3386bfe1dd1989bcbb79c2c1e6
32136,https://github.com/cran/aster2,swh:1:snp:402196bb5f9d8dd161c115484c11d136385aca76
32588,https://github.com/cran/fastmaRching,swh:1:snp:cb40d6eb38eff10583d6ad63b3b5d581391486ec
32947,https://github.com/cran/uskewFactors,swh:1:snp:8811ac8029ef180f77600d2eca4f84f018edc13e
33174,https://github.com/cran/frair,swh:1:snp:8a4d3ee825a1b5205df1109aa427ab9a172433ee
33258,https://github.com/cran/spaa,swh:1:snp:ac02709c181b920212feaab1ea4c5ecb95fd7829
33472,https://github.com/cran/purging,swh:1:snp:0cc2836e2d74bef19d81db6fc7f828cd2a1db139
34073,https://github.com/cran/SCI,swh:1:snp:c48872e19ea896e85a0d19ef48b9d8fa35dad991
34213,https://github.com/cran/miLineage,swh:1:snp:23ec033f3cbf705d7f6bd43a8dd2e32d5e59dd98
35309,https://github.com/cran/clusternomics,swh:1:snp:c7e30f91b1183a9059ca3f88f5f667a57555f196
35487,https://github.com/cran/OSCV,swh:1:snp:45c35d1ab85d218df8b757ec4869c950b1b52f01
36317,https://github.com/cran/DOS,swh:1:snp:80f38078d65b745261e71049bd3fd67a2053daf2
36481,https://github.com/cran/engsoccerdata,swh:1:snp:91ea38b1834493cc3635bcc6076a0c7632457f40
37120,https://github.com/cran/ForecastComb,swh:1:snp:d6195cc99586c4c85e31b95a6d1b31d83b6f08d5
37275,https://github.com/cran/mdscore,swh:1:snp:51902ff66d2ecea52046b4330dafde6114620bf3
38054,https://github.com/cran/recexcavAAR,swh:1:snp:a2bb5c963a421a1d18b5b337dd3537d0e75a293f
38438,https://github.com/cran/PartCensReg,swh:1:snp:4eafb34d2196540aefbc446d7e1def2facd29a0b
38471,https://github.com/cran/BayesSpec,swh:1:snp:2ad65a41e35c2d750e49c4a883d879b74a02abd2
38473,https://github.com/cran/JointModel,swh:1:snp:80dfe1fc4ae339121cb779e3dd67ec914667b5ae
40160,https://github.com/cran/mixchar,swh:1:snp:7b287fa9c93f859231f0c8833b4ae58c5ea90a5b
40315,https://github.com/cran/IndepTest,swh:1:snp:8dc67570a607dd65eebd2be298eb22a40f2591d5
44377,https://github.com/cran/funnelR,swh:1:snp:6ffde342364cdb114af97f02af99d82c2bb9f9c3
43015,https://github.com/cran/RSSampling,swh:1:snp:d6ceb3325ae4c01e18b492c0fb73e006533c8065
43014,https://github.com/cran/EM.Fuzzy,swh:1:snp:95e62739a4e7fa3240a21d7b21afb4ebf9e34234
42966,https://github.com/cran/rospca,swh:1:snp:7af74dfc50ee6b6fc50815c5fa0181e8f33fef8d
41729,https://github.com/cran/Ultimixt,swh:1:snp:d9d78f8dc9af728c943a9b1508316b004c35ab96
41415,https://github.com/cran/mtsdi,swh:1:snp:56048e0ae1dab9fced9049efb635750226238bfc
41145,https://github.com/cran/otinference,swh:1:snp:c7d0fe3e26127bb4b98a41ce43e01a65bbb3b84e
41035,https://github.com/cran/mstR,swh:1:snp:ca7865e679b4fa8072dbde4ac73298b77a38f706
40842,https://github.com/cran/ph2bayes,swh:1:snp:a529b486d43f78ad40afab2cc6aff1225ca71727
46303,https://github.com/cran/hhi,swh:1:snp:1c6c99a28c72e1abc9ab3b19d44050fa5f47a27b
46538,https://github.com/cran/addhazard,swh:1:snp:26bee5fa97b98984eb11617a67dd99a8dd6eb9be
46348,https://github.com/cran/rcc,swh:1:snp:48f26c56fb4b5eccfaa69aaac73ec6efd85934aa
42127,https://github.com/mdolab/adflow,swh:1:snp:d8759eea4c757bee3c709487757304a11181585c
42122,https://github.com/AIPHES/emnlp19-moverscore,swh:1:snp:c0d94100731b27465a4cf1b9c172f949db0cda89
42111,https://github.com/Yale-LILY/SummEval,swh:1:snp:8066a1ed4916a624bf2417f010b3cf55f34b21b8
42102,https://github.com/AP6YC/AdaptiveResonance.jl,swh:1:snp:a54515d184066b2ebfee8ac51de5d3cfe914bd9e
42096,https://github.com/SimVascular/svSolver,swh:1:snp:adb99c776f5fd4681d28ba779fed731fd91b6d84
42094,https://github.com/DENG-MIT/Stiff-PINN,swh:1:snp:9bcc82096d132a947ba5ad38c0046b799458b037
42088,https://github.com/3dct/open_iA,swh:1:snp:92b88175d35844d2fd802cdb10c8d62650181263
42079,https://github.com/JuliaIO/MeshIO.jl,swh:1:snp:6e29b2d1b4330ff7ab464e3df27c7a266c36bed1
42078,https://github.com/gridap/GridapEmbedded.jl,swh:1:snp:35121a453dd8115d647ae111b27822cde91fbaa4
42069,https://github.com/smirarab/pasta,swh:1:snp:4e2a30136046b70b26defaf4a153fb9c5d1a8013
42056,https://github.com/leonghien/Direct-FE2-thin-plates,swh:1:snp:54b28b6c9d4a28dc7e3c9c62645f0a944f04a65a
42052,https://github.com/jxx2/MetaFEM.jl,swh:1:snp:51c61382e975052e0b1e3c820f1a42fb0f4bf21d
42040,https://github.com/lizhengxiao/rMGLReg,swh:1:snp:fdea7f601fccfe801cbac15663a0849a8a70c202
42033,https://github.com/Hekstra-Lab/reciprocalspaceship,swh:1:snp:bcfdcb6b51557351e6ef8e0da03902ec0c22b07e
42032,https://github.com/keitaroyam/servalcat,swh:1:snp:3f07631deb8ef4af9ab76538b989f3fcefb72825
42022,https://github.com/PySpice-org/PySpice,swh:1:snp:908570a2b0e4e1d47db1705c9f695f4471b90826
42020,https://github.com/infer-actively/pymdp,swh:1:snp:c13023ef6eca9b974aacdfe8ac23a6be8682b9ea
42017,https://github.com/nasa/MXMCPy,swh:1:snp:66aa7d29cf6bb892821dec199c8ca608332c0d64
41995,https://github.com/JuliaDiff/ChainRulesCore.jl,swh:1:snp:fcbc2c0e87239b74b5dc8caa4a05842a20ffdc4e
41993,https://github.com/paranumal/libparanumal,swh:1:snp:82be7043a334e3c2e1e1a1f4d2d2940f83489aaa
41983,https://github.com/senresearch/MatrixLMnet.jl,swh:1:snp:eedae8a27989e2978b4426a831ee47a1fcbca526
41973,https://github.com/cran/MarketMatching,swh:1:snp:0189ac9c1e2f39fad0599453990489dac0a1e16b
41969,https://github.com/cran/bzinb,swh:1:snp:75ac7f1c1d13eb6268761b59197a256d9fc9c051
41955,https://github.com/cran/sbm,swh:1:snp:e4d82c7ce1653514143821779fab052853f39550
41951,https://github.com/PrincetonUniversity/athena,swh:1:snp:a184ead62a9487ae47e88421665e390f32756aea
41950,https://github.com/gandalfcode/gandalf,swh:1:snp:aa649b9afe8c3792696beabedc879a4c4ddbdbd9
41946,https://github.com/speegled/fosdata,swh:1:snp:de1f2bcfcfe49e1ad76d70bf2cf6a02dc6e71ff8
41945,https://github.com/isglobal-brge/MultiDataSet/,swh:1:snp:db7348454ffc202469b7354d0b7252eedc7659a4
41944,https://github.com/waldronlab/MultiAssayExperiment,swh:1:snp:0af279318d84aba7052a617e68f8273a85057ddf
41943,https://github.com/Bioconductor/SummarizedExperiment,swh:1:snp:3d0ea90928c7c30c9f0a2f32dc282d09ebdf3ceb
41937,https://github.com/kevinblighe/EnhancedVolcano,swh:1:snp:1e93233107ca896b2df0db5c2dcadf69c48bc13b
41934,https://github.com/galacticusorg/galacticus,swh:1:snp:8bcdf544139539458f5d1777a7d2bc60a5dae2d4
41933,https://github.com/brinckmann/montepython_public,swh:1:snp:dbbaccefb848a81d6f7ee6ac01d0ecac41a7850f
41916,https://github.com/laiguzi/NormalizedRicciFlow,swh:1:snp:5e3afd0db6dca913acee34fcb6cc2532d292acc7
41913,https://github.com/PetroleumCyberneticsGroup/FieldOpt,swh:1:snp:8f4210423565977dae0937fc0045da2a8e4bc46e
41911,https://github.com/GeoStat-Framework/GSTools,swh:1:snp:6a4226d0ecc4e7a7b08941164760df76bc2aa65e
41895,https://github.com/sbmlteam/sbml-test-suite,swh:1:snp:681bde5335afbafb28dc658a58dea8a2bff38442
41888,https://github.com/daochenzha/Meta-AAD,swh:1:snp:b70dd82133c7a7dc155e5e21cb99b67d3aaf424e
41886,https://github.com/yzhao062/SUOD,swh:1:snp:5dc65b1a46f2ad071fc17736122eed6c6c3b8147
41885,https://github.com/OutlierDetectionJL/OutlierDetection.jl,swh:1:snp:2288d3779c0098413b412fc22474a74128878a0f
41882,https://github.com/pygod-team/pygod,swh:1:snp:fa3dea57f75c21bd1efe77a2991446b385f01f1e
41877,https://github.com/chlubba/catch22,swh:1:snp:25fd60939fe2ee1498eaca00df15da76311fb2ae
41855,https://github.com/rodralez/NaveGo,swh:1:snp:955b4fa4155c450f59c4f086c7875b45b19d3e79
41850,https://github.com/shiningrain/AUTOTRAINER,swh:1:snp:280ea1b2ecbda134850d68c6eab64cc7172d9a36
41842,https://github.com/meshpro/meshzoo,swh:1:snp:533b00feab8f5230cc4b390446e4a949f7cf9465
41837,https://github.com/FedML-AI/FedGraphNN,swh:1:snp:abeaf37593b6b7d0507cd02b0f52eb7481839821
41835,https://github.com/adap/flower,swh:1:snp:2df6c93154501af8c04c0d19241d5252843bbf8b
41829,https://github.com/SFU-MARS/optimized_dp,swh:1:snp:37b25ce27c3efe1ea586e1833f60c2a2df9ccca1
41826,https://github.com/vipinagrawal25/MeMC,swh:1:snp:eadcfebbd5f9e9b878e6f2a82f02e26cc99d5f1e
41823,https://github.com/alibaba/FederatedScope,swh:1:snp:f86be3a4736c86aa529b704bb838a082a6146456
41822,https://github.com/tomer1812/pydts,swh:1:snp:0596d448f6a8b6df1581ee5b28a6efdc30aab253
41798,https://github.com/owl-project/owl,swh:1:snp:0d0c9e95e7e1496b6e9eb54b8089266d5367fccb
41790,https://github.com/cran/itdr,swh:1:snp:81db75408c145ad1234a2d32994c6c47028c0ba2
41789,https://github.com/cran/text2map,swh:1:snp:251bc783962ce4e6e30aa9f36fd2c61cb4314e65
41788,https://github.com/AureumChaos/LEAP,swh:1:snp:a3a92c0d8cc8b601644d3358080cf27251d88307
41787,https://github.com/ahmedfgad/GeneticAlgorithmPython,swh:1:snp:75eacda43189acc49701cac5c2d01d8cd7c3e6a8
41777,https://github.com/sympiler/nasoq,swh:1:snp:284c58d75547a2eb11b2b12e40e98ebbf4611698
41767,https://github.com/hanzhao2020/PENGoLINS,swh:1:snp:7c34745ce18c4ab7b4e4deb20635b8c3627b7a3e
41754,https://github.com/zhengp0/limetr,swh:1:snp:eefeee0d39703edd66289b4b447f7deba627e36e
41733,https://github.com/vega/vega,swh:1:snp:143a0f44273ae57087032ddc5c5897d824614be6
41732,https://github.com/cran/gganimate,swh:1:snp:4a668fa9f95496a49cf1161ff91fae3cc0e6f9b9
41731,https://github.com/cran/crosstalk,swh:1:snp:9d60e853a13bf82d75e54c372079c3c0217fed8d
41725,https://github.com/cran/iheatmapr,swh:1:snp:9c5cd4c6fe424a6d8515983dc84379dc9f68894e
41722,https://github.com/vtopt/DelaunaySparse,swh:1:snp:2ddfd3c6a9bc991380a6220392cb6f2c81a4a3e4
41698,https://github.com/arkworks-rs/marlin,swh:1:snp:215cd3bdf73b8bbb93d543230a7f4f0029d6d4dc
41687,https://github.com/micro-manager/micro-manager,swh:1:snp:f8cea6cd34fc1361a4ce61f3413b81a66164f9e0
41685,https://github.com/PaulSt/NGSTrefftz,swh:1:snp:3061a8bf8bc0d7af7abdf7b6105b622e2a073aa7
41684,https://github.com/SandoghdarLab/PiSCAT,swh:1:snp:8542b5a16a3c185832f93b9b4c1ca663373f8124
41683,https://github.com/BackmanLab/PWSpy,swh:1:snp:6d5c9656220ece825a58cbe848e7f18f66ea5a6b
41677,https://github.com/fcomitani/simpsom,swh:1:snp:0b208a8b164529cf3c9d775b1b642714bb10616d
41676,https://github.com/JustGlowing/minisom,swh:1:snp:f1c66f58a78db7b24006e7525c98e7944e4ffcb4
41664,https://github.com/Boolector/btor2tools,swh:1:snp:ba83b1a6133f9fa1f8bc93c1d605f4160b7c823f
41663,https://github.com/cran/PeakSegDP,swh:1:snp:998bcdf215bb1c3fb9f889aa793e4929fc498c42
41661,https://github.com/cran/PeakSegDisk,swh:1:snp:8ce1e04993544fbef4e2d9125615e205318cb5a4
41660,https://github.com/cran/plugdensity,swh:1:snp:4549c3b90f05620168653332964bb4cec066263f
41659,https://github.com/cran/harmonicmeanp,swh:1:snp:7c1ddca17d77149c3930d673bfa2cf306f938677
41639,https://github.com/utwente-fmt/sylvan,swh:1:snp:cf780f736430154747fec47e1644ee2fb9a41761
41637,https://github.com/conp-solutions/mergesat,swh:1:snp:c008e7c79ef6874eece60c998fad8ce714bc7760
41635,https://github.com/JuliaGraphs/Graphs.jl,swh:1:snp:a4cc8e5ef11ade9fb88819726d2b6dec689d1558
41629,https://github.com/xue-pai/FuxiCTR,swh:1:snp:f6ab6cecb34053e49a79ad289dc4b71864056587
41628,https://github.com/fidelity/mabwiser,swh:1:snp:e550b533552b060d8d8337287a9da1e53d7364c0
41619,https://github.com/esonghori/TinyGarble,swh:1:snp:e649a7143c1bd051b21bc71f982f471a7f42a736
41615,https://github.com/llvm/circt,swh:1:snp:90af23cfd78ce29fb75535f7719b46d2147c073e
41614,https://github.com/TRUST-TUDa/SAFELearn,swh:1:snp:05241b48b411187c14069d55af507ca598d4297c
41608,https://github.com/lschoe/mpyc,swh:1:snp:d114e05e455290cf08bfd48c0499d1af2230d247
41604,https://github.com/corail-research/SeaPearl.jl,swh:1:snp:e5b098b652a020445ba5dd0bff72ba13e0442064
41601,https://github.com/UCSBarchlab/PyRTL,swh:1:snp:92c750df9e4b78bb98cc46568c02b5133bf99a76
41598,https://github.com/pymtl/pymtl3,swh:1:snp:6fad142367a57e854220cb4dfcaaf566542a4eac
41586,https://github.com/Boolector/btor2tools,swh:1:snp:ba83b1a6133f9fa1f8bc93c1d605f4160b7c823f
41585,https://github.com/yoni206/lazybv2int,swh:1:snp:d1b6b0327ef0c64b5393c6120e31a55132ba5ac9
41582,https://github.com/LeventErkok/sbv,swh:1:snp:1312bea27aa7438a73bf0e05ebeffa0b52e77073
41581,https://github.com/stanford-centaur/smt-switch,swh:1:snp:c6ef7358aee3e9f3d2742dfc73058723ed3e6324
41577,https://github.com/jungtaekkim/bayeso,swh:1:snp:48653178cd58b4b7f07916576d44fbc6224e8b98
41566,https://github.com/ecmwf-projects/thermofeel,swh:1:snp:3742a107a275352bc5861d33d6a148e21d73e56b
41559,https://github.com/CobayaSampler/cobaya,swh:1:snp:e817b9029b11b3a32e978e4264b2354a2990e7f1
41556,https://github.com/GabrieleSantin/VKOGA,swh:1:snp:8e194973ecac24eca12f7898cb89d008ea00bc17
41540,https://github.com/JuliaStats/GLMNet.jl,swh:1:snp:b4f60f874c54527004b024bc40164ad2dfbab9e6
41526,https://github.com/pyrates-neuroscience/PyRates,swh:1:snp:4fe9c63ea25d56ad61799a41f93edc3985f9dfc2
41525,https://github.com/pygpc-polynomial-chaos/pygpc,swh:1:snp:6bf1d28cc9e38b1d233d9462351eb64fb1b345ad
41522,https://github.com/cran/fasterize,swh:1:snp:09ef6727f4dbf2ca02a3812c80331844bed243c0
8166,https://github.com/cran/optmatch,swh:1:snp:75eae0f554c5632eb09178dcfe7c2da1daf4e5e0
8168,https://github.com/cran/GAMBoost,swh:1:snp:40315c6b0b67e262212b7788b3ee844b109e03c4
8169,https://github.com/cran/SemiParBIVProbit,swh:1:snp:39d2e0ab2ced30ffe0bd16686237490b8528f49b
8170,https://github.com/cran/catnet,swh:1:snp:8ac7a924f295c8c8802cb582abe682eb836de82a
8172,https://github.com/cran/EDR,swh:1:snp:ab10d7a2f10bafe9257a87fd78dce9485986df64
8178,https://github.com/cran/ordPens,swh:1:snp:6d578fa9207414622e6c7e704fe32d52327dec20
8579,https://github.com/coin-or/MOCHA,swh:1:snp:c3b26966fd51a2b1db6eab6edec8929fd42bc3ec
8583,https://github.com/gap-packages/nilmat,swh:1:snp:f143a327bb7c8878689b7dadec006aa08c7ccae6
8594,https://github.com/cran/DCluster,swh:1:snp:83d37196d992d4fd18faae3f2f850f52898bd011
8621,https://github.com/bempp/bempp-cl,swh:1:snp:fd8d0e3677fed8bd6a7ddadf3543881f31682eb5
8639,https://github.com/gap-packages/happrime,swh:1:snp:fd36d0f7df080ef525efe8e50df0e25d65f59dc4
8640,https://github.com/gap-packages/autpgrp,swh:1:snp:a0991261e4598252c12573445927c2e9c1dc52af
8657,https://github.com/cran/rgenoud,swh:1:snp:8eb682bb2a28b8193778dd33221d4b94211ae6bf
8779,https://github.com/appliedtopology/javaplex,swh:1:snp:4609f5cf79559c3a12dd4e017a7db0f0bc7afd26
8793,https://github.com/gap-packages/biogap,swh:1:snp:8389788307eca533e76af34486ac28d34286f9c4
8850,https://github.com/cran/RcmdrPlugin.seeg,swh:1:snp:5fd3aa0ad758ead5f45f15fcaf3130b44acc1f4c
8851,https://github.com/cran/saemix,swh:1:snp:c969279bf83c65781fc3fbc677a0cb181a4b69d8
8976,https://github.com/AShumakovitch/KhoHo,swh:1:snp:22223a3ebbbb913ae7beba4c210246603b332db0
9043,https://github.com/mfem/mfem,swh:1:snp:f0611366eb904c22d3355be220ab08de5a85b20e
9119,https://github.com/jacobwilliams/nswc,swh:1:snp:bc424f06167e7e4506436a8547a760c055089de8
9146,https://github.com/cran/relax,swh:1:snp:39b419a84a1271e725aa01748fd5152fcd454212
9172,https://github.com/cran/DierckxSpline,swh:1:snp:551abe589c111d524ea31759f95c8a9058ab5091
9176,https://github.com/cran/epiR,swh:1:snp:9874c26f7e77275e20e766c5361a447ac7939ba4
9311,https://github.com/cran/bayess,swh:1:snp:b5244e73be429820e5b3941a62c25c55dfc3be36
9313,https://github.com/cran/RcppArmadillo,swh:1:snp:6b4da70d51b3e458ba292469f04eca36c21a3078
9316,https://github.com/cran/gsDesign,swh:1:snp:6e7b54d34655667d13760653e0a4a43e60766b40
9328,https://github.com/cran/doBy,swh:1:snp:4f8984c8ce432d4c89e7eaec484a41b54e5be680
9336,https://github.com/cran/MHadaptive,swh:1:snp:20fb19d70221248a8cfd28f97eac047399d678cc
9484,https://github.com/tracer-x/tracer,swh:1:snp:c1f88e39fd3d6946928931d3d3a6120a5a4d3911
9508,https://github.com/cran/mixOmics,swh:1:snp:1a221ce11059ca3fbd4989649e7379901814119d
9512,https://github.com/gap-packages/aclib,swh:1:snp:2e157dd5f285df345510c360dc9a54781c04b0db
9518,https://github.com/shaih/HElib,swh:1:snp:47daa465e8621feacb15938afdf1a801a806f97a
9586,https://github.com/mohamed-barakat/alexander,swh:1:snp:a97d38d46d88b6f9b5ea7726ae0d3eda4eaac232
9689,https://github.com/agda/agda,swh:1:snp:f03b86a7a4353fa7d870515f804804d28c6e05bb
9698,https://github.com/cran/taskPR,swh:1:snp:601575fc0ed8f0e7ce2109863e674191d8976c37
9734,https://github.com/lonsing/depqbf,swh:1:snp:0b3d4aea97439f1d2002a10145bd0055841a8ff3
9738,https://github.com/EasyCrypt/easycrypt,swh:1:snp:a79f4b68feab2ac7282cb3d53aa5afc70d8a7baf
9834,https://github.com/XKCP/XKCP,swh:1:snp:d2733a75e2fa075867e4ad5c9e7d7b9846a44868
9870,https://github.com/coin-or/Dip,swh:1:snp:ab32932a37a8fd47e43380b5774367d2d7f7bb54
9992,https://github.com/cran/fArma,swh:1:snp:364b19a782be616158a67f1e704a47c10b5ff0e4
9993,https://github.com/cran/fExoticOptions,swh:1:snp:4193b4a60b99a887e42f7f1e7bbeb74ba07b5530
9994,https://github.com/cran/fGarch,swh:1:snp:4db9cd1fa51e6cce912b1f0e14e34524dd0eb9bc
9995,https://github.com/cran/fOptions,swh:1:snp:fb2eab0305240e1c737de74a99a1381f8492feb2
9998,https://github.com/cran/quantmod,swh:1:snp:90addb541507713482d0e26de0ac27685ec2f4a3
9999,https://github.com/cran/TTR,swh:1:snp:a198c7ab7731fd44f9ae2f36cac91d8452f520ae
10002,https://github.com/cran/xts,swh:1:snp:2eac6aa44be7ce9562952aef489e466ef8dbd16d
10003,https://github.com/cran/phytools,swh:1:snp:0007489d88c6d82646925a0bce05921f9ea847bd
10006,https://github.com/cran/Rsundials,swh:1:snp:7273f6f932e7513e0219508f57da365d3e600abc
10007,https://github.com/cran/phylobase,swh:1:snp:dd7ba630e51ce78a40952085df67ab396df1848d
10008,https://github.com/cran/ecodist,swh:1:snp:b1913b4ad2acab0b589264149975f39ce3c536bf
10009,https://github.com/cran/bipartite,swh:1:snp:75a241dbaa20a1253e2d4df5ede5bbc23f1d08d6
10012,https://github.com/cran/GUniFrac,swh:1:snp:aaaab092d7525968d0ca8c38f305a2ff1e9ec99f
10013,https://github.com/cran/SDMTools,swh:1:snp:308dbaf8f3faa7b52e1abb1669208fa5d40850f8
10017,https://github.com/cran/rgl,swh:1:snp:0e700c8835299aacdfd7d9ba5eb33f29a843cc9c
10107,https://github.com/Quantomatic/quantomatic,swh:1:snp:633fcbd24f8e8c119038edd99007160fe2c4a801
10160,https://github.com/cran/spBayes,swh:1:snp:8b274f4351065af421ef5d7cd5816ad9b7c5d2c3
10198,https://github.com/cran/gRbase,swh:1:snp:fa43cca30f1afdc3a2511242d5c070ad3b82a2ec
10200,https://github.com/stan-dev/stan,swh:1:snp:2e3755e21563b688f7d8969e01b928fc19f42b0c
10218,https://github.com/F-Feng/APart,swh:1:snp:de1b333fa2880debe63412cc1aa3612486d2c09b
10263,https://github.com/bordaigorl/graphwiz,swh:1:snp:e176e2b3fb1296d716f2b8f1dcd990a4a01da51f
10273,https://github.com/ovidiopr/scattnlay,swh:1:snp:5603ff6c98540121e6e47d98733a47f5175812f4
10277,https://github.com/flyspeck/flyspeck,swh:1:snp:ed1ea880207967b019fe09654d58c5a854b3342d
10467,https://github.com/cran/Rserve,swh:1:snp:46bd77068cd59d5557a500acc45a7fac43f22cd6
10481,https://github.com/farhanferoz/MultiNest,swh:1:snp:7611969b5092131901556c461db36f7c07eb6916
10486,https://github.com/cran/AdaptFit,swh:1:snp:cf0a890e84a8f42738c6db5a6907c324928ea484
10492,https://github.com/cran/plspm,swh:1:snp:1ed2c17e7edd8149dcd9a0a256e775612b16d6a8
10495,https://github.com/cran/DPpackage,swh:1:snp:ae76a06a3f35dc88d1f18476e2470473a67e2277
10504,https://github.com/ViennaRNA/ViennaRNA,swh:1:snp:247ae88dd60665600b3c7d55079ab176447fffc4
10507,https://github.com/cran/TraMineR,swh:1:snp:0cd622993e6b163e76581088d04ec48dede44bbd
10515,https://github.com/cran/SNPmaxsel,swh:1:snp:63abb315d35e8cf8eb785b9c71dec7e46a10b183
10517,https://github.com/phenotips/grappa,swh:1:snp:9136884c7d3d5b981e78223438df55c51315795a
10558,https://github.com/sbmlteam/SBMLToolbox,swh:1:snp:49fb8dcda9bf31eec65c694ca29fce167d2acbb6
10607,https://github.com/cran/GUTS,swh:1:snp:730ab705925968e84ff13c38dde9b644b8cbf1f9
10608,https://github.com/cran/cda,swh:1:snp:5b595698cd7d0f402341e7f950370fbcb984e73e
10609,https://github.com/cran/planar,swh:1:snp:8d7d2260e3b4cba09477ddea5de3ee9ba741332a
10610,https://github.com/cran/RcppEigen,swh:1:snp:16d5d8ffb8b66da666d75487996b88393840d768
10611,https://github.com/cran/RcppCNPy,swh:1:snp:283cc1751508db521fc55567213a119aa05d576f
10615,https://github.com/cran/RQuantLib,swh:1:snp:ff6711d6dba7cdcc543ef7ce505ce616ce7f6fd8
10618,https://github.com/cran/RSofia,swh:1:snp:0d40c9a4ab986317e47c7639ffba132dd5f90db8
10628,https://github.com/cran/DMwR,swh:1:snp:e62cf14a77991f48a43ef29804cad690ea57c773
10629,https://github.com/cran/klaR,swh:1:snp:0fdd60286447b97a5fa85eb77f98d9c074ea22f5
10636,https://github.com/cran/pROC,swh:1:snp:c7935b01206bc3af9a7f0c16fcaf45e78c0b0a93
10643,https://github.com/cran/tabplot,swh:1:snp:4ec8e83b2d78610a3ebaab5e6cafbf6d4273fc03
10660,https://github.com/commonsense/conceptnet5,swh:1:snp:5cdaae32911106b5e13d235b9641efe0f0940748
10664,https://github.com/cran/pomp,swh:1:snp:c488e8e3460e8f2b72320893a953a00be5b937de
10780,https://github.com/cran/asbio,swh:1:snp:a2de33d4b872146443072e2ae0560c6349c1aedf
10829,https://github.com/cran/gMCP,swh:1:snp:d8459f3c51432efda08a1f96895726cad0f681b9
10836,https://github.com/naa/Affine,swh:1:snp:98ec040d7041bf6c4b2886f0a147f1efce6b2c4a
10857,https://github.com/mschlund/FPsolve,swh:1:snp:c4509fa4ea1f0ac8730a4e44b1e5652aad8648cc
10906,https://github.com/cran/CoxBoost,swh:1:snp:243bc6b31781ce9bece24aab19f3d93a84cb82d8
10933,https://github.com/cran/rgp,swh:1:snp:41d93f6035350312049e49d93cfa5cd56c74e1ca
10976,https://github.com/cran/robfilter,swh:1:snp:848a6062bddda3f89a117a2f4db9b7cfabb898c6
10998,https://github.com/cran/adaptTest,swh:1:snp:02ac6d318359b066e858034ec96cf4ea557274eb
10999,https://github.com/cran/AER,swh:1:snp:f57975321fc1cbb63fe5e489c0356cdb392f55ac
11004,https://github.com/cran/appell,swh:1:snp:a96a6314d92fdb3ad70596e0c57ecc7595b28dfd
11006,https://github.com/cran/astsa,swh:1:snp:912ce1e14ad2cfc6f9ed0bf63f17f533315e6599
11007,https://github.com/cran/bagRboostR,swh:1:snp:b0b66d5e6e2365f7dc0b33941dba07dd8271596e
11010,https://github.com/cran/BayesFactor,swh:1:snp:e46ab6096351d26e642f2e62c51bf9de5e03deb9
36433,https://github.com/XKCP/XKCP,swh:1:snp:d2733a75e2fa075867e4ad5c9e7d7b9846a44868
37712,https://github.com/bempp/bempp-cl,swh:1:snp:fd8d0e3677fed8bd6a7ddadf3543881f31682eb5
42666,https://github.com/magicleap/SuperGluePretrainedNetwork,swh:1:snp:e0e810bdc622e528b772ef19ebcd6086816027c9
42664,https://github.com/HajimeTaira/InLoc_demo,swh:1:snp:dd1bc9354bcc83cb58d4015de873c4555b757acb
42663,https://github.com/vcg-uvic/acne,swh:1:snp:f01832d1a673c33ddca2a2a23d93371f3833e8b4
42660,https://github.com/locuslab/optnet,swh:1:snp:489178d7504384d43649917faea220bf074840b7
42657,https://github.com/chenxuluo/EPC,swh:1:snp:22f5956880dfc0fb85441c3449a956a9f58238f4
42656,https://github.com/lmb-freiburg/demon,swh:1:snp:ec03080b1df02cfab0dfd846d4b41cee2cf69000
42655,https://github.com/YoYo000/MVSNet,swh:1:snp:1a1e99be15b818f1ab2a369b025aad14e0e03e71
42654,https://github.com/mrharicot/monodepth,swh:1:snp:83909fa2d50f3ab37254ab091c4aa333155bf23b
42652,https://github.com/ardaduz/deep-video-mvs,swh:1:snp:e1bdfa0702705ca7e15355ca233d38ecfae91502
42651,https://github.com/princeton-vl/DeepV2D,swh:1:snp:1db2b01321cbbfb4fb600cee25747768dcd08cd5
42650,https://github.com/cran/Rphylip,swh:1:snp:bb7387b5f9a61164046e5bde10d2f840fcf8db33
42649,https://github.com/dirmeier/netReg,swh:1:snp:6ea837c60df5ca9aa490599db66cc7f030530fd7
42642,https://github.com/SoftwareImpacts/SIMPAC-2020-57,swh:1:snp:b4a1a1ee2d0cf0c6ed331e44b93c517e17bbce3d
42629,https://github.com/JJAlmagro/subcellular_localization,swh:1:snp:7a0345c29dbd8245f60936dafd4cc4c935667879
42628,https://github.com/RuohanW/magan,swh:1:snp:02c249b57532f3f0b3e0b225fae853a6a392e73a
42627,https://github.com/fjxmlzn/PacGAN,swh:1:snp:af255d2a52a32fa62b83d25e7798d912f2e9d38f
42625,https://github.com/bbeatrix/introvae,swh:1:snp:dfb9fbdea3b5efe27b18d538d80078d4cae61e62
42623,https://github.com/ammesatyajit/VideoBERT,swh:1:snp:061969882d3b8c192df5c9ad7f926f4c75465baf
42622,https://github.com/ChenRocks/UNITER,swh:1:snp:51936206286321b84901f558e715147d1510a4b2
42621,https://github.com/raineorshine/solgraph,swh:1:snp:49356970aaab8d93becaaef5f00c834da98aaad2
42610,https://github.com/e-VRO/frvcpy,swh:1:snp:eb8d1ef014f419bf5496a39f68e84f2334722516
42609,https://github.com/lukmaz/ethver,swh:1:snp:002de489d808101d85fcb4f8fedaffcecdfbae53
42606,https://github.com/GS1400/LMBOPT,swh:1:snp:d8c1d95e0a29014ceeaa33dbb6fa925e7f816278
42603,https://github.com/samdavanloo/ProxLOG,swh:1:snp:317fb76adda40d099484b460080507331f9c57d7
42602,https://github.com/rileybadenbroek/CopositiveAnalyticCenter.jl,swh:1:snp:ca4d0e6ab9e46c16d734b8ac1754c7eddf7d4db7
42600,https://github.com/shijiaw/smcDE,swh:1:snp:822d24281f6be249cf5a2fdbf9885495ae6ba934
42597,https://github.com/HKUST-KnowComp/TransOMCS,swh:1:snp:9bdf30cfd2431692c44a19121105bce60213807c
42595,https://github.com/caow13/BRITS,swh:1:snp:e0bac3766ea2e64d16f051ed2199b30525e26c27
42593,https://github.com/jesse1029/SiGAN,swh:1:snp:41a35f7ef6c870dfffe3e803551c805f2cbf4052
42591,https://github.com/sudiptodip15/ClusterGAN,swh:1:snp:2fd76f360505f9486bfb50b99c7a123e1547658e
42590,https://github.com/sergeytulyakov/mocogan,swh:1:snp:13519d1b76dee1f80e760c6a7f10e28ed263c15b
42589,https://github.com/steveli/misgan,swh:1:snp:a82e3358baa55e9e19f99efe7ab443c6f669a062
42588,https://github.com/hanna-xu/FusionDN,swh:1:snp:e0989d433b4ad6cedc23a3e8a0aa031bab1ec724
42587,https://github.com/jiayi-ma/DDcGAN,swh:1:snp:3b108580eaac4f906b5d09b2f73894a01d3b7a49
42586,https://github.com/hiddenmaze/Text2Action,swh:1:snp:16f3ad2523cb75f262f43b18be91dbafe3e7e079
42584,https://github.com/NVlabs/stylegan,swh:1:snp:177289b11686527018be513c53f07e35fef023e6
42583,https://github.com/martinarjovsky/WassersteinGAN,swh:1:snp:5113faa2b9443257c565799d6fe83eb8128eecfc
42582,https://github.com/val-iisc/deligan,swh:1:snp:cbd790480753cf11af13b026d7e8251e78a8918c
42581,https://github.com/AshishBora/ambient-gan,swh:1:snp:1bc92088850312cac91747ed32da714bed014879
42580,https://github.com/OctoberChang/MMD-GAN,swh:1:snp:c5e06ea0c2350f0b0797f30fc4346e2240934369
42579,https://github.com/jiayi-ma/FusionGAN,swh:1:snp:6a3689ef1126bb2cf9e58b1cb3d15149d46e4a94
42578,https://github.com/adamian98/pulse,swh:1:snp:baf2a54ec757e6823837c996d4d0accfd483c642
42577,https://github.com/yuezunli/celeb-deepfakeforensics,swh:1:snp:e708b81a45df4868c1af5e35d5a5fe2f30386e12
42576,https://github.com/yuanmengzhixing/AugGAN-Cross-Domain-Adaptation-with-GAN-based-DataAugmentation,swh:1:snp:a0145efdd340de5d0714b78601f88b558064ebd5
42575,https://github.com/carpedm20/DCGAN-tensorflow,swh:1:snp:85dce2ac9eb63411c7b2cd58633294355f0adb02
42574,https://github.com/IBM/BAGAN,swh:1:snp:ef74d8546ec552fcc63285e0cc7c91c91761f3f3
42573,https://github.com/tolstikhin/adagan,swh:1:snp:44dbd5da3e5bc93fbed15d4086720fd431ddeb9b
42572,https://github.com/zhuhancheng/MetaIQA,swh:1:snp:d68b4f609c4a11d4e702236cc597fbfd2897cb0a
42571,https://github.com/XPixelGroup/RankSRGAN,swh:1:snp:b776faeb580ef57a54860f8a00a902588562f324
42570,https://github.com/thunil/tempoGAN,swh:1:snp:6adb15dd04bf3d21d891d4e67543c6db29d90e3f
42568,https://github.com/xinntao/ESRGAN,swh:1:snp:0930a420d81ec569fd5ce222b330898030405e45
42567,https://github.com/YapengTian/TDAN-VSR-CVPR-2020,swh:1:snp:87834b2129370f9845a46ceb9d158a25e5efaaef
42565,https://github.com/andreas128/SRFlow,swh:1:snp:7453c0f7faef6128cfef3359e28ec68d632013b1
42563,https://github.com/xialeiliu/RankIQA,swh:1:snp:e7ef50b68cc33a3a8eee32fc84206f6574ffa6d8
42561,https://github.com/esw0116/DynaVSR,swh:1:snp:c8b2f5348eb367d3d7e0cd15871122160c3e6301
42560,https://github.com/sooyekim/3DSRnet,swh:1:snp:24baff00afa8cd79d9f65b45386f396e730521c5
42557,https://github.com/amanchadha/iSeeBetter,swh:1:snp:9a41f3d0d38bcf61c7a8467af34f5509400ab5ae
42556,https://github.com/ondyari/FaceForensics,swh:1:snp:52280831f05b336b4e0c176bd755213b61d2de06
42554,https://github.com/ISICV/ManTraNet,swh:1:snp:ba55849351368cb64f31ca76a03d3afbeaea53ee
42550,https://github.com/grip-unina/noiseprint,swh:1:snp:210cfe900da5084c52f6c3470e732f3843306b71
42546,https://github.com/yelusaleng/RRU-Net,swh:1:snp:3162a2fa555dcc9e29b9414fea5c7cd60669242c
42542,https://github.com/JiahuiYu/slimmable_networks,swh:1:snp:c37f497515a08b875f642f503e681dd489135b77
42539,https://github.com/AaronHeee/MEAL,swh:1:snp:1574a57edf8e0627b9e706df3dfe8226bfaf0e73
42536,https://github.com/yukang2017/RENAS,swh:1:snp:4e8019e47d698246cfde8f2aea097c7421ead1ec
42534,https://github.com/mit-han-lab/proxylessnas,swh:1:snp:545d49cafdd245c48e71b0f344972408be7547ac
42498,https://github.com/facebookresearch/vilbert-multi-task,swh:1:snp:e0efb7821832f1a212acff04552d48809ed9170a
42496,https://github.com/alvinwan/neural-backed-decision-trees,swh:1:snp:9a2099f91316e12fcceee0c4e4e70314df166f4f
42495,https://github.com/ShaoqingRen/faster_rcnn,swh:1:snp:cfca81dec1e05fd6edf0e51a7e6ff91119fa0e27
42494,https://github.com/airsplay/lxmert,swh:1:snp:a97d260c2bbd3cf8415975f7d6b851149655682d
42492,https://github.com/mwong009/reslogit,swh:1:snp:90621e376c82076bf168a960ac6f273fa5c2ba74
42491,https://github.com/sjspielman/pyvolve,swh:1:snp:dc7568f55f757531c3c74210ebeb52419ebe7b13
42489,https://github.com/DongjoonLim/EvoLSTM,swh:1:snp:a2c501c2842958cf62b0017b4d2415a5558e0975
42488,https://github.com/C3BI-pasteur-fr/ngphylogeny-django,swh:1:snp:229b2dace3e03f74b1608c5fe19692ff28e98d5c
42487,https://github.com/flandolfi/kplex-pool,swh:1:snp:ff808a0381b7358f21794f8831701e611fb222d6
42484,https://github.com/bonej-org/BoneJ2,swh:1:snp:49a49bcf481201e90d52fc6363e9dfa0f09e5645
42481,https://github.com/SolavLab/DuoDIC,swh:1:snp:5d85c5f52b8de6a32c0bdba88e05da805c8f7ec7
42480,https://github.com/cran/mixComp,swh:1:snp:6cbf2e8650d3c323540b0c219076de5593057478
42479,https://github.com/ropensci/tidyqpcr,swh:1:snp:5f717426a51b3a3264e180652ea56052a1a14711
42461,https://github.com/akanimax/msg-stylegan-tf,swh:1:snp:8b97e0854f9c562b452913c01ed1fa80b4153fd6
42460,https://github.com/fyu/lsun,swh:1:snp:d4549712d2022c23775eaec7e144f90be9092ce5
42459,https://github.com/hubert0527/COCO-GAN,swh:1:snp:deb48ab23f869ca5bf30e34bec5b16d0ff33e627
42453,https://github.com/VITA-Group/DeblurGANv2,swh:1:snp:bff0ee41ffcb17947ae8a12052be150dd637bf13
42450,https://github.com/VITA-Group/EnlightenGAN,swh:1:snp:240a32ba19be9feafb96216233219ff9b4e3c229
42448,https://github.com/ICascha/QuantGANs-replication,swh:1:snp:a24e468f77203de6d43e71a39b392ade186399ff
42446,https://github.com/YafeiHan-MIT/TasteNet-MNL,swh:1:snp:5463a705452d6405812966e71bab1a7da3bd9ec0
42443,https://github.com/skgallagher/InfectionTrees,swh:1:snp:63043f87b206dfc25f98a629bc832cc1db8a4fab
42439,https://github.com/D-marina/CommutativeMonoids,swh:1:snp:637383992866002198a427fbd720922c282d4bc5
42436,https://github.com/miknab/EuclidEmulator,swh:1:snp:848ece82832f5420500e04e34ab60f68b3853bdd
42429,https://github.com/christineyuen/CSUV,swh:1:snp:6f94a86fb04a89b6d7320c326aaeff9c675d93e4
42427,https://github.com/kevinmcgregor/mdine,swh:1:snp:3b368588c7a0de499d8ca19bb304efc916f0713e
42426,https://github.com/huayingfang/gCoda,swh:1:snp:91ade282e6a58e598fbec88a5a8e7602f762caff
42425,https://github.com/mkoslovsky/MicroBVS,swh:1:snp:c60ac9e81454af149215685e672ab99c36b8c4cf
42409,https://github.com/kobigurk/cpsnarks-set,swh:1:snp:76a9940f82429bab485d3ce1807c8a9c1eaf7962
42405,https://github.com/cran/CrossClustering,swh:1:snp:74e1e311bcf3722e187e8577ff70ad701ce207ec
42404,https://github.com/cran/eventstudies,swh:1:snp:9684acbaa7b45d9b8e84facdcaa650c68cce4702
42403,https://github.com/cran/ABCExtremes,swh:1:snp:ef2c5c93a66b9eed1b089e166d7ab697da5e3493
42400,https://github.com/MLB-SE/Experiment,swh:1:snp:99c59d91ab50b6a8a27a20e800b9cfbf980b8a6a
42398,https://github.com/StonyBrookDB/iSPEED,swh:1:snp:d3541a73eb0faac712d3a403e9fe35db8501d6d0
42397,https://github.com/RPI-OPT/APriD,swh:1:snp:e64fb69e3456f4e3c2f3794edfe18172947d9437
42396,https://github.com/LuBei-design/DU-GAN,swh:1:snp:4886cff7236bf5d34c3feb9e02b4ed3d076f9892
11931,https://github.com/cran/List,swh:1:snp:2799e5f34f2132ce2d11c74860d35f977fd51903
16057,https://github.com/cran/list,swh:1:snp:2799e5f34f2132ce2d11c74860d35f977fd51903
16061,https://github.com/cran/Surrogate,swh:1:snp:5d7387aa3bb61060eb855dcd89b606746a62b0e7
16063,https://github.com/cran/curl,swh:1:snp:e1ad373e1a67f8d47a8a786c1fa6e4359b804dd5
16065,https://github.com/cran/mirtCAT,swh:1:snp:400e0052b5af4eeb5551a7e89fbdd9924457821a
16068,https://github.com/cran/Rdpack,swh:1:snp:05e0f37e9ab05a1f6117df868aeff24b45ec9f2a
16069,https://github.com/cran/vcfR,swh:1:snp:a7ee101a713a81ca2c45645418aead64006415ea
16070,https://github.com/cran/bigReg,swh:1:snp:5ac20fc96b7f8e67c7d140501cfb43d482249f71
16071,https://github.com/cran/condformat,swh:1:snp:7147a79ff65e2d02ebfc5c56c2184b64b2fff9f0
16285,https://github.com/cran/drat,swh:1:snp:3c81a42387412d13ba8a571dff0065fb110b351a
16287,https://github.com/cran/littler,swh:1:snp:ec80330d784c81603b2f33533f18d4a9aee214e9
16291,https://github.com/cran/dbscan,swh:1:snp:57ffb35a257bd5de2f8af7821f3b412b750d829f
16299,https://github.com/cran/ccdrAlgorithm,swh:1:snp:3997579913adf8261948906f50914f1bff815720
16300,https://github.com/cran/climextRemes,swh:1:snp:00574eeb76c8793ce0d978353b4f99c168ce5848
16301,https://github.com/cran/crunch,swh:1:snp:d3fd63aef059789170df532fd6baacbc840f0c65
16303,https://github.com/cran/Distance,swh:1:snp:89569d1c233e5ca73761b6cb70ed9a0c11016f68
16305,https://github.com/cran/DSsim,swh:1:snp:68cfcb2c8d06f11c54fd61e6dd8d223d0921d96e
16308,https://github.com/cran/machQA,swh:1:snp:cceec68579785280f6c062eb7595084d3ca29ebe
16309,https://github.com/cran/mrds,swh:1:snp:f7047d426409278c6220aa40d9aa1069a51126e5
16313,https://github.com/cran/SequenceAnalysis,swh:1:snp:423d0886504c21f8a26ea11d390c09a5a7dccf95
16314,https://github.com/cran/SimDesign,swh:1:snp:14500fabca67fb2c153b0ac7fc57414d1907b4f2
16328,https://github.com/cran/clustMixType,swh:1:snp:428f0ad5e6eeaebd1c11201c0b0f288b41025ddc
16329,https://github.com/cran/CVTuningCov,swh:1:snp:af3299094402c47bc38130dac8bfd27bab84fb7a
16350,https://github.com/cran/RGCCA,swh:1:snp:2f9c379fcd98ad9ea87378b903a483f09f5b366f
16366,https://github.com/windisch/BinomialEdgeIdeals,swh:1:snp:0e58cfcdf7d3738eb53a9324d5d022f4c5c5c6f4
16370,https://github.com/cran/multiplex,swh:1:snp:9400ca425cc12931ddcee3ef3a22ffeecc851cdc
16371,https://github.com/cran/spBayesSurv,swh:1:snp:087cbcd3b630b0be09fab225b6a3c87110e85075
16372,https://github.com/cran/admixturegraph,swh:1:snp:ef1582223facd979a5504f8f9ebbc89a6d05fb17
16374,https://github.com/cran/EmpiricalCalibration,swh:1:snp:73d19df46ba6f4af02e98950d547ba469405355e
16375,https://github.com/cran/growfunctions,swh:1:snp:fdb7a44bc1dc072a5574654f61a1cc4f21948d50
16376,https://github.com/cran/miscor,swh:1:snp:7e95802f7ae124437d9c31dc74f89237c899bc61
16379,https://github.com/cran/rtfbs,swh:1:snp:e0355ed4a9d799d4c5e127ea1e295c8307c50cd7
16384,https://github.com/cran/RQGIS,swh:1:snp:20bcf2c76bc87e2aabf9e769d27b3db5c5c67e75
16491,https://github.com/jonhanke/qflib,swh:1:snp:6ed86dfd15bbdb5ec08638647150c8ef08f0deb8
17625,https://github.com/JuliaOpt/MathProgBase.jl,swh:1:snp:c6144f3c88058fbd798a119c74238f2a178fc8d6
17753,https://github.com/cran/startup,swh:1:snp:83ca2164cb43fa3ecaf71efd4b89c24528e34e04
21026,https://github.com/cran/Blossom,swh:1:snp:6af5fdc81c0b72d78a63c9b5795b41613ad58d2b
21052,https://github.com/zsdonghao/tensorlayer,swh:1:snp:8e1a16c6eaf2edd1183f2426909800d8e68bfdb1
22042,https://github.com/cran/bayesmeta,swh:1:snp:d76f5d3912d23ced0ae317e26f4f949d782ee192
23840,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00089,swh:1:snp:953f4a06197ffdeed49587212430341de7056e17
24714,https://github.com/neurophysik/jitcdde,swh:1:snp:6390c329abf2ab991e60881ec4b4bd28b72745ba
24834,https://github.com/cran/BayesQTLBIC,swh:1:snp:0f55008b71ae80cc65ef523aa47ff5157192c048
25483,https://github.com/cran/fork,swh:1:snp:7b0119b19907f279d68b363a416681a6c5066abb
26792,https://github.com/spacetelescope/PyFITS,swh:1:snp:3e8ba5ab807e4b94840490d88b3bbc2996db5d7e
28730,https://github.com/ksahlin/isONclust,swh:1:snp:6ce28d3739bc88c18d9385a437cce89ea74bbc6f
29786,https://github.com/dfm/george,swh:1:snp:65a767008afebc20a7fef9024df8ea3faa95978d
30324,https://github.com/cran/gtools,swh:1:snp:bf7e8fe5a25e8175c221213aeea2a7570d7f546f
31155,https://github.com/rlgraph/rlgraph,swh:1:snp:a67a013679d24c6dc3c8f37784fedf365ba025cf
31156,https://github.com/SurrealAI/surreal,swh:1:snp:4aeeeb558f3e0d5c6b5de9d2c4b8db29131a2776
31157,https://github.com/facebookresearch/ReAgent,swh:1:snp:faa9bc4b5ea418d5129d93d07d14f024ebdf397d
31158,https://github.com/tensorforce/tensorforce,swh:1:snp:38d458fedeeaa481adf083397829cea434d020cd
31167,https://github.com/neuroconductor/mni,swh:1:snp:dad401144ece544c90bff74b81d57b15af8da8ff
31170,https://github.com/muschellij2/kirby21.t2,swh:1:snp:b7a870210f2d58265a16a481771b386de1ad83e2
31171,https://github.com/muschellij2/kirby21.flair,swh:1:snp:d911284fc607e6d2219de9543e815fcbc0c756c9
31173,https://github.com/ANTsX/ANTsRCore,swh:1:snp:605f52bb99250084e5a66c8aa4673978a3640f61
31174,https://github.com/gluon-api/gluon-api,swh:1:snp:90342779e81f6073f77db756aaabe0870d23060f
31175,https://github.com/differint/differint,swh:1:snp:162ebc51c290ab7fda2b87c8b8eb360db124bcee
31181,https://github.com/CP-Unibo/sunny-cp,swh:1:snp:a870cff48c9246fe5fdf6c4044e165f9ba56ceea
31185,https://github.com/colder/phantm,swh:1:snp:c9aa6de5f6d0c370ea57f75fe5a52dba2b5651f2
31186,https://github.com/luis-r-izquierdo/abed,swh:1:snp:7da2b78fa0982eebb23bc3cff8a05061fbe42401
31189,https://github.com/sphair/ClanLib,swh:1:snp:73764a9fef13e270d2ea6f0c378646bd3f95b33e
31192,https://github.com/MeshToolkit/MSTK,swh:1:snp:1c023e030aded109cbcef6a5005aaf72ba67b372
31200,https://github.com/risenW/datasist,swh:1:snp:70b00957afc591d8e04a83961bb2ad79c1cdfca3
31202,https://github.com/axelBarroso/Key.Net,swh:1:snp:08a77f527ed0485b057c453b0a19418b37d0df69
31203,https://github.com/lmb-freiburg/flownet2,swh:1:snp:5119d112b0eedfee143423148a09dfb7b9ced082
31205,https://github.com/nywang16/Pixel2Mesh,swh:1:snp:3473bc309ae5e67ace669cff6cfc943645e98abb
31206,https://github.com/facebookresearch/DeepSDF,swh:1:snp:edd12a677f3d7bdd91d2d77a7626c1ca51b4f991
31207,https://github.com/ranahanocka/MeshCNN,swh:1:snp:c2f13ae895aded4a9a3fc9276602c75674a74f72
31208,https://github.com/EdwardSmith1884/GEOMetrics,swh:1:snp:008a55842ff67432bbc6cac526863d9573215f34
31209,https://github.com/charlesq34/pointnet,swh:1:snp:c58d38d1ce46b96dea3ac4072d545687f6609cd2
31210,https://github.com/daerduoCarey/partnet_dataset,swh:1:snp:df074334a9f0bba4811369b7bb00c2b1aed15fb8
31211,https://github.com/ankurhanda/gvnn,swh:1:snp:1aff052f19c02f234bc58d7c39db89e842dd651a
31212,https://github.com/librosa/librosa,swh:1:snp:6a194a8cc4e3135d1ec15bcf0b187e250c072f72
31213,https://github.com/hpatches/hpatches-benchmark,swh:1:snp:4c9e408d2fef493b5d55bc938e2865e61c94dc8c
31214,https://github.com/hanxf/matchnet,swh:1:snp:525bdcc236485dc0650aa6e1d2631d0ee0724382
31218,https://github.com/vcg-uvic/lf-net-release,swh:1:snp:b494a4aa6eda02e0c71d8798fe7aee9ef76b1df6
31219,https://github.com/rpautrat/SuperPoint,swh:1:snp:ca7035f3ef018d696d1f009416dd5b5261eeaa77
31220,https://github.com/vcg-uvic/TILDE,swh:1:snp:858ab8175ad40ac3a240b73864dca17d5afb0838
31221,https://github.com/funcwj/conv-tasnet,swh:1:snp:0716a5abad251583cb7eebca6886272c786297fb
31223,https://github.com/fastai/fastai,swh:1:snp:b3d77faffcd3a30dab8276508b23238fff799a15
31225,https://github.com/jonathf/chaospy,swh:1:snp:92d11daa0c1806c2d7d1b6b689838a533184666f
31228,https://github.com/wormell/Poltergeist.jl,swh:1:snp:882b11c5cdcd90ab383205e8ff5bd5c9950f3093
31231,https://github.com/pommevilla/calc_wirt,swh:1:snp:735de3966980c0924b42e06e497aa44e1def5a43
31232,https://github.com/QuantEcon/QuantEcon.jl,swh:1:snp:b71fe620914b747749e01a7087161ebabf46658b
31233,https://github.com/JuliaPlots/Makie.jl,swh:1:snp:f8043bf9d7f6d0da08b708deccda26913363d027
31234,https://github.com/brian-j-smith/Mamba.jl,swh:1:snp:a788f14321d930b2f97a1bb5c356e6573808a5ae
31235,https://github.com/climate-machine/Oceananigans.jl,swh:1:snp:d449ff6ce79fb78ba0aa0c7843b98e2d4c254a3e
31237,https://github.com/raulmur/ORB_SLAM2,swh:1:snp:d2c25f25fe16821259af2d9c968a423c833f541e
31238,https://github.com/HKUST-Aerial-Robotics/VINS-Mono,swh:1:snp:2fee76275104e41531406b087880a3017a9b3fe4
31239,https://github.com/ethz-asl/maplab,swh:1:snp:d326319eeadb081ea2ddf8026c4bb1386df03f97
31243,https://github.com/sergioburdisso/pyss3,swh:1:snp:f81f16ae3a3ba1fef7080ee50607f8a681b63b93
31244,https://github.com/neuroconductor/ggseg,swh:1:snp:cfe78af3e7e1c1cff82c7947601654965df419e4
31245,https://github.com/pauldmccarthy/fsleyes,swh:1:snp:e38efa7861c595a8cd3d44ce453c2eba9587c066
31246,https://github.com/LCBC-UiO/ggseg3d,swh:1:snp:eb7d4e53add29b87736721745a679ae504471d14
31247,https://github.com/muschellij2/ggneuro,swh:1:snp:e8c3721b9aa2caffcb0580457669909d0cf049bc
31248,https://github.com/Haghrah/PyIT2FLS,swh:1:snp:86b83e66cc8628153b1cb41fe0af6c5003a9e5c4
31251,https://github.com/XanaduAI/thewalrus,swh:1:snp:5cc8cfce25c02f1a56810cedb1bfdfc3dc13b8af
31253,https://github.com/owlbarn/owl,swh:1:snp:e8cf4d883770c314097f359087707df2abc28a4e
31254,https://github.com/mmottl/lacaml,swh:1:snp:0f419771a0b6815c9843f571c7a5fa3656949f20
31255,https://github.com/rleonid/oml,swh:1:snp:2defd1314c07a523b59993d01ee5e83f82eace93
4493,https://github.com/cran/boa,swh:1:snp:89cd73809b363eb4e28e1ce393f711b34fe4d134
7328,https://github.com/cran/statnet,swh:1:snp:4727dd88296eeb5e206bc989261ce6807dec4b3f
9308,https://github.com/cran/DIRECT,swh:1:snp:25f29fcdd732049834ea44026b2e7d0e0b0563a3
11078,https://github.com/cran/Comp2ROC,swh:1:snp:47db5ac83dac58d8e00e1589b979464e30a46c34
13711,https://github.com/cran/fastcox,swh:1:snp:535f2a7661bfdfc733ddd6b6cf3ce8eb29c33416
14501,https://github.com/cran/CCTpack,swh:1:snp:da689021e33c1cf7c37bd5cf55626ceff177ba9c
14536,https://github.com/cran/DandEFA,swh:1:snp:37d980a3a5f091ccb79528e0ec0a1392f539f074
14547,https://github.com/cran/SAFD,swh:1:snp:9542b797766a86f6ba823ab5bc8406f279ea3924
14857,https://github.com/cran/FinCovRegularization,swh:1:snp:15d0e30d3a115fa589a8b12d2280edf37e437aac
15291,https://github.com/cran/weightr,swh:1:snp:e66651ef7d65e554bb6782b4ce5e96c7fcdba910
15364,https://github.com/cran/CpGFilter,swh:1:snp:4ee059c748cbd58e74c9397a9a5a3c9c28215aa6
15392,https://github.com/cran/HDDesign,swh:1:snp:7d7044a1d3ae5f2e87bb2d24cbf2811be147cc29
15401,https://github.com/cran/CausalGAM,swh:1:snp:f2f59f12ac3c3840ad384af5f7c5bc10b92dd168
15458,https://github.com/cran/mscstexta4r,swh:1:snp:7ad84fce7e4e489d16522bf06bbfc8eea52e1e63
15465,https://github.com/cran/abbyyR,swh:1:snp:364fca1fee47655105b003fb14ddd200eb9c1cef
15513,https://github.com/cran/cssTools,swh:1:snp:8ba2b6690f89458208f2a18a4034d75c92e713f7
15515,https://github.com/cran/DBEST,swh:1:snp:fd84ace19168b6091f14e7fb5cd35c1ec64b26ce
15607,https://github.com/cran/BACCT,swh:1:snp:e01e5690798582ab803243e237a140d2f86cba35
15744,https://github.com/cran/MLPUGS,swh:1:snp:c0b59f5bc5841a3ecd47c3436d62e4aa1aebd570
15746,https://github.com/cran/RAdwords,swh:1:snp:2d6997b104b96897ad13dc4f3cf5a784c48cdba2
15747,https://github.com/cran/RSmartlyIO,swh:1:snp:e5cc84b3510d8b877d788f7dda02b83ab6986cfa
15762,https://github.com/cran/BayesTreePrior,swh:1:snp:2efe135f88ca5692f42d44d1cf81d513841bdb8e
15777,https://github.com/cran/isingLenzMC,swh:1:snp:e65f123411ccca3529337d14697ea4b644414b18
16151,https://github.com/cran/MCI,swh:1:snp:75b1b279b6466fdea9971605250ad927357c019c
16281,https://github.com/cran/dosresmeta,swh:1:snp:f625b5d7ccc0a9f0c61b57bec5ec9c4adc838d7d
16286,https://github.com/cran/Fuzzy.p.value,swh:1:snp:793e303543ac7654238a79992ca931777fdf0170
16380,https://github.com/cran/wand,swh:1:snp:51c7d488ad8eeb4e8a5f29f34ede0bf50653805f
16382,https://github.com/cran/PanJen,swh:1:snp:da0d0400cd5248817f6008510cae4e4052acaa2e
16588,https://github.com/cran/quickReg,swh:1:snp:9643e2875d796e654bfc3d20ad8180770a470203
16696,https://github.com/cran/earthtones,swh:1:snp:047d012954a4104e3228238408b4abfe4cf80e77
17553,https://github.com/cran/macc,swh:1:snp:ec083f90f9e3d6990aca84ecb9fd041d9cde70d1
17888,https://github.com/cran/nomogramEx,swh:1:snp:7886d0a4183b4cf6295963601c4937ca95e5e7ca
17999,https://github.com/cran/EfficientMaxEigenpair,swh:1:snp:697245083de3fb912e65fe56c40bf6a5b6289a1d
18169,https://github.com/cran/Strategy,swh:1:snp:edb7fed1d7c35972f48fbe4398f17a571efbfe83
18917,https://github.com/cran/reservoir,swh:1:snp:dc20dc3f2bd6da08150e12619b54de5e965dcb34
18979,https://github.com/cran/holdem,swh:1:snp:9e6622c63925e7f6ab10f1c59c73a092e56cd993
18982,https://github.com/cran/GOplot,swh:1:snp:67bd311844653af9f4416d19b0584aba35446619
19170,https://github.com/cran/InPosition,swh:1:snp:924acfbb297e48123a1f6d3ef3ee146b12e1b32a
19269,https://github.com/cran/bspmma,swh:1:snp:edfa7c003637bb30bca715a603035f5d0fbbd591
19428,https://github.com/cran/lvnet,swh:1:snp:c3d5cd8c88fdc4c931ed4e98e67c68c2f09af05f
19534,https://github.com/cran/UPMASK,swh:1:snp:c504b682855a1680674a2b638a2d128304aa2b35
19708,https://github.com/cran/PortfolioOptim,swh:1:snp:005b67bda2c0f06873715ca9bb7b0761df2845bf
20292,https://github.com/cran/SCRSELECT,swh:1:snp:0775c00122f8ea6f294b581c433b50a8256aabcc
20531,https://github.com/cran/ClusterRankTest,swh:1:snp:04c40a5aad34d414427ef44d12043d7b5a88c6b9
20968,https://github.com/cran/sSDR,swh:1:snp:63bf2b786984ec5b55ca45ae4c8ccfde19848331
22606,https://github.com/cran/SemiMarkov,swh:1:snp:2ff7d65322accff9258add9ba3af094f94c0e0f6
23013,https://github.com/cran/mldr.datasets,swh:1:snp:3649f48c1f5f62a9017015a47c552c1966f6a86e
23408,https://github.com/cran/nparcomp,swh:1:snp:116145866e34f42082c1564f41992a2635db467d
23476,https://github.com/cran/FUNTA,swh:1:snp:d3b6d2f1269106546b678d99d4dff584ac2bbd59
23672,https://github.com/cran/CoImp,swh:1:snp:441a9818072adde74896f3bc02b3d6e058291fe5
23976,https://github.com/cran/repfdr,swh:1:snp:f2698e7591003b8ed5b9d4dba75a33d4450a757a
24246,https://github.com/cran/RapidPolygonLookup,swh:1:snp:91bdea4b31b56bbe4736bfebbf34f086df27f31a
24275,https://github.com/cran/BayesCR,swh:1:snp:2e816c61746299ab85b39b3677d08973bf032e47
24304,https://github.com/cran/simexaft,swh:1:snp:d0333d6ed7bb7fe55afa5ad15cddad942d078c21
24385,https://github.com/cran/clogitL1,swh:1:snp:42306b47aa438890f29056c615e1da3b338afb37
24619,https://github.com/cran/Deducer,swh:1:snp:414d5d9a00e4e566e435481c1ad19b68af534473
25523,https://github.com/cran/gnlm,swh:1:snp:9b2f8c54712d4477dbeae90947b0ea776e9ad604
26261,https://github.com/cran/pcdpca,swh:1:snp:a9f8e6026887262c9521aaff3667392fe4ab69e9
26338,https://github.com/cran/chopthin,swh:1:snp:623cd2065a5a693fd53cd6f82e6fb440c15dba4d
26339,https://github.com/cran/gma,swh:1:snp:8c5028cea049bdfbdb5bb91dab63cc32ad0f2335
27825,https://github.com/cran/LZeroSpikeInference,swh:1:snp:0c2293316c66c7adfa37268382319ebe76f2c642
27874,https://github.com/cran/curstatCI,swh:1:snp:4e2c818de466636af770bc313d66774ab4c32c9b
28009,https://github.com/cran/ICRanks,swh:1:snp:393ff9b5cb4bb459ea6e0519e7c331c59b86609e
28092,https://github.com/cran/revengc,swh:1:snp:24d5c3fb0a6fe7235f7ac5962a17ddd80254bbe7
29210,https://github.com/cran/BMT,swh:1:snp:cbf0f357cdc8f46ca6e6048a3b608857de3be70c
29256,https://github.com/cran/ensr,swh:1:snp:d10ac165a0e6c325ca431ebea23703a7be7afde0
29892,https://github.com/cran/MBCbook,swh:1:snp:76b189b1b24303fc49ae748f34807c5253507229
29894,https://github.com/cran/scbursts,swh:1:snp:e9fe5d4ce31436ca38368c92ff8c479d5500249a
30086,https://github.com/cran/seqtest,swh:1:snp:5bd310b3b55d31a7f6bdefaa5b3f6c9c87d8a466
30377,https://github.com/cran/waterfall,swh:1:snp:1e82c3ac31efa1ddfd74aa9a3210c74f45409352
30839,https://github.com/cran/mme,swh:1:snp:7415a547a67109bf1ce6deb959f376a94c773462
30913,https://github.com/cran/usdarnass,swh:1:snp:857710417992d5c3050d46515bd4ddade2f496f6
32124,https://github.com/cran/FMsmsnReg,swh:1:snp:057cba116652c8a0836d7f49c4a57ed402caf140
32786,https://github.com/cran/DOvalidation,swh:1:snp:c247336d29dfedc46ba85b60d3f72da576a1670a
33027,https://github.com/cran/sankey,swh:1:snp:d0f121a771a99b4a0a9c5e49a8755d098a9d8540
33583,https://github.com/cran/Information,swh:1:snp:c6f38aa97d8b8a632db81e2b5e01f28209b7eb4b
33790,https://github.com/cran/LVGP,swh:1:snp:b1e1637d14846addeef4db5781b3a9b406149b64
34712,https://github.com/cran/cvequality,swh:1:snp:c9242696ceeea4fcd4be47d2fdba6b08c796b679
35570,https://github.com/cran/imagerExtra,swh:1:snp:71ef540d378fffb8494fdc13cb119b3ac2b95325
35574,https://github.com/cran/etma,swh:1:snp:deaf8c32df19e74a2af06fbde59026c14517c1d9
35732,https://github.com/cran/MonteCarlo,swh:1:snp:8cc9c7b3b073332955ac8927ee0c48c948e02317
35800,https://github.com/cran/zic,swh:1:snp:7ec70b6fb492eb910ce266fae4e4bca05154b1d7
36482,https://github.com/cran/hermite,swh:1:snp:d0a8f5a75f95b5d1440acf1178369bfd4a1399f5
36913,https://github.com/cran/languageR,swh:1:snp:4733c665fee1186e562d13434d75bbc8cf3ee5d2
37215,https://github.com/cran/gendist,swh:1:snp:eae0122fab83d60423ea5e276f01bba49905a6e5
37229,https://github.com/cran/pcIRT,swh:1:snp:870fbaf47d4ffa08ee7d24f539f72fc3dc4697ec
37640,https://github.com/cran/TwoStepCLogit,swh:1:snp:da6b7f8a0ffb96f4364cce671eea21261553cde0
37935,https://github.com/cran/quantreg.nonpar,swh:1:snp:a046a030d986704b704b1050034ad3a93fe8d8bf
38047,https://github.com/cran/FPV,swh:1:snp:da7cb9c07821986c53d88e6428ad57b6e754bda2
39386,https://github.com/cran/PTE,swh:1:snp:87da332a78b44cc3ec508ba9ed70406fe891d7e3
39433,https://github.com/cran/ClusVis,swh:1:snp:88ea81c74878822a01bbe0e42af055fc69652a1a
40327,https://github.com/cran/DWLasso,swh:1:snp:b18b4d8bdd28696dc2a1f21de7b5945353451b46
40575,https://github.com/cran/SILGGM,swh:1:snp:832a0aa89157402edaf4873f6a3480913ca3d9a5
44534,https://github.com/cran/WWR,swh:1:snp:c75c0ea6b965f15502c5a616525b3de5a87c55fe
43757,https://github.com/cran/paramtest,swh:1:snp:231cc75ad6fb24abba50c1a481be883ab7e5c250
42285,https://github.com/cran/pGMGM,swh:1:snp:f0e97fec7dcf0318bae61e5e32ce4ae27f40d9b9
42188,https://github.com/cran/InfoTrad,swh:1:snp:6f0436102360702fecfcc9292d904d49ee043cd8
41965,https://github.com/cran/rbtt,swh:1:snp:b816c07651754558538c8445e38a7239ccba6879
40740,https://github.com/cran/fgeo,swh:1:snp:ac188230786eb4498e8b83c2b98b39218e110831
45788,https://github.com/cran/coppeCosenzaR,swh:1:snp:201bb81cc44d1dd73575ddbe273e730e959b4986
35107,https://github.com/cvondrick/ihog,swh:1:snp:34f611c27c0c8379460df65822b03f31de8c70e0
44192,https://github.com/Ulvetanna/HypoSVI,swh:1:snp:f8e5568b9f04e8703b0b5052c97d5b82f0f180df
44190,https://github.com/federicoPagnozzi/emili,swh:1:snp:cfbdc1b6fa57840c4967f0c619df1186c44e53ee
44182,https://github.com/QuantumBFS/YaoLang.jl,swh:1:snp:b448791b13b9f6db8544ef6aaa2058e4d4e58520
44180,https://github.com/QuantumBFS/YaoTensorNetwork.jl,swh:1:snp:d4e1faabcb67cd97af1ac6baa5a350766ee922b8
44174,https://github.com/PublicHealthEngland/bayesint,swh:1:snp:20f942014ba37af0c7d137af8cb992b52540fc29
44172,https://github.com/BitLooter/htmlark,swh:1:snp:98fb2c3eb1a3add489149e3bfcfeb33fc4e1d698
44170,https://github.com/gewethor/study-sandboxx,swh:1:snp:9ae07140ee5c1bddd52533d8983e7144ab5fd4ec
44166,https://github.com/statismo/statismo,swh:1:snp:20767b1b4bcb340f43dc491360028705bedb1820
44161,https://github.com/cran/robustarima,swh:1:snp:d02619ad54b154a77d60bd9d517c63a0bfb093d9
44158,https://github.com/Xiaojun-Zhu/BranchBoundforWSN,swh:1:snp:fc406873a02b513cdd92d74361ef476ce6601b88
44149,https://github.com/jpazvd/fhsae,swh:1:snp:2e44f4ec8291124addc6f5775020827584a4af5f
44147,https://github.com/nilsvu/dgpy,swh:1:snp:f6d01590cc3c01e35b84f3e2c1806b6c23954e64
44145,https://github.com/xiyanghu/OSDT,swh:1:snp:bcc90bbcc517481f59a6bdf213dd1fac4bafdd41
44137,https://github.com/arminbiere/scranfilize,swh:1:snp:90fc096d0ba1d1bd0e0ff05831db01a4f8d0696f
44132,https://github.com/lil-lab/chalet,swh:1:snp:3e76ed0aa705634d6695072d244dae85d5aab3e4
44128,https://github.com/TorchCraft/TorchCraft,swh:1:snp:ae5d0b81d391b4043ece0a33c4efdf5cab038fd1
44127,https://github.com/askforalfred/alfred,swh:1:snp:5402ea69a92d890e35480967c01433dc62e25689
44126,https://github.com/minosworld/minos,swh:1:snp:75c39742b2fe90dca587fc09c5f3e84439493c99
44124,https://github.com/xavierpuigf/virtualhome_unity,swh:1:snp:4324386ed4e6a2fb024a55cb343001fadd9e4407
44121,https://github.com/ChengshuLi/HRL4IN,swh:1:snp:e87de7e17662b4a11c2f2391883bf725423f73c1
44119,https://github.com/hyounghk/ArraMon,swh:1:snp:ab954a7424468e540be0d7b9eb71a6693ca440da
44118,https://gitlab.inria.fr/qparse/qparselib,swh:1:snp:6d56233bfe9ab37a983b9c3e226582e9b8a80ade
44116,https://github.com/XinnuoXu/AggGen,swh:1:snp:f6b034e95b24859f6bd4d6c5594edf64af5ee215
44112,https://github.com/lgaborini/bayessource,swh:1:snp:9af7091678f663b83b15a2b4a46940a3d9b5281d
44108,https://github.com/ImpulseAdventure/JPEGsnoop,swh:1:snp:1308e3c5654407b7f869b23f45e8ccc4faa9acda
44106,https://github.com/allenai/robothor-challenge,swh:1:snp:954212d70c8dae6b770e426ec5d2d3f0bd585ad4
44098,https://github.com/ciao-lang/lpdoc,swh:1:snp:37aa4c53b974a39761493184fad043bbc4b5c1d4
44095,https://github.com/illera88/Ponce,swh:1:snp:b2f5b8c5559f7f10e63aab8b00a75ec11791a2eb
44074,https://github.com/amadoudiogobarry/expectgee,swh:1:snp:973a3ae4eadf13f921bced25dcc4a860095f04a6
44073,https://github.com/jvbfreitas/geeBP,swh:1:snp:4ba9f36ca6e19eab2d313eb3ef683bf1d6f5b36a
44071,https://github.com/XiaoGuo-stat/Rclust,swh:1:snp:7e6ed01b2ed22b6ffa1b4d5f27aac4d4c84bcff6
43559,https://github.com/amadoudiogobarry/expectgee,swh:1:snp:973a3ae4eadf13f921bced25dcc4a860095f04a6
42767,https://github.com/sshaoshuai/PointRCNN,swh:1:snp:4679e653327aae8c0db18e8634a58df7be8f5f42
42765,https://github.com/Banconxuan/RTM3D,swh:1:snp:8d17267edb36704ce3062fa8595364beb3cfd811
42764,https://github.com/yangyi02/densebox,swh:1:snp:6cde2895b24bf2161e7521541d73094c275cd6c7
42755,https://github.com/daniilidis-group/monocap,swh:1:snp:5837f061d0910604889e3109798318f3511b5d06
42754,https://github.com/gulvarol/bodynet,swh:1:snp:140fb6fb5791f178581be31d690ec77915d314cf
42751,https://github.com/facebookresearch/synsin,swh:1:snp:84a6d8a37a7c2a7a275ca3cd6336209dc2065ef7
42749,https://github.com/facebookresearch/c3dpo_nrsfm,swh:1:snp:beacdb5995180bfb76e21b6099dcea3e17f5761d
42747,https://github.com/ShichenLiu/SoftRas,swh:1:snp:db48ded2da7b6cc5c8df121ca442d74a9121a361
42746,https://github.com/chrischoy/3D-R2N2,swh:1:snp:a241b9ac130c8569b67ab474b3e9415f6ac43ddf
42745,https://github.com/edwardzhou130/PolarSeg,swh:1:snp:5922f66f9480edb8c8c32b2e0072712a040589f6
42744,https://github.com/mileyan/Pseudo_Lidar_V2,swh:1:snp:4ce0dd40b596ec65ff44f01829ff682e319dc5be
42737,https://github.com/aayushbansal/Recycle-GAN,swh:1:snp:cf1b9f7f27132eb0c6ae196e280f7cd0dcec2e6a
42736,https://github.com/AbnerHqC/GaitSet,swh:1:snp:6f55c4f353a64fa4f4ea1134fd88f76a776103c3
42735,https://github.com/ChaoFan96/GaitPart,swh:1:snp:1f0234076af95d130ddb4aad5f93c7a5d3751180
42731,https://github.com/fanglinpu/JGR-P2O,swh:1:snp:409f9b1c001db510221daa30afffbd09e35fb8b4
42730,https://github.com/3huo/Hand-Pointnet,swh:1:snp:420021cf87ed45d87d266ec2bfd903add2de7d0d
42728,https://github.com/guosheng/refinenet,swh:1:snp:20730c4d4d9e09c3904ab9ff3d533fa3e3f7e187
42727,https://github.com/dongma0a/SolarGest_Modelling,swh:1:snp:386863afd5650e92d8aa00447f85459695c30c52
42726,https://github.com/mks0601/V2V-PoseNet_RELEASE,swh:1:snp:7ac727ff9392c8b85b7523dcc9d8bf23cbdac084
42725,https://github.com/mks0601/I2L-MeshNet_RELEASE,swh:1:snp:6b21b48a93c86ad6159211aa15c0a6939c4a77ac
42720,https://github.com/zhangboshen/A2J,swh:1:snp:1dde3eda191772eb211eef295424a010726f89b3
42719,https://github.com/lmb-freiburg/freihand,swh:1:snp:f31657d870c57c5c3ac5770d42ffd76b3b9d0b4a
42716,https://github.com/enriccorona/GanHand,swh:1:snp:b925e20949e9055327d2a3bcfe5577c8ccb9f386
42714,https://github.com/gabrielmittag/NISQA,swh:1:snp:625d5b79766c1c5892695bd5ccb23114d2d7ce77
42713,https://github.com/lochenchou/MOSNet,swh:1:snp:a8fc42254f44a5eaa79cd0a897b987d2fbc21f7f
42709,https://github.com/swarnaHub/multiPRover,swh:1:snp:7e7056d4cf8e6ab85847ebcaefa14e9aace950b4
42708,https://github.com/allenai/ruletaker,swh:1:snp:82256ea3f6a2b49b9a38cdd66ac362fbf29dc3f8
42707,https://github.com/JmfanBU/ReachNNStar,swh:1:snp:12615e8be37a8392ed47cf4716cd3dc817264bbc
42706,https://github.com/nasa/Kodiak,swh:1:snp:4060ba7a0522a325a9c88da58a226ae3b4b773d1
42705,https://github.com/Tarheel-Formal-Methods/kaa,swh:1:snp:4435f0d6e62573cd84f34d8b055dd5c935e08e9a
42702,https://github.com/ZhaoyangLyu/POPQORN,swh:1:snp:0c365989e220d42a1bbd756011b8039d01bad837
42694,https://github.com/adri-romsor/FitNets,swh:1:snp:c463bdd96c60beef43d947c10026fcd98c4cbf3d
41584,https://github.com/agra-uni-bremen/metaSMT,swh:1:snp:62065f38b3e86b623e21ae47715b8d9e7fae84f8
41579,https://github.com/marseidl/qbffam,swh:1:snp:dbf345a8bfc524e94ca7543bf6708ed2ed0f145b
41576,https://github.com/josejimenezluna/pyGPGO,swh:1:snp:350d6511d5463fb10570baa3e3e0b4c12e25fd9a
41562,https://github.com/fanyun-sun/graph-classification,swh:1:snp:17954562986e3b842d4ed0c7a48f05cdb40304a9
41441,https://github.com/SBRG/MASSpy,swh:1:snp:6a2d07a996126c6286d3b014a5c0e8d079d41830
41436,https://github.com/Michalychforever/AsPy,swh:1:snp:ef4516c6d789367b3db60f89f99195a7f2a9b546
41431,https://github.com/cran/TTmoment,swh:1:snp:39ed86704e06f98ecf9b1ccd0505f856bd0f86b5
41425,https://github.com/lacus2009/RaptorX-Angle,swh:1:snp:2d3316a9f1fd85e516bfd951396da4bd2ea833f8
41421,https://github.com/ptouloupou/epiPOMS,swh:1:snp:8d2eefbab286962037799ea900975072eea55745
41420,https://github.com/cran/MHMM,swh:1:snp:fa540e8ebc50c0fe6bbba89ad08cc224c66ee62a
41417,https://github.com/azlawson/PersistenceCurves,swh:1:snp:10df7d10f94495812a4241a86055c28e00607d15
41413,https://github.com/mahmoodlab/PathomicFusion,swh:1:snp:a01d62c1ffca0a0543290b0923f1a19bdd1ecff5
41412,https://github.com/idc9/py_jive,swh:1:snp:503ceb802ca6aec29a684fad447c819d11429006
41411,https://github.com/mutpy/mutpy,swh:1:snp:b1bdbebd5ac1222187ea5655bf0c5975b96c3b20
41406,https://github.com/bwalker1/ModularityBP_Cpp,swh:1:snp:d09939bed71f29b93d0b12294eaeb6fab20211b9
41395,https://github.com/cran/sprsmdl,swh:1:snp:f306d09eb1b9e18d38260f4fb7727757f40e5b2d
41392,https://github.com/SebastiaanHoppner/robROSE,swh:1:snp:73783c35bfe4bd55951d06b42aa4beaac1121794
41383,https://github.com/ralphabb/BoxE,swh:1:snp:9ecfdaecfd116ab658ddd6b0cb45a7bec7d0a1e2
41378,https://github.com/lijiannuist/Vote3Deep_lidar,swh:1:snp:381e982941450529bbda7aa08036ca2026628288
41376,https://github.com/cschenck/SmoothParticleNets,swh:1:snp:fd51ada1231f34ac0b56cdd770323d1c48d502ff
41372,https://github.com/thengl/GeoMLA,swh:1:snp:37c05fb6db426172bf2636b8c3af50bf462719a8
41343,https://github.com/tobitproject/tobitdiag,swh:1:snp:cfef711489f11bbb77da0b858c697b06d91a9043
41333,https://github.com/cran/listdtr,swh:1:snp:19dbe71a6387771a07a7f69df7eb4bab3ff051de
41327,https://github.com/SRKH/S4NN,swh:1:snp:7c6a414b3d1975093ed7faeaece707e7ba991bf7
41325,https://github.com/DLR-SR/AdvancedNoise,swh:1:snp:cb8a5b9f6a256559ee3de030a09607edb1f294e8
41324,https://github.com/himelmallick/Gooogle,swh:1:snp:5e5898e3194aa103cc79e0786bf2f01a821bb763
41317,https://github.com/QiZhangStat/TGCnA,swh:1:snp:f84a46cd183dbe4b87747ec1db4f1e09a3bdbe69
41316,https://github.com/merolagio/LSSPCA,swh:1:snp:c9edd8159ccf6ea276b1f0ae695619172794daeb
41315,https://github.com/cran/intePareto,swh:1:snp:c7e73a33c0169dcb90fad6010e561db53217f304
41312,https://github.com/stephane-caron/pypoman,swh:1:snp:46e440ebff844b422893fa872201abf77d35bc0f
41307,https://github.com/cran/rcv,swh:1:snp:31502abb293d88bb8d32b2b0e5efc4e364d8a7e8
41295,https://github.com/cran/OutlierDetection,swh:1:snp:ad03888f04df71c6ab04b4c9d4db981218f4ed77
41291,https://github.com/KlugerLab/oocPCA,swh:1:snp:f7e12b3de291b69827555d61c90f5f6d6bdc00b1
41289,https://github.com/AdelaideAuto-IDLab/Februus,swh:1:snp:a0870405a7e79c63a12a6ad64e75186c1d1e0761
40670,https://github.com/cvondrick/ihog,swh:1:snp:34f611c27c0c8379460df65822b03f31de8c70e0
43039,https://github.com/ygzwqzd/lamda-ssl,swh:1:snp:346e4286e70dfb7e17927041cf57e8c51958f5cf
43038,https://github.com/IFCA/frouros,swh:1:snp:953e88d590e5c947bdf31117ae70ff7d1b85a82f
43037,https://github.com/ifca/pycanon,swh:1:snp:8d8ea3db805bb78025a575f1be31309cf5e454e8
43029,https://github.com/alvaromc317/asgl,swh:1:snp:bf0c70d7110ca051eaf6e64ccea743c369c95665
43022,https://github.com/patscott/ddcalc,swh:1:snp:cfa9889935e9ff6eb5c325d789434251e4ae34ad
43016,https://github.com/automl/SMAC3/,swh:1:snp:22267a2211ad43c850dc734b0fee762c93994c96
43007,https://github.com/jirehhuang/phsl,swh:1:snp:208aea5ede97f346968c0699c9ffd8ebed139fe4
43000,https://github.com/bcm-uga/lfmm/,swh:1:snp:18fe9e8cee4840bf9b64a76705e3c5e101b207a5
42999,https://github.com/davenza/PyBNesian,swh:1:snp:ad7d220ec875549c5a1fa5d5b65d1eb9c5748726
42984,https://github.com/mamintoosi/Eigenbackground-Revisited,swh:1:snp:fa9a7b0f0f4c339610ee6675d1e640661fdb6a9d
42981,https://github.com/ros/actionlib/,swh:1:snp:bddee53b77fe09764ed1bd391db00ab192d6ea3c
42972,https://github.com/sandialabs/tines,swh:1:snp:cf40ffded3108c1623e6432d9c3c303f8129f59a
42958,https://github.com/huawei-noah/hebo,swh:1:snp:fc979d95420a8a4e5eae0042e1a0783313a5fa0e
42955,https://github.com/daanhb/IntegralEquations2D.jl,swh:1:snp:af71626f7fe363170a94c185a0a73ed6ed832a8c
42944,https://github.com/GeoBosh/mixAR,swh:1:snp:19acc4cd129c3eec1121a6058a51564abb6fe038
42935,https://github.com/OpenDrift/opendrift/,swh:1:snp:762b8a72864836c8af596ae1e44eecfe5da222b3
42927,https://github.com/gabriel-skantze/CoLLIE,swh:1:snp:98ea945b1b80f9f5cd5a3bfb665a3bb475d265d3
42926,https://github.com/Thijsvanede/DeepLog,swh:1:snp:a812411cad442efb983497644e3f6270a4afbf25
42919,https://github.com/Como-DTC-Collaboration/como-models,swh:1:snp:ebdbed59c19ecd7dffebb9486d8ef02f2dfded69
42911,https://github.com/diegovalsesia/speckle2void,swh:1:snp:8ed503431229b4fe0bdc95643f010c23fab63405
42901,https://bitbucket.org/paulpei/resgcn/src/master/,swh:1:snp:35067ca79262c0e81c4551d1f0c0f6db868ac8fa
42891,https://gitlab.lrde.epita.fr/spot/go2pins,swh:1:snp:b25d360834b9a0d19a92ffa5495fba8b96377ce9
42885,https://github.com/amoradinejad/limHaloPT,swh:1:snp:a5e180f209db21e93d5dbe285d802fa2f68bedc6
42876,https://github.com/RJauslin/StratifiedSampling,swh:1:snp:e98813bcea051608fd1c662bbfcb3426170426e4
42866,https://github.com/blackjax-devs/blackjax/,swh:1:snp:3adb3f9ff10f2f8c5f0b2731fabbcecc1c1cf122
42865,https://github.com/thomaspinder/GPJax,swh:1:snp:5fc401ccde01282bec340f9b78f1fdc4b1989b00
42862,https://github.com/ronshnapp/MyPTV/,swh:1:snp:168a8f392a4f9831bb1ac4fd5f62a162b32b2ae9
42855,https://github.com/cmu-phil/causal-learn,swh:1:snp:1c13d5e1b8225f34fe8d6baefcd9feddda999abe
42799,https://github.com/lorenzocapp/adapref,swh:1:snp:2cbcf832c5339e51bfdda5bae56970eda24e6fe2
42787,https://github.com/ec-kity/ec-kity/,swh:1:snp:0557daa9d4c9a298ca0f745f0996c326e040b65c
42786,https://github.com/w4k2/problexity,swh:1:snp:91d93b95d1623258077ae4d76a0caff0f92259cf
42766,https://github.com/mrnabati/CenterFusion,swh:1:snp:1a596bb74c4b9d5ac0ed0e01fb2c9c73964a2989
42752,https://github.com/hongsukchoi/Pose2Mesh_RELEASE,swh:1:snp:4a8bf2b4750b41fb0799bd662a5e9d4ae8da59ff
42743,https://github.com/WangYueFt/detr3d,swh:1:snp:0c65f4dab19c18371a866993d486e765873ebf68
42741,https://github.com/zhiqi-li/BEVFormer,swh:1:snp:fc1450815df0aff65f81a05b59977da6c14cd910
42740,https://github.com/Tsinghua-MARS-Lab/HDMapNet,swh:1:snp:7d79ec7fe76f69c3813152732c33b5841f41980a
42738,https://github.com/autonomousvision/neat,swh:1:snp:afe8e99369968e42329c174dadbd3c5cc75bca11
42734,https://github.com/tteepe/GaitGraph,swh:1:snp:5a26579e37474e4dcb528157f7f907ae14c74a73
42733,https://github.com/microsoft/StyleSwin,swh:1:snp:01efc77a7555970f697a24728e4da16a3f0846a5
42732,https://github.com/microsoft/MeshTransformer,swh:1:snp:d87a99925ee92eb604d6a11dff298bf938a815f9
42723,https://github.com/r00tman/EventHands,swh:1:snp:aae1baacfe03b944042a14dfd0ccba089b895f33
42722,https://github.com/otaheri/GRAB,swh:1:snp:f173cf099cbbedf4fcca7d5cfbd689b0fa38d489
42697,https://github.com/SawanKumar28/nile,swh:1:snp:078ac6bfec82cbcc5e51d6eeb31934bfa7a9c3c1
42696,https://github.com/mechanicalsea/lighthubert,swh:1:snp:1b2564bd5e78c42a981d05fc235130d2bcc4f3e1
42692,https://github.com/Droliven/MSRGCN,swh:1:snp:55f611874f0961cbb7b28fe6719f2167078ca8a8
42691,https://github.com/hugozylberajch/HILDIF,swh:1:snp:f00a3872a868e241d67f868904ac07a7fe3fc33f
42690,https://github.com/BangLiu/QANet-PyTorch,swh:1:snp:aa892ddb9c3a03a0ab95ab6c206afda75598fae1
42689,https://github.com/PaddlePaddle/ERNIE,swh:1:snp:5dbd31cee62bd6bde50e51506e4a66fe9cca79f9
42686,https://github.com/eric11eca/NeuralLog,swh:1:snp:e272deba766890dbade7236d555994f395b205ab
42685,https://github.com/bgs25/OrderRegression,swh:1:snp:e54ca17b0c5efbd9b5c35b2b4e2ea3874bafb469
42684,https://github.com/tansey/functionalmf,swh:1:snp:fc59799aa45d781613e54a7e3d78d02058d60199
42682,https://github.com/abichat/zazou,swh:1:snp:74f37d8cc63a52d6355cc52131603185ecd02cb3
42681,https://github.com/cran/GRPtests,swh:1:snp:3f4d28c31ee870566c498efdb04fe9887cb5e56f
42677,https://github.com/xcelerit/XAD,swh:1:snp:ecf34c508846992a4a7b1f638f62793868abb768
42674,https://github.com/trinhtuanvubk/KWS-based-ASR,swh:1:snp:b36804f5fc5ea336b23f22f222b51462774c0f82
42673,https://github.com/Kyubyong/g2p,swh:1:snp:303b77c04bd7aa301619666851dee0ca0255009f
42671,https://github.com/JiawangBian/GMS-Feature-Matcher,swh:1:snp:6261f625d39dec4953a9f2c70f859a9c0ef48118
42670,https://github.com/zhengqili/MegaDepth,swh:1:snp:9e0c3c1da5eda427e228ec7292ad938607e99fac
42668,https://github.com/lzx551402/contextdesc,swh:1:snp:9f26b44bad66c740b2431e1e5918ec6471108e25
42553,https://github.com/isi-vista/BusterNet,swh:1:snp:e491c8541e114708798267f2502d33e258c72b96
42552,https://github.com/EndlessSora/DeeperForensics-1.0,swh:1:snp:e9b4510e340ec319ad7b3205131194617df852e9
42547,https://github.com/polimi-ispl/icpr2020dfdc,swh:1:snp:cf63fa6b4c003d342cb0945d77810324c9820a15
42545,https://github.com/DariusAf/MesoNet,swh:1:snp:f6972d85b25a62bc46c35f46346e164d03a03eb7
42389,https://github.com/ShufeiGe/Online-Bayesian-learning-for-MMSRm,swh:1:snp:a727fb364c3ad2ce3f9ed91ae2e1b7851dddbbc2
42388,https://github.com/tansey/hrt,swh:1:snp:e948adbd36c60ecb50f4be74e5175f2cf6f3dc2d
42377,https://github.com/BiomathematicsAndStatisticsScotland/TetraploidSNPMap,swh:1:snp:307699946e24f026b76979b6b6247b1d0c5b3677
42370,https://github.com/rhombicosi/IDOL,swh:1:snp:2a488064783ee732b9e4a18e0e11d7e1b3e27989
42368,https://github.com/j-chacon/decisi-o-rama,swh:1:snp:f6141d884c18bce4ab870143bfe727c6492835bf
42361,https://github.com/tsigalko18/apogen,swh:1:snp:265b2330c14290f3dcd09f97abe6fa2ac5a0661a
42360,https://github.com/dynodroid/dynodroid,swh:1:snp:b116c0dffd74db2678e2c4610cef9e8b6ac00804
42344,https://github.com/CSAILVision/gandissect,swh:1:snp:a783c439008c9bf45f968763e6840c6a5a0fa001
42336,https://github.com/IAIK/rowhammerjs,swh:1:snp:e50cdf6e0ff331f50835c7b416f4daa55822d087
42335,https://github.com/Remote-HWA/SideLine_Zynq,swh:1:snp:6a0ac57e9e009cf1331227dacd1a93790e0b778b
42334,https://github.com/mflowgen/freepdk-45nm,swh:1:snp:c51d9b62820b06797240332b786c40a82ddeae5b
42333,https://github.com/abautu/plagzap,swh:1:snp:f6620a4bcb9a0ee25f9de503c62246391c407ca1
42327,https://github.com/clisztian/iMetrica,swh:1:snp:5351120b295bc28557e167e7d47dae88c44afdd1
42325,https://github.com/CatherineLiang/Cryptanalysis-of-DryGASCON,swh:1:snp:803e7a9889224095fdb329c8a56026f8bb28088a
42324,https://github.com/umairbinwaheed/PINNeikonal,swh:1:snp:910bf470b18423d948774056406cf82261772fb7
42318,https://github.com/ZichenMiao/RotDCF,swh:1:snp:b136d5256606145e07535b72611d902850a236a2
42317,https://github.com/dmarcosg/RotEqNet,swh:1:snp:8607de149a93b193483cb68b7ad81167cbafa768
42315,https://github.com/Hua-Zhou/ConstrainedLasso.jl,swh:1:snp:d6febc85e8fb379f4dc9647667d692ded2b0fc8d
42313,https://github.com/Hua-Zhou/SparseReg,swh:1:snp:a5ead19fd49d804dad0e529b1144be7bb5e964d2
42312,https://github.com/cran/RMCriteria,swh:1:snp:182531a504c1a451e364cacaadaa5e5e3d38521d
42309,https://github.com/librallu/dogs,swh:1:snp:03faf7c453ad5d4e975ae1217a8ede7f956e0205
42305,https://github.com/LiJunnan1992/DivideMix,swh:1:snp:a3a57c52c32d38fe1784256850547ba63674b306
42304,https://github.com/google/mentornet,swh:1:snp:6deae064090babcfc8ca4efc8f280ac11403d569
42303,https://github.com/lilylisy/mlj21DALC,swh:1:snp:87b6658adb5b575418cab546cecec722efe0ff5e
42302,https://github.com/barbagroup/fmm-bem-relaxed,swh:1:snp:0a80ab36eb61081df20613050975d41b51e6a697
42301,https://github.com/JuliaMatrices/MatrixDepot.jl,swh:1:snp:f89e3ec60e546f60bea62cc3b5bb5dae365883a6
42295,https://github.com/cran/orQA,swh:1:snp:9424fee11204cd513d5ce77958b1fd7ff27d3885
42294,https://github.com/maxdan94/pava,swh:1:snp:9a0691a196b93cd26ee7a2d4bb40d79b9f169bfd
42275,https://github.com/jbrea/BayesianOptimization.jl,swh:1:snp:df23a7b53e70f8d5e562a05805ea9c901fc57f12
42274,https://github.com/STOR-i/GaussianProcesses.jl,swh:1:snp:2a958bc755d762aa1c93b01ad63a9b1a220464c6
42273,https://github.com/arifusta/DBTagger,swh:1:snp:90f2aef11a29b374a069efc30c4a168977f58320
42269,https://github.com/OhadRubin/SmBop,swh:1:snp:b8ba50335f1173fbe76384637e93827262d89859
42265,https://github.com/dmis-lab/biobert,swh:1:snp:94ebc98ac19ae2945bde4eb9b80824f8b2e18eb1
42264,https://github.com/semql/semql,swh:1:snp:5c4ee43c61054ddf22e735e7a9f9731d74b2eaaf
42259,https://github.com/umich-dbgroup/duoquest,swh:1:snp:6fea225cb084d93700739917b6d7b390352936ce
42255,https://github.com/taoyds/typesql,swh:1:snp:6cd44a304c43a30a8803c3078d06c139547f5924
42254,https://github.com/microsoft/SCoRE,swh:1:snp:14c784cb8a538e5dda6383eeb32af550cc113b07
14401,https://github.com/cran/fdakma,swh:1:snp:306580dab9c443fb2b6a317eb8cd80b0eb8f11b1
14404,https://github.com/cran/marked,swh:1:snp:c3c8a25f72bc794de6497d6c7569324c2adb1880
14405,https://github.com/cran/unmarked,swh:1:snp:b297c101b3d7ed38b94869c092371e9f5b42bc0d
14425,https://github.com/mstorath/Pottslab,swh:1:snp:396ad68ef0db4258307a19bf075c881f1a9a3928
14439,https://github.com/SmartDataAnalytics/DL-Learner,swh:1:snp:e154decfeb0318cf38ce88e0db311a96090cfa63
14460,https://github.com/python/cpython,swh:1:snp:b0cf6b209797102e8e64f56749f6d3f7294a9c48
14462,https://github.com/cran/dvfBm,swh:1:snp:e95785f97e5a32cccadd94195608f78737107e9b
14464,https://github.com/cran/reglogit,swh:1:snp:60f217e1de92432dc0669fe41c0c33b2dde9eef6
14466,https://github.com/cran/bayesDem,swh:1:snp:a989f3c519dfb105a74a5b996377450daf558638
14469,https://github.com/cran/bayesTFR,swh:1:snp:03f69f3690c99fa028cbacd881dfc52382d70410
14498,https://github.com/cran/ranger,swh:1:snp:e8769b32017b7d632d792938a41d13dc81903d5b
14499,https://github.com/cran/copula,swh:1:snp:cc52b44115ec7f9159e56453f29a57ac3dbd7788
14510,https://github.com/duncantl/Rllvm,swh:1:snp:73624dc2a4039cd2e5015df37fd29cd502f21a04
14511,https://github.com/duncantl/RLLVMCompile,swh:1:snp:2b98a04f1f7e71f973a281b40457f5730e38f284
14531,https://github.com/cran/uplift,swh:1:snp:5b31835ba3696e4e8993ff0df485a12934ded08c
14532,https://github.com/cran/qgraph,swh:1:snp:f3e08ad0b51efb34c320501724045762674db722
14533,https://github.com/cran/GPArotation,swh:1:snp:3cacef0f575ac6770df14b995a9b861fd8302352
14540,https://github.com/cran/SDD,swh:1:snp:c22c74d48c8bd428f360a83ff993e03c0e73fa13
14541,https://github.com/cran/DBKGrad,swh:1:snp:542a7da7cf7ae7bb05a58b63cbae9704ed4dc759
14935,https://github.com/cran/SOMbrero,swh:1:snp:c809d67b61c8bd473f06090750dbcc021ed5b8a3
14977,https://github.com/bdhingra/tweet2vec,swh:1:snp:0101810c79768f6435524b61d8c0c6bd058155bb
14980,https://github.com/cran/RcppMLPACK,swh:1:snp:155e6835e330f268e15446eb64a82426f9accf11
15029,https://github.com/glipari/forts,swh:1:snp:0519c0980c9b419dd7e9c6e7db45ddb2b8b06ed0
15059,https://github.com/parkmh/MATAMG,swh:1:snp:4834712d57bbcbf9c8f07a554a75aaf965071224
15062,https://github.com/minstone/HARRISON-Dataset,swh:1:snp:45a8688c3fba8d783a73c2afb9ec0ffd58c8823d
15076,https://github.com/maerztom/inpaintBCT,swh:1:snp:9267f13d24636a26337a48adcb75a502b76d115d
15084,https://github.com/OpenRCE/sulley,swh:1:snp:e98c58854e8045dbdc7f54891304e1162d1742b8
15088,https://github.com/coseal/aslib-r,swh:1:snp:f7833aa6d9750f00c6955bade2b8dba6b452c9e1
15102,https://github.com/skystar0227/CUMP,swh:1:snp:58dabf9c7764f00066218b3900751b46fc4ba0bf
15106,https://github.com/ash-aldujaili/BMOBench,swh:1:snp:b8191f6747935a68609dc093860dc6c1dc2f4e4c
15118,https://github.com/cran/sommer,swh:1:snp:eadbe9bd69dd903c0e268e457dd0f55b98e5c990
15119,https://github.com/cran/kinn,swh:1:snp:ae376f6f9721b01cd2f22ef7e8eee7a20ad3c3c9
15121,https://github.com/cran/photobiology,swh:1:snp:9a052ed158589c91a14700760aeacbbad8d5669c
15131,https://github.com/cran/PredictTestbench,swh:1:snp:745a20e29093128445644bdf825d1af3c5e1d6a7
15134,https://github.com/cran/TransferEntropy,swh:1:snp:17ffe5c2ec7f2f1f617313df43c3e3df82f274e8
15140,https://github.com/UniMath/UniMath,swh:1:snp:8883561832e1cfb3f6d6aec3e31fd379b55fa402
15144,https://github.com/cran/CHNOSZ,swh:1:snp:4dd571818bdcb20a60158971216c22c08a6100e5
15147,https://github.com/HoTT/HoTT,swh:1:snp:cae143d6894ebd0675a583e4029ce3719a507870
15148,https://github.com/leanprover/lean,swh:1:snp:3a8c048eb7d5b6da9d4dd50402e45aa444405035
15155,https://github.com/miguelmarco/sirocco,swh:1:snp:a3d92169212f02384c85a467abcb11672b894ade
15169,https://github.com/uoguelph-mlrg/Theano-MPI,swh:1:snp:be6345fb0e509bacd141a6ffea9fb8d1205a2266
15180,https://github.com/cran/GLDreg,swh:1:snp:6103a648fc7cc12422dff6b6684a5615ff8d6576
15181,https://github.com/cran/VTrack,swh:1:snp:f9b58735e63ac9d5140e44dcd960f7766832787e
15182,https://github.com/cran/autovarCore,swh:1:snp:a266cee3189d876c8cdb192af2466c5bfa7280df
15184,https://github.com/cran/TDAmapper,swh:1:snp:5f1869e39ef2f4bc9f4befec1334e6d846151ded
15185,https://github.com/cran/freeknotsplines,swh:1:snp:fcaa0d6120877488ecd12abe66bd9d65c7318a1a
15187,https://github.com/cran/muma,swh:1:snp:083b099f049224cb6feeac7acabda0d7660117ad
15201,https://github.com/wbhart/antic,swh:1:snp:b7d1b1eedd989cf10af582f229255013fe08e22f
15210,https://github.com/TUDelftNAS/SDN-OpenFlowBackupRules,swh:1:snp:658a415f114f1a431bbf31083bf129c2e00b0bf5
15216,https://github.com/cran/nmfgpu4R,swh:1:snp:d8db65b9abdaaa82c73cbbbfea663235ddb9c380
15217,https://github.com/cran/evclust,swh:1:snp:b798e156a769c819f0db5b4f261c85517a523408
15218,https://github.com/cran/preprosim,swh:1:snp:a8271ef7a5729619fe07c881818b5ac7d2fe26d9
15220,https://github.com/cran/QFASA,swh:1:snp:b8b118b8f513d3b0306549b28efe67912c355b3e
15221,https://github.com/cran/Haplin,swh:1:snp:5cb755b2e60c9cf5b1dd5e4d7874130062894879
15223,https://github.com/regeirk/pycwt,swh:1:snp:5e060b442aa588fcd2d026cb3c62b4b977d9dd1a
15235,https://github.com/cran/NonpModelCheck,swh:1:snp:144bc7a51df3a594064f67b0c908e26fff1c3f22
15236,https://github.com/cran/agricolae,swh:1:snp:ce3f3d72fb7876cf511f9da383cf61fd1135f426
15242,https://github.com/ehkropf/SKPrime,swh:1:snp:4fe71f9d63777e2e508988dc758362386b051be0
15269,https://github.com/cran/CMplot,swh:1:snp:c43aaf45a2b19493091b8a6521d38db9ee8a20ff
15271,https://github.com/cran/BIFIEsurvey,swh:1:snp:63e161d233786477bd6db1d1eb4b069b163e0585
15273,https://github.com/cran/FDGcopulas,swh:1:snp:1cfc480bb9418695b34ea61051be3844a6765d70
15274,https://github.com/cran/multispatialCCM,swh:1:snp:21f18551766561110786b49d5be6c97d9fedbdda
15276,https://github.com/cran/generalCorr,swh:1:snp:941c6ba7382e7cdda0bee95dfd344c2763f46a8f
15280,https://github.com/cran/GGIR,swh:1:snp:dbb27a924857f2ffdb163dd7461b05d2029d6454
15287,https://github.com/cran/RtutoR,swh:1:snp:29639ab08612c60aee7ef67681b01f26cc710697
15288,https://github.com/cran/CARBayes,swh:1:snp:1af0477f185586af6d2b10798b333b0c2ad78adc
15303,https://github.com/google-research/deeplab2,swh:1:snp:f039b24291e2335b95fd88b691cf27f410049ba3
15305,https://github.com/cran/APSIM,swh:1:snp:058d233c5c42dad7a662254e7f84eb59c58a721f
31672,https://github.com/cseed/knotkit,swh:1:snp:8ac76ecf9d0f7f9655316eb7fd87ccc4d4c55e27
31691,https://github.com/dkrashen/RelBrauer,swh:1:snp:5987901d7705bd129a3492784ee069f359e12d4e
31702,https://github.com/cran/trioGxE,swh:1:snp:a9751de546477416d82a371965321e0694a2b87d
31717,https://github.com/negrinho/deep_architect,swh:1:snp:48cfca822b5152100590ce2c26a1a68ffc2f4e5e
31718,https://github.com/stardica/KnightSim,swh:1:snp:21b1d9525ce5baf309a7b56f3f4f12a3c89df7f3
31720,https://github.com/giampaolo/pyftpdlib,swh:1:snp:2a5e41b4a520611b84ec85f28fe6520b052b5398
31721,https://github.com/tum-i22/vot4cs,swh:1:snp:87c440ab33a5f2241aeb65be4681f7a9465b5e76
31725,https://github.com/rwfpl/rewolf-x86-virtualizer,swh:1:snp:2107a93920997d5e127b32da02392be1990fb64a
31731,https://github.com/robinryder/calibration,swh:1:snp:cd3a7c14faba9d2c07a22c4a8f812b86e46d5fc7
31733,https://github.com/cran/EMVS,swh:1:snp:b19649afc9e593cb259cb929af2fbfd2f70467c9
31737,https://github.com/CliffordLai/eqc,swh:1:snp:860e83e2ded3c2b018341956244038a74b2e9f41
31739,https://github.com/cran/glmmTMB,swh:1:snp:600501cc80a8d4b8c253dbced9233131dcee5863
31740,https://github.com/cran/graphicalVAR,swh:1:snp:9d71d524f3f98b6820bf7864b20870c1d9d25774
31741,https://github.com/JoseAngelMartinB/ODEm,swh:1:snp:c8d5488ab47676a90030985a92734c8ee6dddd63
31742,https://github.com/evorontsova/ACDF,swh:1:snp:086995f129506f7682f221da2bb5c75dc73f8673
31745,https://github.com/shizuo-kaji/Maple-flag-cohomology,swh:1:snp:6dc5857ad4b1cbbeca129d381eea084fe51288c5
31746,https://github.com/sampotter/olim,swh:1:snp:c6892d4212f823024ee1098121c1391dbf28534a
31747,https://github.com/haozhg/odmd,swh:1:snp:e4e2c2fbbc6c84f004c8dc15af43afabbb49435f
31750,https://github.com/mitchjrpi/LPCCbnc,swh:1:snp:06fc1c7fcefa5da8a7e97dc0a83e0bec1549c5ac
31758,https://github.com/iSoron/onerow,swh:1:snp:1f794a78bb1a7771e8f72def2e2745c60b0dc006
31760,https://github.com/cran/GpGp,swh:1:snp:17732b10b48522289ee48ffa990470e0ea521c80
31861,https://github.com/ewels/MultiQC,swh:1:snp:3a30099b125bdc8fb4ec8ee5ffd4f1d583f3b0ef
31862,https://github.com/ratschlab/palmapper,swh:1:snp:934cf222853302e87a6da40318cb971989c785c4
31863,https://github.com/genome/somatic-sniper,swh:1:snp:2c53bfcab1166a06538f1904b0af102e12544805
31870,https://github.com/Robin-X/RobinX,swh:1:snp:2dee772ed8d28c5ef28ca70235edc23e627b3175
31900,https://github.com/odow/DynamicProgramming.jl,swh:1:snp:dbd94048bec16ff37d4e23d3ccb555c1089a1a3d
31901,https://github.com/jsta/nlmpy,swh:1:snp:fc0dd0c106c81073efd48987a5f3da0a6ff80f9f
31902,https://github.com/JustMaths/AxialAlgebras,swh:1:snp:cbda461c61ebede73c2b057855e610fb8041fa2f
31934,https://github.com/wojdyr/fityk,swh:1:snp:44c41461333434ad66d37f9a5f654474c3a26826
31936,https://github.com/Artelnics/OpenNN,swh:1:snp:1a9f37be6a3e2ac7babddb0444e86a626edbb5c1
32072,https://github.com/rasmusbergpalm/DeepLearnToolbox,swh:1:snp:95beb1f5d871a41194596399017d38cf551b962e
33023,https://github.com/sampotter/olim,swh:1:snp:c6892d4212f823024ee1098121c1391dbf28534a
12193,https://github.com/cran/SimultAnR,swh:1:snp:a43584cf2befefb2e17766e6bca191eba168f347
12200,https://github.com/cran/AcceptanceSampling,swh:1:snp:bc01e42a61dbec1114b1b1180ea62bd20ff2d07b
12203,https://github.com/cran/AMORE,swh:1:snp:65e0524c24ad7d665817645dc5249630b617f2a9
12205,https://github.com/cran/qualityTools,swh:1:snp:b17169b73dd92e86380e759dd228c1d79ecc3203
12209,https://github.com/cran/Sleuth2,swh:1:snp:bae13d3bfb13bd1ba733994969cd1f119fcc3b8f
12210,https://github.com/cran/Sleuth3,swh:1:snp:84d273a024b7e5d2e5e315aa509e1061dd64abee
12232,https://github.com/dcodecasa/CTBNCToolkit,swh:1:snp:fb83139e885936678ee5b06cac8b2514659f32ea
12247,https://github.com/headmyshoulder/odeint-v2,swh:1:snp:b9e40fd09a0b7a30a5e5c1d0ecbdf89f1d7f6dc0
12256,https://github.com/cran/sm,swh:1:snp:ac94984211398e747a3311da1778fa3fa2a48ea4
12259,https://github.com/cran/SMFI5,swh:1:snp:46e15bfbc776937c57fd27c2f47518f6ab6e2c3f
12260,https://github.com/cran/smfsb,swh:1:snp:994d0b993cfa10a7ed608f5130c153b3cf7ced74
12261,https://github.com/cran/SMIR,swh:1:snp:125374f14589911af23f33c84ea9da5cc4828c13
12262,https://github.com/cran/SMPracticals,swh:1:snp:ea9b07b36c06e9f98356a6f2dccfe7c39a8a655c
12264,https://github.com/cran/SPA3G,swh:1:snp:a28c4f7c0e84425bdcf4f0d4767df42c47423639
12268,https://github.com/cran/spatialsegregation,swh:1:snp:95d8703deb11785babb70dc8766fa10eec08c52c
12269,https://github.com/cran/SpatioTemporal,swh:1:snp:41857dce535b45735c3711786b0294d5b8951f69
12278,https://github.com/cran/spgrass6,swh:1:snp:540937b4e967c3787416097b00e6ad34218a3c56
12280,https://github.com/cran/spsurvey,swh:1:snp:aa579c7b5306152b9629bf195e7b514dd1590b6e
12283,https://github.com/cran/SRRS,swh:1:snp:4be05c882ef1b9c627c2ca3c0a7c9f123fab7d49
12286,https://github.com/cran/StatMethRank,swh:1:snp:3816ebb181531f2de62f71fd68e4429490bc0389
12287,https://github.com/cran/Stem,swh:1:snp:07c8797ce4cb3c9c373184c881ee1aa1f935722c
12288,https://github.com/cran/mixer,swh:1:snp:f945cb5f8d841e47eb9e81a1fd63ef8ce4890e1c
12306,https://github.com/ketch/nodepy,swh:1:snp:39be9237b75affa8eed7260ab9508d446ccbaf8f
12313,https://github.com/cran/Daim,swh:1:snp:b4e19ba735668e30d4ba0a927b4816d50bae4329
12325,https://github.com/cran/texmex,swh:1:snp:f656519a8ef9e7dff8003cd0b57d6c02310a0b02
12352,https://github.com/cran/trueskill,swh:1:snp:84194d74f93c45459772f33507e154940defd5b1
12354,https://github.com/cran/tsbridge,swh:1:snp:4f6fdc24ff1c10e321603bbeb7a2e98dcc416d46
12355,https://github.com/cran/tsDyn,swh:1:snp:8da1fc89e5ea91b38446d6aa77b5deeb0cdb98f8
12359,https://github.com/cran/TwoCop,swh:1:snp:70f191006d55a5d1e1480ddfb2624ba26126a576
12382,https://github.com/soheil-soltani/TranKin,swh:1:snp:fbdb2d3c5b7e6aed0f592bc139bcd8ffbc53f14d
12413,https://github.com/cran/ncg,swh:1:snp:9b304fd8614e66448bb7d9d2c827618a67f9eea6
12414,https://github.com/cran/gof,swh:1:snp:c45f11a7a4cae59b637749dfcfadf93ac4c7a222
12417,https://github.com/abetten/orbiter,swh:1:snp:d6ffc86632f4ff155efd9dc7aa6f66eb752f137b
12443,https://github.com/vadimdi/PRNGCL,swh:1:snp:3fc4b21b36e2c4fd5445345e278999c6d5bb4352
12446,https://github.com/jopasserat/ShoveRand,swh:1:snp:9188e814c321d5a3aa18041749e6fd64d06dbeb6
12470,https://github.com/cran/fastcluster,swh:1:snp:e27e63024ab053867d9610bd0cdf1a2864ea784c
12520,https://github.com/pygae/galgebra,swh:1:snp:0411153241014f0d89018d6254d15d5dbb0b1691
12561,https://github.com/cran/ordinal,swh:1:snp:b682f72d32d378cc8fc2e16f45b0258415943b4f
12602,https://github.com/rrze-likwid/likwid,swh:1:snp:e1188d46fdc7aede102ceea219ce3eb5cf852a16
12603,https://github.com/IBAMR/IBAMR,swh:1:snp:1653b13686989010d927d62d96f4dd5cd65f420c
12616,https://github.com/ValeevGroup/tiledarray,swh:1:snp:4feec61cc895e95623582e266b977476b95d0fe9
12625,https://github.com/MikaelSlevinsky/DEQuadrature.jl,swh:1:snp:3f4eb805af10330d1a8f77c1772b174e53ec07a9
12627,https://github.com/oseledets/TT-Toolbox,swh:1:snp:bd19c088fe318324479bbd0ddc278b80b19112c6
12639,https://github.com/ccecka/fmmtl,swh:1:snp:de38c5d956affefd5ab459eb15403282ded462ca
12668,https://github.com/andybaoxv/symnmf,swh:1:snp:18444d7d331faa032ae9634777465da787739527
12718,https://github.com/jbytecode/rcaller,swh:1:snp:8312867b137ed1bf4c6422b4466ca8d60b76409f
12733,https://github.com/open-mpi/hwloc,swh:1:snp:2d5a2d5fe434f128e259137516758663044b95fa
12910,https://github.com/berkeley-abc/abc,swh:1:snp:141a25977e5723e1ea1ee11af37a0c1e67fbeb96
12926,https://github.com/satuzk/pfolioUZK,swh:1:snp:078db170adb779e3af2cdb437314c9980d432452
15313,https://github.com/cran/rflann,swh:1:snp:112790798a32cc8c0a7fa6f7dd63bfd0fc7f6667
15314,https://github.com/cran/BAMMtools,swh:1:snp:8e529b069371bcf63440702522c0e4077055a060
15315,https://github.com/cran/RJSDMX,swh:1:snp:48705e06c401fd0870ea0614b39bf3117ac2e09b
15316,https://github.com/cran/LindleyR,swh:1:snp:803336823b0ad83c91975e8a59c0a44cceb79a21
15328,https://github.com/jiapingz/shapeDTW,swh:1:snp:c9494a7bb2012e61f7fb6eb6026bffa3bd60bd1e
15335,https://github.com/cran/PoissonSeq,swh:1:snp:99c5190b6a20accdad37ca70fe5eb155628b5b9e
15352,https://github.com/cran/BaPreStoPro,swh:1:snp:18633df8e18b518225e7c01147473684d9369a46
15353,https://github.com/cran/soiltexture,swh:1:snp:41a2c7cad039f56dd9304ec7f8291ae09cb9fd8c
15355,https://github.com/cran/camtrapR,swh:1:snp:02259b095d018996707daa28c763c3d92ed25602
15361,https://github.com/cran/extWeibQuant,swh:1:snp:cd6d9419b335f3d8052f896b888a83bf7ca1aadd
15362,https://github.com/cran/LeafAngle,swh:1:snp:736b982b669be6e9b2ad71d29dad7ba00d06713e
15363,https://github.com/cran/episplineDensity,swh:1:snp:14196cbe8cb250cd3a7e0cf066fecb0dae4d12e6
15365,https://github.com/cran/MPAgenomics,swh:1:snp:57deea712d264417dce3b91ef4d533ce8a77792e
15366,https://github.com/cran/highD2pop,swh:1:snp:908fb67057945b366b2dd9804a6c637a50c48305
15371,https://github.com/cran/hsm,swh:1:snp:13d57a5739e4f1d9fc5b980ff1b41215f9162c65
15372,https://github.com/cran/stringgaussnet,swh:1:snp:bdb5814d82e6c54f226f4ea06942d5415a9d6b37
15377,https://github.com/nest/nestml,swh:1:snp:d418de716059c0aeb00d92ea9885a511ffee4a2d
15379,https://github.com/cran/kSamples,swh:1:snp:4c120ca53bfb9e4bfb9d604344aa492a9447cf79
32074,https://github.com/christophe-gouel/RECS,swh:1:snp:4fb5f383de65f4ff63b5d596c6c27c882faefcfb
32083,https://github.com/opencobra/cobratoolbox,swh:1:snp:c49f3a86c579657f44e19983f59b1c471596afea
32089,https://github.com/uber/causalml,swh:1:snp:ab0c53172fcb305431d56e0e91ef888e16ffca23
32090,https://github.com/davidchalupa/GraphCombEx,swh:1:snp:453f73c1a0fe624f2409efaf2d09e0c37b039f3b
32091,https://github.com/umontreal-simul/latnetbuilder,swh:1:snp:9ccb4dddd0e9f56b7c231fbf6761425e70776ccc
32092,https://github.com/mfcats/SplineLib,swh:1:snp:531a73ac0796b556d9a5466adf43d2be542b8ff0
32094,https://github.com/HendrikMuenster/flexBox,swh:1:snp:c9957476ec740bef605cbc1511d2a76c7623e11b
32095,https://github.com/Kleshni/Elligator-2,swh:1:snp:096d5c49f3a73b3bee954e44d4da58569fdfd1b6
32100,https://github.com/geodynamics/citcoms,swh:1:snp:f65d34cae4b45c7591e6723da50430d84ec4af0a
32104,https://github.com/SableCC/sablecc,swh:1:snp:a4915394c8bb7db2cd2857dbf96cbc92d57a665d
32105,https://github.com/enkimute/ganja.js,swh:1:snp:4b99f4d4b22fcc6941875aaecd45eeae307a8708
32118,https://github.com/simulkade/FVTool,swh:1:snp:dc50d561adf27acc2ca5b68ae0141632b2c211b9
32120,https://github.com/jialiwang1211/ODsplines,swh:1:snp:36ca0dd64bbe22645aedfe4ee3fa372aba326c9f
32123,https://github.com/rdevito/MSFA,swh:1:snp:8e6756856a0c62061bc11094479446829badc2e1
32128,https://github.com/cran/NanoStringNorm,swh:1:snp:dd4ad0c565c0a5288998f9d3a9b660f23dc238fa
32131,https://github.com/cran/UniDOE,swh:1:snp:28c90515ebf5139cef7e3559b75f0e183834971b
32133,https://github.com/KechrisLab/multiMiR,swh:1:snp:5f9cf1aabb439c2f3e44b29b9258bcb7017d882d
32137,https://github.com/cran/envlpaster,swh:1:snp:6cb10cd7728787108061fcb747a0f87a27bc956a
32138,https://github.com/bd2kccd/r-causal,swh:1:snp:2fded48e6b01600a155980d0b184dd473757c348
32140,https://github.com/VCCRI/CIDR,swh:1:snp:5e9758b05edfc95f77da381b2dd48a890f00f42b
32141,https://github.com/epierson9/ZIFA,swh:1:snp:1b91393a6dcec06faa7a4eaaf4ae575dcb3d16cc
32145,https://github.com/sysbiolux/optPBN,swh:1:snp:58a8cf422f1b79cc954c50e89a715b1686f10f27
32151,https://github.com/truongd8593/StokesP1FEM,swh:1:snp:03fba9304bb3fcf9eebf65a74ebb03d3b022a076
32157,https://github.com/cran/kzfs,swh:1:snp:eea86acfcaa7e23439d17b12102f3960fe88672e
32161,https://github.com/cran/BART,swh:1:snp:ad86dd4f9049d6e935f214a0055ebd8f39632857
32182,https://github.com/RobertCoquereaux/Lie-AffineLie-Representations,swh:1:snp:f00499d8fccf814a60bb770a18ddbe6fed731b34
32183,https://github.com/miciosca/STR,swh:1:snp:51b1cf7c31afb8a8a2c22bf70db90109f80f15fa
32184,https://github.com/blimasouza/DavyFeyn,swh:1:snp:1ca931884f659133168b054e231f35b2ade98971
32279,https://github.com/paulrozdeba/varanneal,swh:1:snp:7577323f414ecafdb8fc36f83ae530cffe8de3e4
32286,https://github.com/cran/normwn.test,swh:1:snp:2240c57c1ff56d7dcf9c68130aa3c91cd2c22017
32287,https://github.com/cran/mvsf,swh:1:snp:099f48390a01df91623aa389d27cf786a3b5c63a
32290,https://github.com/cran/mvord,swh:1:snp:d007dfabe28844e34e62d698def85a589b74b374
45855,https://github.com/opencobra/cobratoolbox,swh:1:snp:c49f3a86c579657f44e19983f59b1c471596afea
44602,https://github.com/mindslab-ai/faceshifter,swh:1:snp:795bd55713f41fcc149d1104e39d4b69f2acec53
44598,https://github.com/markusqh/DoFun,swh:1:snp:7d82bd5463a238541451db0741e794576e2edbc7
44596,https://github.com/zhry10/PhyCNN,swh:1:snp:23c0791fadc9c989df82eaa7df776e0d7411417b
44590,https://github.com/exapde/Exasim,swh:1:snp:0d0056dab030123aea87158d7ad4d2db4f63bc9c
44584,https://github.com/hutorny/chaskey,swh:1:snp:dd55abd210ea6db3244607f6b216214efbb0295f
44577,https://github.com/TianboLiu/LiuSIDIS,swh:1:snp:5c87dec875acb8d4837769e205b6c4fdcc9bdba4
44576,https://github.com/prokudin/WW-SIDIS,swh:1:snp:f3ed6f9b1f7ea91c7ca88538697629bccefc7df6
44563,https://github.com/davevanveen/compsensing_dip,swh:1:snp:d378571ecf88805b1ab2194bb87b9899c075964b
44562,https://github.com/GaryMataev/DeepRED,swh:1:snp:fbabfd96a463d2db8e259d3f90d0f66e0bd72a9b
44559,https://github.com/mojivalipour/symbolicgpt,swh:1:snp:3491827010bd8129f3fdaf304a8aa0bb4146204e
44542,https://github.com/pogudingleb/DifferentialElimination,swh:1:snp:c674d99fbd45b0580125d56b94858482b02d39f9
44533,https://github.com/nabipoor/wcep,swh:1:snp:b50179a3ecbe6d835e8eb57796803d8e5df08bea
44524,https://github.com/kwathen/OCTOPUS,swh:1:snp:c636494b999c4f633656b810b1192e5cd36d9cf5
44521,https://github.com/statnmap/SDMSelect,swh:1:snp:454036213b85cc58f5538fd496124012d5f98273
44520,https://github.com/boyanangelov/sdmbench,swh:1:snp:dabfee74689449f6328e8cc3a6abe23a251fc9ec
44514,https://github.com/pyomeca/biosiglive,swh:1:snp:31e61394aeafe8878756274f2b6a4cdb64652b3c
44504,https://github.com/david-cortes/stochQN,swh:1:snp:fc9e1d44a85c9fcf72462c8e333b49a95ff21927
44501,https://github.com/cran/colbycol,swh:1:snp:b21f18167f4bad7b9499b35e0ff26691bfe64d72
44498,https://github.com/jabbamodel/JABBA,swh:1:snp:1bef631d5d0c5e8dbdb22b4f785d818400ab6df0
44494,https://github.com/cran/rtiff,swh:1:snp:1d1875910343d1f59bd6a0a795fdb47151355eb2
44366,https://github.com/cryptograph/stealthdb,swh:1:snp:d75e805a81dfc6eea75e62bcb2e0cb5dda11d483
44358,https://github.com/deib-polimi/TRex,swh:1:snp:b620bc4c41aaf7a4bd38321698b7cfa4da53f8b8
42952,https://github.com/kailaix/ADCME.jl,swh:1:snp:6e1d0e62a25a66ca6abf15124a69596560a1766a
42951,https://github.com/Ulvetanna/EikoNet,swh:1:snp:4f83217c34cf7ea9653f19664a354867a24dc5d8
42950,https://github.com/ericfinster/opetopic,swh:1:snp:541fb6e86187dec3d68d4be6906384cd469aeb60
42937,https://github.com/altaris/opetopy,swh:1:snp:e6d6f0cfa47809ac1d88f314372e6b33f4da6458
42936,https://github.com/gknave/ManifoldID,swh:1:snp:52059696dacf0f1816608be1de7302866da28b40
42934,https://github.com/mountaindust/Planktos,swh:1:snp:ff609808658756c7e886140da773a254fd05095c
42933,https://github.com/gramoli/synchrobench,swh:1:snp:b24911f98aeec6c80b677a823b76866667b32351
42932,https://github.com/sss-lehigh/numask,swh:1:snp:1269366e2612e0efff9a6ba77c7553b9766b9dba
42918,https://github.com/fpgasystems/MLWeaving,swh:1:snp:6496816bd3a5deb0e8138f812d8f8813dd6576a6
42917,https://github.com/KastnerRG/spector,swh:1:snp:0e46774d5d292cf1b15f9a0e0fb35e2ff58cd57c
42914,https://github.com/RC4ML/Shuhai,swh:1:snp:5a86626087dce298e62645013e56e6933fef7d0a
42913,https://github.com/hsijiaxidian/FOCNet,swh:1:snp:5d4fbc2b8b029a206daa4ade659a27a791fcfcd2
42912,https://github.com/czbiohub/noise2self,swh:1:snp:40f74b94cea3852b4a737be9c77cfa061fafb673
42908,https://github.com/Ldpe2G/PCANet,swh:1:snp:ae64805f10556f1e23e30625eeb1b64385e4a9f3
42907,https://github.com/caibolun/DehazeNet,swh:1:snp:6b86b9b6d06a6751f2475714225a8b9dfab4acad
42906,https://github.com/jpbalarini/otsus,swh:1:snp:5e0562f8616e767c7d88ca8ff703d712f8cdc08e
42903,https://github.com/KIuML/DependenceAwareMLCLoss,swh:1:snp:91fd3cc611ca7ae348cca393dc20f766ff805999
42897,https://github.com/openai/safety-gym,swh:1:snp:8beea3ffd521b8e23d68e01565cf658dd8deda58
42896,https://github.com/MishaLaskin/curl,swh:1:snp:d244e24cc1663dff34d86070168e0df7b1977047
42895,https://github.com/hyecheol123/Summary_of_QT-Opt,swh:1:snp:fefb88a50e28b0f7cabe8bc4f67c37a4c23a3595
42893,https://github.com/openai/vime,swh:1:snp:ef75fe9fedd13027b560971493ef106e28bdff92
42890,https://github.com/pokaxpoka/sunrise,swh:1:snp:90286905ca8df716011430b79f3604be4682f8a1
42887,https://github.com/EmmanuelSchaan/HaloGen,swh:1:snp:347d6604d1660648793ce0f84a88d457f8f945b2
42882,https://github.com/jeixav/LCS-Tool,swh:1:snp:b703ffbcf056528265ce0e9cedc6ae413667ac1d
42881,https://github.com/haller-group/BarrierTool,swh:1:snp:9635ee11a305d12160b74cd66016fbca3cee27c4
42878,https://github.com/champsproject/ldds,swh:1:snp:6880bfa57d1b645f26fffcb312c790276fe222b8
42863,https://github.com/JHU-NI-LAB/OpenLPT_Shake-The-Box,swh:1:snp:e2223f3deac828e9a6bf267e697e329c11bc511e
42859,https://github.com/cran/epidemia,swh:1:snp:f8bb932737f67488b9abfae4109803c4e37317ce
42857,https://github.com/cran/stsm,swh:1:snp:57d0199b01b735f558123607f5777d773ff95b78
42854,https://github.com/uhlerlab/causaldag,swh:1:snp:0f3c11d0f2e1f4c6aa2c2033ff78c4ecee53aebf
42846,https://gitlab.com/lifex/lifex,swh:1:snp:0ec7af53e3f71f81df60a03f4c06c9c832286525
42845,https://github.com/fabridamicelli/echoes,swh:1:snp:a92bfd74e3f046098873a642069775d7f4faaeb1
42844,https://github.com/stefanonardo/pytorch-esn,swh:1:snp:fb6954a45294bff2c7ea3ceb8fc9fcc208346ebc
42843,https://github.com/nschaetti/EchoTorch,swh:1:snp:a034c88bbea05c79553f09d9b487a0ce0d1e419b
42842,https://github.com/cknd/pyESN,swh:1:snp:ff62dfe459ad1e63a849599c00ab01f8d20e59bc
42839,https://github.com/pysat/pysatKamodo,swh:1:snp:98688951061984268491da2432e87663b73745da
42830,https://github.com/cran/DAMisc,swh:1:snp:8742bbbe75014e94b131cf80ecf93eebf85d8dc8
42827,https://github.com/qinwf/re2r,swh:1:snp:42b3cc3e34139a5264a2c0193e251b03553a71a3
42804,https://github.com/ValerioMedeiros/BTestBox,swh:1:snp:67c0608217d7eb3a309cacc5ce2d00924e204488
42803,https://github.com/ncatanoc/eventb2java,swh:1:snp:82fe00260d833513dbc274fc2f55972859fb601e
42794,https://github.com/philip-huang/PIXOR,swh:1:snp:84eb0dc06ebc0cd3e2ce376df4df75f327ff47dc
42778,https://github.com/cran/Twitmo,swh:1:snp:267c508d91590d246a208e45f51b77d93a17e8a7
42774,https://github.com/mlondschien/hdcd,swh:1:snp:fb1bfcf9315bcda74632e86c415d22357193f5d9
40969,https://github.com/nitika-verma/FeaStNet,swh:1:snp:02090ba4a9d805dacfa5b6a371b3cdcc4b0262e3
40967,https://github.com/SuihongSong/GeoModeling_Conditional_to_Probability_maps_plus,swh:1:snp:aafb85c82e8b3cddab6985d04af933c41272037a
40966,https://github.com/abatchev/FMM-VFD,swh:1:snp:5cacf0399e36d18699269de0de56bd16825095cd
40964,https://github.com/hmwesigwa/smartcities,swh:1:snp:71529f08b066345801b08b8844ae0673a1b84b7b
40956,https://github.com/ohines/plmed,swh:1:snp:7f1e2203466ed5f9b9a2d25b5e423743070e73a4
40952,https://github.com/statusfailed/cartographer,swh:1:snp:4fa20d4e0bb035f7c0f536bc5203560e21b2494b
40950,https://github.com/alessandrorizzi/torpedo,swh:1:snp:8e29288c8d0770b8c90d0eacbe380d97576d51ed
40949,https://github.com/oxford-quantum-group/discopy,swh:1:snp:57fcbe0585215c5cedd6ebb259e471ba423d8f10
40947,https://github.com/AutoRally/autorally,swh:1:snp:e718d908113505182f0cce4ef8b1255f3260aa5a
40943,https://github.com/nimble-dev/compareMCMCs,swh:1:snp:e0f91327b47348034ca017a56c2999d0603e26db
40941,https://github.com/cran/singlecase,swh:1:snp:1085fe2ec27b1b562aaae503de39adb861be2f14
40939,https://github.com/alyakin314/lqrt,swh:1:snp:5a4122ed8b13cc94d106c0c65a25b39cc5694eec
40937,https://github.com/cudamat/cudamat,swh:1:snp:b7803110dc4ecf936d464312c9b144abfb5b6fcf
40936,https://github.com/openai/InfoGAN,swh:1:snp:de3a0edaa1012b371c7693f23dbafc1d902f5147
40931,https://github.com/MMunibas/PhysNet,swh:1:snp:001e4293d373b6c89a86d44415395d0096b78ad8
40930,https://github.com/jparkhill/TensorMol,swh:1:snp:8195e6ab5b5b81d91e760d2e3e3e759a4dffeff3
40922,https://github.com/karnwatcharasupat/latte,swh:1:snp:852ac33452eeb2e0d8ceba98bf02ea436fc0d8f5
40920,https://github.com/ydallilar/flaremodel,swh:1:snp:2a7d31eab26c292f9e903dc91b0f6f5d5f7ac709
40917,https://github.com/wecarsoniv/augmented-pca,swh:1:snp:54a18d07d7bab99e3788bfa4a9b81cdbfb03c88e
40911,https://github.com/cran/BayesMed,swh:1:snp:c20aa68aec7befd331c7798a41e5223647f62610
40907,https://github.com/boryspaulewicz/bhsdtr2,swh:1:snp:e675c2e90d38dacabebbbd0ad6b4c34cb974b86a
40906,https://github.com/spiwokv/anncolvar,swh:1:snp:1627c8774f26529982687548e3e5f288971cac3a
40903,https://github.com/fdslrm/MMEinR,swh:1:snp:e1e248c395bf4ddc58e7fbc0fd4c759a34350e4e
40902,https://github.com/tikzit/tikzit,swh:1:snp:b65e6557d4549cb2695ecb2aa2e7be2c14d5c924
40898,https://github.com/CategoricalData/CQL,swh:1:snp:1529aef19141ade6de808b6b8db3551fe8e80bf6
40897,https://github.com/statebox/idris-ct,swh:1:snp:811a1a0330895c8bb35386b764c0345eaec19410
40890,https://github.com/atomistic-machine-learning/SchNet,swh:1:snp:d4bc3b1364882706674cbfc2158021d4af8bc878
40886,https://github.com/rasmusab/bayesian_first_aid,swh:1:snp:5bc2ae4e64dae0b4dc1b9515b064fe87772e9eca
40879,https://github.com/cran/mfbvar,swh:1:snp:556352626817dd5f9c7f72da2571ed30f1ca76b0
40869,https://github.com/cran/SurvGSD,swh:1:snp:ad89339dd2b875a692abadf02dd60093a0cdb129
40864,https://github.com/cran/mgcViz,swh:1:snp:c9d2839cd9f68c5542ff7f287fb9e0a5fdda44fc
40861,https://github.com/ahstram/al3c,swh:1:snp:c994b3cc2a626acd25636e3b249759db4d3259fe
40860,https://github.com/biips/rbiips,swh:1:snp:6e0c8b056a3aab31ddb6942c43ffed1957c68177
40858,https://github.com/AndyLamperski/lemkelcp,swh:1:snp:0c7dea74a9ef71c0e011ae3ba2249fdfc7af3dc6
40857,https://github.com/cran/dalmatian,swh:1:snp:df1365afbafff1b365828eefd3a77a52d7a59289
5082,https://github.com/cran/MPS,swh:1:snp:b8b44289f41edc16b44a75b0f37058a9a21dc14a
8233,https://github.com/cran/depmix,swh:1:snp:d6189bbfeac90818e2b060e856f400d6dc560ec9
11109,https://github.com/cran/crimCV,swh:1:snp:0dd4b78bcd15e840e2ff0fa5f1e6faf799b93c6e
11830,https://github.com/cran/RTDE,swh:1:snp:f70a99df18aca730d4063f514290af309ed4600a
14377,https://github.com/cran/CollocInfer,swh:1:snp:e77bf8e62dcb916f522a0520aad678c108c54ba0
15145,https://github.com/cran/EurosarcBayes,swh:1:snp:a47ba619e45d98cec11ff342d6b11297fa00fd87
15146,https://github.com/cran/MvBinary,swh:1:snp:98ae86e578e22f41e26f1fdb26e2df6736ede769
15290,https://github.com/cran/Fragman,swh:1:snp:bc5a5ace08c9ac5f5fd01ddad4532210a0e80a22
15461,https://github.com/cran/bigQueryR,swh:1:snp:4ac70f1c049a2d2027f40c37d209681566c3ef1d
15563,https://github.com/cran/MLCIRTwithin,swh:1:snp:2b15f70102e15514c8fed30dc635f449ee79734c
15942,https://github.com/cran/prclust,swh:1:snp:760fc18d9f5cd370046b229b39265cc6fd846a7f
15946,https://github.com/cran/SLDAssay,swh:1:snp:f6ba4729a0e02863b8056194100774659a4d954e
16098,https://github.com/cran/MultiBD,swh:1:snp:b2b59e515a0f5cf2bfd8d71d6bfe4b3d42598ab9
16322,https://github.com/cran/ibmcraftr,swh:1:snp:5e75c85e7cd80d2263e25f2996583ae7e9331ec9
16511,https://github.com/cran/ph2mult,swh:1:snp:eca9dc289da68caf09879f9f68f14abe6c7f8bc5
16604,https://github.com/cran/ViSiElse,swh:1:snp:d15dc2762ef77ab5dcd74605a3f6088b7e0ff319
16687,https://github.com/cran/EffectStars,swh:1:snp:2e9509bba590a891f4b3fa4ffaaa49ae37ac53a8
16697,https://github.com/cran/EffectStars2,swh:1:snp:6cb83a63f5cd1398d02975ce50de0a09cef5c060
17239,https://github.com/cran/FRAPO,swh:1:snp:da47c3a84b4b33a17033d38c4acd3c2343e73de0
17387,https://github.com/cran/bigtcr,swh:1:snp:8f6aaa9138792e057945daeb13ddea43d64a2e62
17393,https://github.com/cran/RDocumentation,swh:1:snp:b6344c6d5fd4443bb16539c41f3be700ace7b7b2
17527,https://github.com/cran/BMRV,swh:1:snp:f2d6ded7e1fc6d4088c82287f18b2754a77babf5
17543,https://github.com/cran/ADDT,swh:1:snp:b5476030d24e11da143d46bada0eab07d2bfb363
17544,https://github.com/cran/ampd,swh:1:snp:77b1ad9b38ba10bb8feb7ba323e4dbb7acd2dfae
17708,https://github.com/cran/bc3net,swh:1:snp:9e7ffda68397d98da067ae5d4c3bc7fed26fcfb1
17758,https://github.com/cran/infraFDTD.assist,swh:1:snp:8f9080ed37a1a1e417dabf91df24bc73a5179873
17775,https://github.com/cran/ABCoptim,swh:1:snp:111dd8cbdd50ab3b98d90dcca98e742983d5117a
17776,https://github.com/cran/biogas,swh:1:snp:a16184cb01eb32d8dd3ad5cc69f2833eeb85b3bd
17779,https://github.com/cran/gwfa,swh:1:snp:1516742da909e85c55f78c1a4c9c14de17f7210e
17780,https://github.com/cran/pipeGS,swh:1:snp:d7a8b2d5eaa56d51d1c548ec18c255d28d5d898a
17793,https://github.com/cran/wec,swh:1:snp:9e339d523da4cbdf9b25c96f807ca8a4bc7c80b7
17795,https://github.com/cran/colormap,swh:1:snp:c228a267273107f8b306e561a422c2342478885e
17801,https://github.com/cran/epistasis,swh:1:snp:99555050dcf8d048828df4497b816517e2245ec6
17808,https://github.com/cran/strat,swh:1:snp:40b967f96e5a2f9ec3a811030e15527e4f72faae
17884,https://github.com/cran/camsRad,swh:1:snp:8802b29c045aef8eb2c25b9618c8b3c3ab8511bc
17885,https://github.com/cran/eMLEloglin,swh:1:snp:ff1e1b23a429c7577f3ffa02c8a29803a366b1b0
17919,https://github.com/cran/GeomComb,swh:1:snp:dda6e55364a5d2678219ed4d22572bd40552e975
18003,https://github.com/cran/seeclickfixr,swh:1:snp:ddfe2d90c1a6f11b133b079a098492326687c684
18015,https://github.com/cran/easypackages,swh:1:snp:57febd9e044bdb4a4421d8eef72caeed751cbe37
18016,https://github.com/cran/ezec,swh:1:snp:945b06b08fdf8f7ea01690f4c79d2773d30f4942
18024,https://github.com/cran/phuassess,swh:1:snp:38261091cdf0a601d5bf495f055f264925c3a79d
18156,https://github.com/cran/GLMaSPU,swh:1:snp:cc2b32b38a1fff08177e44159216737e01f0d731
18157,https://github.com/cran/INSPIRE,swh:1:snp:c4c65fc4c8bae6c50afc7d9b2b7c7ec307c7adb4
18167,https://github.com/cran/ShapeChange,swh:1:snp:6fceffbfc518759e20e58946b27f9134a2217cbe
18465,https://github.com/cran/BivRegBLS,swh:1:snp:b221deef397e01f1406f0c1570a73766060683f2
18787,https://github.com/cran/PhViD,swh:1:snp:4bc0ec042bec9c545957f92d0601c6f19746db47
19216,https://github.com/cran/cmaesr,swh:1:snp:83d63af1701ba8f2b74549638fd5818ac2fa552d
19511,https://github.com/cran/conover.test,swh:1:snp:8ede048f84d5c5b0958b6c38ce3051bc199967fb
19525,https://github.com/cran/frailtyEM,swh:1:snp:54d34a4ff54640f4af17f79a3f88e7a61a624715
19536,https://github.com/cran/xbreed,swh:1:snp:3b2e128833679ad0b1cc06537d91f0ad87b5db71
19775,https://github.com/cran/JMbayes,swh:1:snp:5a3e614ea98f372df56834ce7c02def9c8b6c41a
20526,https://github.com/cran/gk,swh:1:snp:bd37b19f5efdfc955071c6833cb3be7cf6893969
22965,https://github.com/cran/lsl,swh:1:snp:abed51395f6db858b564285a8b8e898e65b58115
23544,https://github.com/cran/AlleleRetain,swh:1:snp:6e2922aa67a095effbc38e9c9822a8faa4d93e0b
24098,https://github.com/cran/basicspace,swh:1:snp:f42a3365adf98a0bf8a50ead1762efd9d9960c94
24238,https://github.com/cran/BLR,swh:1:snp:b829e075ff94b8d7f9a01a05e96b6622602a065d
24258,https://github.com/cran/landsat,swh:1:snp:b9510fc49610a5124691c3b2f223f590a7c563ec
24520,https://github.com/cran/abe,swh:1:snp:0365384df156903fac6818fa848cfb59bbfaf308
24573,https://github.com/cran/wgaim,swh:1:snp:74ced234d49c14c2af3cc7c6e92e6de478d6fff5
24639,https://github.com/cran/hive,swh:1:snp:b369c8cca6e7bf25ee21ee5f53a15490fd33b3c6
25106,https://github.com/cran/binseqtest,swh:1:snp:abc6be566b0fdd16df5bf70c2dc73406301cc1eb
25180,https://github.com/cran/fBonds,swh:1:snp:7a47fd0a09df06dc314ec63adaea3293ec6dcd04
25548,https://github.com/cran/jointNmix,swh:1:snp:f96d01a741bc466b6ee925263d62e8a65441dfaf
25595,https://github.com/cran/cthreshER,swh:1:snp:8d3c7fa711de95c53f84e91e2dc29bd4b44d66a2
25669,https://github.com/cran/RFOC,swh:1:snp:2f2fdd6f037966c1efa863ea7eb095c18e2a60da
26191,https://github.com/cran/gtheory,swh:1:snp:1e42a89116d68fc8727b4e9b30f471c0da152aed
27233,https://github.com/cran/Quickpsy,swh:1:snp:c29ff1a4a63896bbb59881b4d56cebc4f390c943
27469,https://github.com/cran/live,swh:1:snp:4a3ba682ed6cc72e77315db92e063b5c31f6c8be
27883,https://github.com/cran/ArCo,swh:1:snp:033a6c8ee4d5df779c773e4d3dd53c4024a7de47
27914,https://github.com/cran/mbclusterwise,swh:1:snp:8fc4098408a4e1984c1f27d85b163f4576917b05
29203,https://github.com/cran/ordcrm,swh:1:snp:b1739dbfc7eed3654eeb726b8ddce55cecb9a7e0
30172,https://github.com/cran/MLML2R,swh:1:snp:2b118f72be9cb1f8abcb40fc6864ffd9a56d6a17
31408,https://github.com/cran/MixedPoisson,swh:1:snp:fd47743d57e7e984f8e51e5a7b74db22cd3c49eb
31556,https://github.com/cran/PAmeasures,swh:1:snp:5df26acdb7b7d3a3a26ede487d4cf8714892e25c
32024,https://github.com/cran/mogavs,swh:1:snp:a3f0aee0a3de3bdabebfbe3a7ed4d5a879e46ab1
32126,https://github.com/cran/robustBLME,swh:1:snp:d73a5817eeee41969eca1f1901d8d92e2a105f96
33201,https://github.com/cran/BayesMFSurv,swh:1:snp:d70924e67b2450cc95371965ea93acdca4738698
34272,https://github.com/cran/cometExactTest,swh:1:snp:863e8431cc782bb59c52f4fde072d679d8f6cc3f
35702,https://github.com/cran/PSW,swh:1:snp:15d419edfdc64c273cdf44ca81070f656c220d7c
35731,https://github.com/cran/ICCbin,swh:1:snp:c9d11b26b92d78faa39758d9fb34b3a8e5f7c8bb
36077,https://github.com/cran/nproc,swh:1:snp:2f14d1e4f2d87433b2938111bf473e5a98916dfe
36821,https://github.com/cran/stepPlr,swh:1:snp:2539d0ec351cbfc50ad38290d2c86bb851c3aabe
37408,https://github.com/cran/DirectedClustering,swh:1:snp:98808d6b94a7d40721fb04236d1907388916a5c8
37490,https://github.com/cran/FENmlm,swh:1:snp:d738a4ade5dfdad49c6073e17ae510e06af5169a
37934,https://github.com/cran/countgmifs,swh:1:snp:f308da0c8baf395cfb6a2f671eab24f7b6113826
38627,https://github.com/cran/rDecode,swh:1:snp:a006728c76bbf42e8ac3e1f51eafb6212cb1ba7e
39083,https://github.com/cran/DHBins,swh:1:snp:4139eba1fd0a7ca1eb566216ae9088cc92bb71fb
40188,https://github.com/cran/YPPE,swh:1:snp:462c5f7665c5ab2dea2c36acc61df1e8802d58df
44784,https://github.com/cran/zscorer,swh:1:snp:50d0a46994934ec770ee45549a8a7dbbaa466c1b
44778,https://github.com/cran/nmadb,swh:1:snp:2d8d36a010bec01b4ec92765d870d1444911932b
44530,https://github.com/cran/ADCT,swh:1:snp:cb0656bdd8eb8be74aec7cbf54e028d4b4bce1cc
44485,https://github.com/cran/PBImisc,swh:1:snp:6767a04c020da00224fefa5c163406c10222f651
44378,https://github.com/cran/cusum,swh:1:snp:ae852f5c3db9242da2314a24593bb331ae72027a
42967,https://github.com/cran/pdSpecEst,swh:1:snp:2c80e79f2f5e6a64b2d017ccad56192519b3c3b8
42438,https://github.com/cran/doex,swh:1:snp:0f90b95a6150d0a0144134b761c070ec765b766e
42293,https://github.com/cran/UniIsoRegression,swh:1:snp:ad25eb3d5a2b87355db3b628e38b2a9e4a3a8e58
41967,https://github.com/cran/MetaLonDA,swh:1:snp:1bf8b33db058a392d3d632fe50ea040b71bba37c
40882,https://github.com/cran/mixdir,swh:1:snp:30e514f1839bc31430ae014f67328c129656047d
45389,https://github.com/cran/aVirtualTwins,swh:1:snp:5323e63ff4b156754f10363cad767e151ffc8ff2
46787,https://github.com/cran/cifti,swh:1:snp:bd6d6c247b3b9f991b0710b75c967e86696a4588
12944,https://github.com/cran/RGtk2Extras,swh:1:snp:cc3de9e8f538b7703dbea8436e0dfbf1b57f1298
12945,https://github.com/cran/caTools,swh:1:snp:cdd59f856dd4ee4e3b34d9e18a20504d57d9fc8a
12952,https://github.com/shumway/DataSpork,swh:1:snp:5a32af23b3791b19c08143c266b94a1eb382b863
13011,https://github.com/bulletphysics/bullet3,swh:1:snp:c036b6dc7923747163da709211a8e175835bb57b
13056,https://github.com/cwhidden/rspr,swh:1:snp:a55b1630783705f51fa19eff724cd06c85f7d31b
13085,https://github.com/marco-fedele/vmtk,swh:1:snp:30b3d9bb014f6f0b26c9d24e1eadb7acaf900cda
13092,https://github.com/smtrat/carl,swh:1:snp:4c993137a9e938da3547a974042d0a511ed53ee9
13114,https://github.com/floodyberry/ed25519-donna,swh:1:snp:5a0e85588b61cfbc2c53dca0830ed1dd79330554
13119,https://github.com/PythonOptimizers/opal,swh:1:snp:935bfed4db8d994971bdec04fe9892d6e2524b3c
13162,https://github.com/breveglieri/ebs,swh:1:snp:651a14150bee0326b6ce9d01b8bb40e0b4e165b3
13207,https://github.com/cran/lcmm,swh:1:snp:b39255f0edc2f970d2b0667fce84f193778f7207
13215,https://github.com/cran/lmec,swh:1:snp:983aedb1686b0d909e169a6e1ccff9663a143d56
13216,https://github.com/cran/heavy,swh:1:snp:4dc0e4cceb9ea6eefadda1537af29aac78480d98
13217,https://github.com/cran/glmmBUGS,swh:1:snp:82f5e289da298cd3e1f21d57c132e917f27df699
13221,https://github.com/cran/bayesSurv,swh:1:snp:a9737858966a9966b6dfed6cfccec6843ea8f888
13244,https://github.com/tsbertalan/openmg,swh:1:snp:8f37aef0a19a4151339fb895d2f03b2564f38916
13270,https://github.com/cran/ggthemes,swh:1:snp:5e306394cfb20bc51c5608b2beaa7c4514277ce5
13271,https://github.com/cran/dplyr,swh:1:snp:c1ac18bb9948f25f7473eb6ac70abc014234ca40
13272,https://github.com/cran/GGally,swh:1:snp:f9d61dda95b85ea7d39a6759c0fed4f4ca71dbbe
13273,https://github.com/cran/extracat,swh:1:snp:96ac5883e082a729e460408034847ffc2b895074
13279,https://github.com/GailGithub/GAIL_Dev,swh:1:snp:3311f3aeadd4ca29bbe818ca526f9bf2bd0df27e
13294,https://github.com/kraused/maci-code,swh:1:snp:08dc21efcd934df1ff3d907a7be73cc7dfc15593
13302,https://github.com/frelindb/agsyHOL,swh:1:snp:9ca53dbb516bf58baea393bdfa1c61ebdb58fe51
13311,https://github.com/dmitry-vlasov/russell,swh:1:snp:cb037b39570ba91f92d9be0ade06b7ce2859cbb4
13317,https://github.com/secure-software-engineering/DroidBench,swh:1:snp:d4ba8999aeb85cabd15d92d6adbaeb9c903541fb
13358,https://github.com/cran/lasso2,swh:1:snp:e1551528dde97f089da88a72efd9bc4d129c9995
13362,https://github.com/cran/depth,swh:1:snp:2049230a64a976ab80ed08c4393646302ba3112a
13366,https://github.com/SCRFpublic/snesim-standalone,swh:1:snp:bcaa7d1ba0ce2889c73342ea5f4848dbfbd7cbdd
13419,https://github.com/cran/DMR,swh:1:snp:3e59c6bb1292769407349f19c7884148a79acbf8
13420,https://github.com/cran/gvcm.cat,swh:1:snp:959aa84c954df079217fd6d2819977a143875bd7
13452,https://github.com/antonleykin/PHCmaple,swh:1:snp:173022c4e6d805fb0be48e288a1f0d233dc4d7a8
13476,https://github.com/asteroidhouse/equibel,swh:1:snp:b95521f308680eaa90d4b4a0b7ab61583592618e
13479,https://github.com/cran/mirt,swh:1:snp:8f0c98d631056cb36ea7b8f111243b01d343c79f
13484,https://github.com/cran/Lambda4,swh:1:snp:94ac2cbd0f5213050a20a4c2920c939a531d109c
13485,https://github.com/sburer/QuadProgBB,swh:1:snp:8a8606ef6ac01a750e58a1473dffd7d69b7002ad
13487,https://github.com/jiayuzhou/SLEP,swh:1:snp:cceb26d475fb2243c6a935432ffb8a1c3ca0bc59
13489,https://github.com/dstehle/fplll,swh:1:snp:a0cd282f0c9a0e336ed3e077bd3919742eb46307
13557,https://github.com/tysonbrochu/eltopo,swh:1:snp:e519c91128581d995debcda6bf6c359a878ae5b3
13560,https://github.com/cran/Rmixmod,swh:1:snp:780ee7f04fd43e0fbd31071e7ac273c491264516
13638,https://github.com/visminer/Visminer,swh:1:snp:b7ea9e402b9999534f1e3bd86604643a3ede51d7
13663,https://github.com/deducteam/dedukti,swh:1:snp:40851bac4f4adeacf44bbc06c447952d97a5e73a
13695,https://github.com/cran/PSM,swh:1:snp:f99176ec77e15ce268b93ff633a8419bd018dd9d
13703,https://github.com/secdev/scapy,swh:1:snp:73c244c6a418868f6d5cabed6456cfd827302a48
13710,https://github.com/rpaxson/cuLsoda,swh:1:snp:4638be6e84dacf2d7c7f97376ca8ca4c4885e901
13714,https://github.com/andrenarchy/krypy,swh:1:snp:887f3006c5a5d7111fa59d818574cd4d7b3b9b76
13730,https://github.com/joey711/phyloseq,swh:1:snp:3b011ed0f1a8a316232ed774564c0cc2b2cdd3dd
13738,https://github.com/artreven/fca,swh:1:snp:78131e1f90ea4cb5e2248e196f60efc99a5a76af
13743,https://github.com/cran/spatcounts,swh:1:snp:59b119133c50f3159e222f31ce8900234f2974f8
13748,https://github.com/jeanluct/trains,swh:1:snp:ab456b06084febb4861b273364b3668ee61b820c
13759,https://github.com/LeventErkok/linearEqSolver,swh:1:snp:4062f1ec54755b1a47afdf7dd7174e28b1fa22e4
13816,https://github.com/cran/shiny,swh:1:snp:1d175b62c073d7d64fc107798103296ef6f3f5ad
13818,https://github.com/cran/spsmooth,swh:1:snp:b1959cbdf617921150477d15306977ba8fe89a7e
13822,https://github.com/myreg/cobra,swh:1:snp:71e9607c7a8f3881ee49e0e95fed86c617d8cfab
13830,https://github.com/cran/survJamda,swh:1:snp:469c3b98c80a9af1cf960bac849162053639a229
13847,https://github.com/mfragkoulis/PiCO_QL,swh:1:snp:d8f15ff77441c04d2ba38f854db6135ade7d02ce
13858,https://github.com/flame/blis,swh:1:snp:d6ce479b4905d9cb54dc1f68cc4fc75a3a6b40bd
13909,https://github.com/cran/LOGIT,swh:1:snp:b2d3d4407fe11a846a3b9e523da95148c46f074c
13950,https://github.com/cran/TAM,swh:1:snp:b6bc9fbbb8e779e8a46091de073284a4545c031e
13951,https://github.com/cran/mcIRT,swh:1:snp:229e80f35860b335f3a1ba7482433eb1b7d71876
15717,https://github.com/hpddm/hpddm,swh:1:snp:52c5a856a20133fbe1cef1d41472f7981538a8f7
15720,https://github.com/bgrimstad/censo,swh:1:snp:34da6e5edd304ea4513f56f0400eb7463824756e
15727,https://github.com/spectralDNS/spectralDNS,swh:1:snp:8e236dd11989ae898300d7f0273474fa81de757c
15738,https://github.com/cran/GSODR,swh:1:snp:362131d79805c80d3da9d234e55d8672163df2ff
15741,https://github.com/cran/excursions,swh:1:snp:8dcac9061cb76161d6794141f355e0328cfb7942
15745,https://github.com/cran/propr,swh:1:snp:84b6cc477cfc2a3905e0d1e564e467672c2ce65b
15748,https://github.com/cran/Rvcg,swh:1:snp:bc5c8b6a60cd2eee854592edcbeb93fae82984f5
15749,https://github.com/cran/sodium,swh:1:snp:dd9dcab57a2037ac8d6cdd973ae918e71b042230
15751,https://github.com/cran/geoparser,swh:1:snp:3666eb68ec2d596bc5c90f0f227d2c0c26e275ba
15755,https://github.com/cran/IRTpp,swh:1:snp:49da8ebb3f62625634aee44e3b0d4568b9d250a0
15756,https://github.com/cran/PACBO,swh:1:snp:f2d4734d73220c3cb6c97ed34be9fbc14add83ef
15759,https://github.com/cran/riverdist,swh:1:snp:ec737ee568b1b3cbf71308d2de4d625374730d44
15761,https://github.com/cran/BalancedSampling,swh:1:snp:300d548902533c6f99a7da38c05bb0ef6b269e27
15764,https://github.com/cran/fiery,swh:1:snp:80918ba243c2553dcd56abe8e9a9b01c26a58995
15765,https://github.com/cran/future,swh:1:snp:f08be4ba804ad3a17861f65cd706e8250ada4340
15773,https://github.com/cran/badgecreatr,swh:1:snp:0736716c8b3037d3dad8e9ea813ed5e50f4ebcde
15779,https://github.com/cran/Sequential,swh:1:snp:be0e3486c1a9739925bca12cd0f5a1d0f9d42f92
15785,https://github.com/cran/rphast,swh:1:snp:ac3d11e5d1ccde91d47517fafc4f1dbcaa650311
15786,https://github.com/cran/rsq,swh:1:snp:3e4ea2dbb0aefd283e44c31683562d8d82ed44b1
15787,https://github.com/cran/scam,swh:1:snp:527fd6f5bf38c60289c56d9c80cfbf3b66e61926
15790,https://github.com/cran/sybilcycleFreeFlux,swh:1:snp:d9e8d43b3fbaf48ea4fc07509aa8ad7ab9b953cf
15792,https://github.com/cran/CluMix,swh:1:snp:1f7eae87bb9a78532242cb7060d401b54a54ddee
15796,https://github.com/cran/bioplots,swh:1:snp:0a04933b7cc3f8110e0b37bee0c970a55a292227
15801,https://github.com/cran/RClone,swh:1:snp:32396058ba8d8f81f94cff703c4a91a91caa3ce1
15802,https://github.com/cran/RVAideMemoire,swh:1:snp:9e7fa472129d39a8b2323eef913d2fa7e8c96751
15804,https://github.com/cran/sybil,swh:1:snp:2ff6656869716d36dd7dcb644e1b5b3aca0898c3
15805,https://github.com/cran/treeHFM,swh:1:snp:ee861349e7a2b19297d36cf946fdbc22ab8713db
15813,https://github.com/QData/DeepChrome,swh:1:snp:2cfffd7d30825e5da790e0c28d6955ec6d231da8
15817,https://github.com/cran/DStree,swh:1:snp:901b930e44a2216c022debe5622fa8653299d1ce
15818,https://github.com/cran/fmsb,swh:1:snp:4dab49fddfca5080111963aac2047fa19fe3d6ef
15825,https://github.com/raphael-group/wext,swh:1:snp:f51acbb2fa7f1ebcbd1670b8e4f9d3a004d86acf
15851,https://github.com/cran/dynsurv,swh:1:snp:b4b96c26e50e6e5babcd706ac25a0380286c4d38
15856,https://github.com/cran/hunspell,swh:1:snp:f41f340dc7f40c39550aeb6d0282ff889165944b
15857,https://github.com/cran/miceadds,swh:1:snp:4eac1c80edd101a4c485b9a1a167b7b593155ec6
15859,https://github.com/cran/monographaR,swh:1:snp:a14b4ef3b9114ffab877097ba22869361c1b94cb
15862,https://github.com/cran/SensMixed,swh:1:snp:aad1c6f6b9b3c74ff2812038790a43c0d62aded5
15866,https://github.com/cran/TCGAretriever,swh:1:snp:447032b9110b241ef7259c81e1a816be0eef6938
15867,https://github.com/cran/BANFF,swh:1:snp:889f9181734d6309dc6d9cdbc755c3c2901e115e
31593,https://github.com/floodyberry/ed25519-donna,swh:1:snp:5a0e85588b61cfbc2c53dca0830ed1dd79330554
35090,https://github.com/bulletphysics/bullet3,swh:1:snp:c036b6dc7923747163da709211a8e175835bb57b
17417,https://github.com/moves-rwth/storm,swh:1:snp:f299aceb5e4b367932e47d66a99b911df56cecc7
44056,https://github.com/fnielsen/wembedder,swh:1:snp:27b1a86d8ae9b16d1ca28a70015b50bde5609856
44055,https://github.com/tianhan4/paper2vec,swh:1:snp:b7237e3d7fc09f16790abaac5be37c4bb889faec
44051,https://github.com/yangguorun/SegStereo,swh:1:snp:8fa8a66fa5d958589e22ee1306aae2e204c9d90c
44047,https://github.com/yuxng/PoseCNN,swh:1:snp:6ce039651af920047baec45102bff85b16ec33a4
44042,https://github.com/weders/RoutedFusion,swh:1:snp:ca83e33d3d565e3a2fbc21dbe4e81a2d4e558c6d
44036,https://github.com/VisualComputingInstitute/mots_tools,swh:1:snp:b76d99f84b107b584c410f741c292b40e33199b9
44035,https://github.com/EvgenyKashin/stylegan2-distillation,swh:1:snp:3316fc13672285f5d94eed261e3a5f09b4f4090c
44032,https://github.com/fabiotosi92/SMD-Nets,swh:1:snp:7776038aacd4beb909c319832461c50775a62393
44030,https://github.com/scape-research/SOSNet,swh:1:snp:c2a20a4132d700fd9d347a6889ae41a27655381e
44028,https://github.com/yuruntian/L2-Net,swh:1:snp:528a99858d4ecef43cd2cbe16f8fcb6304dba7a0
44025,https://github.com/m-tassano/dvdnet,swh:1:snp:986a956212d5834dd048efaaf051201fd17ac232
44024,https://github.com/yunxiaoshi/Neural-IMage-Assessment,swh:1:snp:f06aea8edab1c188f51eff1bf87610539fae7072
44017,https://github.com/vsitzmann/deepvoxels,swh:1:snp:0f64ead956bcdc04ceb0d42b6cb5677e3eaa2814
44016,https://github.com/vsitzmann/metasdf,swh:1:snp:93203b819d4adb375854ea56844f830414295d8f
44015,https://github.com/chshin10/epinet,swh:1:snp:63f2511c9de88cc4a305c45449b38ecde1a1617c
44013,https://github.com/puzzlepaint/surfelmeshing,swh:1:snp:1a52682d0bd6f4a6fe77ca0a8be671e2c6fc0936
44012,https://github.com/lmb-freiburg/autodispnet,swh:1:snp:a47603913c629d4bc6cc7735d4b3be956be0ba7d
44011,https://github.com/facebookresearch/frankmocap,swh:1:snp:cec574f2c8cfa84833375b345830574f58bd0457
44009,https://github.com/RenYurui/StructureFlow,swh:1:snp:b680bc4f05e542b79363ff25d3b33357a1a2ebbf
44004,https://github.com/JunHeum/BMBC,swh:1:snp:c652e33b1da0ac4ef62c502f49fa11bcdf1bf217
44001,https://github.com/End-to-end-provenance/RDataTracker,swh:1:snp:1ef8f3d7e12a5372f2d445c8490b3a381403c755
43996,https://github.com/VictorSuciu/prunetrain,swh:1:snp:3c924f38c03d87484c07c9bdfc9a1bb06ef68fe3
43995,https://github.com/maciejzieba/binGAN,swh:1:snp:67757f69c43a920effc2bfda59754c69bcb04aac
43993,https://github.com/T-Obuchi/SLRpackage_AcceleratedCV_matlab,swh:1:snp:2c47c048b203a5750bfe97aa1d4aee6108922841
43987,https://github.com/anqif/adarad,swh:1:snp:1814df566df939f36bf69b97d123291a97eee590
43982,https://github.com/XinArkh/VNect,swh:1:snp:0c575972bb9a8c019b8bedbf6371d51322757e0d
43977,https://github.com/microsoft/Oscar,swh:1:snp:30d44e27a6a44b2925fa3e2f2fc9c1e47d4b008c
41573,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00119,swh:1:snp:9c32ff62c113c5f17879f57ca9a04b2e0f421eec
41567,https://github.com/sprite728/comfort,swh:1:snp:d17490db6df22db35f43830b0f2f8eecd9c60a67
41560,https://github.com/leonweber/nlprolog,swh:1:snp:599cd13450e2ecbf4c635e1d3b50788e2ef89734
41558,https://github.com/ehaka/lie-algebra-gradings,swh:1:snp:7e82808deff8f47d8cd1b9d4d654e2575d319aed
41555,https://github.com/CullanHowlett/l-picola,swh:1:snp:3fa0879e6c06460e20a72fcf31cbaf9e75ba9e72
41551,https://github.com/jswhit/toms623,swh:1:snp:8d5537d8a5b2b54a65c3c7997e836767287b92e6
41546,https://github.com/TonyWauters/JNFP,swh:1:snp:2efc17c308c178dd2c4cbb50a4fcee07ca18efb2
41545,https://github.com/DavidHarper/speedtest,swh:1:snp:97245732788571bfe250237e0277c02b4120b745
41544,https://github.com/pereiramemo/AGS-and-ACN-tools,swh:1:snp:200d7f5a9edbda71d2cca9519aad4278f7a4b0a2
41543,https://github.com/wikanda-phaphan/ELBIG,swh:1:snp:7e4903d310e05a886ce9b767ac2b4483546df0e0
41542,https://github.com/lgottwald/PaPILO,swh:1:snp:a63a0c6fed2c1612d0dde6e63cc544b68a933fbe
41537,https://github.com/SparClur/SparClur.jl,swh:1:snp:b4f5fca2d1ce8ad7e369f0e9840d348906de97fe
41531,https://github.com/SilviaTerra/rFVS,swh:1:snp:2a0100ef2ddb9b49e3cbd06f9c6354b45f90c265
41516,https://github.com/DylanWusee/pointconv,swh:1:snp:39331bf6c6bf014707b055880ad3ff2ce6d7352b
41515,https://github.com/msraig/pfcnn,swh:1:snp:d829416c3aeb1eadf4f7d79d1ec7d480622d1804
41512,https://github.com/ChenJiyu/meminf-defense,swh:1:snp:267e5fbd3d1c7187c1e7ef8dd27d9e5ce4956664
41511,https://github.com/LeungSamWai/Drop-Activation,swh:1:snp:2be493d5c4779515723ce13b498744f09957391b
41504,https://github.com/gordonliu810822/REMI,swh:1:snp:5b9a1147b6e7c4f6641268088643f6132611d9e1
41503,https://github.com/jihoonakang/parallel_tdma_cpp,swh:1:snp:14ba82476e994ecf2d38e4512dc4c08111e8328d
41494,https://github.com/bioasp/caspo,swh:1:snp:da171057c5a4a10544f780af15faa3015355faae
41484,https://github.com/cran/oblique.tree,swh:1:snp:ed5b78644c987354d58218ccd7d5a3bea2ca4a78
41479,https://github.com/musco-ai/musco-pytorch,swh:1:snp:9574f3b0d6164318123660d4329544000d837e17
41478,https://github.com/rvalieris/signeR,swh:1:snp:e84c496ddbfb02b71788af46cf176bff444e8a76
41477,https://github.com/h-Klok/StatsWithJuliaBook,swh:1:snp:400b55f9ce0ffb9425cf0976718bbf7559375979
41476,https://github.com/IoTKETI/oneM2MTester,swh:1:snp:15794d46d41e3cecf22c70d390c33647b1da4bfc
41473,https://github.com/nasa/refine,swh:1:snp:a3e7282e05dd99988fb673d414296e5801c30e1c
41472,https://github.com/arnedc/Needles,swh:1:snp:f30c44d594fe1448598436cf51a42c59ba829808
41471,https://github.com/Sinnloshausen/LP3Verif,swh:1:snp:43695749c44d6aa172a0d181b067ff2ad8b38ba7
41466,https://github.com/BaoWangMath/LS-MCMC,swh:1:snp:fa880eb2f0f9954f570a241baaf2899e5ef159b6
41464,https://github.com/SkadiEye/deepTL,swh:1:snp:e5739842c80a6aca3d427299f0bd5b86d8657e4c
41463,https://github.com/kelrenmor/bs3fa,swh:1:snp:1c95ef37c86b4f5229a4862025dc4e4c677038da
41462,https://github.com/jnhansen/nd,swh:1:snp:381d934f18787d2f6ba78dfd70d629af1da76463
41455,https://github.com/edwardspc/phylogenomic-workflow,swh:1:snp:3d5355f49e2994d37db2c16e7e15d041d699d2d0
41454,https://github.com/mmondelli/bioworkbench,swh:1:snp:85db8172e699087edf081edf751b5bdb11e8c648
41288,https://github.com/trojai/trojai,swh:1:snp:a34609d1e72c1f355a7b41094f0dbb0f365a8e11
41287,https://github.com/pkiourti/rl_backdoor,swh:1:snp:608ffd52270e16ec4300f639ce8844b6726a20f6
41286,https://github.com/ryderling/DEEPSEC,swh:1:snp:8ba52cc02c772637dd03444588a2823ea7b57458
41285,https://github.com/GokulKarthik/MagNet.pytorch,swh:1:snp:47d91c97870d353f229824b4223fa77881c4dd20
41282,https://github.com/NervanaSystems/caffe2neon,swh:1:snp:99bfea7d22acbc0df2591ed745ba171d66e86f10
41281,https://github.com/Kooscii/BadNets,swh:1:snp:2ffb2eefd8852321bb943e1c5c35974817a9f843
41280,https://github.com/google-research/mixmatch,swh:1:snp:b24f1edb6d8e00fce9fba922800b3e02cf607f95
41279,https://github.com/ElementAI/TADAM,swh:1:snp:d80f2aa58f6bd92c1b0bbd3b8a8963306c382f82
41278,https://github.com/google-research/s4l,swh:1:snp:cd48240478f97f591b5c04db90127ad40a18c9fd
41277,https://github.com/google-research/fixmatch,swh:1:snp:7a6d4e427dd6c5929c9cfe5e04d114a89a526adc
41276,https://github.com/LucaHermes/DeepView,swh:1:snp:f051c85918a0e65c2273e5b106dbb79a320ac2b8
41275,https://github.com/google-research/remixmatch,swh:1:snp:e735756a78af1c5fff0db249926d43b0b3972375
41272,https://github.com/boudinfl/pke,swh:1:snp:83cf4c111ccfea5773dda86047588d85df56b904
41271,https://github.com/cran/CVarE,swh:1:snp:0ec113fd600ca429008b2257c1618fede966454a
41269,https://github.com/tabdelaal/CyTOFmerge,swh:1:snp:e6327fdb9094af12712fca0fd93fd7d46c8256b2
41265,https://github.com/alexheaton2/tensegrity,swh:1:snp:02be93c2219f3c2c69caf6194f4490a0a6fa8ba3
41256,https://github.com/dtunkelang/jiggle,swh:1:snp:28b758e55dc63747a11b2912a9e0aea8af98d43a
41254,https://github.com/JCBridgeman/UnitaryPremodularCategoryData,swh:1:snp:91f0b4343163a74513ea92320032f7023c85b884
41240,https://github.com/samet-akcay/ganomaly,swh:1:snp:2ed9550be15d145c673734c876dcddcdef6f1e84
41239,https://github.com/taikiinoue45/PaDiM,swh:1:snp:d3ca434c0a1ba353471d214b46b5d16384d79837
41234,https://github.com/tmanole/GroupSortFuse,swh:1:snp:346f3ee55639f9d8d1a335c6dc0bed2014dbb22f
41231,https://github.com/ucla-vision/entropy-sgd,swh:1:snp:f646157a7686cb4c1547a0075284a69abd5b7d47
41228,https://github.com/kbarbary/Dierckx.jl,swh:1:snp:055e4b675f7bdbcfacf1825b2cd72ae57768d5ae
41226,https://github.com/vishwas1984/LaplaceInterpolation.jl,swh:1:snp:0e8fdbb22543d60291bc4845eced85b220f058b1
41225,https://github.com/elwinter/nnde,swh:1:snp:b95f6ce856f71baf4e1fd72325e97273211296dc
41221,https://github.com/xfangcosmo/2DFFTLog,swh:1:snp:07c46e22407866a24e07b9f92f0ff41b1d28b152
41213,https://github.com/meelgroup/MLIC,swh:1:snp:518741313ac3701d38809ed9d609f3170ebe4a73
41211,https://github.com/5teffen/ViCE,swh:1:snp:c49380ec73793c2362f39dda51f0a5e27a1e48b3
41210,https://github.com/ZJULearning/AtSNE,swh:1:snp:fef08e7bdd0b8373e30dc65b200ea4163dbdea7e
41209,https://github.com/eamid/trimap,swh:1:snp:13507eb0a6cad805f903426c2d8ecac4decb24ff
41204,https://github.com/vanderhe/fortnet,swh:1:snp:e0c2e9584c42334ba6b81c1c8ce782bdd396887a
41203,https://github.com/abelsiqueira/dcicpp,swh:1:snp:fe1dd5baac16d61600761ce07e34adcc4887b254
41189,https://github.com/peterahrens/ReproBLAS,swh:1:snp:9385b5774b74ba0188a02f1f264ce2adba8478c4
41186,https://github.com/lindawangg/COVID-Net,swh:1:snp:3a15ede79bb68f8d00ec1e55ddfebea2e2962c90
41184,https://github.com/taunometsalu/ClustVis,swh:1:snp:513d3dbad82b019c6d72852cf5135baf5943b791
41165,https://github.com/JCGoran/coffe,swh:1:snp:d389edfd659932fcd364561f9abe346bdafa6e62
41157,https://github.com/denisyurin/GALIC,swh:1:snp:e3482e6eada5c0a90ae192c6922db4539d1ffcba
41150,https://github.com/deng-haoyang/ParNMPC,swh:1:snp:c82ab28b0122f45c9be981e2646aa923c57403d2
41146,https://github.com/timothydmorton/isochrones,swh:1:snp:b8cd9e7b41aa21459ba1459a07092fca10f5443a
3482,https://github.com/MOEAFramework/MOEAFramework,swh:1:snp:105b9820121964d18e5bb5d9185e77de113fbf1e
4081,https://github.com/RaRe-Technologies/gensim,swh:1:snp:56af728b940c9e1e403505fcb4271a1dd6be31c7
4106,https://github.com/cran/lpSolve,swh:1:snp:2182df905721767236daef4b28d1cffa2c0093ff
4128,https://github.com/ElsevierSoftwareX/SOFTX-D-15-00003,swh:1:snp:1acc4197068e6b9d75af563b923adeab0b8e2cdf
4204,https://github.com/andrejv/wxmaxima,swh:1:snp:961a625180e323ea84a962b003ad35240fe4f2d7
4293,https://github.com/lbfm-rwth/carat,swh:1:snp:353250b879f5e7a0e3bf06eefc34ca46910660e2
4359,https://github.com/cran/mvtnorm,swh:1:snp:ecacadc2bb5b22416d15cf94f5d63585ea4a5692
4360,https://github.com/cran/HH,swh:1:snp:6b26c1a6c9c3f1cc993d8a62201d340ee803befb
4363,https://github.com/cran/lattice,swh:1:snp:bd57b457d85e211a92fe2679e1cb8bcd67e1434d
4364,https://github.com/cran/survival,swh:1:snp:a3005554e533b57853fc61d6236e874b5c731311
4365,https://github.com/cran/pls,swh:1:snp:c51b968b987e852d236ac6a4605a51aa915cd730
4427,https://github.com/jboner/aspectwerkz,swh:1:snp:89fe5f78b015901ba0d844e3bb427134ebb563a9
4429,https://github.com/cran/spatstat,swh:1:snp:80f861729b3e39720d30407e5f2d5b6a3412d36e
4440,https://github.com/coin-or/Cbc,swh:1:snp:dde2cbeb8ddcf5243132654f8393fc57eef092f4
4474,https://github.com/cran/alr3,swh:1:snp:70aa935c50ea155544e3753638b8ecf14389578a
4479,https://github.com/cran/MASS,swh:1:snp:1177f488cc33d07a4aba1b5c0abc7190f606df7f
4481,https://github.com/cran/nlme,swh:1:snp:026612bfbf62dcea6222641c7f4a9c7b47906a5a
4482,https://github.com/cran/nlrwr,swh:1:snp:cf88575a5da867f5b88fd45f65957bef6ceab33a
4484,https://github.com/cran/nlstools,swh:1:snp:045760ed276e6f1e18ef1871f4a117d2cf7366bd
4485,https://github.com/cran/NRAIA,swh:1:snp:be8773f60792bcad8c2c3ae41631d5492cc101d3
4486,https://github.com/cran/sandwich,swh:1:snp:7459b6baa4e9f517de74cbaf822a3aec54b0a0da
4490,https://github.com/cran/VGAM,swh:1:snp:bbfb068f8fcf347377b8fb182bcd76885cbd3208
4494,https://github.com/cran/R2WinBUGS,swh:1:snp:cb3ee08893d9ebea95d32b41026209106231a62e
4499,https://github.com/cran/deSolve,swh:1:snp:c0e19f246371975f8e383e6648034622893aa65d
4504,https://github.com/cran/MSBVAR,swh:1:snp:48ebf982035a2c6a81c40af0cc242fb1abb0acc9
4505,https://github.com/cran/forecast,swh:1:snp:951395f90f3ec9ac59afbcbd16eeb2d545d26aaa
4507,https://github.com/cran/vars,swh:1:snp:c0f1315ed670656908cf767b212c4246884c61c8
4508,https://github.com/cran/fBasics,swh:1:snp:0d414a77ad9d3938e89b6e0de25db3cec9afc04e
4509,https://github.com/cran/tseries,swh:1:snp:0428130566b4052ca3ef4813a997566fcdb95d15
4510,https://github.com/cran/SoDA,swh:1:snp:a4c99a50dc49f82b591f268001b320f8c3ca0041
4511,https://github.com/cran/fda,swh:1:snp:9523f0d466702d960abd89c52a35d2466e8b9dc4
4512,https://github.com/cran/mcsm,swh:1:snp:3d8a1831b1e8e757ca9e4cd753e75c7198aae78e
4514,https://github.com/cran/Matrix,swh:1:snp:d6e6e3f63e49757835dd0c6da30b42aa396413f4
4515,https://github.com/cran/lme4,swh:1:snp:ca2e25ca6c3674c51266fa2099eaf330baeee914
4518,https://github.com/cran/boot,swh:1:snp:de1431a381ed11748beccf48c186a8a47b0a4479
4531,https://github.com/cran/perturb,swh:1:snp:c4e358d99b7984a72dd7591f26ccc78a356474b0
4535,https://github.com/cran/robust,swh:1:snp:c5440c4a0c3e7dd739f735aefcb4e3d2f683b6b8
4538,https://github.com/cran/odfWeave,swh:1:snp:d291d8d497f4eecba75788da1213b589ac844eb7
4539,https://github.com/cran/plotrix,swh:1:snp:b715289f2ccdf1956f3bb2c4c9a2c5500d48bc82
4542,https://github.com/cran/ggm,swh:1:snp:9577e0cb88560486e1a394bc1597f8491930bdc2
4543,https://github.com/cran/vcd,swh:1:snp:bf27a0865db52e2a1a7fe5821838ce4022d3254f
4548,https://github.com/cran/foreign,swh:1:snp:dcbcfdf5fcd89d07ca81c2b3f2efbfc0b7d47079
4549,https://github.com/cran/psych,swh:1:snp:f94e8656a47a8678fa35706f5820a79ff87e566e
4550,https://github.com/cran/RODBC,swh:1:snp:712a700875edb16b6d8655d252a0198579205ab6
4552,https://github.com/cran/xlsReadWrite,swh:1:snp:2c62dc85d5f9ae0f2c053ebe93fba833c7a98388
4553,https://github.com/cran/rggobi,swh:1:snp:0e7b0a9c4e81e52863eef3dcfe525a6f6d5955f8
4555,https://github.com/cran/gplots,swh:1:snp:a671d6a2f82fdd61af8037996dc0934063b013d8
4559,https://github.com/cran/RMySQL,swh:1:snp:7133f4833c75d5741810974c6356d2f8fa4fbf5c
4562,https://github.com/cran/RPostgreSQL,swh:1:snp:6153ccc0b3b980cd6baee23af8c2260b21942242
7972,https://github.com/cran/Forecast,swh:1:snp:951395f90f3ec9ac59afbcbd16eeb2d545d26aaa
15380,https://github.com/cran/CoinMinD,swh:1:snp:0a7ce2b90af76c474c9694ea21649c678704ea93
15381,https://github.com/cran/diffdepprop,swh:1:snp:bac8940772828c88d6dd3234e937a4130b446d27
15382,https://github.com/cran/NHEMOtree,swh:1:snp:eea3ef1d1b93b5692b5b9128e94b158f8dff5448
15385,https://github.com/cran/BACprior,swh:1:snp:898b8bd0c27d8666a278883ba02466beea4f23f7
15394,https://github.com/cran/SDraw,swh:1:snp:038ec0a0f2d8a094f89d258d43edb15a003303b2
15396,https://github.com/cran/LDtests,swh:1:snp:81b3a250ab7806dbbd73672fa1b4f32bcb9af56d
15397,https://github.com/cran/fuzzyFDR,swh:1:snp:4c40bf07e4085af2e4ca348f7658186138bc8768
15398,https://github.com/cran/allelic,swh:1:snp:3b117eaa7b8c4528427763d06c55a1051d2864fb
15403,https://github.com/ethz-asl/libnabo,swh:1:snp:4e4fd5b7b7c12f8036d1dcc4674bc7c2720218d7
15404,https://github.com/cran/HBglm,swh:1:snp:5cda4724948eea6a344f8448e2df13e5722eea58
15408,https://github.com/cran/Bclim,swh:1:snp:144cf0d5a9491b6b3e0113c85769eb614cb5a815
15411,https://github.com/cran/countytimezones,swh:1:snp:b1fe54e80ec68bd0b8ba5249d7971b096eacffac
15412,https://github.com/cran/predictmeans,swh:1:snp:e2b3140c914f8332b80d21945668816d06235062
15414,https://github.com/cran/Mposterior,swh:1:snp:7774d0056c0ee1375d908504c2334b15ffcb9a52
15415,https://github.com/cran/dissUtils,swh:1:snp:700087cd8fa28ec2df551c14e16e156b17198ef3
15416,https://github.com/cran/vbsr,swh:1:snp:4f4fc3669573fafee0590e5148c5742391be6930
15417,https://github.com/cran/CausalFX,swh:1:snp:5f9e11511f122656e501aedba21507bbd7028db3
15418,https://github.com/cran/SubpathwayGMir,swh:1:snp:30d5526fbd861935aa106542c97ab96f14a843b1
15419,https://github.com/cran/greyzoneSurv,swh:1:snp:68fbfb3cdc9de9712f9eab3949d3a2d5ccd0d83b
15422,https://github.com/cran/QCAfalsePositive,swh:1:snp:620063e4c9a5b2137026589bc6e4f0e2472576fb
15423,https://github.com/cran/RbioRXN,swh:1:snp:6263ab36aa5f7da75668952c93539d17d1b0c341
15424,https://github.com/cran/jtrans,swh:1:snp:c6d1f76a2d6ea3a708da304294fb7319ab4a2bc5
15431,https://github.com/scalanlp/breeze,swh:1:snp:dd79acc9b16454646faea923789779838dbd6257
15448,https://github.com/gregridgeway/hhsim,swh:1:snp:218f23d16a2589c37b79ec5863b3009f9a77e6fe
15456,https://github.com/cran/matrixpls,swh:1:snp:9d143eac4ef95cf47fea820673e349f13d75f198
15460,https://github.com/cran/TEEReg,swh:1:snp:b4ad6499043901c8567633c39973aa731db0c1f5
15462,https://github.com/cran/FPDclustering,swh:1:snp:aca231bf1f645760f28678f60469166f7c784a9c
15463,https://github.com/cran/mombf,swh:1:snp:b84a44670f11bdbc5c99fbb4b6adbb0beb90360d
15871,https://github.com/cran/lmem.qtler,swh:1:snp:a9a3652c084fd4a4b5508ac506563fd7ac0db847
15875,https://github.com/cran/xgboost,swh:1:snp:8f159683aedc96cf8df4253031b1c814bbf7d511
15876,https://github.com/cran/AlignStat,swh:1:snp:6b726e93aef7b28f3cfdbe1f0ef32c45a5bf1800
15879,https://github.com/cran/RProtoBuf,swh:1:snp:3b5959c2f7241a433e92882dc88b7636aafddc65
15881,https://github.com/cran/MALDIquant,swh:1:snp:9d90cfc9048e5cb71326814f276a2001ecbdd7d9
15883,https://github.com/cran/BacArena,swh:1:snp:42d587b328846440c0bda134ba34550298a8261a
15885,https://github.com/cran/OPI,swh:1:snp:1798d689c8c4aa761d46fdf42d351c20afed2595
15887,https://github.com/cran/chngpt,swh:1:snp:6b154adfa8e5cbade87b3286634b6180ea2fa244
15891,https://github.com/cran/MRS,swh:1:snp:733563bfbf7d2cfc384c0196b6ab9bbcb640b53c
15893,https://github.com/cran/spaMM,swh:1:snp:2474607e5c55750c175e5e86a092889a7753ce6e
15894,https://github.com/cran/tawny,swh:1:snp:515c45a234da7cf71da6ac443d4980378709c0bb
15897,https://github.com/cran/memisc,swh:1:snp:548de7933d495df65b57dc3d3084c8c75df101b7
15899,https://github.com/cran/preproviz,swh:1:snp:6c8a241547e7450aab690e46c8cbaa20def1d5f3
15903,https://github.com/cran/oce,swh:1:snp:a1bf90b90e55b91f7442333291676b76c3ee845e
15905,https://github.com/robertdj/GeneralizedSampling.jl,swh:1:snp:8d9d984514ad62c042c3c8066205d41735c72567
15906,https://github.com/robertdj/IntervalWavelets.jl,swh:1:snp:7967db76fe3c5985934c8a817851d7af76e4c658
15907,https://github.com/cran/extraTrees,swh:1:snp:491cb7b5062497fd426b0ebda2597ecfab7ff59b
15911,https://github.com/cran/nsRFA,swh:1:snp:8138b377681aaf6e3ea38efedb568072a14d433a
15913,https://github.com/cran/rr,swh:1:snp:0cdb85622a77efcf3d5b713f235685909a63887d
15916,https://github.com/cran/Rglpk,swh:1:snp:f5829d9b10adff00c26d3158f88732429d0586c9
15930,https://github.com/cran/GenKern,swh:1:snp:f6b3ae4e0f35b34861d60de467a1a6c1ae88c446
15950,https://github.com/cran/nat,swh:1:snp:2db621bd1f63c39f1daed4b3430f8e1a8c307def
43979,https://github.com/erikalu/omnimatte,swh:1:snp:706ef1025cbcc834e3244468a708bcbc37afd1ac
43973,https://github.com/HyeongminLEE/AdaCoF-pytorch,swh:1:snp:a6b849049240361422f4ca6718fe9ce5d8a83a7b
43971,https://github.com/laurentkneip/opengv,swh:1:snp:7e3cce22580aa0dda975b714020368894cfd7641
43970,https://github.com/cog-imperial/drill-scheduling,swh:1:snp:5d069560ad2ffa6b1c815e2d7e07fe4426c0c00a
43969,https://github.com/cog-imperial/rogp,swh:1:snp:b0dd51f0c97f0a33ce51e8feaac425711aa3dcc8
43968,https://github.com/joshloyal/drforest,swh:1:snp:ed054f9527553958b7cfefa48cbe04fb7948be55
43965,https://github.com/ShufeiGe/Shape-Modeling-with-Spline-Partitions,swh:1:snp:591160ec72ebcb6278258f097db19cd9d7b1139d
43961,https://github.com/scarv/xcrypto,swh:1:snp:a2311eebf6e7b76a17ba32591ffb40e14554d8b8
43958,https://github.com/JohannMitteramskogler/AGADE,swh:1:snp:606baa09d85935c374c8e43e861a6d2e3d68a052
43956,https://github.com/duxingren14/DualGAN,swh:1:snp:c7d9ff545103b49d29a8d534b6c244b0c404032d
43952,https://github.com/Kai-46/nerfplusplus,swh:1:snp:a3d19f4d966449cc30b139fa8606691879736bd4
43949,https://github.com/zdzhaoyong/GSLAM,swh:1:snp:6007580a2053639343a48b89caf1f3d42e2903e3
43948,https://github.com/x007dwd/StructSLAM,swh:1:snp:fa2ff1cd42d98b2d4f9337179433c16c7c68c6aa
43947,https://github.com/zhou13/neurvps,swh:1:snp:1dbb5f0a7909fbcb467690576967374ff6289092
43946,https://github.com/zhixuanli/StereoNet,swh:1:snp:0657dac9150d1a00f2e1af2446dabd8f6afe95f5
43944,https://github.com/suyogduttjain/fusionseg,swh:1:snp:bb78ca91b471aa2e30eed3ceba3a133e6cb0b558
43938,https://github.com/dingmyu/CamNet,swh:1:snp:19d4fc3a4ae469d285824840c14c05497968b427
43931,https://github.com/twhui/LiteFlowNet3,swh:1:snp:b0d55df1038bc65790020924345c49c35473a030
43930,https://github.com/phuang17/DeepMVS,swh:1:snp:aba61888302c065e7fa8e52e0b28f48b8fa0470b
43929,https://github.com/hjwdzh/FrameNet,swh:1:snp:08de086d190102dff15c805a7ce8d2ce6c58f7b4
43928,https://github.com/barisgecer/GANFit,swh:1:snp:f578e0686d32479fda8fa5155b64f357a3f42e71
43927,https://github.com/uber-research/DeepPruner,swh:1:snp:7cb8f03691b96715ab7b263f0d86934a49f25937
43926,https://github.com/harskish/ganspace,swh:1:snp:08caeb3af2e1ae51eb07a28992784b360ec640c5
41880,https://github.com/ZEXINLIU/Univariate_ttr_examples,swh:1:snp:117c45dacaaca054aa66e72d88f6693c95b8174f
41869,https://github.com/sbjoshi/Open-WBO-Inc,swh:1:snp:88734195db13c331f769e4a09d59c11cbfcbcd26
41866,https://github.com/wushulin/ParaDIAG,swh:1:snp:33ac7b2c5ac833f4a107d090c620bcc05240add8
41865,https://github.com/safwankdb/ReCoNet-PyTorch,swh:1:snp:3034129c732d5a56cd2226db875f9394a6d952e8
41863,https://github.com/armiro/COVID-CXNet,swh:1:snp:206ddbbcca56f45d6fd25930ebae21716fceafa1
41862,https://github.com/M4rc-C/OPENCovidGAN,swh:1:snp:3cb77256ff8acf3abea9fc173ae7c64f5133075f
41861,https://github.com/ShahinSHH/COVID-CAPS,swh:1:snp:af5843df0e74e1289cead5a979150752e0a865bc
41860,https://github.com/awsaf49/CovXNet,swh:1:snp:a909126acb928855c4ccd340bf350983e38ecda0
41859,https://github.com/mohofar/CovidCtNet,swh:1:snp:391da2191a0b80b6548b08e33320fba2a0c37c85
41858,https://github.com/MorgansLab/OSCILOS_long,swh:1:snp:0e43bca4e3a4141f47e8fe79da2332285ed0f395
41856,https://github.com/Part2Track/Part2Track,swh:1:snp:e7b5a63ab195b32d63ab108c472950905561a67c
41854,https://github.com/ctuning/ck-tvm,swh:1:snp:1deecec55957e3d9d792cda3d85f8e17d227bbe4
41852,https://github.com/nlplab/brat,swh:1:snp:729e259ec57eca062acbeae1fac0126bfd8fd61c
41851,https://github.com/shoron-dutta/MALOnt-1,swh:1:snp:3fa588e47fcb2f1c35eca2a0bfbd4f557b8d366d
41849,https://github.com/ARiSE-Lab/deepTest,swh:1:snp:92f4ca2ddbaf24ad6b335228de6f416198c6a21d
41847,https://github.com/peikexin9/deepxplore,swh:1:snp:40edc2c7490fe5c91a01d19e21da703f378e16d8
41846,https://github.com/brain-research/tensorfuzz,swh:1:snp:e9e486b9be686b274d16f827055d3b77015623e0
41845,https://github.com/turned2670/DLFuzz,swh:1:snp:d546c6488ce800fd638a73740679e365e1e79559
41843,https://github.com/xiaoningdu/deepstellar,swh:1:snp:b6c2ae8d0d092a27d8ed9c1a4a1ca073e28cd40b
41839,https://github.com/OpenMined/PyVertical,swh:1:snp:4b7e7ef83b4ff3555268757473d2fb0dfd915b6e
41825,https://github.com/Terenceyuyue/mVEM,swh:1:snp:ed7f26e794bde8b8edb62f4e75b3b3a92e3249c5
41821,https://github.com/ARQMath/ARQMathCode,swh:1:snp:5523437178420dc9eac2f73d3409db3717c6f140
41817,https://github.com/Mehran-k/RelNN,swh:1:snp:e86aa96d6639c2998bde8734066a0b70b08a065c
41815,https://github.com/cliang1453/BOND,swh:1:snp:ddfd84818cdeb6a486eac70bfdbac3839480084d
41809,https://github.com/MthBr/DEDICATE,swh:1:snp:36e82243aca0d9d9f2fa148829cdf6ec2c1ed1f3
41799,https://github.com/ThomasKroes/exposure-render,swh:1:snp:bcc234bba21f3a5fc917f5109cafa8a3ee63ea26
41796,https://github.com/IVCenter/calvr,swh:1:snp:5ed70ada31d224dfd255248cb80f33d31e654352
41795,https://github.com/volkit/volkit,swh:1:snp:9dc8869a1eb17383c19c452e892d7195e0907a32
41792,https://github.com/cran/robFitConGraph,swh:1:snp:843c6d52ea281a512690472c8f7bb1005cbcc734
41791,https://github.com/cran/nsdr,swh:1:snp:d9e31b9ccd66912053a9bf93042ca8a7969a8703
41786,https://github.com/Z1997H/ACOSampling,swh:1:snp:edd95ba55418b5e500dc250c4c52171e36e1b08d
41785,https://github.com/spozi/gsvm,swh:1:snp:d4416d50273dfa55787a5cca9f83abf6b7e48834
41783,https://github.com/shih-hao-tseng/SLSpy,swh:1:snp:a1d8fb69d4e4f6f254749b60a478865feef0e63c
41775,https://github.com/facebookresearch/multigrain,swh:1:snp:68fb1e65c83c6cb75b072b939542fd11d338cba0
41770,https://github.com/chualynn/Theta.jl,swh:1:snp:d7dd01e62983d076dd51517eba0a6b013768d545
41768,https://github.com/david-kamensky/ShNAPr,swh:1:snp:8a2da02355e6e0929ac67dab9a1035e4b995ecfd
41764,https://github.com/CGCL-codes/PathGraph,swh:1:snp:bb0cb5f8cbdf27334f82bb31ec82be312be07ed1
41758,https://github.com/uwescience/GossipMap,swh:1:snp:79178d9ecc6bf1444b08d6beb569cf59a18b1a5f
41756,https://github.com/ConstitutiveANN/CANN,swh:1:snp:0135cfd419cf1410bde09e4863c8a5fbd5109879
41755,https://github.com/peterwauligmann/PSpaMM,swh:1:snp:2e652ed57425c665cf0b0254a44bc5090d2d6537
40850,https://github.com/mtanneau/UnitBlockAngular.jl,swh:1:snp:21e1f0872c7b149da495cdc54631324674836dba
40849,https://github.com/mtanneau/LPBenchmarks,swh:1:snp:dcc51a78a77e2c5f4dcaeb7abbd767c796d6988a
40833,https://github.com/mwageringel/fgb_sage,swh:1:snp:fa3965e38a260ed03a43f285909caa0392d56499
40832,https://github.com/b-langton/Sidon-Cryptosystem,swh:1:snp:9ecf77e7f7e2d7fcc4206235620b3a5993fe3d18
40830,https://github.com/chaudhuri/sympli,swh:1:snp:970201f95c42fe6bca1da509df2333d8b50feee6
40829,https://github.com/meta-logic/lltp,swh:1:snp:126356fa7af3ac15f0636e1599a5a7fb6b090859
40816,https://github.com/adajani/gwo,swh:1:snp:1b42fd87de4061b81dae66a73a2ef31172428867
40811,https://github.com/cvxgrp/rsw,swh:1:snp:27b375489c6a6b100a9ce166c0e1c4f1dc970fa5
40805,https://github.com/ajmolstad/MTeQTLResults,swh:1:snp:004a615a8d0173c961b401b947608eb8c1ce1f2e
40804,https://github.com/SMAC-Group/TwoCircles,swh:1:snp:40561c7b48d7b1751176ee11c12cdc2cde2fa202
40802,https://gitlab.inria.fr/aevol/aevol,swh:1:snp:2ede53ed97d0b050c36b733ca0c4d95b8f045397
40797,https://github.com/megbedell/wobble,swh:1:snp:63044c51b97582f1c6230cc2372d102e220a7deb
40795,https://github.com/asandler/ParaPlan,swh:1:snp:63d6421a05784538550016869bcda55c677ec5f3
40787,https://github.com/mkocabas/VIBE,swh:1:snp:9df511d9b3d06519e2b2c269188eb2ba9d5090f1
40786,https://github.com/ChenFengYe/SportsCap,swh:1:snp:e95763a80c362aa18b87d30c97368ef5f88860f6
40783,https://github.com/activitynet/ActivityNet,swh:1:snp:a5a2b6cfe3b364b49811d96c4f89aec036833d6c
40782,https://github.com/ChenFengYe/SportsCap,swh:1:snp:e95763a80c362aa18b87d30c97368ef5f88860f6
40775,https://github.com/kul-forbes/ProximalOperators.jl,swh:1:snp:48b3ca280ca590186f6b03b0a6416cd7d5b39f4e
40773,https://github.com/nrontsis/PILCO,swh:1:snp:5fc06f75e87c990bb7268da86b87b5673171e5c8
40768,https://github.com/behavioral-ds/evently,swh:1:snp:1e3e03357205965ced42f69f4d5776b31af7354b
40767,https://github.com/xillig/TTLocVis,swh:1:snp:c03bf642a6cb970774037074eed8fff03ea581a1
40760,https://github.com/592692070/FingerNet,swh:1:snp:41561b0142ac5815faa312e52850bc9a8e5a5748
40753,https://github.com/crocs-muni/CryptoStreams,swh:1:snp:c5bf432a14aa161ff2aa6dbfa38448152293ebb1
40752,https://github.com/crocs-muni/eacirc,swh:1:snp:257286b9f00189e17d4de8a54b02149d48b5d293
40750,https://github.com/fdtomasi/regain,swh:1:snp:4843093f06941d0abe0973147e6fe85de82f9cad
40732,https://github.com/DataDog/sketches-java,swh:1:snp:8dde0927198f4eea1237315b65abfd155e27f651
40730,https://github.com/grantjenks/python-runstats,swh:1:snp:8ac63de3f1f814f00bafd4d29715b826e9f372bb
40729,https://github.com/cafaro/UDDSketch,swh:1:snp:d879163df698bdc787f6132de8d821ad5bd2f077
40725,https://github.com/BenGlicksberg/ROMOP,swh:1:snp:07a8bdc2f7d12a319d0c44e2c8b85c2ca89a1917
40723,https://github.com/qcr/openseqslam2,swh:1:snp:ef86d89a34f24d109b65f80b2edf922755b9fed2
40722,https://github.com/NVlabs/noise2noise,swh:1:snp:682be6faed1fe47f71295bfdda6b1e448491d36a
40715,https://github.com/CryptoExperts/Tornado,swh:1:snp:330b085edb4d4774f039efd4ac91678a6993fe2c
40711,https://github.com/cran/EntropyExplorer,swh:1:snp:197ac0d81550ea64a6f516b1e85c70062c4a5b5b
40708,https://github.com/ganeshutah/Jove,swh:1:snp:71b80aef55e2bf311d23fddd8b03836a34e2ab6a
40698,https://github.com/SubaiDeng/LSSHC_python,swh:1:snp:4740f43746a8e02171f57f5a3b2c84b7890a8ebb
40695,https://github.com/lpfgarcia/autotext,swh:1:snp:4b79587efbe66210183f9958bf8011de3509ef5c
40693,https://github.com/SkBlaz/rakun,swh:1:snp:1a488afb4584c612b31f9bd8e8ff66ff421ba777
11013,https://github.com/cran/benchden,swh:1:snp:fc5a7e3b6b995793ccbe458300326ebf96361080
11014,https://github.com/cran/BGPhazard,swh:1:snp:64afbf80a87baf1781fc67bc3193526ea5de6b8c
11016,https://github.com/cran/bmrm,swh:1:snp:4a668537fe96a59f8d4ae7d27bf3d1ae9722bda0
11017,https://github.com/cran/bnormnlr,swh:1:snp:773c7dbdea8aff88829b0a36fcd74df7f8e067aa
11018,https://github.com/cran/bnpmr,swh:1:snp:252f960b9c2241c9ba600ead5344fa7749a09fc8
11048,https://github.com/cran/EnviroStat,swh:1:snp:c1d96dfec84c8e6da62da603bfd4a4f6dfcc5b82
11049,https://github.com/cran/ElemStatLearn,swh:1:snp:af865dade8e4cb108f4f6d8121ea40e5623f9c29
11050,https://github.com/cran/DiagTest3Grp,swh:1:snp:a1b04922524129306eacb1d1643b0a7bc47f6df3
11051,https://github.com/cran/ConjointChecks,swh:1:snp:1fb590933bc49b9b6c000d0cc94c431001596124
11054,https://github.com/cran/ChemometricsWithR,swh:1:snp:2bf2d79d78138e3db63fdebe19618ebee20c5602
11055,https://github.com/cran/ChemometricsWithRData,swh:1:snp:ea32b6297bc3ba31e17f4f679314540d9f097aca
11056,https://github.com/cran/knncat,swh:1:snp:c4dc9fc84ca7b850e4620592952dbc6cffddfb32
11060,https://github.com/cran/TRSbook,swh:1:snp:13e05563bf6bae12c4ec59e223dd6129b38d73c2
11064,https://github.com/cran/CARE1,swh:1:snp:579b0c877b19b34d21604146ad03ecca1838cfa3
11066,https://github.com/cran/caschrono,swh:1:snp:d9b7f6625402f72dda27fe0bbd7e5fa3d27b4c78
11068,https://github.com/cran/CerioliOutlierDetection,swh:1:snp:5b82743c430afed67c867bba3b92f64560910b99
11080,https://github.com/cran/covreg,swh:1:snp:b4f41b6f952b750f7973672a85f1fa3c9761f24b
11084,https://github.com/cran/DAAGxtras,swh:1:snp:37faad0432cdd5da9135c3721d985c32b9b609b0
11086,https://github.com/cran/darch,swh:1:snp:e3ceb175166f5a925ab7f9de88bd1f3cb5f34149
11101,https://github.com/cran/diffEq,swh:1:snp:0b036fdf1c647f57ba8e6fb05f82d0437e33b379
11102,https://github.com/cran/diffractometry,swh:1:snp:872efdb6fa2c86e0f48dda40fb24812913784861
11105,https://github.com/cran/edrGraphicalTools,swh:1:snp:557b4639db62fd8d809fc2e6a1a3033a6ddf200d
11111,https://github.com/cran/polyCub,swh:1:snp:90d8c70c0f4ec01bdebbf526d53ac1b0016c3b5c
11115,https://github.com/cran/globalGSA,swh:1:snp:7ad9a9e4a9d2916a99b8eb5e4897388ee4f8ca98
11117,https://github.com/cran/qLearn,swh:1:snp:798d6dfe3fbe0e02c347fb98b072bed2edcab984
11119,https://github.com/cran/tlmec,swh:1:snp:2d033f369cf42341367be268d4bca19c16355130
11124,https://github.com/cran/fastR,swh:1:snp:3f0e3959dad4e5d361c341eb6bea670eab6bfdcc
11125,https://github.com/cran/FinTS,swh:1:snp:afbd834fba26efc1eb3bf7656420dfec412c80e6
11126,https://github.com/cran/Flury,swh:1:snp:f7335c9eba977e81e48919390908813d4659ba37
11128,https://github.com/cran/ftnonpar,swh:1:snp:c744e2a342c45ec728d2d5582d9eb296482e050d
11138,https://github.com/gap-packages/recog,swh:1:snp:d56b37268544453d7aaf4cfcb490f0043966f031
11190,https://github.com/cran/munsell,swh:1:snp:38224701695eb35951f5b0067c5e139f042bfb3a
11193,https://github.com/cran/gPdtest,swh:1:snp:6f4ddbf57a8c5b008266841158ca2ee7f58e36be
11195,https://github.com/cran/Guerry,swh:1:snp:95af2faece30ca4e9f9063f45935e66edde116a9
11201,https://github.com/cran/hgam,swh:1:snp:0a5584d26bcfcf3a088eef55a5a7fbc8e6cbd188
11204,https://github.com/cran/HybridMC,swh:1:snp:ca4110daaf7f005d21d9134863a36fac8c3db5ec
11206,https://github.com/cran/iDynoR,swh:1:snp:b6fe8975bd133249768e60e5a20624f9c25394d6
15464,https://github.com/cran/robustloggamma,swh:1:snp:c945aed6f108395fd347e805fc6137170652ceb7
15468,https://github.com/cran/asremlPlus,swh:1:snp:92ceafddae6994fb7589c18488ea8448282fe670
15469,https://github.com/cran/FatTailsR,swh:1:snp:403bbf535dec0730247b18afdbfb293b9f2fba33
15471,https://github.com/cran/genderizeR,swh:1:snp:c1a104b907b24fbefbd97802c1703c5d2fa680c7
15486,https://github.com/cran/MFHD,swh:1:snp:c92189caed0e88ed09c476f6e1672bfe02b1ed75
15491,https://github.com/fchollet/keras,swh:1:snp:b92e89fec3d877926988ff3c7885a44d2efa960e
15496,https://github.com/cran/spatialEco,swh:1:snp:851e2a6661d8dc995e371822a602754232c8e3e8
15497,https://github.com/cran/vmsbase,swh:1:snp:4fb31d24753f722e0e5ddaf06013514b083f4495
15500,https://github.com/cran/dplRCon,swh:1:snp:316f7140cc097dcc3d6c3ffaf6120c41c421474d
15506,https://github.com/cran/mosaic,swh:1:snp:dbf78f4b016028f400f9834a3781f994f524895c
15508,https://github.com/cran/TDA,swh:1:snp:e92de736b6473a66b4e5ff3bbd059c4db6656620
15510,https://github.com/cran/AdaptGauss,swh:1:snp:868859c30a20f729fdcee6a9568828c85f432da8
15511,https://github.com/cran/AmostraBrasil,swh:1:snp:faf2ec2d45ea7b66d62b29ab325a6358bb12dd62
15559,https://github.com/cran/covr,swh:1:snp:a4f8fe069f3ea9672c4cc792a2f943afd36e5938
15566,https://github.com/b45ch1/pycppad,swh:1:snp:b4bc033b913549ce92c18e9692036adf41ae1705
15567,https://github.com/b45ch1/pyadolc,swh:1:snp:a2e5885113700fd7faf78f3ec1ee20f7e3ac7bd4
15569,https://github.com/cran/rPython,swh:1:snp:2299c0575edd934548cc0bf04f6b78e1c0def4e8
15572,https://github.com/cran/V8,swh:1:snp:7fe7b74c1b378536d674fa3a3cfe5986f7ca1611
15573,https://github.com/cran/jsonlite,swh:1:snp:5af866374f455abd6ba00478c9804d6ba4c2bae0
15575,https://github.com/cran/roxygen2,swh:1:snp:3f55f29699033625733a10195e818d3b69eca67b
15578,https://github.com/plotly/plotly.py,swh:1:snp:0a1e24ba15979583537a878c99ca6078ab1dd6de
15585,https://github.com/cran/polmineR,swh:1:snp:7cdbd014793ac76c9f44ea4ed2dc7f03e6430e9f
15586,https://github.com/cran/StanHeaders,swh:1:snp:7c728b1aecf6cdd9dcd84d2e864798bb9d520675
15587,https://github.com/cran/unfoldr,swh:1:snp:cef7acccc6d2321948db77b7c5b00eb53f9fd167
15588,https://github.com/cran/copBasic,swh:1:snp:4981aef862cb3a32cda7cb812a36851b98168e90
15591,https://github.com/cran/heatmaply,swh:1:snp:84da29e5a3b4797e996d01aaf942219ab7f5ce6a
15592,https://github.com/cran/eVenn,swh:1:snp:8853e08a130f9499f32deaacad4b07fe6f5d6ff1
15593,https://github.com/cran/icenReg,swh:1:snp:37669984e2b70c2765bb3897249138c3ff3ee601
15598,https://github.com/cran/berryFunctions,swh:1:snp:fe76eb96335fedae45583f012d22e4d874f6ed1b
15601,https://github.com/JuliaInv/jInv.jl,swh:1:snp:2c925a5d06b4e27f9a45f4cd9d1fef4ae0a56b7c
15605,https://github.com/cran/AnalyzeTS,swh:1:snp:a5184ecbcd38c675c7edc7498755513c0466e404
15609,https://github.com/cran/rstanarm,swh:1:snp:8a6367f5db985205664451530a6d174762a8b6cd
15610,https://github.com/cran/SPEDInstabR,swh:1:snp:f6d1c5210ca4a200cbeeb1367c50e7fba0c2fe0a
15612,https://github.com/cran/preprocomb,swh:1:snp:e1f26e5e5552bc43fc353dff208e0450ed9e9fb8
15615,https://github.com/cran/ACCLMA,swh:1:snp:d6cbaee14801e5d0e535dfa8478fde66238f5971
15641,https://github.com/jfromentin/nsgtree,swh:1:snp:2e656280b3966fcb7644074c7c2daf526aeee276
15648,https://github.com/cran/mkin,swh:1:snp:cb40694f47496cf811cb07e54a69ba5824655c1e
15649,https://github.com/cran/simmer,swh:1:snp:23e3c9b96dc401ff799889795ebb4f5fb3241567
15651,https://github.com/vlfeat/matconvnet,swh:1:snp:8475d61d51600797fc3535675d721fce921401fd
15659,https://github.com/cran/gglogo,swh:1:snp:7bbfed9ce5268dfb2a78296d186a0db4cf3a5cba
15662,https://github.com/cran/metaMix,swh:1:snp:82e6ce0d4c63158ad44be9999278cf665ce13d61
15676,https://github.com/cran/DeLorean,swh:1:snp:19a66cd3c2211dce6a04f3cdd54a980ca15e6d01
15678,https://github.com/cran/rgbif,swh:1:snp:a756c0d8826a01dddb426082edc711dcd5c57698
15691,https://github.com/cran/metaheur,swh:1:snp:bb3dac431db92a32be11b399bce27ff49a048103
15692,https://github.com/cran/nomadlist,swh:1:snp:93dfccaee2b66ce41375c0138fa2122393e870fa
15694,https://github.com/cran/bibliospec,swh:1:snp:74c2069e77cdfcdd033d63f49fe71123a3a6aff4
19693,https://github.com/b45ch1/pyadolc,swh:1:snp:a2e5885113700fd7faf78f3ec1ee20f7e3ac7bd4
31427,https://github.com/cran/stepp,swh:1:snp:5e760e444b3693391cf43b6fec478076eb9026f4
31661,https://github.com/shenlab-sinai/diffreps,swh:1:snp:7c6850a0c7f3a607bb44f8532fe3437fa7c6241f
31663,https://github.com/cran/ssa,swh:1:snp:537e678a417a110f9ae931e10e80be41b160f66a
31666,https://github.com/HFarah/KEYRANKER-2017,swh:1:snp:746efd6b5f85bfa9bea420484152cd67a8ab788d
31668,https://github.com/lgalarra/vickey,swh:1:snp:68a2141a6ff231f518272c602cdb9c4b4460ed5d
32959,https://github.com/Kronrod-Extensions-Library/kes,swh:1:snp:aee6b6db5cc78a9dfa854d50a0ba8c437e5a1361
32963,https://github.com/nicolaprezza/get-git-revisions,swh:1:snp:d346cf9ccc9efa78b8f84928bd7b0b2386783070
32965,https://github.com/nasa/PrognosticsModelLibrary,swh:1:snp:6be82d7e459509001e7ed7cd226236dde43efbc8
33183,https://github.com/havakv/pycox,swh:1:snp:7bab99f1457c3511516ad9344f924ab5db0436a3
33207,https://github.com/loftytopping/PyBox,swh:1:snp:4c98439ed59f35ff9a41363327d82607ee145889
33834,https://github.com/Oshlack/splatter,swh:1:snp:f3f722fca844fcf955e4ea063f087af4ddb7de98
34569,https://github.com/htzhaoecust/glsnn,swh:1:snp:1c061603afa2322e346699d4c5afa645a44e4af8
34577,https://github.com/EMMA-Group/ConcentricInterpolation,swh:1:snp:06f03cc9a285eafc183ba798363bdd10ae715cbe
35878,https://github.com/cran/oolong,swh:1:snp:3aca56b2fd6093c8736b587828797eb94ed0bd92
38612,https://github.com/JuliaInv/jInv.jl,swh:1:snp:2c925a5d06b4e27f9a45f4cd9d1fef4ae0a56b7c
39623,https://github.com/plotly/plotly.py,swh:1:snp:0a1e24ba15979583537a878c99ca6078ab1dd6de
15945,https://github.com/cran/sirt,swh:1:snp:d89815d670eb97114a3c070c9ede733b437f2b96
15949,https://github.com/cran/HelpersMG,swh:1:snp:35094fff6645904a7c39c54aa552346cad766382
15955,https://github.com/cran/accrual,swh:1:snp:03a917212265301aa89ac021689c88ea9f659480
15961,https://github.com/cran/crmPack,swh:1:snp:b2af8cd8e842c04d6044be3894f327f977703253
15962,https://github.com/cran/h5,swh:1:snp:b10cf6a252c9aadc12ed4ae40e4a710eaf25f682
15965,https://github.com/cran/cchs,swh:1:snp:6bad76f56806eff5930c5216d61f8ad7be767ce8
15966,https://github.com/cran/ChemoSpec,swh:1:snp:3990c7612d74c43d26db69c8bb199d4ab561eaef
15967,https://github.com/cran/cobalt,swh:1:snp:404abf1e2f925634b0f1cb18e6abd91416fe9526
15969,https://github.com/cran/humarray,swh:1:snp:7d0352fc54528e30085935922b849f07b26b4cad
15970,https://github.com/cran/modEvA,swh:1:snp:c85f95c5a909ffc36a2b489b6886782320854d61
15973,https://github.com/cran/vegdata,swh:1:snp:ac7dfd2f1d3ac7f3c46bf3b86c87fdd06ccadd31
15976,https://github.com/cran/ctmcmove,swh:1:snp:41d6a5b48ebc2fd9498190de327e4ecc727d19c4
15980,https://github.com/cran/mvst,swh:1:snp:76a3c7906af3549718523f3dfd4366d9ac2b3541
15985,https://github.com/cran/TilePlot,swh:1:snp:aa964125d82ee4ee93a1d1a8d8208e014a16b531
15990,https://github.com/cran/AutoModel,swh:1:snp:4713c719760fd5d208cd60a1c7eb13e1ab511c25
15998,https://github.com/dharmatech/Symbolism,swh:1:snp:e8990746aaeaab7cbd9847369921365d20d57bdd
15999,https://github.com/symengine/symengine,swh:1:snp:1510d466c7afaa5d95ec0c2c686e4329243149f1
16001,https://github.com/cran/IPtoCountry,swh:1:snp:6932e5a354a0af984727eef857b8aa686bcfd0be
16003,https://github.com/cran/rplos,swh:1:snp:290d5fadf06c3f3e5641e4c1fc0dd076ec0c0d06
16004,https://github.com/cran/fasteraster,swh:1:snp:674050b5a2372330c47d16295685115f605af0c1
16005,https://github.com/cran/magclass,swh:1:snp:5f28e44b9607cac8477ee27a19ccae7d7337a8ff
16012,https://github.com/cran/lmms,swh:1:snp:33de6918b6b50e65a5ee89d2a7e064c20122e794
16013,https://github.com/cran/SVMMatch,swh:1:snp:e84d43bba5a4363785a8f8a338934859020ca65d
16016,https://github.com/cran/VNM,swh:1:snp:1b89982537edfce2c33807fa00c0398cd92aa072
16028,https://github.com/ga-explorer/GMac,swh:1:snp:e580da7990bcc682677026bebd7ac3bb4544e0c7
16048,https://github.com/cran/bibliometrix,swh:1:snp:c896f06794a7c9a292f2e2de8429e9d66e5e5093
16049,https://github.com/cran/placement,swh:1:snp:2912455edb31c9861a2d4fd144e2a444ed6a32c1
16052,https://github.com/cran/dataRetrieval,swh:1:snp:5285b5a8fd0aac99497e8449086a30222f4af560
16053,https://github.com/cran/ddalpha,swh:1:snp:b2ee95645a06b6440d88fc04eaddd9a2009d2a9e
16054,https://github.com/cran/etl,swh:1:snp:6fcc862fa66909b7a6a8891f8e1e892991168d43
16055,https://github.com/cran/georob,swh:1:snp:862607ee9d76df044ded1f490603e714726dc11f
32292,https://github.com/cran/cghFLasso,swh:1:snp:20980f522dcefd5d5bf327ad9a43afd498f7d861
32294,https://github.com/qucontrol/krotov,swh:1:snp:53f14a15de8acc186164b6b595165974cbb47e9f
32296,https://github.com/cran/fftw,swh:1:snp:eb626eb980c783db5a1817ec609dc477be3288a1
32297,https://github.com/cran/TRIANG,swh:1:snp:5240fcf45b90466fc36ed958919bc8b74833c27d
32300,https://github.com/robwalton/mason,swh:1:snp:4535da5f570ff0a5293ebbd7ac9d52b34c6bc4ab
32301,https://github.com/yufengwudcs/STELLS2,swh:1:snp:39a43b50baa8e42bacaf49478266976594d3cb58
32302,https://github.com/NREL/SolarPILOT,swh:1:snp:71f05d1045fad99317a31b5c5b95cc66e6ccee88
32305,https://github.com/westes/flex,swh:1:snp:159e6171f5b4a909b6b842a0800776949a55dbfe
32306,https://github.com/jasonjli/bddtab,swh:1:snp:0c2e89524836a0cd1eb9641439e6293921387b96
32314,https://github.com/ejgallego/coq-serapi,swh:1:snp:acae034a4293f48565c4c9e81a4446e77ddae455
32325,https://github.com/pernas/Z4Codes,swh:1:snp:ade95eeac18a345e966f0c2e2ff5142629fc4b69
32326,https://github.com/cran/dynamo,swh:1:snp:463164f1d1a95d1197c6dac5abfd6c7e142c1856
32330,https://github.com/fepegar/torchio,swh:1:snp:8dd1c02e738e11b54bab31460356ef673bdb9f66
32331,https://github.com/nipy/nibabel,swh:1:snp:e9629b8b662525fe5a35dd21a194a4f341f48a70
32332,https://github.com/NifTK/NiftyNet,swh:1:snp:db3036ec20bb63ee665243115d96b3ae937aec85
32333,https://github.com/MIC-DKFZ/batchgenerators,swh:1:snp:d1c6c3a840715deeb7e773b5a62c8280ae37eada
32334,https://github.com/aleju/imgaug,swh:1:snp:35188bdfa461d6f6540ace05b598292127a6b075
32336,https://github.com/perone/medicaltorch,swh:1:snp:bd685cd4fe3c60ee8d069223057d0684031b5ffb
32337,https://github.com/DLTK/DLTK,swh:1:snp:04e305cd632d15f6680cc0f74d52c7a3c0028114
32338,https://github.com/albumentations-team/albumentations,swh:1:snp:8ae4484639b9b9565e760c9603807656c2d33172
32340,https://github.com/benedekrozemberczki/graph2vec,swh:1:snp:b155e04763cc03789c901a21caad272a0d4d82e2
32341,https://github.com/xgfs/NetLSD,swh:1:snp:defb96ce84979fbc6902614bd62de480c700425c
32342,https://github.com/benedekrozemberczki/GraRep,swh:1:snp:16a9a75efa1a32b8311820d29c6756ba3e3b4e3b
32344,https://github.com/daokunzhang/SINE,swh:1:snp:d1b2432352c16de488c7f2a7812c356ff9a6b218
32346,https://github.com/eXascaleInfolab/NodeSketch,swh:1:snp:28c48cfea7e539e8694c05e958662b0c34e237af
32347,https://github.com/sambaranban/FSCNMF,swh:1:snp:91cfc4bcb900989798c11c708143e5a8760f7e2e
32348,https://github.com/stanfordnlp/stanza,swh:1:snp:b62a88b01b0e1abd726c89b6ce18e3d360afd9c5
32349,https://github.com/CoNLL-UD-2018/UDPipe-Future,swh:1:snp:930d02bde6e092107cbce543c3b42d07a70d6761
32352,https://github.com/tdhock/PeakSeg-paper,swh:1:snp:d353afb733aeece764c5822b9348cbd680021c20
32356,https://github.com/nikdon/pyEntropy,swh:1:snp:54b90185ef866d2540f00b0ae394d0b82a71197e
32357,https://github.com/CSchoel/nolds,swh:1:snp:9316e29e5bed76a48f1aabc8794d9b474636fd35
32359,https://github.com/tammet/gkc,swh:1:snp:c9d692933eab338e1832dbd46a72d77236f33153
32360,https://github.com/tammet/whitedb-website,swh:1:snp:3fb6a0636b16c1927dbd4ae2659b3a1b6fed4d46
32362,https://github.com/lethe-cfd/lethe,swh:1:snp:a9e477ee0d1bda8a8e0bf591410874cea81ebe32
32401,https://github.com/cran/tram,swh:1:snp:d8d6905f66a27e9f113e105f6c0fe7052966af86
32450,https://github.com/jmikko/EasyMKL,swh:1:snp:7900a1e54b8e0e06d2ff22cafd9874adb8db6fe6
32451,https://github.com/PhilBoileau/scPCA,swh:1:snp:3aa01c7b323f53f869c811285da63cf8e3405e44
32452,https://github.com/drisso/SingleCellExperiment,swh:1:snp:47b89ee32661db78d81b9b4737be0998ec6d71ec
32454,https://github.com/odegym/neurodiffeq,swh:1:snp:d77977aed9b1f9593d454b05369def630fe1b6f3
32455,https://github.com/analysiscenter/pydens,swh:1:snp:6f1f3d2a5579a044525c1d5edc2ef5737bce5098
32456,https://github.com/lululxvi/deepxde,swh:1:snp:c8d214fdd11249c6f6972166fde450ac5325470e
32458,https://github.com/aebergl/MatSurv,swh:1:snp:c911e838dc39c3a774b6261693486caf4532a94c
32461,https://github.com/NorskRegnesentral/shapr,swh:1:snp:9a3e790f8ddb0bed6da0bbea6a64b1fc378f575d
32674,https://github.com/ElsevierSoftwareX/SOFTX-D-15-00067,swh:1:snp:aeebf663079bf99bf9beabda6ba209d7c6258e40
32884,https://github.com/DSE-MSU/DeepRobust,swh:1:snp:095a19ecfbfa461c88c1b7f9d225fee1dbd05307
32885,https://github.com/BorealisAI/advertorch,swh:1:snp:631512f8fc647113880d3853560ab0d3582f4fb3
32886,https://github.com/Cold-Winter/Nattack,swh:1:snp:12d03511241951785449e9dd59e338f6f0c0be95
32887,https://github.com/PyRetri/PyRetri,swh:1:snp:f0d867527df52b8f88960609469295b9fae97d7b
32893,https://github.com/layumi/Person_reID_baseline_pytorch,swh:1:snp:f698bb0d7169a6728f548682bbac22dbeb0c2437
32894,https://github.com/rbgirshick/yacs,swh:1:snp:ccb4f23c4a9a785401c7354c6c2dae023fdca538
32898,https://github.com/bottler/iisignature,swh:1:snp:6091097e6892c3c5228a7959fc1870ff9f8839ea
32903,https://gitlab.com/stochastic-control/StOpt,swh:1:snp:773469592e1a75a0f83363e37c28a01c6a348335
32904,https://github.com/zaspel/hmglib,swh:1:snp:4db00931c05937232fae77277dc141112f1c5948
32905,https://github.com/akka/akka,swh:1:snp:765b866be573a54d1e31a7c31cb8b92f340a8a3a
32906,https://github.com/pnlnum/pnl,swh:1:snp:4b2ecb02bf9e072a77bf6738977e18c83417c467
32912,https://github.com/Arash-codedev/openGA,swh:1:snp:ebace5c83c8baa5a66e1f46b77d3cfac1d80aa92
32913,https://github.com/TeamCohen/TensorLog,swh:1:snp:2df4db5048716832cd8e9ed3473c053de1741427
32915,https://github.com/TeamCohen/ProPPR,swh:1:snp:0212062f67a8060a2b4e2645ffbd8c99f02f7403
32916,https://github.com/jestarling/tsbart,swh:1:snp:89abd520f1587c23ad814f24d6aeafbae111a7ca
32923,https://github.com/AcrossV/Gated-XNOR,swh:1:snp:f5ee2e4e5d0bddb14e986bdf01c70b6111101fd1
32928,https://github.com/mebassett/ncg-dehrahm-finitefield,swh:1:snp:eb3e6bb05e191c3f7cf55100aea999e715d02deb
32938,https://github.com/mlivesu/cinolib,swh:1:snp:d5e6cf99de5c2161edf8fac21bda2929a6ded2e4
32943,https://github.com/adw96/DivNet,swh:1:snp:6146d76776687417d8050d955f3e2b9120de15ec
32948,https://github.com/ioam/topographica,swh:1:snp:e9664c7ffd532b1f369cc86683742387b54a06c9
32950,https://github.com/alexeyignatiev/mkplot,swh:1:snp:9b9ecf6226de94183f235253ea0917f629467faf
32951,https://github.com/quanchaoyu/MolSurfComp,swh:1:snp:1c92c20cfbb335f3c3bda33ddddf4b3551b96401
32953,https://github.com/bilman/rogue-waves,swh:1:snp:b7bdf779a6064d92b7b27d303727601ce6f7d6da
32957,https://github.com/VOFTracking/Vofi,swh:1:snp:849aedcde5a994b257dc0f6acdf22f067e273c20
32958,https://github.com/evaleev/libint,swh:1:snp:860e981fd72de31e7e4514c3d007faeb1a736d31
43974,https://github.com/KAIST-VCLAB/texturefusion,swh:1:snp:7aae497049f04864913d427d6d468b8479619e56
43966,https://github.com/rozyangno/sce,swh:1:snp:fe54a06cf690810a7e99fc4db30efee6899ac635
43959,https://github.com/forestry-labs/causalToolbox,swh:1:snp:d5d5f2da9405a7079ebd9d3ef06754a293dbaf95
43955,https://github.com/sxyu/pixel-nerf,swh:1:snp:623c479fa636834ec3e237996728538e8fbd51b9
43954,https://github.com/sxyu/volrend,swh:1:snp:174550a53035653029b0775fa643fbf392169468
43951,https://github.com/Kai-46/PhySG,swh:1:snp:6db162e080ab73e9ae4805da1cbec96a573548ef
43902,https://github.com/vvflow/vvflow,swh:1:snp:f066baa2cab78404fa0f75fe408ade1625faa6ed
43895,https://www.github.com/V3du4rd0/AMCF,swh:1:snp:b00d55ac7eee4c92ccaad6f9310ac9fc4db86bfe
43889,https://github.com/EdisonLeeeee/GraphGallery,swh:1:snp:488ba0ee1c5a80602728efdd45f8d93af665869b
43869,https://gitlab.com/ita-ml/pyispace,swh:1:snp:d01057e7c4e59675cab24b21ffe32f7d602ade55
43861,https://github.com/eschnett/Delaunay.jl,swh:1:snp:f7c6546c26801f511806c97212859fdf48c63e4b
43860,https://github.com/ChrisFuelOR/NCNBD.jl,swh:1:snp:56a05f28fd1ad495b6a8410d6eea88909f4e2ef5
43848,https://github.com/stefanSCS/SHYqp,swh:1:snp:4bab3f4a205293cb8b759bc9b54de7483d3050d6
42252,https://github.com/ryanzhumich/editsql,swh:1:snp:5ab0cc7cb064390f7181333af26a088a00f99ca5
42251,https://github.com/microsoft/DialoGPT,swh:1:snp:e45f859f4a9ce167b5f6be787323302d6535e9fe
42249,https://github.com/isadofschi/smallcancellation,swh:1:snp:3a7f33e4e816d7451e5b4d41a85e1225094b4caf
42248,https://github.com/ClearTK/cleartk,swh:1:snp:278aa84f96f3eb52bc3846b63de14ec0b76bdcb6
42247,https://github.com/allenai/scibert,swh:1:snp:bbc3cf915b492b06caf16795842ef487388e864a
42246,https://github.com/ProsusAI/finBERT,swh:1:snp:5d4ce22493f917bfb1f623417c9f71f80579e93d
42241,https://github.com/qrebjock/fanok,swh:1:snp:5e917b07efe0c0eac2c7151ecf21ac9c1cd1f47f
42238,https://github.com/ericagol/NbodyGradient.jl,swh:1:snp:32806a7199933926ee985057d1bb6ecc41c6404f
42237,https://github.com/kdeck/TTVFast,swh:1:snp:90a30e8df82bed7da6898f4884e385c6d093e56d
42227,https://github.com/DennisBeest/CoRF,swh:1:snp:4bf90b3865d8a9ca90bc2d2925ec92f2918808f3
42218,https://github.com/yonesuke/DenseSync,swh:1:snp:24fbe6da29b75f7c81ed4580f7e655239312abbd
42217,https://github.com/nvictus/Gillespie,swh:1:snp:597c063eb783c4682fd2757ba9199da8c2b6f199
42205,https://github.com/risilab/cormorant,swh:1:snp:6fa5172b52b123fbc24d6cf2179570fbe522c06a
42202,https://github.com/lgsvl/simulator,swh:1:snp:a49047e7064b649b1880701be8ac20143298271e
42201,https://github.com/SampleSizeShop/rPowerlib,swh:1:snp:8bfb4b4b344d4855139ff26b4ad1d06e7faac4c4
42193,https://github.com/google/rappor,swh:1:snp:7549f82a77a87256e3691e93f9ad8365d1191ff0
42186,https://github.com/BIRL/ATLANTIS,swh:1:snp:db513e1af86bcf49e727ee9a4c2c91fa71854cc4
42184,https://github.com/RizaXudayi/VarNet,swh:1:snp:348dacae2a73bf019c7a967fb45cf73cc5fbbf59
42176,https://github.com/aimukhin/minfft,swh:1:snp:2fb4bf79143d7fee001fe03713b7c11f9fdbe84f
42174,https://github.com/andrew12678/ShiftConvolvePoibin,swh:1:snp:2fbeb1db433d93e8adda1f36494f3cff4388114a
42171,https://github.com/MPMC-Lab/PaScaL_TDMA,swh:1:snp:3b6580aa1fc6191094f69ecfec6b306e7b147a1b
42168,https://github.com/oradules/LNetReduce,swh:1:snp:5c21688087fd56b459ef84651a96835a79240cd0
42167,https://github.com/BlackHolePerturbationToolkit/QuasiNormalModes,swh:1:snp:397ab0cd159b07ceca774fef6ee4f30a5f9e9427
42165,https://github.com/GeoStat-Framework/ogs5py,swh:1:snp:661232f3ce00daf7ae96db77119ff38edbd23e4b
42150,https://github.com/lmaurits/BEASTling,swh:1:snp:cad4de1e0005b78196d329e5dfd8e822c46cdbd7
42141,https://github.com/ranqiu92/NumNet,swh:1:snp:e2125d89b8058bbe6985f3f6268e7d84d264079d
42139,https://github.com/microsoft/MASS,swh:1:snp:6b71764ca6db0307d4b169b0c815cfb4a76cbc74
42135,https://github.com/openai/gpt-3,swh:1:snp:59432d25e7c83149714ada6dfe6e401be80914de
42131,https://github.com/cran/prLogistic,swh:1:snp:27e1a016ba245bf099ee03604c1d40820655a745
42129,https://github.com/msperlin/GetHFData,swh:1:snp:21199dd2b100da963d7a4fc358bee16e538d3259
42125,https://github.com/PRML/PRMLT,swh:1:snp:53186c6b8a01a17d7c45cbb309c6d63c39507b13
42124,https://github.com/higham/logsumexp-softmax-tests,swh:1:snp:4f9aa282b24ff74673c0272b4b729141e63e6641
42120,https://github.com/google-research/pegasus,swh:1:snp:9cd4dc8b30b135b37569a5314aa0137b923b217c
42119,https://github.com/peterwestuw/BottleSum,swh:1:snp:8162342a610dd9836afc9f62a27242e1c938c2a9
42118,https://github.com/InitialBug/BiSET,swh:1:snp:6cf6af6c45c4c303b6ada3c33eb32805abaa61d2
42115,https://github.com/sheffieldnlp/highres,swh:1:snp:9ab95f44c2fbbecdae1eabcb711817b4fbb3bf0a
42112,https://github.com/YueDongCS/BanditSum,swh:1:snp:63fdfbb98f1eeb3717cae636fea00ba49a2b0f4c
42105,https://github.com/ACIL-Group/NuART-Py,swh:1:snp:35a1fa68738e8cfc92baf2fc0497e15d7780c7e9
42100,https://github.com/PhilippPro/tunability,swh:1:snp:43dd4a108410c999a1322483c83e4c7f515940c0
42098,https://github.com/Sage-Bionetworks/mPower,swh:1:snp:704b5e9c6796392b70ba6aecbab0df49fd0e6be7
42097,https://github.com/jonascrevecoeur/hirem,swh:1:snp:9711fed6b6775234b3b9929fdd956af17934ab03
42093,https://github.com/lululxvi/deeponet,swh:1:snp:bbdba1d869b72f7f4750aae7841445b4569917e4
42081,https://github.com/snousias/avatree,swh:1:snp:d7cf24bd27db3d49b54301c110385539d30a3371
42080,https://github.com/mohamed82008/Preconditioners.jl,swh:1:snp:ba3667412abd9fb6fc87ccc40763befb24123a45
42077,https://github.com/airaria/TextBrewer,swh:1:snp:70f648e10d1734f6cb2afeed8a42ac3c92899b4b
42073,https://github.com/cran/mpcmp,swh:1:snp:5855f361e988c9eb0f992716f3b5c9b41ea59e1a
42071,https://github.com/dengwirda/inpoly,swh:1:snp:4f7819f3bf78bdfda20e35019273209fc195494d
42070,https://github.com/shibiaowan/SHARP,swh:1:snp:1053aae51552e8c4dc31db36347e86cd0183d95e
42064,https://github.com/lunz-s/DeepAdverserialRegulariser,swh:1:snp:bd4dbaad21193955ead99c598bbb1a5b5fbbae67
42061,https://github.com/safpla/AutoLossRelease,swh:1:snp:355af4e6e172799224cc450aa87636763306f77d
42058,https://github.com/PredictiveIntelligenceLab/PINNsNTK,swh:1:snp:bb63dd166489382261a27790dd5f4a4c32ad75b0
42054,https://github.com/alan-turing-institute/stat-fem,swh:1:snp:b36312e64a4dc036b99bba8907e725178c754873
42053,https://github.com/rbharali/IGAFrac,swh:1:snp:f9efcdd8245b898f0749382cf93d230da07c6fdd
42049,https://github.com/jian94/GSDAR,swh:1:snp:7ee811cc8526d5d2168e450b98e12a6b51fc7a8c
42039,https://github.com/ispyb/EXI,swh:1:snp:22ac8f1c33a8e7f0ca05d08c88477e4cb8ce5736
42029,https://github.com/uglymol/uglymol,swh:1:snp:c267f2c0add13e736914241f6f4033c806109108
42021,https://github.com/thejackal360/OpenPelt-Public,swh:1:snp:cc9035fc7e01f94ac99adb7f6e4b3e554b7828fe
42018,https://github.com/johnabel/gillespy,swh:1:snp:939976eba12b4374040ffb24827947482262873d
42000,https://github.com/mesoscale/mmsp,swh:1:snp:e9814316ded7cf7edd0a32f12c4556d12a3312c7
41982,https://github.com/soyoungryu/BacID,swh:1:snp:29a7a24d35ffd7b26af88a492276fe29cd71df5f
41981,https://github.com/hank-nguyen/MBT-optimizer,swh:1:snp:7e238a289b320e64f54f7b60a173be8e9a442e76
41968,https://github.com/cran/ZIBBSeqDiscovery,swh:1:snp:1a294530fe9507a88fa28164f203c9a0b1d07734
41964,https://github.com/cran/ziphsmm,swh:1:snp:1a807e597839da95a52938f1999881e428a70477
41957,https://github.com/cran/Bmix,swh:1:snp:2d0e880ee99efb9ef519b51a1c8fa7d526d33c17
41954,https://github.com/mtrenti/NBODY6,swh:1:snp:fed9ffb013e8ef7ffb5efcce885e8bb9aabd090a
41938,https://github.com/mikelove/DESeq2,swh:1:snp:94995607ea9602556e9108a78eda0efb8307b28c
41936,https://github.com/StevenWingett/FastQ-Screen,swh:1:snp:e8acecbdb0d016e4a8e76db27bd3c9b98eadf66d
41935,https://github.com/barafundle/poisson,swh:1:snp:d42fd42be55de054946473bb85643d35f505f5ed
41932,https://github.com/auckland-cosmo/PyUltraLight,swh:1:snp:7edc595169a105abea823c6899098d66c1e92ac0
41931,https://github.com/EdgarFigueiras/QMBlender,swh:1:snp:800170035ffcada47b6e5d7f292928b838d0056e
41930,https://github.com/ComplexOrganizationOfLivingMatter/Epigraph,swh:1:snp:0b0deed4a3fc51302d3d89b095bcc84d3040d6b8
41929,https://github.com/NeuromorphicProcessorProject/snn_toolbox,swh:1:snp:ea4ee4ddfe8a1436a5a297eb562384e302ff91db
41928,https://github.com/ZhangZhaomin/SEFRON_python,swh:1:snp:2fc9c900c0148f29222b1406c6b82751ebc780d0
41927,https://github.com/Goodsea/BreastNet,swh:1:snp:80388e188953c872f5099ec06725bdd4e98610a7
41918,https://github.com/ysw-sunshine/UPFPSR,swh:1:snp:021948ac57abff54cac4c518760dceeef266c5af
41914,https://github.com/jellyfysh/BigBoro,swh:1:snp:7667a9b944c47e7dc47f1a16f9cc62a76f027b21
41912,https://github.com/gegewen/ccsnet_v1.0,swh:1:snp:2bd919ace80eb67c14c94b9f1e05b6a7791c3404
41908,https://github.com/PhysicsofFluids/AFiD,swh:1:snp:390110ff177422ae2b69c6ebb721f9b1853685ea
41900,https://github.com/docwza/woa,swh:1:snp:e584ae79173eb78f3434d1746004384951bf2069
41899,https://github.com/afshinfaramarzi/Marine-Predators-Algorithm,swh:1:snp:cf4b2114055fbf4959560706cd14a2cfed1108b8
41896,https://github.com/matthiaskoenig/sbmlsim,swh:1:snp:47aad69c3998792a9f32da21271d5aa1b3e6d591
41893,https://github.com/yzhao062/LSCP,swh:1:snp:7e9b44a9dacd12f98d9799ddc8504c97e185e44e
41892,https://github.com/yzhao062/XGBOD,swh:1:snp:d28aadcac0538c1f91e7a832ec06a5a5a655f2fc
41890,https://github.com/radlab/sparrow,swh:1:snp:977fb8edf54e61cc50e48fa06e57a45e45e84ca0
41889,https://github.com/winstonll/COPOD,swh:1:snp:280bf85367b7ce5abd5ae6e6b8fed40da97e9ed6
41884,https://github.com/datamllab/tods,swh:1:snp:833e5fc44b204bb7e0356b23bc41907d23758d67
41879,https://github.com/SCIInstitute/UncertainSCI/,swh:1:snp:4961b393ef43ad92a670f34a12179226bc4c0b3b
45204,https://gitlab.com/datafold-dev/datafold/,swh:1:snp:895e73bdf908df42828823b9dcca2d7fb679d6c0
45202,https://github.com/bahjat-kawar/snips_torch,swh:1:snp:9b647bc0dce43ee444393a373c0d28c129200b39
45195,https://github.com/HPAC/CP-CALS,swh:1:snp:3099a7b0a73065d947375af2dac55cc19ee64287
45191,https://github.com/dkaramit/NSCpp,swh:1:snp:378fbf3dee5ab03cf31d3cd1d7657cfdf45c1855
45186,https://github.com/taklab-org/GC-ubs-CAP,swh:1:snp:48545e298530321b8eff3d954c75a5ac028fa652
45170,https://github.com/ANSSI-FR/ASCAD,swh:1:snp:02d1b6225ffc056a90ba3cef3860b20f0b0bc377
45158,https://gitlab.com/mlrep/mldev,swh:1:snp:2f3629afd76fa4f6eb7b767f43a1f1dcfb81d031
43925,https://github.com/niessner/BundleFusion,swh:1:snp:a7e7b1bb3b99cbb1613b1c6cfb2738f829cd5dc4
43924,https://github.com/clausmichele/ViDeNN,swh:1:snp:3e3204a1c076897fc4763b19d879c63c69e5d86c
43923,https://github.com/JingchunCheng/SegFlow,swh:1:snp:cc1ea3d4b84f21e318a88ca85a1c0c9f32374984
43920,https://github.com/kbatsos/RecResNet,swh:1:snp:988a2ecf89fafb2bd165f95c4b6ec8740edb41c2
43916,https://github.com/brownvc/matryodshka,swh:1:snp:b0c7ab1735db3c8645ca2907bfe1effa0cedbab5
43910,https://github.com/ERATOMMSD/qcl_tap_2021,swh:1:snp:3877820fd7522a8c7c9a02ed9fbf4431fc915326
43908,https://github.com/ianhyland/Protege-TS,swh:1:snp:0f0359855d733280996f12733c10480603a238db
43896,https://github.com/lip6/cosy,swh:1:snp:988d68531afcb8df81b4b8050b12acb7f94d9356
43892,https://github.com/kengz/SLM-Lab,swh:1:snp:e9cc4edcacaaf18eec629105b10d12ae87c23072
43890,https://github.com/jaberkow/WaveRL,swh:1:snp:fbcab8b1c92d8d020e43b87d0e59963a36646af3
43888,https://github.com/MrNuggelz/sklearn-lvq,swh:1:snp:b81e28516f9b35a0f80d9fb92d9833b66a287960
43887,https://github.com/JonStargaryen/gmlvq,swh:1:snp:ffbc3b2cd81af5a292f9201d6c8cb12c60864cad
43879,https://github.com/costa-group/iRankFinder,swh:1:snp:9b15c940428f0072e460a2797d327b04e878513b
43878,https://github.com/klb2/qmkpy-datasets,swh:1:snp:efd6accef68862c3c30e8c799984f1a4d96d780a
43866,https://github.com/google-research/simclr,swh:1:snp:24170359a9f0b2f3c232e39e1be47f685b8e8aa5
43858,https://github.com/LRydin/MFDFA,swh:1:snp:ee417ce3436b898ed7f6cbe9124c43978c9571fe
43857,https://github.com/dbstein/qfs,swh:1:snp:bfd27af3282cf23ae8c8fa6eb271c78cfe69c294
43851,https://github.com/wangyg19/CMBProbe,swh:1:snp:9bea6cda8269a72113faf86fbacee70fd7a8631a
43849,https://github.com/samorani/MatchingPPE,swh:1:snp:790cbeade01ae1f807db347ca6e264b5d77f137e
43842,https://github.com/nkarasiak/MuseoToolBox,swh:1:snp:f30540b7c9fcafd707192d42e9fd1d871ac6629e
43839,https://github.com/JoseMath/multiregeneration,swh:1:snp:bc7f93499e1bf6d1d65e025fa97fc7936a300fcb
43833,https://github.com/DHQP/SNVPhyl_Nextflow,swh:1:snp:5493498d5f9ea15260de1918d59dc32abfcdc4ef
43829,https://github.com/ICAMS/strucscan,swh:1:snp:c6e3ad576036bf24790890f7e1b3fe46ad6ca9b5
43828,https://github.com/aserg-ufmg/apidiff,swh:1:snp:8eabba038584150f79cd25c73d59bab164aa9372
43825,https://github.com/vdasu/lighter-r,swh:1:snp:6f7206f1d7e1d0eff743d8f981b4280495c1290d
43822,https://github.com/cran/dLagM,swh:1:snp:cfea74638195233e739ad45f2add5cbf42e8b91e
43816,https://github.com/AP6YC/ClusterValidityIndices.jl,swh:1:snp:32be834a20318172551bfe70acf4fa5760f8e10f
43815,https://github.com/hottbox/hottbox,swh:1:snp:0167ed079ba9608c6c1b3366bc522dabd824075f
43814,https://github.com/tensorly/viz,swh:1:snp:3365c2f20d233d4acc1b72041cb3cca274942857
43807,https://github.com/henriquebecker91/GuillotineModels.jl,swh:1:snp:bc8fe2dc646a67a6d02707491bb45bf16fae1d55
43805,https://github.com/jinhuang/hyperx,swh:1:snp:c520d89b1112dfc9719ba52503146127910b7dbe
43800,https://github.com/c4v4/LKH3,swh:1:snp:39582a52d334bcfb5c2f6ec95a03cb3e71137f56
43797,https://github.com/Hokuto496/Decoding_Algorithms_of_monotone_codes_and_azinv_codes,swh:1:snp:db4c613368272f18f9c4c2474ca3cef7dcb1ffda
43793,https://github.com/texm/PReDIC,swh:1:snp:e68c39fa1e89a22ea6a8c178a342a06b6c17558a
43789,https://github.com/Water-End-Use-Dataset-Tools/WEUSEDTO,swh:1:snp:96b11011a60dce3964fbba37afdf537062e0e0ce
43653,https://github.com/fmuni/openHFDIB,swh:1:snp:590ca4570bc1233766564c6f0e5894aeb6a49780
43650,https://github.com/yicjia/DeepQuantreg,swh:1:snp:9b62a196bf8f1fee13f3729fa1de629db8d8a023
43649,https://github.com/geoscience-community-codes/GISMO,swh:1:snp:fc10e67652de784b01c4262c7841f880ebfb33f3
43646,https://github.com/pedrognicolau/ARbiascorrect-v1,swh:1:snp:f59db7c6794f2f86d4e333fb184db65500e15db6
43642,https://github.com/compxco/cql3d,swh:1:snp:2dd76a715f89b2aadb7a28a28a11929948b560ac
43630,https://github.com/digama0/frat,swh:1:snp:a467d80212ac6461a2d2e52eca7ab012bc76629b
43629,https://github.com/bernhard-schmitzer/MultiScaleOT,swh:1:snp:fcce1508ab19f0f01043f4017f12d744195becd0
43628,https://github.com/JuliaOptimalTransport/OptimalTransport.jl,swh:1:snp:0456b8590c0caff4326faf916bd04357ffab0156
43625,https://github.com/ITTcs/fuzzylab,swh:1:snp:982509a4a5274a0869e409455218d579f9467b21
43624,https://github.com/yhtang/OpenRBC,swh:1:snp:95076081b0cf418bbcf333d45e418bf9bb45fbcc
43621,https://github.com/tencent-ailab/tleague_projpage,swh:1:snp:98af13e029fb1e7ec72c7fe51891d80720dcc117
43618,https://github.com/souradeep-111/sherlock,swh:1:snp:23df24fd96f73e653edd2b12d7322bcb0f007a1a
43614,https://github.com/basblsolver/BASBLib,swh:1:snp:71da18d71e5bdabab5ef246825dbb4e165ee9109
43613,https://github.com/basblsolver/home,swh:1:snp:8fe2f8b6b4c58ac1126895f84a0909970a67faae
43612,https://github.com/davidv1992/ONS,swh:1:snp:b502d22e109ac774fc742dc2014ab0260f508634
43606,https://github.com/neulab/wikiasp,swh:1:snp:b515e4fa8c954c2111356bbb7984d0ab852b5270
43605,https://github.com/allenai/SciREX,swh:1:snp:c8346615eef20089b2871c2cf761590183938c3a
43602,https://github.com/EagleW/ReviewRobot,swh:1:snp:2cb44cc55009be8231f193b7ade3ea81401ef423
43601,https://github.com/WING-NUS/scisumm-corpus,swh:1:snp:2fd2f4aa3bde5c3744d3ec8e49a60514c191f82e
43599,https://github.com/neulab/guided_summarization,swh:1:snp:d13427e66f6f8758bea5aa649790ee5dd6d05056
43598,https://github.com/allenai/scitldr,swh:1:snp:bbc37de31dacec9b90a5a557841a0de21e807ff5
43595,https://github.com/pologrp/POLO.jl,swh:1:snp:be173a38877452ab5cd942dae392bd83692fddbe
43594,https://github.com/INFORMSJoC/2020.0287,swh:1:snp:3b537939f866af7504001e4b50d6fb8fd9c49b62
43593,https://github.com/grigorisg9gr/rocgan,swh:1:snp:080e50326213b10e074799f103cdb5a2dc733f05
43587,https://github.com/koopa31/SegSRGAN,swh:1:snp:ede302c2f8be02130246cfdd666a7d05a42d0c75
43586,https://github.com/akashgit/VEEGAN,swh:1:snp:b86de397b9529ee85c759f305cbd1b3dd6addea9
43585,https://github.com/ermongroup/flow-gan,swh:1:snp:a8045005cef86629ce19963f49c2518620e50b1e
43576,https://github.com/zkbaykara/CSSCompactifications,swh:1:snp:f0081d85e630b4df62c0b333fbb150b2b918df5b
43572,https://github.com/colis-anr/colis-language,swh:1:snp:dcd302a25d87bc0bd83d2bde4dfb3ecf9bf685b6
43562,https://github.com/zibamira/tesserae-segmentation,swh:1:snp:cb6d76623d7b69fcda793d297becf81d902fd2c1
43518,https://github.com/ftsrg/seviz,swh:1:snp:719937f199d29832df8333834e6bc524e5a96596
43517,https://github.com/jszlek/CardiacPBPK,swh:1:snp:53d96192c3d6e11033d9ebe2743fa042524f3557
43516,https://github.com/doug-little/PETools,swh:1:snp:357842f3619ac9794ecbbd4755ffa95214713d68
43515,https://github.com/NiallJeffrey/DeepMass,swh:1:snp:f8603c84140af7fc29a774ad2cbe050f362ee90e
43513,https://github.com/adaa-polsl/SCARI,swh:1:snp:7cfa97c4812dac9e2ad78134683f8feb461769fd
43512,https://github.com/ModelOriented/pyCeterisParibus,swh:1:snp:084f4cf6b67596bbceceebf3479dd06de534d224
41127,https://github.com/Xiaobo-Liu/mp-spalg,swh:1:snp:d26c0579be0df6dd95a181efe687d5c895d958af
41123,https://github.com/ramkikannan/planc,swh:1:snp:656b74d93b8c4c956435c34c779903270464b20b
41122,https://github.com/DxTer-project/dxter,swh:1:snp:ec698376b8ce48393f46cd95f95553406cf37cd0
41120,https://github.com/thuijskens/scikit-hyperband,swh:1:snp:ac18a09dd2c58b136fee33ee3944ca7fc4d66c89
41118,https://github.com/bbopt/HyperNOMAD,swh:1:snp:a6854fac7d3baca5a01ee85dd9a3dc6507b63ec8
41115,https://github.com/mingli-ai/FaVeST,swh:1:snp:084480dcc677370a01dddffc89c56bb5a135fb81
41108,https://github.com/Denis-Marcotte/TASC3D,swh:1:snp:912e0fd5977b8a6b4fcc56c0f29d2381da02288a
41106,https://github.com/Parallel-in-Time/PFASST,swh:1:snp:ddaa5c21020609451be1b05e585f70a78ac432f1
41104,https://github.com/tulliapadellini/kernelTDA,swh:1:snp:38300470c51f9bfddea46d2f3470b53b88301619
41102,https://github.com/MartinaIannacito/Biodiversity-index-computation,swh:1:snp:af079ccae779537c9caa9b784ea356f77bba7f5c
41097,https://github.com/bccp/nbodykit,swh:1:snp:83db7b365882609345a405943cbe280e84179b57
41096,https://github.com/lonsing/qratpreplus,swh:1:snp:2b8fa57303b0f5d11558cbfcf528fd7717a26df3
41094,https://github.com/QuMuLab/dsharp,swh:1:snp:59450a93df0526cebf5185ce12e4e75c2f7e8243
41086,https://github.com/dswatson/cpi,swh:1:snp:472aeb400605693453c87db7704ace19296f9a64
40712,https://github.com/DadaIsCrazy/usuba,swh:1:snp:a858785fc13e5ca448d9563ec41e3f90db91e9df
40701,https://github.com/CryptoExperts/tightPROVE,swh:1:snp:c5fd403df262c5296497acdf62036d09aeb33329
40694,https://github.com/fmohr/ML-Plan,swh:1:snp:79f19e80929b1eaf9a4eff06eb0dcbca8a225a4b
40682,https://github.com/cjbayesian/rccm,swh:1:snp:aaa936b7357431ba23a9ecd3809b93a5e437b924
40678,https://github.com/david-m-rosen/SE-Sync,swh:1:snp:3c68f72fbc7803cb93bb0ef8f127f76487a0c6a0
40676,https://github.com/mergarsal/FastCertRelPose,swh:1:snp:3961f406528f4e9ac49379165f7cdc47d3c6544d
40672,https://github.com/openjdk/nashorn,swh:1:snp:0e633cddbfd005b8ca06043444d09f50eae47002
4570,https://github.com/cran/cocorresp,swh:1:snp:5e3308cfa419265af47058b3bd24463980927f87
44890,https://github.com/aladshaw3/ecosystem,swh:1:snp:3da1a5b77b9e2642e03976e79ebb181d5c4772d2
44874,https://github.com/AtelierArith/GomalizingFlow.jl,swh:1:snp:71d830d5541834fbb98696ae493aa740511ed54c
44863,https://github.com/carla-recourse/CARLA,swh:1:snp:bed6fae38a0cdd80ffdd0e34a1be6c2d8a0eeea4
44855,https://github.com/slds-lmu/mosmafs,swh:1:snp:48d752fe69988a7c6d013bac34b9b2751f8de2e7
44834,https://github.com/albespalov/Adaptive_ML-SCFEM,swh:1:snp:0508edd13827a961da16500a56a76f5b0f329e9c
44828,https://github.com/PietroTotis/smProblog,swh:1:snp:e1d1bc4078b9cb59a1d523c3ad687371b77b5957
44813,https://github.com/mistupv/JavaSlicer,swh:1:snp:2566a8255e927ea7755315901ac82b47d1b9371f
44812,https://github.com/atompm/atompm/,swh:1:snp:c9f064a277c74a6270fc42d387785e9c3eb0e147
44810,https://github.com/nphdang/DeepCoDA,swh:1:snp:7ec4d8882659762ba32a30ff8d7ce751dacc953a
44809,https://github.com/acristofari/as-zsl,swh:1:snp:39a18f7edde229c5b8a360f338ca9b43a3fc127b
44808,https://github.com/frankluebeck/StandardFF/,swh:1:snp:c81764ce97e6138fa1a4955e55419b3cdcf6eef5
44807,https://github.com/n-otter/PH-roadmap/,swh:1:snp:a9bc9b5c15092123a46b22d553851620a4b302e2
44792,https://github.com/north-numerical-computing/cpfloat,swh:1:snp:9f16cbb0ffff06fe4a0f1d6e714da259ca1b7e5d
44788,https://github.com/growthcharts/nlreferences,swh:1:snp:b2bb5b2bdf111927df416e9051ab6599838b8b9b
44787,https://github.com/growthcharts/chartplotter,swh:1:snp:fe57d828078bab79351775ab25e3f1a93b167b29
44761,https://github.com/jayroxis/Cophy-PGNN,swh:1:snp:61845359816c607e79da86e94261407f65123301
44698,https://github.com/THUDM/GCC,swh:1:snp:9e9a0b55e3d869961205aec2bdfc7448f14c919a
44688,https://github.com/MasatakaYm/lammps-rpm-rspm,swh:1:snp:855f1644d2c3111132fea05ee304b0433204033d
44683,https://github.com/opencdft/cdftpy,swh:1:snp:70bd0f9c3c57471a85178ef862d64382f6cf5833
44673,https://github.com/caliarim/KronPACK,swh:1:snp:9f3fe0abf134819a63361f23618575a647e3fc90
44665,https://github.com/hifirworks/hifir,swh:1:snp:2837f2cf2571030d4b2b05f4df4d6dbbbbd20bc6
44661,https://github.com/GAMS-dev/gams.jl,swh:1:snp:ce6a860f92f5463cbad5c1139af7b2a988fcf6a4
44660,https://github.com/msmerlak/IterativePerturbationTheory.jl,swh:1:snp:ead7df2ad8319c00bf946517554b8c46131ada7c
44651,https://github.com/patrick-kidger/torchcde,swh:1:snp:7cd8e76eec0e95b66f3e4db9048fb87269cecd1e
44647,https://gitlab.com/jesseds/apav,swh:1:snp:18a29096973dbf157db4cc33a000dd2da9d94c3a
44640,https://github.com/vanderschaarlab/AutoPrognosis,swh:1:snp:b07cd81523ab3a18ff16d4a96ea2858b8bd532e5
44623,https://github.com/dhopp1/nowcastDFM,swh:1:snp:31f9f908641deab6956b8a8e5453cccd6e598a68
44617,https://github.com/TobiasRoikjer/PtDAlgorithms,swh:1:snp:707460892d685ce9eb00fb242b8fef4f4d5e121d
44615,https://github.com/Aalto-CFD/DLBFoam,swh:1:snp:da9d4ef360b4ccf0d3336566ec53917323a3508b
44614,https://github.com/leoneifler/chvatalip,swh:1:snp:34c7f57319249ccac74cd70607f798f890073d31
44605,https://gitlab.com/fralusa/uranos_gpu,swh:1:snp:23dd3ffa6ecbbdc9dca3f58b73abe485315aaa0b
44597,https://github.com/QMeS-toolbox/QMeS-Derivation,swh:1:snp:855dba7c81697c987eef6a64fe668c8867ea7bb9
44593,https://github.com/anant-group/FeynGKZ,swh:1:snp:05477b2fe82f9adcfa37f92ce7ffec8bc4da0d74
44591,https://github.com/IhmeGroup/quail,swh:1:snp:a97fa3451b8bdaba14654404403fa0759bcbbfa1
44581,https://github.com/ccao/WannSymm,swh:1:snp:a91aa06071da7c9ec8e7cf50cee47ced9eaac5d8
44580,https://github.com/wannier-utils-dev/symWannier,swh:1:snp:f083107f0c465c450b9b280cd0a677139fc6ca8b
44579,https://github.com/stefanoOliani/ICSFoam,swh:1:snp:21d0ea0327665acf8e29881754c4f909c175e29e
44570,https://github.com/echkon/tqix-developers,swh:1:snp:523d9006fbcb9435736f262051737a2b51d1b789
44567,https://github.com/habyarimanacassien/Fractional-Hawkes,swh:1:snp:6618f9f0ee1bb54763ce037448640c4036b54222
44566,https://github.com/RahmouniFaouzi/SCFsAnalytic,swh:1:snp:da495e484dcd76ec52912a9e62d7bb8cf74670de
44561,https://github.com/nasa/smcpy,swh:1:snp:d1d8238ac137a4ea0ca0d6e5fb1b21177ddeb36c
44558,https://github.com/erwincoumans/tiny-differentiable-simulator,swh:1:snp:84b9e24f4c299f6c6a1c7289d6d9330d9ccbe687
44557,https://github.com/leoneifler/exact-SCIP,swh:1:snp:ac84c32f58b2439f15449c00e8fda6be4f55975c
44554,https://github.com/Tenavi/QRnet,swh:1:snp:58b4360facd67a75622188884cef9fbbc6ab1460
44552,https://github.com/RoghayehMaleki/PolynomialsDefiningCAlgebras,swh:1:snp:98723518c12a866b55808d82d8be0ab993fffec6
44550,https://github.com/MRChemSoft/Kinetic-energy-free-HF,swh:1:snp:f6450f97138608b6552770b65feb2609477bc422
44522,https://github.com/ropensci-archive/scrubr,swh:1:snp:9d295217630ee6eb0a36d25d9c42202bb0435c86
44518,https://github.com/skiptoniam/ppmData,swh:1:snp:839c8667fa58bd7a278b915c33e81ee1a75c76b9
44508,https://github.com/UCSB-CASL/Curvature_ECNet_3D,swh:1:snp:1f5e800a7b552fd207551336d4bcde9b534371ce
44505,https://gitlab.com/sparktope/sparktope,swh:1:snp:a1e3f4767bd30c140f5de1dc1fb91ce8639c16bc
44480,https://github.com/artap-framework/artap,swh:1:snp:246c103496c3ef9ae2932fae6662552eaf3ac907
44445,https://github.com/PQCLab/pyRootTomography,swh:1:snp:1818dd3dd38bc4ac6f2dbabcf4f76aa7d53b7f8c
44437,https://github.com/JunweiLiang/aicity_action,swh:1:snp:17a5e8227ceb9e709a9a285205de3164e8f165c9
44435,https://github.com/TACJu/TransFG,swh:1:snp:3aceba81fde96f548ad8df6c2c24b4a0464904d5
44419,https://bitbucket.org/csabiu/gramsci/src/master/,swh:1:snp:2677b1dcb3b9207adb37777e0c46609cb8cffc3f
44418,https://bitbucket.org/bolejko/simsilun/src/master/,swh:1:snp:36feeab5fc61cc67d7825ec2446a2096855f75c6
44416,https://gitlab.com/cosmology-aifa/ligerv2,swh:1:snp:b22247c5cd0bbad0146c27f38e3f03f6805bcea1
44038,https://github.com/totoro97/vid2curve,swh:1:snp:ba99ac14f92b0ff0f910b60f50355312466a8014
44037,https://github.com/FangjinhuaWang/PatchmatchNet,swh:1:snp:fd6cf2e3c193af48696517cc5aa5450c811f626f
44019,https://github.com/framefunVC/BSplineextension.jl,swh:1:snp:b7489e2f28f8b3c9bd47094ff5c94fd8fbd6a599
44008,https://github.com/cvlab-epfl/MeshSDF,swh:1:snp:92ae7e05f776a98c91d27f24169b0a8a004bfd91
44007,https://github.com/creiser/kilonerf/,swh:1:snp:148050766e5ec011973fab5971750a61a1469ebc
43990,https://github.com/d-kfmnn/amulet2,swh:1:snp:30756140d348481533285e30b2d38b42488e874d
43986,https://github.com/facebookresearch/DeepHandMesh,swh:1:snp:b66d62f001546a760a8d42784965b82f1d5b0be4
43985,https://github.com/ducha-aiki/wide-baseline-stereo-blog/,swh:1:snp:6b5d4cfc4c76b41efe8588c746cd5b6557421398
43984,https://github.com/timmeinhardt/trackformer,swh:1:snp:9ac09091d0d7ac7969b220df164d24657aac687d
43983,https://github.com/sacmehta/ESPNet/,swh:1:snp:9abe3c8bbf58f15688cd67ee3e77c1e05c69b136
43691,https://github.com/limabrena/uavnoma,swh:1:snp:860b09360cc86d78df858e560220f90c36013efe
43683,https://github.com/tpetzoldt/antibioticR,swh:1:snp:0e8c22e55c2e0e5129993a459308b6e0d4e16bde
43668,https://github.com/multiform-UoN/SECUReFOAM,swh:1:snp:3bc490011841337aa0615ac81145c1d36df44efc
43667,https://github.com/espitau/GALACTICS,swh:1:snp:7a5d33e6aabe57dfce676cf20a59030dd9b4a4e4
43664,https://github.com/yixuan/almond,swh:1:snp:09fdd8065e6ad4898cd13183210ecf953c8d1d20
43661,https://github.com/INFORMSJoC/2021.0096,swh:1:snp:8b110c0f6d6c1468e324a23bba50eb2d4b711319
43660,https://github.com/stefanch/sGDML,swh:1:snp:4a8ed38aff0fd989702a2ca46fa19c186b32acf0
43658,https://github.com/mfalt/QPDAS.jl,swh:1:snp:bfd5252e08d39b906bd372f6dc928d21ae1488fc
43639,https://github.com/samjbaugh/bayesianheatcontentcode,swh:1:snp:09fc4cf2168d8a052abd45eec68ad0bae659450d
43632,https://github.com/yukezhu/visual7w-toolkit,swh:1:snp:801ae94257fa56afeae5a19907fba76de58da8be
43622,https://github.com/liuruoze/HierNet-SC2,swh:1:snp:628b27613a9ea5231792b3da0bf20515b43d094d
43620,https://github.com/liuruoze/mini-AlphaStar,swh:1:snp:315e1279ae0e5b0cea98185273bba89d8318cd6b
43610,https://github.com/GangMei-CUGB/juSPH,swh:1:snp:0248954ffd164ab32a338a8d02ad1ed1ee4f81d7
43607,https://github.com/aia-uclouvain/pydl8.5,swh:1:snp:d0bc0bbbadbdac74f9f343c961785bbb25be3ce4
43597,https://github.com/neulab/ReviewAdvisor,swh:1:snp:98da912ec011ea61997fe83de7104b53c0a294c4
43571,https://github.com/wchen459/mo-padgan-optimization,swh:1:snp:9f49771e2d2aa6e8467a7104f28630eed008b7da
43570,https://github.com/ideallab/ih-gan_cmame_2022,swh:1:snp:4fcca8fbe9c3dd7ad6cf39ad2da3d64fdd239a73
43568,https://github.com/AmeyaJagtap/XPINNs,swh:1:snp:09c2476474c842b729fb07292b95ede2709d6276
43566,https://github.com/vanreeslab/murphy,swh:1:snp:ddb9770a44560120922d4b57934f7f72f2c04d4d
43553,https://github.com/ModelInference/texada,swh:1:snp:c201438ffb1b03c7d7cfbfe44c90445add8e941b
43531,https://gitlab.inria.fr/ckatsama/ptopo,swh:1:snp:c5769446713b0173a9ac60e33f61b27e15d72d3b
43529,https://github.com/WgitU/BLGGM,swh:1:snp:82f6f76499b810041fd12ab1d5fdf7e8ee585311
43514,https://bitbucket.org/ohahn/monofonic/src/master/,swh:1:snp:0739a2b233422d10b4a5356d1d7589e756f6bb26
43509,https://github.com/adaa-polsl/RuleXAI,swh:1:snp:07719d0d9c77177fa984e9838f11effccaf14e26
43508,https://github.com/ComputationalReflection/StaDyn,swh:1:snp:a005732c74876db66e6d24f9e08c79e1d03fafe5
43504,https://github.com/asibilska/Snake-Robot-Locomotion-MATLAB-,swh:1:snp:1545345113540c535c81d3d328b46ecaaec97807
43503,https://github.com/giannamonti/RobZS,swh:1:snp:878c6d9694d1c75c62fa897b15a04f07fd351d7d
43502,https://github.com/DiliSR/LoRMIkA,swh:1:snp:e024fcf32d15a44fb11bd9f062f311d7fc51cdb9
43500,https://github.com/issp-center-dev/dsqss,swh:1:snp:fe14963b1b7ee45b0a6c6446f2f1ad20804f249d
43490,https://github.com/KenjiHarada/BSA,swh:1:snp:c920418d71a8aed41089a7171326391a470563be
43476,https://github.com/dhimmel/pubmedpy,swh:1:snp:99c6b01e00a82aff1c1eeae6d2a2680a02da1050
43468,https://github.com/mfouesneau/NUTS,swh:1:snp:1e815bce369e4577801f1981cd62edcbe7246d1a
43465,https://github.com/open-mmlab/mmgeneration,swh:1:snp:09a04adbe6a83c0caff9d38aff4015c568a4cee3
38520,https://github.com/UCD4IDS/MultiscaleGraphSignalTransforms.jl,swh:1:snp:3ba3e2af96e20cfcaaf5b8fe6c9cbf2071667fe5
43868,https://gitlab.com/ita-ml/pyhard,swh:1:snp:f91a60be70f7e5ce4de6d3101c12c31b18f4b6ce
43802,https://gitlab.com/smspp/smspp-project/,swh:1:snp:6c6e4f452cca78be9d9114b588e5aecb8c00d06d
43798,https://github.com/vaishna77/Lippmann_Schwinger_Solver,swh:1:snp:8813343493a1e3f38d5a8dba39e534d5fca428c2
43791,https://github.com/jcadf/iCorrVision_3D,swh:1:snp:d490c0e1412d641ef1fa50dd6791927f53ceca4c
43790,https://github.com/jcadf/iCorrVision_2D,swh:1:snp:89d44219b3f374779426e91d272707a7aa31b6fe
43784,https://github.com/cs-chan/ArtGAN,swh:1:snp:25ac6b50352f184060ce881f322bd1c434fdd287
43783,https://github.com/wuhuikai/GP-GAN,swh:1:snp:c8cf9b5a712077e78701a96b20b1787970617055
43782,https://github.com/mmaiarocha/MRPy,swh:1:snp:5f67ab387705611bb58f62610a7ca246b41dc8f1
43781,https://github.com/MatheusCarini/CESSIPy,swh:1:snp:f5bbc1f8c0fb2ac3ef11b14a2cfb0029dd1e4ee6
43771,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00148,swh:1:snp:0bd1aea5a52b343671f7efb45c4534b35f6693ed
43765,https://github.com/pbrcunisa/RootAnalyzer,swh:1:snp:7384917cd31a1800ca2532c5d41d205e36ad3ed1
43762,https://github.com/fairmandering/fairmandering_paper,swh:1:snp:78e7042c928d2a9474a95aa1ba936508492c8be2
43760,https://github.com/shahaneshantanu/memphys,swh:1:snp:b1c188acb15bed978ed547250e008c96cc4e0fd9
43753,https://github.com/ElsevierSoftwareX/SOFTX_2019_102,swh:1:snp:76a99d7b144ebbc332d5c956b12132caaf8594c5
43752,https://github.com/laristra/flecsph,swh:1:snp:4a4ef385b8239feb9fbed60886c9fea4f9e621ab
43744,https://github.com/mitigation-controller/mitc,swh:1:snp:c14a3bce0684643bac50b0f12af7f60e7d1e1939
43737,https://github.com/rburing/kontsevich_graph_series-cpp,swh:1:snp:711912fcc74dda0840e7b1466da625ce5f984451
43736,https://github.com/funstatpackages/TPST,swh:1:snp:9231eff32f0c3e1b58760bf437d6af9414d6d6ec
43735,https://github.com/funstatpackages/STARX,swh:1:snp:7eb1cc72fea422d95bbd392776002490ccac87a0
43734,https://github.com/FIRST-Data-Lab/Triangulation,swh:1:snp:169f3d0610afa9c63be77b5746a85efa36aeaa72
43731,https://github.com/mcimini/lang-n-play,swh:1:snp:d206ddcd498f216122e760c5d5ac4c4e18e8406e
43730,https://github.com/Benny44/LADEL,swh:1:snp:9035d173911acf3d4d3b2deb087fa90ccb36a8ac
43729,https://github.com/HwanGoh/uq-vae,swh:1:snp:61e73b5aae058dc3d8ad98a24be21c64bf1cdf4e
43727,https://github.com/Iourarum/GOPY,swh:1:snp:c69dc3c07685c816fcc5d4e4c144cf71c72b95f9
43723,https://github.com/heremaps/pptk,swh:1:snp:8d9c49a01b7239e092d021ddf1d809a5b28563f6
43720,https://github.com/conlin-matt/SurfRCaT,swh:1:snp:1974defa0db5f36e4aeb4c8ef14aba5962cba25f
43716,https://github.com/a-mitani/welford,swh:1:snp:b3e70982c2b41c2bd6a58e258a4e352254579ac0
43715,https://github.com/caiostringari/picoastal,swh:1:snp:05349131888abf5baadd6dce6177a480263dc464
43713,https://github.com/ElsevierSoftwareX/SOFTX_2020_236,swh:1:snp:d879d027154007e751067c65ded17ea80bcecbcf
43709,https://github.com/ElsevierSoftwareX/SOFTX_2020_170,swh:1:snp:299d79c7c81b78b9f503854d5921ff5236c87d4e
43699,https://github.com/jeffreyhanson/global-protected-areas,swh:1:snp:54dbe9807cbda6ffdd69c652115c30128abcc452
43694,https://github.com/wildart/Evolutionary.jl,swh:1:snp:5063351b7becb23ff840f1d1fe260667a5c1f9f8
41872,https://github.com/JeffLIrion//MTSG_Toolbox,swh:1:snp:9ed191a1aec9a269447474b3de6bf8dfbed2c6d3
41871,https://github.com/UCD4IDS/MultiscaleGraphSignalTransforms.jl,swh:1:snp:3ba3e2af96e20cfcaaf5b8fe6c9cbf2071667fe5
41864,https://github.com/HLTCHKUST/CAiRE-COVID,swh:1:snp:aea93b12e4ab7e941f2fc91c0c5759c8695d27cd
41853,https://github.com/asahi417/tner,swh:1:snp:a76f49a86e0ec541b95e9cbe421c8a65bcfd301a
41841,https://github.com/qutech/qopt,swh:1:snp:e92533c0d619fec3deba27cc0540db4f36d63af9
41838,https://github.com/litian96/ditto,swh:1:snp:8547979964727f2370a40724abdc6612973a30a9
41828,https://github.com/aiforsec/cyner,swh:1:snp:358729c8cbd8aa57c6f7d18399159625cedcc108
41827,https://github.com/library-testing/muffin,swh:1:snp:ab3533770b08a71d93113e846e0325f1e4c02c67
41824,https://github.com/alexander-tritt-monash/spinsim,swh:1:snp:cd8a18c16bfb225464c7912b33f5a56a48a27219
41818,https://github.com/annasongmaths/curvatubes,swh:1:snp:c3375a5efbfd8c47b17d2f7f48b9b9c31e033cd2
41806,https://gitlab.com/drti/shaff,swh:1:snp:0c482e079aed346872f1bb07d04231f220dbb757
41800,https://gitlab.hpca.ual.es/savins/multipharm,swh:1:snp:33770ce3726301a28a595a31cb30a72bf1d4db0b
41797,https://github.com/owl-project/owlExaBrick,swh:1:snp:48e18dcc15545599474a4e3e21db645b21bc4bc9
41782,https://github.com/kul-optec/nmpc-codegen/,swh:1:snp:a0dcd1bef340a2e2c993ee20d314e739b9a87bea
41779,https://github.com/muaompc/muaompc,swh:1:snp:c5c4096a2269c74ea58dc6d56881732a26da1659
41735,https://github.com/sarahromanes/multiDA/,swh:1:snp:633937a0df28565adb0eb1ca07f8df4172ae88cd
41686,https://github.com/nanthony21/PWSAcquisition,swh:1:snp:3b6e9a743112b10784e1cc0f42fba25d2a8838fb
41678,https://github.com/luigiannelli/threeLS_populationTransfer,swh:1:snp:40cd9d80e46cbb3c79204fc76ea1457676396d93
41674,https://github.com/ufvceiec/gema,swh:1:snp:998ab7d5b63e46a3e1bfce82ad80b4066a1627c4
41669,https://github.com/median-research-group/libmtl,swh:1:snp:5672b33b7aa31ca5f6fe808e44bb304aabceab82
41642,https://bitbucket.org/vahidi/jdd/src/master/,swh:1:snp:fb358cf48daadddcc04dc3967762d578364cd4cf
41631,https://github.com/STEELISI/FRADE_CODE,swh:1:snp:1a387f2f43a2ca3a34f5296a9c0900db5aedabbb
41627,https://bitbucket.org/alexandru-iosif/maplebinomials/src/master/,swh:1:snp:9325ed0ee5cc640af3046d05f12e84b88adaaa73
41612,https://gitlab.com/securityengineering/HyCC,swh:1:snp:0db2d54cdaccc38d9f11a621a27780a0d06ca898
41611,https://github.com/encryptogroup/MOTION,swh:1:snp:6aaa3006d01bbef01399fd48ec2e790b55766a82
41610,https://github.com/multiparty/jiff/,swh:1:snp:bc2486cd3c903046d0e63a95859ae43f8a0ebfd4
41606,https://github.com/PIPO-Blockcipher/PIPO-Blockcipher,swh:1:snp:fb7c943293217b65b6ca495c00738d1897f56f9a
41603,https://github.com/UCLA-VAST/AutoSA,swh:1:snp:96e2d5787a63b9c30ec383f749cefca4550a8431
41602,https://github.com/Xilinx/Pynq,swh:1:snp:ecb5b15cf0fc9205dc802cc9045b60a800c5442c
41595,https://github.com/hst10/pylog,swh:1:snp:f788ae086eb9de181bdc3a30eb0e3fe0dee8e8b5
41583,https://github.com/upscale-project/pono,swh:1:snp:33bb8c9d29c2a00b9a19ba87fbb1cb3c4c8d47da
41571,https://gitlab.com/jtholmi/wit_io,swh:1:snp:1f9ae6e7860dfc20cacee006d47fa8b905080c9c
41568,https://github.com/zhangys11/pyCLAMs/,swh:1:snp:5f9462981264051c33a5819a7f4e6c5f06d4d574
41557,https://gitlab.mathematik.uni-stuttgart.de/pub/ians-anm/vkoga,swh:1:snp:9c1b0b586c0532790a38204becc78e7831330dc8
41548,https://github.com/aldma/qpdo,swh:1:snp:f09af07450776cb95ffdf1df42c36116e7f25ac3
41538,https://github.com/C-Briddon/SELCIE,swh:1:snp:9c1356d08689c4e5f3746a8e4323ccead966ef01
41524,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00172,swh:1:snp:52f71171367761d6f3f1e72b65e3093c4f64666b
41518,https://github.com/mmikaitis/anymatrix,swh:1:snp:7904280b8d264437ca381a573f21d2e170877a7b
41497,https://github.com/vidalt/HGS-CVRP,swh:1:snp:e3eb212b864546650f444ce66996c5e560ce0dd2
41491,https://github.com/souzamarcelo/capopt,swh:1:snp:a8107d147680e678ddfe44b095eb1ac4c4564bba
41490,https://github.com/souzamarcelo/acviz,swh:1:snp:950685560aa4e4c23fbfb58ada70f0a4a974dd07
41489,https://github.com/souzamarcelo/hhbqp,swh:1:snp:f4a5423db3494ea3f83b9e2ff70f69aa6df066a9
41481,https://github.com/stefanSCS/Poly6,swh:1:snp:db4b0f459480e6229a526313465a1d50151722cf
41460,https://github.com/udellgroup/gcimputeR,swh:1:snp:41dce6156aec55f7cd91dfb4eac6c19d929afe9d
41457,https://github.com/udellgroup/gcimputeR,swh:1:snp:41dce6156aec55f7cd91dfb4eac6c19d929afe9d
41452,https://github.com/zechnerlab/Compartor,swh:1:snp:f7c6bca7752cbc41949e06e4a7894580de3c1a3b
41444,https://github.com/libsbmlsim/libsbmlsim/,swh:1:snp:03246c1c1add6f17121f98d53b0e3537dfa034a6
41440,https://github.com/neomatrixcode/Merly.jl,swh:1:snp:da2f868ba0eb206b4b2165d52417ea2cb6b41199
41418,https://gitlab.com/csu-tda/PersistenceImages,swh:1:snp:72336c39ea107a424fb78702b520458930a1d0ce
41388,https://github.com/FermiQC/Fermi.jl,swh:1:snp:b28fe1854e15c8b4eb314846c7b64f0ce78f01a0
41387,https://github.com/JuliaMolSim/DFTK.jl/,swh:1:snp:f8e8bac33de5b0fba6af37ad8de299600f70255d
41382,https://github.com/zjukg/NeuralKG,swh:1:snp:277a64804ad5a486fe5a656de535a914ee7be4bb
41373,https://github.com/cau-se/gh-archive-code-retrieval,swh:1:snp:8cf4afe1921dc3c82da23c214184462f7842f125
41309,https://github.com/glondu/belenios/,swh:1:snp:378c206317785de077744bfc57bf0e9276964b2d
41290,https://github.com/advboxes/AdvBox/,swh:1:snp:7b1f4c3199c81a20d435a9a631d850c00d17df24
41243,https://github.com/PyTorchRL/pytorchrl,swh:1:snp:c2677c627f3d431393cf14a889369298d36642ed
41241,https://github.com/gudovskiy/cflow-ad,swh:1:snp:846bbe971be21a838c2c2717b72b0290cd7371a8
41196,https://gitlab.msu.edu/vmante/multivariateapart,swh:1:snp:54726af52d1b413ee0a26d23ba39ecae44e003c6
41194,https://gitlab.com/multiloop-pku/amflow,swh:1:snp:0826ef430cd0164ea0a8ccc8b42c1cd17e0e4f1e
41190,https://bitbucket.org/fpfenning/rast/src/master/,swh:1:snp:9781718c63fea38e3ba86c3a4a92867894102d79
41144,https://github.com/UniprJRC/FSDAsas,swh:1:snp:20583760c5ac8383ba8b254a87ef3ccd1604c86b
41131,https://gitlab.enpc.fr/navier-fenics/fenics-optim,swh:1:snp:bdeeb512425b5937ad9b305da5d6a1844f5bafe2
40713,https://github.com/quininer/gimli,swh:1:snp:5a2f07ecc8f6fba735fad66184da8b29cf50e68e
40702,https://github.com/bzhan/holpy,swh:1:snp:a9b3d0b08d1801465814346e3b91d2f8a081d83e
40696,https://github.com/SkBlaz/autobot,swh:1:snp:6030b139ee77bf88a98c87b8b69a69d066dad494
40677,https://bitbucket.org/whvlui/fivepoint/src/master/,swh:1:snp:ae117321e1f6d6031991d333e051cb6027e7d2a5
40669,https://github.com/rohdelab/rcdt_ns_classifier,swh:1:snp:12791a0a94e33eba27542eff164ebb5ca189fcbb
8145,https://github.com/cran/GAMLSS,swh:1:snp:8777e4a7dc38d3218c23b505ca7957cd6fc158dd
8163,https://github.com/cran/Survey,swh:1:snp:303ee5d9dea4464dd909a36b1616048e62bcb9a6
8173,https://github.com/cran/Monomvn,swh:1:snp:c33a11a056954d62b039495118e85e3db0874a24
8282,https://github.com/GeoDaCenter/geoda/,swh:1:snp:921d4de116d565964fd088b9949bc3bfb5213411
8300,https://github.com/cran/SeqinR,swh:1:snp:e826a0249baef2280eddf5bd0c513202e95877b8
8309,https://github.com/cran/LASER,swh:1:snp:3ecc030fbb0751070706043cba28f385f998c0ad
9855,https://github.com/relic-toolkit/relic/,swh:1:snp:5077a761cbfd17632afe8658ed5cc9e7df83d94f
10115,https://github.com/jwaldmann/matchbox/,swh:1:snp:bd6c57962b6f465809ad67ba61d1282078ec02ff
10659,https://github.com/rorchard/FuzzyJ/,swh:1:snp:9e9eebfd2b6e9fc7af3eadb922ae30016537db17
11120,https://github.com/cran/WaveD,swh:1:snp:2772afb8d6735812a282b6d9c53ff3fa34bc9ec8
11399,https://github.com/cran/YUIMA,swh:1:snp:afecfc06838b1309b9a9ea5e287ac2a905450876
11464,https://github.com/cran/SmoothHR,swh:1:snp:e8cf41b10b8b008012e4d9a4ef5d1c8d31b7a7de
11591,https://github.com/cran/Groupseq,swh:1:snp:4ff0d1d35fd4617a42b5fa8daa31f87b9662be85
11595,https://github.com/cran/Rotations,swh:1:snp:c5b5906ddc009ea96d85ed28a642a119951e4a90
11881,https://github.com/nickhale/quadpts/,swh:1:snp:90f28fb9f09ce7f125d7d7f3506ffec77d4b670f
11932,https://github.com/cran/Reweight,swh:1:snp:3a88cfc989b9837f434478c41bfa31ce015da249
12415,https://github.com/cran/TikzDevice,swh:1:snp:346664ee599c3908668ce018cb04a50d7c5e87c4
12714,https://github.com/sandialabs/TChem,swh:1:snp:4379200de7049b104b4069519616e79cc6c1cefd
13054,https://github.com/cran/PLANOR,swh:1:snp:baf600447f8371ed096eeda08fbaf93e7b9d008d
13283,https://github.com/QuickChick/QuickChick,swh:1:snp:940dcfe6726c82df78d88717bd9181ffdec9a063
13350,https://github.com/numbbo/coco/,swh:1:snp:8e3af4f81857057d0753aecfcebbfd2a967babdf
13354,https://github.com/cran/APPLE,swh:1:snp:1d49e2d8fe124a3132b43a38580ee63f29a82112
13558,https://github.com/Froskekongen/KRYLSTAT/,swh:1:snp:3278a0cc1f77a80a3f8d8016f907b70b6964b6df
13712,https://github.com/cran/coxnet,swh:1:snp:66aec5b7b07b0599ee487129287b38eb21d89815
14026,https://github.com/wtwhite/speedy_colorful_subtrees/,swh:1:snp:c3e60ef3910bf67fe880e1cb5fc8a4d005b8093a
14338,https://gitlab.lrz.de/cie_sam_public/fcmlab/,swh:1:snp:d15ebe44fbc1b9ff9196a8490dee19e65a5bc7c6
14534,https://github.com/cran/Rela,swh:1:snp:8e3dbf6effebfa63ec2c7010ceaeb0bd6f344118
14558,https://github.com/cran/Mmm,swh:1:snp:b5f1c9164cc4b9593100041f4ff48c0b2cef58b7
14634,https://github.com/cran/Growcurves,swh:1:snp:e535139435ef5157bda98aec1f8362a97471360f
14665,https://github.com/cran/Cramer,swh:1:snp:e49a423d13b8c54f635ae3d99e9fe00802eefe9c
15096,https://github.com/brandenburg/schedcat/,swh:1:snp:c61ce3d3a8544e30337bfcdfb154235eb303e74c
16522,https://github.com/cran/McSpatial,swh:1:snp:9d90c97ea473834c2b49fb4c35263f4d01920250
16527,https://github.com/cran/diveRsity,swh:1:snp:bb36eb6d4e3dad0e3de9d2727582f50449a417cf
16531,https://github.com/cran/wrspathrow,swh:1:snp:b69b7644cbd584f3ecf6573174ed78d17bd582bc
16534,https://github.com/cran/plmDE,swh:1:snp:033936ebae167473aea8dc194764590b4eb3b080
16543,https://github.com/wxiao0421/ConvexLAR,swh:1:snp:ea9a64009c59de549f1ea8e7f00b5b2dc47e81e3
16780,https://github.com/ndattani/FeynDyn,swh:1:snp:2ad84a289931beb122ca6eaf3020d4fac0c17e62
16787,https://github.com/cran/normtest,swh:1:snp:7d6e16c16e06ed302c8074d99d8bcc13353c18ba
16811,https://github.com/cesium-ml/cesium,swh:1:snp:3cf5404868d7384e1a50ce009d81a91c1eda7ff3
16812,https://github.com/pydata/xarray,swh:1:snp:341a7f94f5b89077a3422e5cff393b15f6f76d19
16828,https://github.com/sailfish-team/sailfish,swh:1:snp:351ed7be5fa4de6e0fdb39a8144a622a13339efa
16859,https://github.com/gap-packages/spinsym,swh:1:snp:ecf5e5c90d44a6436eb279a396336c372154edac
16860,https://github.com/cran/frmqa,swh:1:snp:51ed6d5072435fde25d1d2cfb27636e0f5ce1a14
16897,https://github.com/cran/rmarkdown,swh:1:snp:2943e9a16635c48f86bdba87a956d63923152289
16936,https://github.com/loopasam/Brain,swh:1:snp:c299e334c672dd4944473386ab74d6662b8f2baa
16960,https://github.com/zxing/zxing,swh:1:snp:c547900bc429ddf8ed2f808ee205a0573d71673f
16971,https://github.com/cran/ldr,swh:1:snp:6ae4cf6a99fd21cc4e26e2dff6ea22092aa4219e
16980,https://github.com/cran/ACTCD,swh:1:snp:80a186e72c38dee2e8ed7e24bbd827401853c287
17003,https://github.com/tseemann/VelvetOptimiser,swh:1:snp:7fb18c0934d8a96b9ad61bb959903026c1527205
17011,https://github.com/ElofssonLab/pcons-fold,swh:1:snp:8d3262a8cde8cf19871af64dffc38d26fb73ac0e
17031,https://github.com/KorfLab/StochHMM,swh:1:snp:ad6d8fa910d4c89a90f9969f5660aff72b9592b8
17033,https://github.com/kerepesi/Brain-Graph-Tools,swh:1:snp:2efd0d6dc2460ac174403df3d167c755fc07ef4a
17046,https://github.com/attresearch/yakker,swh:1:snp:57fddcf281a9c9c9279d191ed51ebce89653557d
17047,https://github.com/Joe-Kileel/Numerical-Implicitization,swh:1:snp:32165266f00af2a7f00c33f76e63d8655ed57426
17049,https://github.com/cran/genMOSS,swh:1:snp:05e5ff962555aaa9371f899460f0f7192af00b9e
17058,https://github.com/adamallo/SimPhy,swh:1:snp:daecdcf1b8f73e66296c62629c8cd8bd3e70a6c6
17061,https://github.com/cran/fragilityindex,swh:1:snp:c212c235d3f047a1065a5bf5339ca1344691758f
17066,https://github.com/cran/GFA,swh:1:snp:0c54509bb33681767950163cb176d61d6474ff20
17067,https://github.com/cran/PTXQC,swh:1:snp:1b330de96af404607902e2f092ca6fb537afad86
17069,https://github.com/cran/extraDistr,swh:1:snp:566b91bb5f632606f961b6183f17255390a53bc7
17072,https://github.com/cran/rust,swh:1:snp:e77b3b89f7b58ecfc6bd5d7578d88e9d06d66ba8
17073,https://github.com/cran/matrixStats,swh:1:snp:a58ae93d713fdfbc1519521de6c500743f51e097
17075,https://github.com/cran/rstpm2,swh:1:snp:8aee81b9bd12afca7a450fdc17e2e9fde0a7759b
17079,https://github.com/cran/g2f,swh:1:snp:8400227c03f92b271f4becb245f6313a661d39be
17081,https://github.com/cran/Sim.DiffProc,swh:1:snp:d7e63446abbf9e132de0d84b7729ae5eafdea297
17096,https://github.com/cran/pbdBASE,swh:1:snp:3d6014f1ef13e3b014b1451a91660cca26909884
17098,https://github.com/cran/synbreed,swh:1:snp:dd023649cd0932a612d1e7a7eb3b2d4c619d93f7
17099,https://github.com/cran/SpatialVx,swh:1:snp:9e7022d0c48fc9c52dc871d3ffbcbc8d64d9d0e6
17103,https://github.com/cran/globals,swh:1:snp:d8fcb0b0400294839745389553f2f523e616d9be
17104,https://github.com/cran/h2o,swh:1:snp:0803de221be9a4251af5841d6dfb065816daa3bf
17105,https://github.com/cran/QuantTools,swh:1:snp:d105acce2242f1654235a92fa64eea28412c0280
17106,https://github.com/cran/showtext,swh:1:snp:41927b943f7bf38633fd278efbcc0e64725b9f05
17155,https://github.com/csmiller/EMIRGE,swh:1:snp:3cabc69e57ba7aac500a0e140c6e7a7391adc245
17205,https://github.com/gobics/uproc,swh:1:snp:1040412cb5724001a6b5f38675aec14d78d700f4
17211,https://github.com/cran/jwutil,swh:1:snp:d94d76cd129757465583541b8f25092f598c2b3a
17214,https://github.com/cran/qualtRics,swh:1:snp:bafc9b68e3ab1ba75d6ee7b8100195e3177580be
17217,https://github.com/cran/rintrojs,swh:1:snp:d319eb0143471b6a03266bad61bb90a48f487dde
17218,https://github.com/cran/TDPanalysis,swh:1:snp:71081d1bd04990ce3473edef4001f12fecf87719
17220,https://github.com/cran/ibmdbR,swh:1:snp:a2efc20fc977ffae9bbbbba98ee343769c983f2b
17224,https://github.com/cran/htmltidy,swh:1:snp:6d113d806edaae1bef91e3a4b4885b99f4a77f8d
17228,https://github.com/cran/inlmisc,swh:1:snp:955c2571ff17085f89c62e438f2966e39ef802c5
17232,https://github.com/cran/netmeta,swh:1:snp:83827377b72b7280eb55f5308777e95dfdf18c51
17233,https://github.com/cran/meta,swh:1:snp:08e5cd3654171a6368584ed213f0356a6a4c767e
17242,https://github.com/cran/timeSeries,swh:1:snp:532fbdacbd4d450a8925a24b6820d9ac682fd0a6
17244,https://github.com/cran/rpart.plot,swh:1:snp:e1b350d7b4e6b6cfc00d4decdd2e2703a5ab1444
17296,https://github.com/teerjk/VarSifter,swh:1:snp:f389e82493cbafa8255ea8524e200e440517e1e0
17303,https://github.com/marcelm/cutadapt,swh:1:snp:95c3144ea712114f1688d2ab4e374cf1dfaa52a1
17386,https://github.com/cran/ridigbio,swh:1:snp:a12948bd101acb594a684db2ade4517f31aa4826
17389,https://github.com/cran/countyweather,swh:1:snp:27afff9e7735f3ee01eb4f12fcf577044fc5f7ba
17390,https://github.com/cran/geneSLOPE,swh:1:snp:d7951722a8d70121ff5d6fb4b4551bf7f782224e
17391,https://github.com/cran/MasterBayes,swh:1:snp:2103a6dfddb562c02b37f32c79ca51bce477a6e6
17397,https://github.com/cran/adaptivetau,swh:1:snp:15294cbcd824fdbca49989e941535110c87a6059
17398,https://github.com/cran/edarf,swh:1:snp:ac3920d6f6792f8cec008a73c78239dbf190b65c
17401,https://github.com/cran/lawn,swh:1:snp:c6e5af1087064f0e0662e2c40ac28a75be0232a9
17403,https://github.com/cran/pinbasic,swh:1:snp:26b3f10276bb42744262a6a7bec41a796d5de4c8
17404,https://github.com/cran/readbulk,swh:1:snp:5707bd6e291488e394b7041ec50860c0d34d3d70
17408,https://github.com/nickabattista/IB2d,swh:1:snp:c672de57182aa979f0b4cb45d48fe2893f1543b1
17410,https://github.com/SergeMOULIN/clustering-tool-for-nucleotide-sequences-using-Laplacian-Eigenmaps-and-Gaussian-Mixture-Models,swh:1:snp:abe5a2f660abe9e677f5ee28f360727aefe6ee90
17411,https://github.com/cran/cowplot,swh:1:snp:298a0624a71ba2b2ee4d063fac8c933717ab34ac
17415,https://github.com/cran/CorReg,swh:1:snp:141118eefde8e6d2ef6926912028e199947ae138
2074,https://github.com/PSORLab/McCormick.jl,swh:1:snp:ea4a4d80e9a1b7f560dd2b525b0aee5feda12921
2229,https://github.com/ludwig-cf/ludwig,swh:1:snp:f43932d86a54b84ed851229fecc22d199c87fb36
2614,https://github.com/dtompkins/ubcsat,swh:1:snp:fb7f60aceb94fb16b836d4d8bf45a6bac0276515
6863,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00051,swh:1:snp:d3781cf2d6284922784aac1156cd3ae0307d46ea
6865,https://github.com/stevens-crag/crag,swh:1:snp:017e75bc05879a93b641b43834e46069b0c5b1ad
6869,https://github.com/cran/COZIGAM,swh:1:snp:c3832aad4e3377675c0895f999ea7564582daf6f
6899,https://github.com/markush81/JGR,swh:1:snp:fa94358c493a6aa942754cc8c48688fe9b90b94c
7037,https://github.com/cran/vrmlgen,swh:1:snp:b2f60fc6c177d62e7cc6fa3d2f3f474b60bb63c6
7105,https://github.com/cran/fpc,swh:1:snp:ea425855d1b657667b76a1772507cc9b88d7a86f
7106,https://github.com/cran/gam,swh:1:snp:7819f3ff78b92caeb1cf4ffd64ce65412d6f55d0
7108,https://github.com/cran/lpridge,swh:1:snp:01613d0e806af95518abac281814cacaba6efefc
7110,https://github.com/cran/pscl,swh:1:snp:f37899dd0e7b271225eca1142881ccebe21943b6
7112,https://github.com/cran/wle,swh:1:snp:4ae1533569db919ee09e6c8c06f5db6a373072f9
7114,https://github.com/cran/robustbase,swh:1:snp:33277d74b7d5afa5b28eab2586b0ae7a51e5f73e
7115,https://github.com/cran/rpart,swh:1:snp:7d2859a00e20575dd15155b1ae87ffaae2d9d7b1
7119,https://github.com/cran/geepack,swh:1:snp:cd783e81d1acc071e4047f79e3f43f5f94e6c1ee
7171,https://github.com/gplepage/vegas,swh:1:snp:ee925d91cb772ce18cf8f259b6c4ac03e3007269
7190,https://github.com/dginev/nnexus,swh:1:snp:86e586f5e1e537d3866b470a47db6709e9d717f1
7226,https://github.com/cran/yaImpute,swh:1:snp:804e4bec90230b8a3f7769e0ef6822062884ea3e
7227,https://github.com/cran/lavaan,swh:1:snp:0c8628720fba07a14a77901c547bdf01d0b32def
7249,https://github.com/LMFDB/lmfdb,swh:1:snp:1ebaf1e61b7fc69ba5aca95bc74387e3879dc254
7250,https://gitlab.inria.fr/cado-nfs/cado-nfs,swh:1:snp:55bba0df81cfbaf867d001cb96367fa2c3234a57
7290,https://github.com/cran/RGtk2,swh:1:snp:9820e35d662c6f53e41c04202973dda7a852492d
7291,https://github.com/cran/ProgGUIinR,swh:1:snp:6f32f1e0ccb59eaf24a6a84ba4f3f6f332386530
7293,https://github.com/cran/gWidgets,swh:1:snp:599c4bdc3d49160270a75fd249f546da0bb0804f
7294,https://github.com/cran/qtbase,swh:1:snp:ec4194483b608ecb055ce4fd1b14693d0a311eb0
7302,https://github.com/cran/PET,swh:1:snp:a37240b936953fce4e0105e0218468ba050c66f8
7318,https://github.com/cran/sna,swh:1:snp:caa62c4d40d75ea97740941b47acfb16787f450a
7324,https://github.com/cran/topicmodels,swh:1:snp:edb17d3e711327ec13a47f3fd535bae609f6af8f
7327,https://github.com/cran/arules,swh:1:snp:73717c541d92a90e7c6b836510a17f87dfcd6980
7330,https://github.com/cran/party,swh:1:snp:660f98138da23e0662a7a8072d934efe407adee5
7331,https://github.com/cran/mboost,swh:1:snp:597d5ce56ff145f437455d014a82d85864ad89d2
7334,https://github.com/cran/RCurl,swh:1:snp:cb75bbc779e156700c294fe838c3af8b3ff73f35
7335,https://github.com/cran/XML,swh:1:snp:7d9f1bc35e120776766db9334626062f837c20ad
7336,https://github.com/cran/timsac,swh:1:snp:c0ae1c87ca09be7d4061859e2489fdfad0919419
7337,https://github.com/cran/extremevalues,swh:1:snp:6123585f78f0005c2d33b55e5facbeb811d99aa9
7339,https://github.com/jrincayc/ucblogo-code,swh:1:snp:6eedb1da19a602bcc290a95dfe80bedb7646053c
7430,https://github.com/cran/bfa,swh:1:snp:c842381996d242ea1c34cc8ca5d36a270fb56f8d
7434,https://github.com/cran/refund,swh:1:snp:80d6d91b2624e0820e24194cb9aa09dda5ee71b2
7440,https://github.com/cran/mleur,swh:1:snp:8f84491db52c04c055172dabf7dd9873860ac2ed
7476,https://github.com/tpltnt/fREEDA,swh:1:snp:d4d1424556a8077b115ab9b9c24a7dcd34fa0f9e
7509,https://github.com/cran/glmmML,swh:1:snp:4759c47568e46ef0af3ac5e8b28670fbda69725a
7563,https://github.com/cusplibrary/cusplibrary,swh:1:snp:2553353b60af6d8a42d13fd6f67d3c731b4ba9d0
7569,https://github.com/ArduPilot/ardupilot,swh:1:snp:c867678cbb28249b1cf46119516c13efad650e86
7589,https://github.com/poulson/PSP,swh:1:snp:87e2ecba1718f265d710bd1d3256efe41324eb97
7590,https://github.com/poulson/Clique,swh:1:snp:f79f98a7c93dd527893bec204ae0d0fad85118ae
7632,https://github.com/gap-packages/automata,swh:1:snp:80c987e84b639a9f2cfd7ef1ad060d3dcc5f0375
7648,https://github.com/scaryPonens/psoa2tptp,swh:1:snp:174c4b7fdf89cf0cd1038340e64087af2e2f6662
7716,https://github.com/stamatak/standard-RAxML,swh:1:snp:0f5c3b351088a913ba1b60738779dea1e7e26ed1
7723,https://github.com/gap-packages/rig,swh:1:snp:676ab0911a0a3feb5c9621d147b2a04d316abbf7
7728,https://github.com/gap-packages/loops,swh:1:snp:9876c2dd49263fcbed5ca8fe255c55436cba7930
7736,https://github.com/danr/hipspec,swh:1:snp:33df03a791b5f6e15b103257f5912a65364310cb
7751,https://github.com/cran/mgcv,swh:1:snp:729901c6ebd8de2470fa6b60cb0dd2ee29e0699f
7784,https://github.com/cran/DiceOptim,swh:1:snp:c402014a877d1ff12d56d8a8c2da699e63d3ca62
7805,https://github.com/cran/pacbpred,swh:1:snp:31feacf46caf56f92b103bacce907dfd425db2c5
7820,https://github.com/ExoMol/dvr3d,swh:1:snp:110c421bc1992a7cfb5b18e45c5e2dfcf355ae21
7921,https://github.com/cran/tgp,swh:1:snp:0a0b2dd279763db7584e83266c93f973ae84d0c8
7940,https://github.com/cran/PBSadmb,swh:1:snp:e2b8284994c534fd835070e109e943d3ef4b0272
7941,https://github.com/aldenwalker/scallop,swh:1:snp:d8074c3f6ed9f0e40feeb4b8acc71fe3638178fc
7949,https://github.com/cran/plsgenomics,swh:1:snp:25c6497f58185b15683994762f5e7afd02231683
7951,https://github.com/cran/simPopulation,swh:1:snp:2555bda823b1e2190a7a76881fa3254d350a8ea2
7953,https://github.com/cran/sdcMicro,swh:1:snp:660c67e4e6e81bcc53049504d4cbe3b099429e73
7965,https://github.com/cran/spam,swh:1:snp:7875904d829b41b64b065793b785b5068a592b32
7966,https://github.com/cran/locfit,swh:1:snp:2552ca72397b26d1c4bc45f9503fb6909636d138
7971,https://github.com/cran/QuACN,swh:1:snp:2136349677d6af86386c983c20607949ef16e1d3
7980,https://github.com/cran/RSiena,swh:1:snp:521a11a701fb7261bf79113c22583fe1af5dd542
7985,https://github.com/cran/e1071,swh:1:snp:c70ca21ce2039c15023fbe2fac4f3773884093e8
7993,https://github.com/cran/twang,swh:1:snp:e4777a8d6fb6c5842e2156035280c8f7b67e2983
7994,https://github.com/cran/gbm,swh:1:snp:1144ff7f51644c1081bfa190c5f567d103de7020
7995,https://github.com/cran/BayesTree,swh:1:snp:004d1df8efb941af1390adcf58ae502067a17909
7996,https://github.com/cran/gee,swh:1:snp:0d367d1e1dadec68f47530c99e60db89f7bfddfc
8007,https://github.com/cran/race,swh:1:snp:888998a1a9ad03c6aca6928f84d2bf8109c8fce6
8013,https://github.com/cran/ks,swh:1:snp:51a86962d8a9e2e98a97697c291bbdc670b2a6a0
8016,https://github.com/cran/sampling,swh:1:snp:6f14b323293b5bdcb8cad602cbff6535949ada5b
8029,https://github.com/cran/snowfall,swh:1:snp:a0be1fa8cb11dd3033e9c81abdf0b5f6e8860a7c
8037,https://github.com/cran/Rdsm,swh:1:snp:bffd1b11f74ecfac71fd66c11a58cf2e97c3410f
8038,https://github.com/cran/soobench,swh:1:snp:7909791a10a0587b12cdd4faa9481bdca86a8de1
8039,https://github.com/cran/rjags,swh:1:snp:b04280cc994dae52c252598f2570b5a62f6bf01e
8049,https://github.com/cran/multicore,swh:1:snp:b770964fb8daf1515de49f9592389265708c8527
8051,https://github.com/cran/GenSA,swh:1:snp:ee5b92c3c8ff989355a50b50feaad0e83fc12454
8052,https://github.com/cran/Rmpi,swh:1:snp:7f2ee0b07f74cd304f0dbaf2e9626b385da45ca7
8073,https://github.com/cran/tmvtnorm,swh:1:snp:c093de3e3cdb5ebdeee23736af7fb1dc4d3f30d6
8080,https://github.com/cran/LogConcDEAD,swh:1:snp:db3e4e1001375ac4bc66118c3aee5ab550a188b8
8096,https://github.com/cran/msm,swh:1:snp:38aae4384ce481a5980e087b0cf3b9d278cb5d7b
8131,https://github.com/cran/laeken,swh:1:snp:814f6bc6c016ff7e02b1c102e57fa4628e282437
8133,https://github.com/cran/randomSurvivalForest,swh:1:snp:84ce8b909e03d25896341ef3c8bae0051c0d5266
8142,https://github.com/cran/missMDA,swh:1:snp:64aa8c6c1b200153b090ec56cf137e652be638d6
8143,https://github.com/cran/NMF,swh:1:snp:6765293e45d45b1511477ed47c5ee5b77cec4de5
8147,https://github.com/cran/WilcoxCV,swh:1:snp:64f6337ab82cddb5b67d8ee0c17a4a2809404898
8154,https://github.com/cran/SuperLearner,swh:1:snp:e4944e7ed38ea1a36ff1fea517747d6047f168b1
8161,https://github.com/cran/CDVine,swh:1:snp:294730d339d018dfe5e5034f746cbf3831e44d95
8552,https://github.com/nbronson/scala-stm,swh:1:snp:e0eeba1e9d641205aaa74cb6872b66eaefcb21d2
8560,https://github.com/frankluebeck/EDIM,swh:1:snp:b93751b96debb3ec65ced22075accc6d4892809e
8615,https://github.com/JohnCremona/eclib,swh:1:snp:006fbd7a1d7ce908ccac4327673f1859c26e31c6
8647,https://github.com/bh11/irredsol,swh:1:snp:1e4d9a35297fdad4940f1c4950be01806c38fe02
8648,https://github.com/gap-packages/guarana,swh:1:snp:59c06a77856b73ce52d30bf8e71d9e62baf23448
8713,https://github.com/precice/precice,swh:1:snp:81ef31d177aeaa6aac8afeffb65de89dd457c086
8769,https://github.com/holgerthies/iRRAM-analytic,swh:1:snp:4fe948f701af8184505e743f604f467b75df437e
8771,https://github.com/michalkonecny/polypaver,swh:1:snp:3640103f8c09f111368105196ddd8fb006b18181
36233,https://github.com/gplepage/vegas,swh:1:snp:ee925d91cb772ce18cf8f259b6c4ac03e3007269
21198,https://github.com/gap-packages/resclasses,swh:1:snp:cc1b14437297d5f1cc0c914fb50f32e0f43c329c
21201,https://github.com/gap-packages/fwtree,swh:1:snp:89a3c36148834b15d5cb16f045d157596ded37b4
21249,https://github.com/SMAC-Group/gmwm,swh:1:snp:6e6248bcb83c1bac2f43d44efc5224d34dc4f542
21265,https://github.com/cran/Directional,swh:1:snp:7566a13b76099c16ef2eb5e68bc32e9fd86c94a9
21271,https://github.com/statsmodels/statsmodels,swh:1:snp:d789d815549c5ea0fdef2e8d7408c7f3130dd366
21273,https://github.com/brfitzpatrick/forestviews,swh:1:snp:db09a4ce71c5ed06aed678d8f4538f8474c9187d
21297,https://github.com/fempar/fempar,swh:1:snp:de1f3c6ad91335a88546d4cc4b6b9e6636b4df48
21299,https://github.com/szaghi/FLAP,swh:1:snp:a715a668ea79a6841b375abf9cd8aa5b2f9a5382
21302,https://github.com/gahansen/Albany,swh:1:snp:4cd4de9ecd0ac0beed5857fa5150b61b5c73b5ba
21303,https://github.com/libantioch/antioch,swh:1:snp:743a2ae483823e09f3caab7fdb5bb88d9c6d1e26
21311,https://github.com/cran/STAR,swh:1:snp:257a4e63d61f3a5b664b1fa6770d2383096cddb9
21313,https://github.com/cran/hdm,swh:1:snp:1775c1b52fb49db67cb6c8439223b13d303e53e5
24022,https://github.com/0todd0000/rft1d,swh:1:snp:c2d7d991d8b8cf824c0bfe8ff9dc1117934913dc
24025,https://github.com/cran/SemiParSampleSel,swh:1:snp:c2288c108062f0e0dd97352858a1eb28f1154c61
24027,https://github.com/cran/intReg,swh:1:snp:de3833bf4ad0b81ab7e0734023a1bd0791c38403
24030,https://github.com/cran/orca,swh:1:snp:8a1241bbb11cef17fe1cf370e4ca1d238bd2e7e0
24034,https://github.com/samb8s/PsrPopPy,swh:1:snp:92f6a77cfcdcfa9dd2d31b77b745ea1cca75b50d
24061,https://github.com/cran/OutbreakTools,swh:1:snp:2cfd6f25cbbc8ca800046f61f957bf818b73076d
24064,https://github.com/cran/PurBayes,swh:1:snp:daeca44d2838af601164607d40ac374f2ac3e05f
24074,https://github.com/greeshmaswaminathan/Kendo-On-RoadRunner,swh:1:snp:74b3448bedfe9fea16ca1536aae6061b45bf6214
24075,https://github.com/cvxgrp/ncvx,swh:1:snp:fb1eb8ea2a3b9ff69174eb3f07177117dad930bd
24090,https://github.com/cran/PoweR,swh:1:snp:b81884a994519e13ce4db52c1c098ce3f3b1e5db
24092,https://github.com/cran/ezsim,swh:1:snp:7e8cbd79e9737692429235d497ddb5e3798f6f8a
24093,https://github.com/cran/simSummary,swh:1:snp:2dea249bcf5e813d77fbf4be4711ed244c731c5e
24095,https://github.com/cran/harvestr,swh:1:snp:cd72d32fc2150296b8b4ff7a969a7c65698e637d
24096,https://github.com/cran/CountsEPPM,swh:1:snp:3e655d9692b36e32e1c6c63c74cc634c3fa78b18
24100,https://github.com/cran/shrink,swh:1:snp:4f99d1e4a2b28e666921fa4d0aa99a85464a5247
24107,https://github.com/cran/gsbDesign,swh:1:snp:1d7d63d7a0602abb424b71feadb89240610efd81
24115,https://github.com/cran/UScensus2000cdp,swh:1:snp:12cd13cae7127874798bf93baf4e78a152d0e3b7
24118,https://github.com/cran/BAS,swh:1:snp:75093716c46133fbc409b29b2e0df84b96458b08
24122,https://github.com/mmaechler/miP,swh:1:snp:4cdce6d788b6fdb3ec5ce2d92d5e57b35a0ec762
24135,https://github.com/cran/brew,swh:1:snp:837609fad77bbecf1f374308fd3d87218029ed35
24137,https://github.com/cran/mr,swh:1:snp:1b516bce3d6fe12f496e48c7ff28629f12b7bd73
24142,https://github.com/cran/vegetarian,swh:1:snp:e4435512f56a8e5e826420d66928ec36a9b46d6d
24143,https://github.com/dmbates/MixedModels.jl,swh:1:snp:222bcf0c21728b960f80eb2623976c563e9efd6a
24144,https://github.com/lme4/lme4pureR,swh:1:snp:a7746b15d6e10f93c1dde2288cddc0add74841a2
24148,https://github.com/cran/dawai,swh:1:snp:ebe7eacba27024be007067e429d9884e2129cd79
24149,https://github.com/cran/rrlda,swh:1:snp:730b0e0c5a7d3687f99de954815aea2de494fd2b
24158,https://github.com/cnowzohour/greedyBAPs,swh:1:snp:78a078e3bf81c07a5119bdbedfd7d434a1b2fac4
24161,https://github.com/awslabs/s2n,swh:1:snp:597fe41fa7386a8b4f841847b6831b4e266d359e
24170,https://github.com/cran/pastecs,swh:1:snp:1e0c579d20b13896b70a1cbce331c51bc51576de
24173,https://github.com/cran/groc,swh:1:snp:8c7d3e854117fcf1a6587046b4c20c137028c0e1
24174,https://github.com/cran/ppls,swh:1:snp:86d2c5d142d483b0e6b29306bcd8aa271d0de83f
24175,https://github.com/cran/SPIn,swh:1:snp:c27c7a4c2bef12d92e786431649e514550d58728
24176,https://github.com/cran/PCovR,swh:1:snp:b67d868d42e479ec6e1c4dea4b77d4eb430d9b9b
24178,https://github.com/cran/GeneticTools,swh:1:snp:054e551b2bd63783fc3749f3d7b0b80aefdd0e55
24179,https://github.com/cran/clinfun,swh:1:snp:ff0951ca787d0b7f47dc2335f47fed43820a6324
24182,https://github.com/cran/fugeR,swh:1:snp:c4c7c7829de8d5bbab07eeb773a414533362b937
24190,https://github.com/cran/DiceEval,swh:1:snp:f1aff2d1e24762d95baa53e2cacc4bea5ce34768
24192,https://github.com/cran/DiceView,swh:1:snp:4003614a59b6297d2236d8f16fae7686a801108e
24193,https://github.com/cran/iqLearn,swh:1:snp:a45671dc9686ef7c97bb0c6ab2a7d988fba46a09
24198,https://github.com/cran/CompLognormal,swh:1:snp:f1ea263b2116eaf58255dd3b353635fa34aa8993
24200,https://github.com/cran/informR,swh:1:snp:425f83d55f56028132e0958bccb6bf32ded170cc
24205,https://github.com/cran/SAVE,swh:1:snp:530468b32e40f5d5031f9b37185a42cbe9cd8dae
24207,https://github.com/vesselinux/yaarx,swh:1:snp:74e49d04be2b1741c42db63bacbb4236de01f5c3
24214,https://github.com/cran/micromap,swh:1:snp:60d406f3ce405d1a6cfea2bf0ffcd3f0908fcc6f
24216,https://github.com/cran/GISTools,swh:1:snp:312f30c0521b191a6e7fd8a9d1106f35f53e87f9
24218,https://github.com/aryanraj/cesium,swh:1:snp:234306378253c580ea66bc0e4f2d0b77cf09bf68
24220,https://github.com/cran/aqp,swh:1:snp:caec5807597b3724991efc97bdfbc5f4f1d0a621
24222,https://github.com/cran/signal,swh:1:snp:8feeaae035a4ab680d913242781649a71b590ade
24227,https://github.com/jessezwu/IntHistGC,swh:1:snp:8347d9b6abd85330ce1e9a4c4d997a2e762a755a
24232,https://github.com/cran/GSIF,swh:1:snp:a582b3e9149799c586945eaf023f1a515bd11b03
24236,https://github.com/cran/ads,swh:1:snp:edbdd5e6db3623e10b6e2f30926f6658fa90b3c1
24240,https://github.com/cran/geoCount,swh:1:snp:2d9a86fe7ef2d29dcee2cf94a5a30f052d0972c5
24241,https://github.com/cran/SPODT,swh:1:snp:f13560cadbd64c1022469b2fbd5298ada9339c29
24245,https://github.com/cran/plotGoogleMaps,swh:1:snp:1770adeab8ce92f83a8b7d330337ef8506669752
24247,https://github.com/cran/loa,swh:1:snp:5243d66843d6c4b4345a0b1e78d350918543bebe
24250,https://github.com/cran/gptk,swh:1:snp:1cf4fa2403b043b12209076fb355f615fdaa66bf
24251,https://github.com/cran/geostatsp,swh:1:snp:40e64f2811faced0ac9be30b7f9f9e05a5b3aa09
24255,https://github.com/cran/sspline,swh:1:snp:3daecb3bc33f140730e8b655c793192340916abf
24256,https://github.com/GeoDaCenter/GeoDaSpace,swh:1:snp:380167cc5c37a3a268ce264eb40b2baec481a7cc
24265,https://github.com/cran/OpenStreetMap,swh:1:snp:27e49a6373d3b904126662eb024cdac73674fe00
24268,https://github.com/cran/wmtsa,swh:1:snp:2050917fbd8d84cfc304ab4e4aee9c603ad0dcaf
24269,https://github.com/cran/longitudinalData,swh:1:snp:b449c46754d6a58b6c27ad592874182bb81a56cd
24270,https://github.com/cran/x12GUI,swh:1:snp:c8a0e32aea7631bf4cb95caf3b354be0011b37c2
24276,https://github.com/cran/bamlss,swh:1:snp:5af6c72359b60d0ddaa97e1b2d63c582ca746d68
24279,https://github.com/jdemetra/jdemetra-core,swh:1:snp:cca919798a87d2e33f78f6f5615362fbc7e127c7
24292,https://github.com/cran/ipw,swh:1:snp:e54d67194ffccf8876aa3447e0581832f26781e6
24297,https://github.com/cran/hybridHclust,swh:1:snp:357b949c55e3b2e21c4e68ccc8a74025bce22c0f
24300,https://github.com/cran/clustTool,swh:1:snp:f9c1bb306242520332f235aa532928049c67da44
24301,https://github.com/cran/DiagnosisMed,swh:1:snp:27a5b3636c7165cd3e990f1e9abf11cbffca7d2f
24305,https://github.com/cran/coneproj,swh:1:snp:09168d915f25173b6e28179e5f50c794936328a4
24309,https://github.com/fabiansinz/natter,swh:1:snp:2788090ba312883b0b1779a3c217958eccbc5551
24320,https://github.com/polyglot-compiler/polyglot,swh:1:snp:967de3644183670a4b5b33060c67239852173dfe
24333,https://github.com/cran/hdlm,swh:1:snp:35011a8dd6576781bd21f4dd5166359e30ac8c75
24339,https://github.com/cran/mcga,swh:1:snp:94ba68ee0847e654867b90376b6ecf6d48bba14f
24347,https://github.com/PythonOptimizers/NLP.py,swh:1:snp:68a3fdcfae0ff94ed3127610d80189bcaf957f52
24348,https://github.com/PythonOptimizers/pykrylov,swh:1:snp:bf61036199341650adacedde6ed6f3fa8c09c112
24357,https://github.com/cran/structSSI,swh:1:snp:6e7413c4d06300f2387604afadb68ca25ff66f63
24360,https://github.com/cran/MiscPsycho,swh:1:snp:a3fd4aa49423d2da0d0170f392989105a231f9cd
24362,https://github.com/cran/phtt,swh:1:snp:42f889d4e96ec6e838e521c8a20a9aae7251dc5a
24367,https://github.com/cran/distr,swh:1:snp:5fbf4f443ff450d9dbe64c4b605861bef7305565
24369,https://github.com/cran/RobAStBase,swh:1:snp:83173c7f0baf35baf1e3099531ccf234c20b2d07
24370,https://github.com/cran/distrDoc,swh:1:snp:021e744a5ed2e2c0ab45b52f3b488db99d4574d3
24373,https://github.com/geomstats/geomstats,swh:1:snp:4531b8627ffb781c17b15c653a6e9948445678bb
24374,https://github.com/AndreaCensi/geometry,swh:1:snp:22ba1e0e9293ec7d6671cb6fd4994390be16daf0
24387,https://github.com/cran/skmeans,swh:1:snp:f6fd4e4536c6a2d08432bc85c1147b144897e151
24389,https://github.com/cran/SWordInstaller,swh:1:snp:e01ffe6054a3e6dc2d5e50d0f7af1ee96f993290
24392,https://github.com/cran/QRMlib,swh:1:snp:ebd393ae06d6770c906cbd72a4174794db273365
24399,https://github.com/cran/FIAR,swh:1:snp:6af5007096986cef711b287691bd000d90183a3c
44471,https://github.com/ma-laforge/InspectDR.jl,swh:1:snp:b9f38df901f454aa7fd9944285891dfb8988dab6
44462,https://github.com/baggepinnen/SpectralDistances.jl,swh:1:snp:5609f5e6bbe66b2f7d4fceae5ca6dfcf877f1c5f
44461,https://github.com/complexvariables/ComplexRegions.jl,swh:1:snp:ee507f9c1cb467357e8a553df1bf574090647719
44459,https://github.com/mmhs013/pyHomogeneity,swh:1:snp:3d521f1b64d03c04b5c9c91ec7c50b400cdd9438
44458,https://github.com/dysonance/Strategems.jl,swh:1:snp:2538ea107b9713ac5676485892acee14e6031df5
44456,https://github.com/JuliaQuant/FinancialDerivatives.jl,swh:1:snp:1858623143e26c7bd9006a542959c0f203771f13
44455,https://github.com/USU-Analytics-Solution-Center/Bruno.jl,swh:1:snp:94180ffe9badefe5e40199b672df1fe45594bfd3
44453,https://github.com/zebrain-lab/Toolbox-Romano-et-al,swh:1:snp:ef5012e1616ffb9e9d55b86f30bf11731fc72fc7
44450,https://github.com/SuperElastix/SimpleElastix,swh:1:snp:ce1e56cd199cca0f4d911ae5a34bae815110b167
44449,https://github.com/NTCColumbia/moco,swh:1:snp:b3fc7eae0ebf5cbec8d95d840e1b467240594d7a
44448,https://github.com/grg2rsr/ILTIS,swh:1:snp:dfff7cddc0ab1ec3368cccd84efc639453429286
44446,https://github.com/wasiur/dynamic_survival_analysis,swh:1:snp:90f1298c2a95a7d96b7973c196f33bd76baf9dcb
44444,https://github.com/PQCLab/pyQTB,swh:1:snp:b57c4101bdba4fd13bb544c3fdc43c6648fa31ca
44443,https://github.com/PQCLab/mQTB,swh:1:snp:bc847a1fa5ba51e8bc1cce7d6413ad0ae32c5077
44442,https://github.com/PQCLab/mRootTomography,swh:1:snp:a4fe8bf8371b0868eef186e5009f43d3d4c4c520
44441,https://github.com/qMLE/qMLE,swh:1:snp:b75de4ff1e30b9808c9591e725fe44367df1f60f
44440,https://github.com/Jianxun-Wang/phygeonet,swh:1:snp:848ced7a86631123a77c5f0fce9ffa940867648a
44439,https://github.com/Duankaiwen/CenterNet,swh:1:snp:84cea9b555743e9bc6557e7ba3efa3adbe09955d
44438,https://github.com/zoraup/SPNet,swh:1:snp:f96c87313d87a2695e5d139783b9f2e08c2e6873
44432,https://github.com/OptMLGroup/SONIA,swh:1:snp:47e8309b9806c0d3b8575dd1b82313566aae734c
44430,https://github.com/minaskar/hankl,swh:1:snp:d88ad69df9ca26fdb0a2702141095464aca764e8
44428,https://github.com/liuhao-cn/fastSHT,swh:1:snp:47f342dc6121054acafe811874838ba30b55807f
44427,https://github.com/CosmoStatGW/WF4Py,swh:1:snp:e1dd13cd1ac1cc2ba7da29b0752b0f00019d8c8a
44426,https://github.com/CosmoStatGW/gwfast,swh:1:snp:83de93d62e445d5d8567361e9ebf6b6284b464da
44413,https://github.com/davidegua/max_geo_compression,swh:1:snp:eeeb34eb3ebb7159882eb311159c1b0e14bded1f
44412,https://github.com/franciscovillaescusa/Pylians3,swh:1:snp:95e1dc60410cc2e5bf32ab9b494ed506a9a080a1
44405,https://github.com/lgarrison/AbacusCosmos,swh:1:snp:9f6e9c7f263abb8a56dc4ca89fe233475a82d27c
44401,https://github.com/heatherprince/planck-low-py,swh:1:snp:530edb99838339b9b8c2830a8ff2239099de0889
44399,https://github.com/CompiledAtBirth/pyCARPool,swh:1:snp:0d047035ef32220c034359ac5bd63ccc3b3ea569
44398,https://github.com/marius311/pypico,swh:1:snp:ba5b7e5da76fae45894dfb3b181a9f4233a7995b
44389,https://github.com/mrempel/geohexviz,swh:1:snp:63d9608c1328795e8cd56955a633f2e6654a72c5
44369,https://github.com/nucypher/nufhe,swh:1:snp:828c0464e487e1ce0d98b893d482b0c40ed0010f
44367,https://github.com/nucypher/zerodb,swh:1:snp:294cbee47f7b737fd822ee8b3f216fdb45904a6d
43090,https://github.com/bobkopp/LocalizeSL,swh:1:snp:f1ea6cd9f03e3d94bbe8538e1e62e273a2583066
43085,https://github.com/cwant/tessagon,swh:1:snp:dac1f2dce4f876b823a80c9def856817a543d720
43084,https://github.com/JuliaGeometry/VoronoiDelaunay.jl,swh:1:snp:d0a7210ea2d9e72439670775219213089015aacf
43067,https://github.com/huanzhang12/RecurJac-and-CROWN,swh:1:snp:f257a1b13f796a27f0f0c6c1203e8c8153cf1b22
43066,https://github.com/jjzamudio/HIGAN,swh:1:snp:cf529eb50f0d44ec528d3e6d08057ca2538a4135
43065,https://github.com/AlessandroGnoatto/Deep-xVA-Solver,swh:1:snp:862aeefcbcf76d3b5fb0d1689be04100b0c60d84
43062,https://github.com/nsgrantham/mimix,swh:1:snp:239bd773f55900633db00ac6362c8d83ea9d72c7
43054,https://github.com/luwstat/regPOr,swh:1:snp:33e26155aa087cf1308750ffc9b33c7b7db937a6
43052,https://github.com/amadoudiogobarry/hidetify,swh:1:snp:33963a85cd76616b121e9a73efa9b1225e825c1d
43041,https://github.com/yuxiaohuang/research,swh:1:snp:75a787f45cae6c3939c822efc8104794d7c94bc7
43036,https://github.com/VincentPerreault0/timbretoolbox,swh:1:snp:21db87560193ac21bec96422501e343b5506489b
43034,https://github.com/grockious/deepsynth,swh:1:snp:af994c36843c946a6e6ac34b68487e3e3b624c76
43024,https://github.com/isap-lwc/isap-code-package,swh:1:snp:709a55ad73f2d50bd845e5e611d75b4c1e4ced9e
43021,https://github.com/hdirector/IceCast,swh:1:snp:2a07c046907a887da4a3d119b57aab3cc87e99f7
43018,https://github.com/MD-Studio/charge_assign,swh:1:snp:522e5d8021156cb70eaafffaea9c083ed850fb67
43008,https://github.com/LIS-Laboratory/cupc,swh:1:snp:bea1d80da6bb37f51cf73cc53eb66011e28d3e98
43005,https://github.com/LAStarcevich/TrendNPS,swh:1:snp:55a3078921fa46acac0b5971a8450de3655a9614
43004,https://github.com/itamarkast/slgloss,swh:1:snp:f6ceb42514ec42311ed3d9d26ba13e59999cb44c
43001,https://github.com/bcm-uga/NaturalGWAS,swh:1:snp:ff915f7042012af68e7995e23dfbd6c11f849a39
42997,https://github.com/jbalint/quickfoil,swh:1:snp:b5f70175b8864d4f5e01799dcfe780f6e19376fe
42991,https://github.com/LEDAcrypt/LEDAcrypt,swh:1:snp:9c31b2546058fdf5388bef59bdfaae522d384626
42986,https://github.com/arakotom/mars_domain_adaptation,swh:1:snp:4935547e75ab1ca5be7a2e6eb2a98400697a0c77
42980,https://github.com/adopy/adopy,swh:1:snp:f2569e2e082fb2a93aba39dab8b0441a925540b7
42976,https://github.com/cran/NGSSEML,swh:1:snp:8bffa6e16417ce22482e857f310227e5e682330c
42964,https://github.com/smotsch/Vicsek_microFlat,swh:1:snp:7b0296acb3a127982db31662cded8b39235c0c10
42960,https://github.com/PeterJacko/BinaryBandit,swh:1:snp:db83095e4e285987d41dc8dd6b9376d06f86b223
42959,https://github.com/cran/retistruct,swh:1:snp:f43e1b54df1c00fc28d1448a22de15f43ea14ea9
41728,https://github.com/BiljanaJSJ/IMIS-ShOpt,swh:1:snp:7b119f2d3251505b2d429940724389d7b1eedd28
41727,https://github.com/amitcrypto/ARIA-Blocks-Qiskit,swh:1:snp:b2f5cb75ff4ba83fc7b17b0c7b1acb8349c2739b
41726,https://github.com/EddieYang211/ebal-py,swh:1:snp:fcced66528fcdf71f237a97c864f2b27108c77da
41724,https://github.com/lucamata/ExteriorModules,swh:1:snp:034ef86578ee855c42b7f0d2c6eca252746c43e2
41720,https://github.com/lawremi/rsolr,swh:1:snp:1355ac70c51559bfdedccdda5ea8e156071d052d
41719,https://github.com/k0dai/spookyhash,swh:1:snp:8bc20f02eee95f5207f587c3e7894cb858cd6f0b
41716,https://github.com/petroniocandido/COVID19_AgentBasedSimulation,swh:1:snp:2ddd5e93230e07bbc8f86dfe5fc08226d69a6227
41712,https://github.com/spreadthesource/wooki,swh:1:snp:973c037a456b3ded40ba05789bbb561818505aea
41711,https://github.com/TGOlson/woot-haskell,swh:1:snp:fb56f9886f69f46fbb0f0d6faa2f0518c4292c6e
41710,https://github.com/d6y/wootjs,swh:1:snp:27069aa41282e065b4a32bb06474d60dc535caca
41707,https://github.com/kroky/woot,swh:1:snp:91ba63e85112eccd685e559108d645593ae50037
41700,https://github.com/akosba/jsnark,swh:1:snp:cd423bd7e0370a88be01dae484e65316d248d25b
41699,https://github.com/sunblaze-ucb/Libra,swh:1:snp:60285b8359a8d2fd90a61e6b51cdb341bc0b9e33
41696,https://github.com/jrprice/Oclgrind,swh:1:snp:5a549f363f6df434e5e5bd8f6117ed4fcd3ddb15
41695,https://github.com/NLAFET/StarNEig,swh:1:snp:9751a4254f9498e763ea5d62413a680b92c2b8f6
41694,https://github.com/NLAFET/StarNEig,swh:1:snp:9751a4254f9498e763ea5d62413a680b92c2b8f6
41691,https://github.com/zhenguonie/2020_StressGAN,swh:1:snp:ce13e5c3c972953e06ffa52f0399e5991344fd84
41690,https://github.com/opteroncx/SESR,swh:1:snp:4a0b43ab9c3baadc7de77ef18e6140df25c421db
41682,https://github.com/nikbpetrov/mufos,swh:1:snp:2647dc48dff8c093bd6c43c74a673ae5407aca30
41680,https://github.com/oneflyli/Yifei2020Dimensionality,swh:1:snp:4bd667fb026a93189781f53e637e5bfe37a7707c
41679,https://github.com/ProfMJSimpson/Substrate_Mediated_Invasion,swh:1:snp:6073d30bb8a1cc5b8e3b199ed58dece3481737d5
41675,https://github.com/itdxer/neupy,swh:1:snp:6307666271807bd9028e3e60dd2536a544ed8421
41667,https://github.com/cristian-mattarei/CoSA,swh:1:snp:61037a0833fec4736c4d31da1cfcd6748e478333
41665,https://github.com/SRI-CSL/sally,swh:1:snp:4e37adf0f04f87a45dcaf9390a23eb99f0e4049f
41662,https://github.com/tdhock/binseg,swh:1:snp:719b739f623108408887021e6f9a25844192c9bc
41658,https://github.com/cran/CombinePValue,swh:1:snp:13142464b73475d45fb18bb1454de225a5b20766
41656,https://github.com/cran/metap,swh:1:snp:79251cea1426930c2fdb77579636f3c8349e1d0b
41648,https://github.com/uzeful/pydensecrf,swh:1:snp:c68cc57ba58b1ee87de77b13a3a8941c24a298d9
41643,https://github.com/francesco-patacchini/interaction-equation-attracting-manifolds,swh:1:snp:ea4eaba7331ffca08b5188625d87bb00d4eaafa4
41641,https://github.com/osu-rsrg/BDD,swh:1:snp:9e260ca33a2e55e3a51e5cba51e69fcbe6c94a48
41636,https://github.com/msantolino/Median-Bilinear-Models,swh:1:snp:6b042dc8a2446a1d7881ed5dead28680a3b7e9ec
41632,https://github.com/ecthros/uncaptcha,swh:1:snp:b6dde11faa25c80767ccadb069c703995e2a6c2c
41630,https://github.com/Hippogriff/CSGNet,swh:1:snp:c92f4c35d2a3353840f3e487c901e58fd2882cd0
41626,https://github.com/RuoshuiAqua/CRTsampleSearch,swh:1:snp:968ee58fbd48b8bcda47a07985eaa7f68bc562e8
41622,https://github.com/PyRsw/PyRsw,swh:1:snp:97358b8b43d3ef9a78288563b8916dd7b1b91b00
41620,https://github.com/samee/obliv-c,swh:1:snp:bec564bb1a8cdfea27c31ae4121a464edd8a9cdf
41596,https://github.com/Xilinx/CHaiDNN,swh:1:snp:da73069eabaff99a2dc93611f2b62864af19f98e
41590,https://github.com/defeo/seasign,swh:1:snp:bdece02a4306c35c8d7978d794d0e36e6e512052
41589,https://pypi.org/project/pypblib/,swh:1:snp:e88bfeb1369307a4da1464a2dd435b8d6f85b258
41587,https://github.com/ahorn/smt-kit,swh:1:snp:2ed8d5d1987f0402aa529e3bee29bc60b9b05938
11218,https://github.com/cran/medflex,swh:1:snp:3a781c35cc94650fa93520c358b27d803c4e3962
11221,https://github.com/cran/Compounding,swh:1:snp:128539d5ca1998309962063c5f3c54101db5b161
11224,https://github.com/cran/knitr,swh:1:snp:3535629290f04f132cc62308bc979b579379ee69
11234,https://github.com/gap-packages/crystcat,swh:1:snp:0fb52d9a9d9501dc2e6c2ceacaaa8758d5f266e8
11242,https://github.com/cran/Momocs,swh:1:snp:f8218680a1ae88c9eb1139a433b8dfbb4ba967ab
11243,https://github.com/cran/moonsun,swh:1:snp:87fe7f2b2f9355aeec7b85961d77ffed6d2d5cd7
11262,https://github.com/slra/slra,swh:1:snp:9adfaf1d9209ac4a250a3b56cc0cffae58c4c975
11263,https://github.com/cran/lava,swh:1:snp:287c6cca84ea55092d80b1825e7be9abf4719550
11270,https://github.com/cran/bbmle,swh:1:snp:13ceaf33a0cf03b54a9c83ec2c853f3c4226f6da
11276,https://github.com/cran/ucminf,swh:1:snp:8e092ba96cd4887cf2a299f32a4d41fc0c154030
11281,https://github.com/cran/MplusAutomation,swh:1:snp:c7bebb325c144c6a54034557e12d6991bf03b85a
11282,https://github.com/cran/MSeasy,swh:1:snp:2108e5ff1588bba5e83b9c9dfbb5bc485bcd612c
11293,https://github.com/cran/XLConnect,swh:1:snp:8d1524057060c3e651eb36ca16bfc9c2cb76826c
11295,https://github.com/cran/gdata,swh:1:snp:9925ae29e944b6eec05c3e58110fce81dfaf7287
11296,https://github.com/cran/stringr,swh:1:snp:6bc44b3a1baa61f58cd9c1532e7d990daaab8b00
11297,https://github.com/cran/timeDate,swh:1:snp:3758ab144e6176ec77e5c676e6ae690a6758c893
11301,https://github.com/cran/NestedCohort,swh:1:snp:7f305c0365ea99b933f0ffc007eb2c2bda67716c
11303,https://github.com/cran/NMOF,swh:1:snp:b323693c7fae8127cb749c2c2b542c33b0ac1a41
11305,https://github.com/cran/NPsimex,swh:1:snp:af06a0793d1079ab8cf28d75a2e3726e1d287d60
11346,https://github.com/cran/PANICr,swh:1:snp:37141200d0e225e0d7ad3a90c20b337ca6848737
11349,https://github.com/cran/PBSmapping,swh:1:snp:cccec7aa623bab1f91a4fa24579721103722b0a6
11352,https://github.com/cran/PredictiveRegression,swh:1:snp:037eef3e7034a23e41e84451d837c8b45e38b167
11356,https://github.com/cran/ProbForecastGOP,swh:1:snp:82b8702dbe0e1307993ec081500ac11770aaeaf6
11376,https://github.com/opencv/opencv,swh:1:snp:17474bd5aa7587875048f52163ed43c3a06adc19
11393,https://github.com/cran/linLIR,swh:1:snp:6803e7ad28c9ae376f578eaf968cc022b6e1d2a2
11394,https://github.com/cran/minPtest,swh:1:snp:fe8cc1ac3aeaf53902b25cfae0136e7dafa0d745
11476,https://github.com/uci-cbcl/GBMCI,swh:1:snp:0f0e5b0d6c5f104d6f932ce4d05c14f59111387c
11488,https://github.com/JJ/nodeo,swh:1:snp:394a608690c2390660f40aa4af208fac0e0a98b7
11540,https://github.com/gap-packages/genss,swh:1:snp:f28daa9fc1914148be8c3482021e2be8098ada70
11588,https://github.com/micciancio/SWIFFT,swh:1:snp:fafc456b8bfec053f3378d724448e50b63ac9a44
11596,https://github.com/cran/pcaPP,swh:1:snp:f602141dca88dab8c28a6440606916ebf21b212d
11599,https://github.com/cran/Rmpfr,swh:1:snp:6aa0ce67f86522c1e1ee98691a3b7281bc727348
11600,https://github.com/cran/HyperbolicDist,swh:1:snp:bec5db9b5678361aa9a3f8db06ce5412e78dc2fb
11602,https://github.com/cran/GeneralizedHyperbolic,swh:1:snp:49e9229b677fb78c9ac3db6679094ae6c62700a2
11603,https://github.com/cran/VarianceGamma,swh:1:snp:f70251061c1e166cdf095641bd66e5184c0bd5b2
11604,https://github.com/cran/SkewHyperbolic,swh:1:snp:caee65f2cdadabaf240d3c44645b5e23f1d882d6
11606,https://github.com/cran/movMF,swh:1:snp:b62637c609d7fb5bab62ed392c4114b5a79f48a2
11609,https://github.com/cran/adagio,swh:1:snp:bb3e6276163bb366ee582013f071fe632319dbb6
11610,https://github.com/cran/expm,swh:1:snp:81fdc64664d89e92195681965c0a6a242b1e8270
11611,https://github.com/cran/GA,swh:1:snp:71c067b1db54e30ba39b969c0639cc7d06a669d0
11612,https://github.com/cran/gaoptim,swh:1:snp:302fa9d379adc7c98a6fab2217b77cc5fa52b204
14542,https://github.com/cran/PerMallows,swh:1:snp:d0546aff0c651ca61b30a8e6f340149e9d750442
14548,https://github.com/cran/CopulaRegression,swh:1:snp:310908323c9c8f752a992816843f54301c13ec94
14556,https://github.com/cran/dbstats,swh:1:snp:87df4380df105559ebb0c13f89e43c3b7ad5ff02
14561,https://github.com/cran/hysteresis,swh:1:snp:c656b5d55f704d921f39682a1dbc535160c6adb0
14567,https://github.com/cran/FRB,swh:1:snp:df31f7e61a2acf0e76bab740601a1afaf94155b0
14577,https://github.com/cran/Bergm,swh:1:snp:a4d7926668b158d6cf58d5a0d804713c454ef37d
14579,https://github.com/cran/qtpaint,swh:1:snp:0c141a8dc5083cda4ed5f6205341e97f1a5acba3
14586,https://github.com/omegahat/RClangSimple,swh:1:snp:1c763a8e46d1a63d9080d763c69e537e4e79778f
14588,https://github.com/duncantl/FastCSVSample,swh:1:snp:3b611d67af322cdf599a58653fba3cc21569f0f3
14589,https://github.com/duncantl/CodeDepends,swh:1:snp:81051c79bd87e8a919fcdf2704289afe95f85ad2
14596,https://github.com/cran/rJython,swh:1:snp:97b2fa2e736a3293b7268acf9ab5009bc032754a
14599,https://github.com/cran/ggmap,swh:1:snp:5f57b3d7488e5b97faf406f09d1f543b006ca7cd
14600,https://github.com/mkoeppe/infinite-group-relaxation-code,swh:1:snp:d50c771e617636935faa800846fe1a5969b4957e
14629,https://github.com/cran/smcUtils,swh:1:snp:00416c32ba0e286e58bfdef420064364d4fdbbcb
14633,https://github.com/cran/mixture,swh:1:snp:798e104783f9ec405316c0f47249934984bd4d06
14642,https://github.com/cran/StatDA,swh:1:snp:53022b17e897ecb5c0ad07d12ce5db1acefdd96b
14644,https://github.com/cran/CompRandFld,swh:1:snp:7cb6c7cd9fdb696f089d019bec0003ad07ec2703
14645,https://github.com/cran/PearsonDS,swh:1:snp:1e6088bbbd086724b0da1fbce14b2f987b77fab2
14647,https://github.com/cran/parcor,swh:1:snp:66529c2df0815cd083405ca990a24038cf94f3e8
14648,https://github.com/cran/mcmc,swh:1:snp:3cf0784b911efabc32cd8bed7ae0420699d2e846
14653,https://github.com/cran/RJaCGH,swh:1:snp:9dae18645529ab7a9d7226c21933465bbc110c52
14663,https://github.com/cran/FKF,swh:1:snp:5fdc9e3d80600c6e977b6d956866b1ff1f443531
14666,https://github.com/cran/lokern,swh:1:snp:b7efd8ef4b73bf9465451184d4e9caea5d5b2733
14669,https://github.com/hakaru-dev/hakaru,swh:1:snp:7e310d1515e464e6413c149811fac1dfe2f9a74f
14675,https://github.com/quarkslab/NFLlib,swh:1:snp:d22d21d81a2dc36ee9bec01f626f9dde3c029421
14676,https://github.com/strongswan/strongswan,swh:1:snp:61e7827661e320a2decd64de23d073b6fd6f00bb
14688,https://github.com/cran/fracdiff,swh:1:snp:ab83a531194f45ceea27ec25f0427336ce525521
14689,https://github.com/probml/pmtk3,swh:1:snp:525531b3f62039d933ef6a372810b3944751800a
14700,https://github.com/cran/aod,swh:1:snp:5a20d0943f99dce5b10dec5803b5b632d9f79487
14701,https://github.com/cran/RgoogleMaps,swh:1:snp:d8e205aedc520d0204c3b4958869a02e655caa12
14702,https://github.com/cran/Rambo,swh:1:snp:a0809ffaed208dff14d8050bda8387d0e9670e74
14707,https://github.com/cran/ftsa,swh:1:snp:3a44eb759780145deea094ac2a25c5049546a085
14709,https://github.com/cran/ic.infer,swh:1:snp:d21e88378dde6f6f7d9caa25372fafdedd24921f
14722,https://github.com/cvxgrp/dccp,swh:1:snp:625b33b15795b0f25aaa8c25106de8cf31b6701c
14725,https://github.com/cran/lmmlasso,swh:1:snp:b425eaec97b1bec17a6f825766be52fd148ea97a
14732,https://github.com/cran/lmomco,swh:1:snp:2fa3f307c11174219a914dce587b595681c408d0
14736,https://github.com/cran/polspline,swh:1:snp:dcdeaa4a17e82d591f257ce9a618b158290d061f
14746,https://github.com/cran/PReMiuM,swh:1:snp:d6f0fe387577f269fd3c053106713999fb7ef551
14750,https://github.com/DMRobertson/thompsons_v,swh:1:snp:55bd51a8c5c5244cc8a515eeaf13f4685f6ce1a0
14767,https://github.com/cran/cplexAPI,swh:1:snp:26d1c3fbf6225daf4dc7c28de7d438c688350b87
14807,https://github.com/google/or-tools,swh:1:snp:13ed802830c04a8d35867c86c35b82d8f5d43a13
14846,https://github.com/gap-packages/alnuth,swh:1:snp:b820e6e1706c77f7cf9791e906245862821a53cf
14858,https://github.com/cran/COBRA,swh:1:snp:43945af813a8a85079ab404010b2cb667aedc604
14860,https://github.com/cran/FNN,swh:1:snp:3a7cf96590d46b23101168139b7a5e1f2874663c
14862,https://github.com/cran/UBL,swh:1:snp:33f92e0d9d64ce086a0f8a65243c519cd6e176d7
14880,https://github.com/lducas/FHEW,swh:1:snp:30015c1f41fe0e2c2f58f7ed2e4b9a0fcef3659c
14925,https://github.com/cran/SimInf,swh:1:snp:90e40e93985bdb018ca9292266cb04d7f37dc8ed
14928,https://github.com/meshadaptation/pragmatic,swh:1:snp:c4f1487f0557e88a1d24662d22107b5b30154392
14934,https://github.com/s--kapfer/HilbK3,swh:1:snp:597517aa0e1c1654adabcda924d4c91a6bf561f2
15705,https://github.com/tzok/mcq4structures,swh:1:snp:414177ec8619f55cbc7c9f27e3a0975e495e18ca
15715,https://github.com/amirgholami/accfft,swh:1:snp:d1140b8e1f8d72a32f5ddbba125b7377904660ec
15716,https://github.com/dmalhotra/pvfmm,swh:1:snp:c913ce1a6bc737f766a927a286e5a75e7f00ca15
15719,https://github.com/bgrimstad/splinter,swh:1:snp:1c9ddf49a973bb85b1023184c216e04e1ef17ded
35437,https://github.com/cran/tdROC,swh:1:snp:b8e7507a0d3d4caae448161cab5e0b88f13dcf58
37710,https://gitlab.inria.fr/mosaic/bvpy,swh:1:snp:eeffc0dd81c6b09899e06bbe30fedbcbc60056dc
38210,https://github.com/lil-lab/touchdown,swh:1:snp:c62fd44e229e4d5f9ac8d2a4c9301e3c993c5407
38547,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00001,swh:1:snp:2ee7b69f8debce4a9f53c7807908bb9075b0d8b9
38985,https://github.com/tdegeus/GMatElastoPlasticQPot,swh:1:snp:8a5b8ebdbf9b6a97b356c9140d2cb802541fa422
40268,https://github.com/JuliaStats/HypothesisTests.jl,swh:1:snp:0d781cc757ab04de133a276460e743119562a951
18007,https://github.com/cran/R.rsp,swh:1:snp:e1fdff17dff37da471cce79324563d0010803934
18008,https://github.com/cran/sdcMicroGUI,swh:1:snp:8fde081090ffcb548e03245f24d31a168c688d15
18009,https://github.com/cran/aop,swh:1:snp:42a452c371f489267a44446faa2809faf27c45a7
18010,https://github.com/cran/atsd,swh:1:snp:9913997b19e2acee672bd823d4d6c54a51fbb4af
18018,https://github.com/cran/gafit,swh:1:snp:36f9feed1cdd95aa1ab44b1b548e9c6c3b5486b3
18020,https://github.com/cran/melviewr,swh:1:snp:931cb1161e1b81202b58a47893869fa6256f629e
18025,https://github.com/cran/secr,swh:1:snp:e36478d48c9ee9b61a6687e81462627c3f4d1c97
18026,https://github.com/cran/SkyWatchr,swh:1:snp:268ebfe0a0e34c3498e856a0212f2fd51a080942
18028,https://github.com/cran/BNPMIXcluster,swh:1:snp:9a4897decc4253cc585c3e60be76afbca3cf9a8e
18029,https://github.com/cran/jagsUI,swh:1:snp:1225b7050efcafde216cd10e1d2c120718b804b5
18034,https://github.com/ambros-gleixner/VIPR,swh:1:snp:45b9755c5735a40ccc66280d70b835c55a70890d
18036,https://github.com/mkampert/rCOSA,swh:1:snp:32b5a6fb1cd7c0e2edba2275684cec4408978839
18050,https://github.com/MathBioCU/BiofilmSim,swh:1:snp:064173e8c4cd7fd47509ab6c2692a735f1e1557c
18065,https://github.com/chr1shr/voro,swh:1:snp:bed034f1ef7b8d962d5f655047736704dff20c89
18073,https://github.com/oseledets/ttpy,swh:1:snp:d8c6f177ace4d496fd2e748fc8eb9727821e29d0
18084,https://github.com/idaholab/moose,swh:1:snp:bcdb9519579959be660fd2f3bff4b71a2b14f54d
18088,https://github.com/devonmpowell/r3d,swh:1:snp:6271da7bdf96c9fc9f132d98d7616595252f7078
18089,https://github.com/bauerca/maxwell,swh:1:snp:8cc7ab32b7d10c6205ea3c5591390051082d372d
18134,https://github.com/AMReX-Astro/Nyx,swh:1:snp:1425f8f602a0f0245e37275c3de8c89e7df55b43
18140,https://github.com/LLNL/RAJA,swh:1:snp:5f097572e4940abe1b36b591cd1d685de39738e5
18150,https://github.com/cran/gofMC,swh:1:snp:1c4d15f18b0b080240b52971925631c1ba396499
18152,https://github.com/cran/micromapST,swh:1:snp:a3cfc2639b9ea549338236338a772baa69f479d6
18155,https://github.com/cran/CuCubes,swh:1:snp:8461c719770448c2e6b29b5ca90de141654cfdad
18163,https://github.com/cran/magree,swh:1:snp:944460a512a0dd8f88004e47d22308a1e88e836e
18164,https://github.com/cran/moezipfR,swh:1:snp:e50b3570ad7659712fd188929d99af704978fbe6
18165,https://github.com/cran/predatory,swh:1:snp:55816b4232a7119bcaafba31f2372b5a9b54b030
18166,https://github.com/cran/QNB,swh:1:snp:c8fea809927e1af146d888b6f3b24edd45dfaeec
18171,https://github.com/cran/units,swh:1:snp:b4e43a251574ec063768518edcd5b2e1961e2de0
19706,https://github.com/cran/LINselect,swh:1:snp:87b67c999349227721aa409853a7b8ae00c87a63
19714,https://github.com/april-org/april-ann,swh:1:snp:47cd42b5559f33a3709eaccc053bdbf2f000d48b
19716,https://github.com/cran/PBSddesolve,swh:1:snp:a21fac049e91eb49db8a36a048c3797c08069191
19741,https://github.com/otoolej/qEEG_feature_set,swh:1:snp:27fbaf17b6b3c422beffdef97f3ef96b8cd70b75
19742,https://github.com/csgillespie/poweRlaw,swh:1:snp:c719c55136863a6657c038539fcc5b191c5790cb
19743,https://github.com/Electrostatics/GIBS,swh:1:snp:749e3aeb31d5d2775a574da0821dc69cff3c3d6f
19747,https://github.com/cran/partialCI,swh:1:snp:db8502a1872ef1f9da8a84e7a49cbdc889520571
19749,https://github.com/cran/philentropy,swh:1:snp:d84621bf9ff5b0f05a01fbc3e8233f42cba7b5d2
19750,https://github.com/cran/rerddap,swh:1:snp:bac2ec48fc4a4b3b12f8404c34ef34f021e13ddc
19763,https://github.com/cran/QPot,swh:1:snp:d3a4ba80e31951c6330d0a2432f247b6292dc32c
19765,https://github.com/cran/plot3D,swh:1:snp:b2cb188e0cc8eb7622c4bcbec1785c01138a4b4e
19770,https://github.com/cran/CEoptim,swh:1:snp:9e72c192ca930a9c38bc612795924cfb851f6329
19772,https://github.com/cran/localdepth,swh:1:snp:55d9c4ee3e0929935c0e99ad75593446f10ce88b
19773,https://github.com/cran/depthTools,swh:1:snp:1511502dcb55e8f747ebdf16978f8010224993fc
19788,https://github.com/abelfunctions/abelfunctions,swh:1:snp:a75fa3499f9cac292082664bdc516f51ebb7a7cb
19796,https://github.com/cran/AnalyzeFMRI,swh:1:snp:431716af6c17c402db4039cac1bd81fd713b95b7
19801,https://github.com/cran/spmoran,swh:1:snp:1ebf1f0e67c1f7957ce752f2946f97f38344af3b
19802,https://github.com/cran/heemod,swh:1:snp:0dafca002f4403565862cb5389aa2b18aa983611
19807,https://github.com/cran/tourrGui,swh:1:snp:de03184de78d08347020ec88e879e705be6e7f08
19808,https://github.com/fischuu/EPP-lab,swh:1:snp:110519d3ce7ccfc4e82fefebc48bee390649919d
19811,https://github.com/cran/FLSSS,swh:1:snp:facc562f2309f0c73cde0fda783dd93f2c019a2e
19813,https://github.com/mdkarcher/phylodyn,swh:1:snp:c528378130ffea794756140cc249d98206877e26
19826,https://github.com/eldila/MatIB,swh:1:snp:232c78309422a282498dcd813b31fda46cb29dd1
19827,https://github.com/mesnardo/pyIBM,swh:1:snp:28704df2b910ba2870a826de92aaec507f5e1b5a
19837,https://github.com/thomaskeck/FastBDT,swh:1:snp:3f7dd91b45a0cc53410476c1b561b95936b5192c
19839,https://github.com/freesurfer/freesurfer,swh:1:snp:7477f3531ca08597488310b7bc62d20bfbe5f322
19842,https://github.com/smtlib/jSMTLIB,swh:1:snp:6722d591f1bfc228e3961344f003da348c9bed37
19843,https://github.com/pysmt/pysmt,swh:1:snp:177249fbcd71796add1bcf17a3213642548a236b
19844,https://github.com/kaldi-asr/kaldi,swh:1:snp:7bf59d2df85ebb96b55460486367d7bd87335df3
19847,https://github.com/soumith/convnet-benchmarks,swh:1:snp:5c98c1fa403df96897c3d5769ba29d8ddaf3e98d
19848,https://github.com/krrishnarraj/clpeak,swh:1:snp:0f076d3903df2935be76e6329e14ec0e9e8dcbad
19849,https://github.com/clMathLibraries/clBLAS,swh:1:snp:1e574d9abad345644c37948e1ca65f57564e85d0
19899,https://github.com/nasa/OpenVSP,swh:1:snp:c8c4e5f623c8372c0c92dea65e97889cd57eff84
19910,https://github.com/arktools/openfdm,swh:1:snp:d7f31dfa9313f22c3432038ae8dca94fce9f62a2
19915,https://github.com/DLR-SL/CPACS,swh:1:snp:aba9488cb21f8ac76994f54d9d139b22ee9e4f85
19949,https://github.com/yaml/pyyaml,swh:1:snp:dc1bf06edd945cc5fb7b62ee593dacb57858ab46
19962,https://github.com/sommars/DynamicPrevariety,swh:1:snp:bc4e239f86405139de8045040d9bf6ebcebca9df
19964,https://github.com/k-kimura1224/MAIC,swh:1:snp:8da40bc97ca5fd8dd1852d52fbc5e788baaeb9ca
19966,https://github.com/cran/hoardr,swh:1:snp:b6bb97a31cc1564ec0777c4332fce7091d108764
19968,https://github.com/cran/nephro,swh:1:snp:8a75bda5d510f9b545d03c3280eb14fbc974a894
19969,https://github.com/cran/qrsvm,swh:1:snp:2b1187071595ed0a7cee53018c7f2dd6a63f9123
19971,https://github.com/cran/simEd,swh:1:snp:bc987c32b2ebbba7da293a976cc78b42c5e011de
19972,https://github.com/cran/TSdbi,swh:1:snp:1cbc4f1b187326e26b15a349a765583659940a7f
19973,https://github.com/cran/TSsql,swh:1:snp:6804938ff57239237e59ea21fc8f0be763bdd1dd
20027,https://github.com/cran/lpSolveAPI,swh:1:snp:f085d650112761b77bfdcb7c7f0c4d2f935eea1f
20042,https://github.com/cran/haplo.stats,swh:1:snp:c98188f47180d1c80807d71587abe63fd5982911
20076,https://github.com/cran/PROscorer,swh:1:snp:731d557061fafcecf00d0078fd2ec722422e23e5
20077,https://github.com/cran/RNAseqNet,swh:1:snp:450d6fc62c5f71b6df20471dee6f42e326e9c52c
20080,https://github.com/cran/StatCharrms,swh:1:snp:6a442d509df0509ce0d31d16fe56fcd38b5d7a63
20081,https://github.com/cran/xLLiM,swh:1:snp:ae664933af4020442bd0e3c7a17823e86b1ab7e4
20084,https://github.com/ludvigak/SE_unified,swh:1:snp:feac92bc2fc4c5bdec0e2c85d9418ac4c3f084d6
20088,https://github.com/cran/mvMORPH,swh:1:snp:9d2dd358a80f0275b630639200b117303f4a7c52
20103,https://github.com/jchen419/Matroids-M2,swh:1:snp:ab228b6bd39875031b0f4e4c63fe9ae62fc4e321
20107,https://github.com/cran/svd,swh:1:snp:6e7984f21f63a4ff4f2e05fd2b9eef18150e57d2
20117,https://github.com/tedgueniche/IPredictTheWeb,swh:1:snp:c68da2603a78c6b1ff8911ce30f01e9e7bd27c90
20155,https://github.com/mugglmenzel/CumulusGenius,swh:1:snp:2bbc15fcc8f06c8379cb4fb7efe20a66012ea59d
20205,https://github.com/thorstent/Liss,swh:1:snp:d83464461baaccd058448cc1e444a448afe361d4
20207,https://github.com/thorstent/ConRepair,swh:1:snp:1aa5d72ca7c17729fe1f725af08daeb7d95b6ddc
20218,https://github.com/dfm/acor,swh:1:snp:af87454fd77aa89eb820437309c51c2d212ab410
20219,https://github.com/COINtoolbox/CosmoABC,swh:1:snp:874364310bd7241b6af3345b635e34c78145fa1d
20230,https://github.com/helgeho/ArchiveSpark,swh:1:snp:e94f9ef3a7e00228c58b5b4c05b4363346fe15a4
20240,https://github.com/cran/blockseg,swh:1:snp:435f0af4676cc1a3a81394ed574ed24a3bc97e8c
20245,https://github.com/cran/LDOD,swh:1:snp:eed030bb6721cae1efa55c0b546f6488e351fcfd
20246,https://github.com/cran/designGLMM,swh:1:snp:acaaf52361e0080a17985ba48b0a0d87da7abb67
20248,https://github.com/egarpor/sdetorus,swh:1:snp:3d1bf75c71011380ba6687770e46b5d0c4effc1e
20249,https://github.com/CNugteren/CLBlast,swh:1:snp:6c1222fc92aa2959d1b992b51327bfd6ce436d69
20250,https://github.com/CNugteren/CLTune,swh:1:snp:73ab41f5dca9e020f102228961da785ff761915c
20261,https://github.com/CognitionGuidedSurgery/ILUpp,swh:1:snp:b507502cc3711c66658f2043361949d850968093
20269,https://github.com/caper-tool/caper,swh:1:snp:ba2b117a45cf8a0cf1029c5139eb52aac5a737bc
20273,https://github.com/FInAT/FInAT,swh:1:snp:8d72f01b12d275a26eae7680fb711d5196bfb283
20274,https://github.com/coneoproject/COFFEE,swh:1:snp:283b6e81930af3e94be4679700841bd777b89e0a
20277,https://github.com/cran/spatsurv,swh:1:snp:440c81aac1ec1eabc12b2993f8dc33072d13e393
25274,https://github.com/cran/ptproc,swh:1:snp:f31d1ca4e60bd055046aae38f6271cc2e65cdc6a
25280,https://github.com/cran/mixlow,swh:1:snp:a4f85e942ef212bfbed81551c2d68b9197e2dc99
25305,https://github.com/salvapineda/bilevel,swh:1:snp:7853d234ba5ee5d156e29fdefec5e8947d687659
25313,https://github.com/erocarrera/pydot,swh:1:snp:1a981cc35c77d4581bd8a8e72d6cfb62b1e45b3c
25331,https://github.com/lenz99-/svmod,swh:1:snp:93128c8aa69d314758def69b0701f2ba7b5ab35b
25337,https://github.com/CristinaCristescu/ParEGO_Eigen,swh:1:snp:1d0b41fd46818a40c90860d7fa11e6160eddd718
25338,https://github.com/Eric-Bradford/TS-EMO,swh:1:snp:2c3442a1a725cbb7e3d82612f0b5b387c5cd73dc
25341,https://github.com/cran/qlspack,swh:1:snp:9c20acac033c96e6ea39ea5cb629e9fa3f07b75b
25342,https://github.com/cran/agce,swh:1:snp:4f46a774552f2eab39b8eaa4494b8d813f0941b6
25346,https://github.com/agraef/pure-lang,swh:1:snp:2aaa3e08440b386d92f63b4da3e85450b7c5e81c
25348,https://github.com/cran/plRasch,swh:1:snp:94d5b769ed031b9ec586ebb6e6c81c1797777abc
25375,https://github.com/open-quantum-safe/liboqs,swh:1:snp:eeb02b1529e96e68e0148263c507d236a85456fa
25379,https://github.com/cran/Stickbreaker,swh:1:snp:dc77fc95cd1aa3692cfbd370c028da53946ce3bd
25381,https://github.com/cran/flexPM,swh:1:snp:b1b9346a78a2e4d84b356973dbf8c7c4c82b57f0
25385,https://github.com/GonzaQuiro/MALBEC,swh:1:snp:8ed9c98931963f259a309989d7c5cc49e59ecd22
25386,https://github.com/gyoto/Gyoto,swh:1:snp:401bc0cd839b04b6341242fb8161d6b91e4d20e9
25394,https://github.com/cran/hier.part,swh:1:snp:116629f4dfb5d5e9c79d92c142b24b2c314b88bf
25395,https://github.com/cran/segclust,swh:1:snp:8b1f46bf7c614833af1fdaf0c2406dd1604dcad2
25401,https://github.com/cvxgrp/l1_logreg,swh:1:snp:250938d766b694d564610dd328e0df9c5176989d
25402,https://github.com/cran/Rassoc,swh:1:snp:ef744ce6c8c1cf6547e2e649e198a15569dbf1bb
25404,https://github.com/cran/hyperdirichlet,swh:1:snp:c86fa349b5808756c4bc5fe5045a4a7a4352b583
25409,https://github.com/cran/xgobi,swh:1:snp:45ed2473faa4a8f2d91ebec392901c418e746dce
25417,https://github.com/cran/deGradInfer,swh:1:snp:c485993b4f3a8ac7eb586ab7655f8abee81420fc
25418,https://github.com/cran/kmcudaR,swh:1:snp:3789019646e30952c8f2af8c23c0b252a1d04ed2
25419,https://github.com/cran/MsdeParEst,swh:1:snp:a83a0fb3fe7dacd30954a2863610836b6c531343
25421,https://github.com/adolfont/KEMS,swh:1:snp:cab16c680ba33fb0d9b75f1f1866d30480efb48e
25437,https://github.com/FeMTTU/femus,swh:1:snp:b097c518c1bd6e511be69aed268c09aaf9d27347
25448,https://github.com/usnistgov/OOF3D,swh:1:snp:3bb6ab62182dd513d49f622b1ad15dcb58c37176
25454,https://github.com/svanbelle/multiagree,swh:1:snp:449eba2e0ecaa8c08699ceaa2fdc07f1fdbdf720
25474,https://github.com/cran/fuzzyOP,swh:1:snp:1d3975e04bf5f18f446650f2bf33a4790f1f5111
25475,https://github.com/cran/FKBL,swh:1:snp:ccafa5c7acbc14abad415b641d7d3e29004a658b
25478,https://github.com/cran/gcl,swh:1:snp:3d4920a52e1356401d6e860bf1fa10fa939a3d0b
25481,https://github.com/cran/Rlsf,swh:1:snp:bf1976ad578e7f465629fe71ffaf12a04feb85aa
25484,https://github.com/cran/GridR,swh:1:snp:f1c1599bb5bf27d605bd85dd9755567a91da1c70
25487,https://github.com/cran/bpca,swh:1:snp:d965f22c377feed683286605ce135784baac4fdb
25498,https://github.com/cran/graphicsQC,swh:1:snp:1a7607f0a7bc0531ccb109a1f3f0f232309fe9ed
25513,https://github.com/cran/monreg,swh:1:snp:6cf0212a24eb8b2c9451d04940a3d73c0c4abf74
25518,https://github.com/cran/Rfwdmv,swh:1:snp:09660d54c1851250e6718d72c492db2cbb2b923b
25519,https://github.com/cran/CaliCo,swh:1:snp:fbdfcb173a707a208702a8f3dbe6d371370fac02
25522,https://github.com/cran/safeBinaryRegression,swh:1:snp:ee35b3083885ed803b13418dab24315992a56465
25527,https://github.com/alexgutteridge/rsruby,swh:1:snp:2aa67053950d442d5161352b077268b2b3ed4c27
25529,https://github.com/cran/PSAgraphics,swh:1:snp:3142b15c63b797c3afffd63737ab02db8773d810
25530,https://github.com/cran/USPS,swh:1:snp:d3d6a41fd48d30f34fa9c9f5c1c45c4ef33b2033
25531,https://github.com/cran/simba,swh:1:snp:f7923d3772325b902e9b4c31a77e1314d43bc54e
25558,https://github.com/RSkinderowicz/GPUBasedACS,swh:1:snp:290bfde4f55cc34e416ef8bc4e10a1c3e0a7a059
25561,https://github.com/mate-szoke/ParallelLbmCranfield,swh:1:snp:a5685fb69cc16d841cfb3f7b27a1006fd7e2e3ba
25566,https://github.com/cslab-ntua/sparsex,swh:1:snp:9d82e4b41faaedb5c9dcb2dd6eac0e09ee44e845
25570,https://github.com/maxbannach/Jdrasil,swh:1:snp:42c034e8a6d9c7b98a4aad55354d1557dc9cb5cf
25583,https://github.com/cran/intercure,swh:1:snp:fa19dcd6026bf76cb616858c2c1c38640f06e20b
25584,https://github.com/cran/ctqr,swh:1:snp:b943a88d5804f9866ba26b360192e85bb41ac958
25588,https://github.com/cran/AutoSEARCH,swh:1:snp:1aaff64ad7d7cc9992f8f70cc67954008546e5c0
25592,https://github.com/cran/CompGLM,swh:1:snp:672ff24515b686e0fd18282544e69c55e37e21b4
25598,https://github.com/cran/npRmpi,swh:1:snp:49131c9b187b8bddcf63523b30affa22658ae09e
25599,https://github.com/cran/ZIGP,swh:1:snp:161fdcd46eb2fd7ef016fee588677eeab6af732c
25603,https://github.com/pwollstadt/IDTxl,swh:1:snp:517eb763caa24b322ea9bbb3bfc2151e7eba51e7
25608,https://github.com/serge-sans-paille/pythran,swh:1:snp:a551df75bf89d6b8ca6edc4be10f9f1ef547ed9c
25616,https://github.com/cran/caretNWS,swh:1:snp:e3277417362e6a2b6abd493d8e6f75eadcdad9d0
25619,https://github.com/cran/SDDA,swh:1:snp:f083384b84f2f2a8cf3d47b79691461a380eddb8
25622,https://github.com/dkouzoup/treeQP,swh:1:snp:e534c63126933b42fc52db12644cd65a17a1ae75
25623,https://github.com/giaf/hpmpc,swh:1:snp:20ab605d15dec051ba276237cd99ab206b2e81ec
25627,https://github.com/cran/MeanShift,swh:1:snp:74a73d70faf3564cf86b5b6be153fe7ecf745682
25630,https://github.com/cran/rags2ridges,swh:1:snp:83ce2332e1f527ee6ccffc9ce2d4d8c8653ac133
25631,https://github.com/cran/drmdel,swh:1:snp:87cf058b94d0652e6d3ed0f9bea92adae34fef83
25642,https://github.com/ecoon/Taxila-LBM,swh:1:snp:dcba8d9010b0d7c558023d01da6fdc47b8d1acba
25648,https://github.com/cran/tlnise,swh:1:snp:b756d304be760be31efe4ee7c41f21594754e61d
25651,https://github.com/cran/upclass,swh:1:snp:b28d5caba03390f4d01caeb39e2408824a95c413
25652,https://github.com/stevewolter/rapidSTORM,swh:1:snp:ddfd67036166253ac60a5cde71668708b77ebbce
25657,https://github.com/cran/fgof,swh:1:snp:083e01dfab136f4bd29c651b22b21f93d0d436c4
25658,https://github.com/cran/ECFsup,swh:1:snp:a71414204712fa27a1931e2106676c77f02a5a8b
25678,https://github.com/bcdaniels/coniii,swh:1:snp:a7d805f6b54bd9bf06b11cd96dead8aa1e49b165
25686,https://github.com/Singular/LELA,swh:1:snp:8ecc300b46d8eecb296b1bb0fe033c16ae4b632b
25702,https://github.com/HaizhaoYang/SynLab,swh:1:snp:f8f8c7edf7f8aa4bf9360087ba71265f673e670d
25704,https://github.com/cran/rrp,swh:1:snp:628b6f37fb6d1a49487b413edd559463f1127269
25718,https://github.com/cran/LiblineaR,swh:1:snp:94ddb946dce353c4be2dd8e19e3ab2de671af507
25719,https://github.com/ramhiser/datamicroarray,swh:1:snp:efb718680ebd82b030a1b9c8b0ed8d986303f0c5
25725,https://github.com/ArturasAcus/GeometricAlgebra,swh:1:snp:de7fdc92083826ac29bd7aa2afeebf923d8d310b
25726,https://github.com/cran/ReIns,swh:1:snp:69bb7dd03e14543d5085ce563ca997f03ca2c900
25738,https://github.com/SpM-lab/irbasis,swh:1:snp:80d3f78b08e089ffe2676afaf9f5082d041d4499
25739,https://github.com/LexPredict/openedgar,swh:1:snp:63ca15470231a8b8713f412766b8513986e0514c
25740,https://github.com/datquocnguyen/jLDADMM,swh:1:snp:64c2fd88447bf4f00ad3e90948b37ab0972560c3
25742,https://github.com/LexPredict/lexpredict-lexnlp,swh:1:snp:1e3a99c14199844a5f622e22c7be4290aa9a0663
25745,https://github.com/SimpleITK/SimpleITK,swh:1:snp:38328e43fbd3bdac4665fa0fd4e059df8545943e
25746,https://github.com/ANTsX/ANTsR,swh:1:snp:71220768a7a909a3bc52ccb45bacfa385f4e9aeb
25747,https://github.com/cran/R4dfp,swh:1:snp:d4022643bea2fbceb1e703d7e1660c74bcc363b7
25750,https://github.com/cran/radiomics,swh:1:snp:9bcf9e1bf4a0b232251c9ba38d0a45786dd2a73c
25751,https://github.com/cran/FGN,swh:1:snp:7dda2722a37182c1a1a9ab566d92b7e64e1807e4
25759,https://github.com/BRAINSia/BRAINSTools,swh:1:snp:ec2160197d82d955cc46bee435eae195286f4f9c
25761,https://github.com/cran/oasis,swh:1:snp:78887690fda0ccde20039384a8bd2396dee8204f
25763,https://github.com/cran/tiff,swh:1:snp:949b6069e68e018838e07db8fc11a53bb400151d
25767,https://github.com/eggplantbren/DNest4,swh:1:snp:2504bc03f885ed98cc1e5a3302fd41b2a5c78291
25772,https://github.com/atomistic-machine-learning/schnetpack,swh:1:snp:b40a8f085c77dad422834fc7774fe9ed1f5e99ad
25773,https://github.com/lanpa/tensorboardX,swh:1:snp:c0897c71de34039991c0326f950192da4375783c
25774,https://github.com/wweir827/CHAMP,swh:1:snp:e3fe76c2d430938e92aca433b3979509bc084c78
25775,https://github.com/analyxcompany/ForceAtlas2,swh:1:snp:bb18d3e43cee554359769fca8ebe49b2b3c7e75b
25777,https://github.com/chaim-e/abcdefg,swh:1:snp:64d98fea427cf6fb8c0117ab19e09eb6d16685b5
25779,https://github.com/chpech/COCO2P,swh:1:snp:604b8c9e50a3f83bcdd6e0d6d25aa53bcd84fbdd
25795,https://github.com/CERN/TIGRE,swh:1:snp:4d2eef23bc85230c4fb14c46da6870c26017d4f5
25811,https://github.com/MasWag/timed-pattern-matching,swh:1:snp:74236c03a9354f7422337ed170508b74b2a0da1e
25829,https://github.com/cran/adegraphics,swh:1:snp:205798c19cc6493cb0e6fae5926d98ffa0503794
25856,https://github.com/cran/QCAGUI,swh:1:snp:43948fb685f72805a7959a9cbddbfa3a60c90cb5
17722,https://github.com/felixlen/trlib,swh:1:snp:6e69f9fd512eebfc14612feeea910c6ff3f0869d
17732,https://github.com/cran/MRSP,swh:1:snp:68c2745e4fd618ceb26d6b479f5f1504854037d2
17733,https://github.com/cran/dglm,swh:1:snp:8848ad9bab80a45cb06b4ebe370a81c47bee4438
17745,https://github.com/jeroenk/Anagopos3D,swh:1:snp:a4ea39557e142075372c5e3f442f25e574a426d8
17750,https://github.com/cran/ggforce,swh:1:snp:6079a5420a77eb3901e7b7504b85e5cbc5af6ab8
17752,https://github.com/cran/relabeLoadings,swh:1:snp:382d052e1d2de2a740c017a155ca43f3a680efa7
17756,https://github.com/cran/weco,swh:1:snp:8617940fa72be6c0698ea368a72a75390c6ea30e
17761,https://github.com/cran/rstantools,swh:1:snp:9b17e78ba4f333375bef9c5758b062f183110f28
17762,https://github.com/cran/BH,swh:1:snp:737c733b3054ece4b5ec373c6862a13ae48a6a6d
17763,https://github.com/cran/climbeR,swh:1:snp:60a458e1c01ade4c272608d2b812d0bdbd98b9bb
17764,https://github.com/cran/DataExplorer,swh:1:snp:b320c109346e030cf016831e43af0b0f893c5439
17765,https://github.com/cran/DEoptimR,swh:1:snp:22bf49e79c24be0b2b582bda4afb607bb3292e75
17767,https://github.com/cran/KoNLP,swh:1:snp:a55ceb9ce350de58fc8ed3cbc3dc1945e4047889
17768,https://github.com/cran/AICcmodavg,swh:1:snp:7514117f934e68b5a01a356743d9f539fbd015be
17769,https://github.com/cran/bayesplot,swh:1:snp:ea375c22cc84de77ed9e200ab03e8f717773543e
17770,https://github.com/cran/BCEA,swh:1:snp:8d5679cd53d5a7361661de76ece2139e67f81a50
17773,https://github.com/cran/RBMRB,swh:1:snp:0563ed2209cdf71bde8a3f9b32e8a826bd0c4e7b
17784,https://github.com/cran/ggspectra,swh:1:snp:657da9609564c8637b5e7d401f3a4f43ef3c0436
17788,https://github.com/cran/qwraps2,swh:1:snp:a01e286587a50f8226e9247eb856296027be8e70
17789,https://github.com/cran/rEDM,swh:1:snp:69faba81182b117cd53f00f795f241869ecfb0d2
17796,https://github.com/cran/lclGWAS,swh:1:snp:93625151858f38ea5aa89a44ba0ac2dd86cbfe51
17797,https://github.com/cran/speaq2,swh:1:snp:1da380087a54763eacb8317209e412eb755d8b23
17800,https://github.com/cran/BTLLasso,swh:1:snp:0dff0ebee905b11e5aac7b0691dd825cb619e8d2
17804,https://github.com/cran/revdbayes,swh:1:snp:e08af4a7e6adfc2415dfcd9b7789a7f3c34b4c5a
17807,https://github.com/cran/rtkore,swh:1:snp:0085d25bb619711db43995d9157de45ef9130d44
17838,https://github.com/mmp2/megaman,swh:1:snp:48ea2a966d90763400175119f5ccfd42b64f74f4
17843,https://github.com/ibayer/fastFM,swh:1:snp:be07f14c02e9419c9745ecdf920d736080bad631
17847,https://github.com/moskewcz/boda,swh:1:snp:082b5212adf3d39566d59d010df78457ea1b0aac
17850,https://github.com/BVLC/caffe,swh:1:snp:c4c22579905d7e3512d38e5f2e65b51b5bcdf589
17857,https://github.com/sermanet/OverFeat,swh:1:snp:f3e062e83880bd2e91f90f09a71b0a39bcd05887
17883,https://github.com/cran/blockcluster,swh:1:snp:6cd359942e1d565be75fbaa8a1ebb87cb750bd68
17886,https://github.com/cran/gridsample,swh:1:snp:7320a18e2725fc928dd773e5380e46e7c432d93f
17891,https://github.com/cran/Rlabkey,swh:1:snp:2610702d2436dc830f0d8fced65c77b2659012cd
17894,https://github.com/cran/effectFusion,swh:1:snp:e809d4d15ebafe0a37c94ee9456c8ad53dbd0208
17897,https://github.com/cran/tsdisagg2,swh:1:snp:e224e542affb45f7a099816f50c3a574ec82fd5e
17901,https://github.com/cran/LatentREGpp,swh:1:snp:c72fe94fa3a886c3effd15daf5511bfa6fb99674
17902,https://github.com/cran/MIICD,swh:1:snp:4346c8879f4049253ad6dce6061ff78f53ba86b3
17920,https://github.com/cran/largeVis,swh:1:snp:abd4828e7edc773dd970d8bef0b752746b879d7a
17922,https://github.com/cran/NonCompart,swh:1:snp:591680e57e66a2e121f22147374527411eca0031
17923,https://github.com/cran/apaStyle,swh:1:snp:dfaa541b607740db073c600b2e1625a888f88b6e
17929,https://github.com/cran/commonmark,swh:1:snp:ec6b3b8341d3d58cd88473270b2ca44bff95119d
17942,https://github.com/HaraldHofstaetter/Flows.jl,swh:1:snp:ce90d2b29f9d69a30b30df68e95bb3ccd6e359d8
17952,https://github.com/Microsoft/PQCrypto-SIDH,swh:1:snp:2e8e013361d7888dd8d8bc4b67a3390e42dd2e41
17955,https://github.com/hplgit/scitools,swh:1:snp:6e9ad856dd39cb203e0e91f17e43b6b71ecf37c6
17969,https://github.com/chrisamiller/readDepth,swh:1:snp:627e99c7050ac591c06d293665bb534c9fb38dfd
17980,https://github.com/dkrashen/conformal-blocks-rational-locus-restrictor,swh:1:snp:c0b4daa4882081fe6a0841741a1d132b4635790c
17998,https://github.com/cran/compareGroups,swh:1:snp:2460b19b0b5010238e0e3db09e9246142eb87b28
18001,https://github.com/cran/originr,swh:1:snp:e7d999fd2a8371ace80b1cdc80936be647b9ab95
18002,https://github.com/cran/rclimateca,swh:1:snp:3f799c829cfa0fb121d5f0bd7bf5fb67042b3685
18876,https://github.com/ContextLab/hypertools,swh:1:snp:dd0fa798296b7b9b9d5f17a37086465ade6ca6a0
18877,https://github.com/mwaskom/seaborn,swh:1:snp:6939c87023b37ca48c4e388cc14d19fbe631e320
18879,https://github.com/aydindemircioglu/libCVM,swh:1:snp:1fc263602e8589fe477cccd5c7b72901bd12dc87
18913,https://github.com/cran/specmine,swh:1:snp:1a17a1e3de63b493a263583d69b48d3f97854c36
18924,https://github.com/cran/incadata,swh:1:snp:11535f59e08977e5cb0dca961ea16f5e723e4b2e
18939,https://github.com/cran/HistDAWass,swh:1:snp:e5edf53e9e17723428c985082e1b18e57d5a27bb
18940,https://github.com/cran/jmv,swh:1:snp:738b4caba8654ed45e02ff1015f46c26bb5ce933
18941,https://github.com/cran/LEGIT,swh:1:snp:39303bd75c0f99ae1934b5136e5d55fb15efc55f
18943,https://github.com/cran/PivotalR,swh:1:snp:9665b785e1138e8619c1f23cba1dcdeec1c54e04
18945,https://github.com/cran/sequoia,swh:1:snp:db550266959c9914863d0ee76ccfe56780d8d0e1
18946,https://github.com/cran/FREGAT,swh:1:snp:b049bf4bfc1140ee05c4feaeced0defce6aa563c
18961,https://github.com/cran/RVFam,swh:1:snp:03c35d1fb544bb4c5e64dada8382be3ece25ae92
18966,https://github.com/boutroslab/caRpools,swh:1:snp:5c6532b5c03ee8ef47bf9a85deca3437562b558f
18971,https://github.com/oicr-ibc/cssscl,swh:1:snp:e793ecdfe53403db9e3f4d286386ba2c2243f0b4
18985,https://github.com/cran/RcmdrPlugin.DoE,swh:1:snp:f98ab647197e0393352f40188bf0b4af38a7f416
19000,https://github.com/cran/GWAF,swh:1:snp:d20dd3d882bb31555d86b27e3e77bb21326cc391
19008,https://github.com/cran/PKgraph,swh:1:snp:5ade520f4ce2fc6cb815f3dbecf8a071e1c3381a
19016,https://github.com/cran/constrainedKriging,swh:1:snp:ed6ffb9358aa4e2e1cc5fbac95ec6bd903d848df
19021,https://github.com/CTCNano/proto_md,swh:1:snp:29193f6dd279bb1a577903b36462f49a5985c966
19025,https://github.com/MRPT/mrpt,swh:1:snp:aa58de238ecd3beb04bb1576e61a103bfa31d391
19028,https://github.com/CMMayer/Toolkit-for-Ring-LWE-v1.0,swh:1:snp:fcf7215e718072569185f310b95a6a8d15f14c02
19030,https://github.com/ParticulateFlow/LBDEMcoupling-public,swh:1:snp:3c279fe7eb61793216ad94c01d6639e70a780b5a
19047,https://github.com/cran/frailtySurv,swh:1:snp:4859c211a977819e68f900b850084838c1ac8806
19050,https://github.com/cran/phmm,swh:1:snp:18008c2324e63007fcef3b4ffe6313726f94b740
19055,https://github.com/cran/coxme,swh:1:snp:3da455f31dcf6b88e6cfe99873673b7cc045fa9b
19084,https://github.com/gap-packages/unipot,swh:1:snp:d48c0b49337217d1186154e5698d0a82ce79d270
19100,https://github.com/cran/evaluator,swh:1:snp:9ad50491df83edd353e8cb53db9306cdc85e9f93
19101,https://github.com/cran/hrbrthemes,swh:1:snp:882a903a85928118f620d41043ec65525f8979f7
19106,https://github.com/cran/extdplyr,swh:1:snp:33d6c1e092ec2293feb0d2bc06d3338ef8089944
19107,https://github.com/cran/fontHind,swh:1:snp:e3ffa678f1dcce573e58e832f3098f8cfb1d497d
19108,https://github.com/cran/fontMPlus,swh:1:snp:bec2affb27bcdeb2eb62bfe6e89adc1262192313
19112,https://github.com/cran/mets,swh:1:snp:eb637e2fa09087ebd688d21d05728639f160405a
19113,https://github.com/cran/rmpw,swh:1:snp:4c64e9b62ac8bd975b4c3ec35d5a532970398ae5
19114,https://github.com/cran/SpatialEpiApp,swh:1:snp:45c28a138fb77f75bf5c2694cebcaa7bfdb70425
19125,https://github.com/cran/hiertest,swh:1:snp:9f9240efbd8bb2f8d18b1404cbd91b12d104fb02
19126,https://github.com/cran/PMA,swh:1:snp:87a1cd03f7b90caff60850fba5b2c85793550ccb
19129,https://github.com/cran/covTest,swh:1:snp:7d5be2455d71a20a450739b0ac626b7ba04cd00d
19131,https://github.com/cran/uniCox,swh:1:snp:57bf2f19d17acde7efa380cd5844f7df4ed4cc9c
19133,https://github.com/cran/sparsenet,swh:1:snp:b8a08008f0a65cb82b8d5aad6d0dd9e41da49daf
19137,https://github.com/ElsevierSoftwareX/SOFTX-D-15-00027,swh:1:snp:404274e6ab9042581945b901b4a1d26a54582d86
19172,https://github.com/cran/FRK,swh:1:snp:377da5afd0c3cc51736cf8cd004459565f9f8b1a
19173,https://github.com/cran/GDAtools,swh:1:snp:835cc82758c1a75bfe90c5ea450750a1e5207fa4
19175,https://github.com/cran/riskRegression,swh:1:snp:46a6eb6ffef2a55032761d9917eb3c03c919446c
19176,https://github.com/cran/rmumps,swh:1:snp:ceab1bbaf903a3d389706e3d94166faf8f520ebd
19178,https://github.com/cran/DySeq,swh:1:snp:4cbf035edc6dccceabf72c2906fbab6410eca58a
19181,https://github.com/cran/hashmap,swh:1:snp:bc04e720307a80984df68810a3decb20ff3244d2
19188,https://github.com/quic0/HNCcorr,swh:1:snp:7175edd572f217c89600d3cc44a33e098f7ac6ec
19190,https://github.com/codeneuro/neurofinder,swh:1:snp:0ac31b4cde2fe94f1ede3cb9ad09e766c2bc3182
19191,https://github.com/cortex-lab/Suite2P,swh:1:snp:011291df1a062a971e9c52925a4fe069bdfa748a
19196,https://github.com/cran/canvasXpress,swh:1:snp:9e932e737b88f0cebfe122856df781b6d17bb7cc
19205,https://github.com/sergei-grechanik/supercompilation-hypergraph,swh:1:snp:d7b8ddc40e0335d0f409a7a177c22062cb6adc71
36,https://github.com/coin-or/CHiPPS-ALPS,swh:1:snp:d30cd7f9c528a5a12d753df9e44dd8b51789b225
122,https://github.com/Chaste/Chaste,swh:1:snp:5a155928bc4bca0b4339a3a9acdaaf88197fbf33
154,https://github.com/homalg-project/Conley,swh:1:snp:d206130804cecf29edc98bdda768336937ab4145
283,https://github.com/linbox-team/fflas-ffpack,swh:1:snp:7e66ab2a4664c199fe7c5abad915c3a0804e3725
411,https://github.com/homalg-project/homalg_project,swh:1:snp:b54953d1df2118cae4ab9cfc57a5dc3f3cdcd618
419,https://github.com/cran/hsmm,swh:1:snp:25894daf8ab82ecbefb2d20dd79b7252f3e1a48c
577,https://github.com/niklasso/minisat/,swh:1:snp:3cdd64d18ed2257ad97eee7c9eddb285a0799718
580,https://github.com/cran/mixAK,swh:1:snp:0dcf8293beae6eeccc0c47a7d9f99b82171e29ad
714,https://github.com/timimin/plif,swh:1:snp:947e5d0613b7d5c38aab979cf63c9bb91ad2bb39
932,https://github.com/cran/Surveillance,swh:1:snp:93c887591a20d0f505b80920c1afbdced96f7a82
1088,https://github.com/Argonne-National-Laboratory/PIPS,swh:1:snp:1dff35e9455825dda3acdc937a2c94bc9bc2e618
1263,https://github.com/cran/Rainbow,swh:1:snp:108b6058b750a605e55656f67f6ebd75069e2c93
1991,https://gitlab.com/firefly-library/firefly,swh:1:snp:ae869988970505de1ca8a6edbf7c740a7cdc4947
2902,https://github.com/apik/diana,swh:1:snp:8c7c08add584eca5ac8e9384e67b8eb446a9dad1
2916,https://github.com/bbopt/nomad,swh:1:snp:ff78dda8a75e212361b26469f6497c64a2ca0034
3097,https://github.com/fernando-demingo/ACORD-Algorithm,swh:1:snp:d474faa77b7fb10032467132a4cf42569d9100af
3516,https://github.com/dealii/dealii/,swh:1:snp:0eb0228c2630a4ede05433ef7a75dcf529160ff3
4034,https://github.com/cran/AWS,swh:1:snp:5635e9920dc88d1daf94043e200d3715d4c30ae0
4290,https://github.com/cran/CODA,swh:1:snp:7b5d83482706e8293fe376e2a80241895ab92a79
4571,https://github.com/cran/cluster,swh:1:snp:c05b77a666e5b2d02cb75f1ed352fe1d1bfaae23
4572,https://github.com/cran/FD,swh:1:snp:dc8297298dc270aa09f85ab1fb6daa5a494954e9
4573,https://github.com/cran/FactoMineR,swh:1:snp:bd7410d3936534ae87b264dde6eae6b239099662
4576,https://github.com/cran/mvpart,swh:1:snp:521176248fe477ba816c63369bda80e357a5c386
4577,https://github.com/cran/MVPARTwrap,swh:1:snp:6db1a1d63999b2ba4644efcdfb9e303e2ea3219b
4578,https://github.com/cran/spdep,swh:1:snp:7fbe006e72a4b4152295bb9936281b1b1c4b1676
4584,https://github.com/cran/fastICA,swh:1:snp:60f0e052008f0e0eee3b56c56346f88686c97f50
4608,https://github.com/mpi4py/mpi4py,swh:1:snp:b2c2f2e76c8178f528538f774518c59568ed2645
4628,https://github.com/DrTimothyAldenDavis/SuiteSparse,swh:1:snp:cf0f6478684531492c08a9f24d323d314c52184b
4845,https://github.com/gap-packages/kbmag,swh:1:snp:2b032ed9a39ac929c11a76ed9aa55ba981a9e08a
4887,https://github.com/Z3Prover/z3,swh:1:snp:fc295a9133e66dcc499b67b3690fd0c385733343
5032,https://github.com/sburer/Max-AO,swh:1:snp:0248fa4d81df00050f6e94d89194c76b27ae63c2
5089,https://github.com/coin-or/Clp,swh:1:snp:9c05c3482124d6e7f836a34ad0affccf3d5d386b
5489,https://github.com/markummitchell/engauge-digitizer,swh:1:snp:beb945e2e70eb7e7e65edbf7b458de85d2f50957
5497,https://github.com/worldforge/wfmath,swh:1:snp:d489a3122b1ccd94b0de5e3f3a99dfe7d06fad26
5502,https://github.com/mborgerding/kissfft,swh:1:snp:3ceb7cfabe8bbaa51c5f2fc38552e7e9fccb6584
5543,https://github.com/Ermentrout/xppaut,swh:1:snp:d287b222a16b7fe31ccfd2d3126d39af81b08c54
5586,https://github.com/goualard-f/GAOL,swh:1:snp:8128fb92e5be4fb94292d2454971501fa7948678
5662,https://github.com/sbromle/MvthImage,swh:1:snp:9be0d1e6c4c98ff27ba8fe7ae5fc31a9c40bacfb
5766,https://github.com/Electrostatics/electrostatics.github.io,swh:1:snp:dc63f23b122f5da9d4a8b3a302c4aec153e6c134
5889,https://github.com/shibatch/sleef,swh:1:snp:9143835bf1a7108a970f05fb0664f5322d15c8cb
5891,https://github.com/accord-net/framework,swh:1:snp:e1b58605b9b7da3b54e24ac54f926c60a5d0bf36
5895,https://github.com/axkr/symja_android_library,swh:1:snp:8af6767d35e9500d9a6d9b4196fe39365db03540
6063,https://github.com/cran/factorQR,swh:1:snp:20d44d7386338f77363f0f62e8f720cef6fda884
6065,https://github.com/cran/fbati,swh:1:snp:8991c1369ea5dfe10773e8c9395f438f9366cc7c
6066,https://github.com/cran/LambertW,swh:1:snp:7dadda506449d106164fc856cb7fc8584305f365
6068,https://github.com/cran/HiDimDA,swh:1:snp:288fa9b2125884204f8fbb6412c8988e267813c8
6069,https://github.com/cran/someKfwer,swh:1:snp:6ce2b9acb8074ae83f99d9d5e2782d963c0731e3
6070,https://github.com/cran/frailtypack,swh:1:snp:dce8dcc7cb7648a44d58f1fa558279d68454341c
6072,https://github.com/cran/pcalg,swh:1:snp:64cc1ca23e6e85dcd3ad8d162540388af09bdb4a
6074,https://github.com/cran/mixfdr,swh:1:snp:e60ef61c0d836ac01023f52bd367ec57f50c53b9
6075,https://github.com/cran/MNM,swh:1:snp:5a4c3cc3e31df2a366f5620fd895f027143ab144
6077,https://github.com/omegahat/RGCCTranslationUnit,swh:1:snp:cb647e6c57e78656bb196e68834d60fd664e66cd
6078,https://github.com/cran/gbs,swh:1:snp:b7d29b597d031e6aea48801678a09d0684ea4838
6079,https://github.com/cran/actuar,swh:1:snp:5fbf7d51bf58b0d078a9bb5a7c9a41e4023b2b9d
6080,https://github.com/cran/imprProbEst,swh:1:snp:a5b895c822300ec4244d384a4eb8759fd4439b5f
6082,https://github.com/cran/MFDA,swh:1:snp:658682d3f9d5d567ceb3acac00b439edcceb0935
6083,https://github.com/cran/gRc,swh:1:snp:4b601a676f8bc27546a50b7602bd4acadad9d788
6086,https://github.com/cran/kappalab,swh:1:snp:a2e64d18473b29856306cab25c8360916df4bd28
6088,https://github.com/cran/aster,swh:1:snp:31dfe1206c3a5f2b430f66e85964cf6727eba26e
6095,https://github.com/cran/RandVar,swh:1:snp:7516aca141e2a83bb8ccff8d88b5845bcbe61ea9
6096,https://github.com/cran/ROptEst,swh:1:snp:6deb5252beb0fec3a933d4ce00dd80da58bf79f8
6097,https://github.com/cran/distrEx,swh:1:snp:b245c7ca4f4c636bf44aeba2da9b7930aa64057c
6212,https://github.com/Macaulay2/frobby,swh:1:snp:215b5c1e563f66cbdb5431809f19a5ade1ac732a
6321,https://github.com/coin-or/CHiPPS-BiCePS,swh:1:snp:faae0e0742281d880ffb8b9c686a5e72b6742131
6328,https://github.com/cran/geoRglm,swh:1:snp:812238aa765d5dc4f22362de496b2b0e04809fee
6329,https://github.com/cran/lqa,swh:1:snp:75a867677d54e2e1b84dbe90822628adf42e6238
6335,https://github.com/espressomd/espresso,swh:1:snp:14a858df491cad6d843b15f1e8f14b511f24fdca
6378,https://github.com/coolfluid/coolfluid3,swh:1:snp:cb517195fb5ea4e0c5293eb3b9e03dd7db016c7b
6503,https://github.com/sdsc/p3dfft,swh:1:snp:49097a998230c24d98668d4f71e8b721517eb318
6539,https://github.com/cran/smacof,swh:1:snp:b9d94f71da9858f0eff7f556887abac931f6c051
6590,https://github.com/matplotlib/matplotlib,swh:1:snp:7cba2b1d140bc21516016b34be67bf226ccd7e38
6595,https://github.com/michalkuraz/drutes-dev,swh:1:snp:c739113157f3f51ae2c7e9c333390e2a075e2c27
6634,https://github.com/cran/sfa,swh:1:snp:92664578ed1a1bbaeb9edbd3968da79517a0c4a1
6638,https://github.com/clawpack/sharpclaw,swh:1:snp:5d2812149b28a09bfb626daf057fd27e4ab2f6a5
6655,https://github.com/boTerpPaulsen/OceanWave3D-Fortran90,swh:1:snp:3a4fdd18703f78ccba4431b06b42196a27785503
6658,https://github.com/cran/eRm,swh:1:snp:16862cde72660f7e4501311271436552980ad038
6682,https://github.com/gap-packages/anupq,swh:1:snp:d7ed662a239d3805410589918aa76cefc87a88ea
6705,https://github.com/gpfeiffer/zigzag,swh:1:snp:302d8b65bb60f919a337dc0fa0f8245eb5175142
6723,https://github.com/fcatools/conexp-clj,swh:1:snp:cf4461804e677afc3a6d261ad94739389208c48b
6767,https://github.com/cran/heplots,swh:1:snp:b22d0a27ed0c3b3a4aa6e1fa28c27775ee980c97
6768,https://github.com/cran/pmg,swh:1:snp:b0ebac22b3d10ae932978e4f6e78fe815480fa37
6772,https://github.com/cran/BayesX,swh:1:snp:e651c8b41c844e4b5ee991a08d9f5b46b2d609f9
6774,https://github.com/cran/AdaptFitOS,swh:1:snp:6d766616a97c77b9c49670d5eb7a93bb1ae92985
6775,https://github.com/cran/eha,swh:1:snp:1088ee8f7e162f2e1b61c39df9eb0ba42e4d2f37
7014,https://github.com/sofa-framework/sofa/,swh:1:snp:bbb0b95d71012882710c685fce9dbf0ceb81ffef
7123,https://github.com/cran/WGCNA,swh:1:snp:843dcabafb92ba868d9cab948e7415a4a8297a34
7135,https://github.com/brucemiller/LaTeXML/,swh:1:snp:666f30ddf6b0955b9463d45daad785954b77995b
7804,https://github.com/KratosMultiphysics/Kratos,swh:1:snp:a015c44e05301706f845ed3dbcac269605cac14a
7955,https://github.com/cran/Rlecuyer,swh:1:snp:f6aeebc74eeb406d7e8b0bdfca5a8b68029c0839
8048,https://github.com/cran/sprint,swh:1:snp:ae581e0aeafb7c9a300f4c2dc32d45d41bc363ac
8075,https://github.com/cran/Intcox,swh:1:snp:90841e7ffd075de73bac16094a4611fb72808eba
8128,https://github.com/cran/Segmented,swh:1:snp:8dbbf4e02389ab47fa4525354cc453183d49f752
8137,https://github.com/cran/Compoisson,swh:1:snp:4f17dad8370232c2f7ed87d5940227e8ef85ae58
15494,https://github.com/cran/IsoplotR,swh:1:snp:c5f3c93125fecd97fff323ea3ddc0d176f00700e
15512,https://github.com/cran/CARBayesST,swh:1:snp:b12c2dda58e5f12ba1008a0caeff7cdb36a5f07f
15514,https://github.com/cran/ctsem,swh:1:snp:5d3e7ed8cfce72e158e69b13c188ab538d742a82
15516,https://github.com/cran/DescTools,swh:1:snp:be732c8e34f1226e115dc1550fdb1e643474226f
15519,https://github.com/cran/MonetDBLite,swh:1:snp:b27c7ee36903981e261839aac2794096f315ac80
15520,https://github.com/cran/mosaicData,swh:1:snp:b049eeb4ac3f16bd7447071f8f9ba553a3142f70
15576,https://github.com/cran/RSQLite,swh:1:snp:2e25ce0bec49bdbe46db3d958259d19b79cccb40
825,https://github.com/sagemath/sage,swh:1:snp:5132188cdf169d8ffcf2e44f41ad30734ecbf685
4557,https://github.com/tidyverse/ggplot2,swh:1:snp:cd3b87109a923e4344a27defdaff11f7ea92a18c
4557,https://github.com/cran/ggplot2,swh:1:snp:cd3b87109a923e4344a27defdaff11f7ea92a18c
36204,https://github.com/UKPLab/sentence-transformers,swh:1:snp:0c5b7ea0233c8c8adcb0e7c6b56fe6f3ed7df6df
45218,https://github.com/chakravala/Grassmann.jl,swh:1:snp:0b6ea6b0d6aafb3d6a830c36502eec96c115a650
45217,https://github.com/ctkelley/SIAMFANLEquations.jl,swh:1:snp:8ca453aaa64cd96f8676ecfe887fc6ed010a9fa5
45216,https://github.com/cran/GMMAT,swh:1:snp:8eab422674d4a7a7475e10a9d5255baadea0e4fc
45209,https://github.com/cran/spmodel,swh:1:snp:b66ed88f09037282d23b7a6a24ac3155cb9e13a7
45206,https://github.com/cran/kairos,swh:1:snp:638244157434fbdbda96dd0312ba0eb41b88cc18
45205,https://github.com/cran/shoredate,swh:1:snp:0e4d5de50eb24218d5244d0763ddf53ca948a3de
45199,https://github.com/FabianAltekrueger/WPPNets,swh:1:snp:34b9a3d836f2c91c2c69ca8c514d419c4fb564b4
45198,https://github.com/FabianAltekrueger/patchNR,swh:1:snp:e38a6ab1bc5513dc4df19bd58eafe5b04f10e2d0
45183,https://github.com/johannesbrust/PLSS,swh:1:snp:f0b07d81e70edade42670dcf5dc462e5d502fbe5
45175,https://github.com/krivenko/som,swh:1:snp:34eec99e57cd968e0b34df5116f8612b3a3e6bfd
45164,https://github.com/cran/wwntests,swh:1:snp:b22cd5e5663d3b54690e887a7caa0a2041073d97
45156,https://github.com/labsyspharm/mcmicro,swh:1:snp:06a6f8ea925f0dcc3e8cd2fbba2adb401d500785
45148,https://github.com/UKPLab/sentence-transformers,swh:1:snp:0c5b7ea0233c8c8adcb0e7c6b56fe6f3ed7df6df
45146,https://github.com/MaartenGr/KeyBERT,swh:1:snp:0f4d53c85be3b734b57dff71572032c3ee4767dd
45142,https://github.com/cran/multilevLCA,swh:1:snp:a563ebb3607dab8c3a1dccaa49f11e6fc3337e96
45139,https://github.com/dolfin-adjoint/pyadjoint,swh:1:snp:5f600121abb7f96e7b71ab9fb8617062a5a4e121
45134,https://github.com/SudoDEM/SudoDEM,swh:1:snp:0a6c48fe3f15558bc7b0f08cf03d1e0e637b13ea
45133,https://github.com/szhorvat/MaTeX,swh:1:snp:ef055d56a2085a1e748b7451fabc275bf8e25613
45118,https://github.com/GeoEnergyLab-EPFL/PyFrac,swh:1:snp:df489651a940bf3794b3a47c3c7dc3c21fe8f24a
45114,https://github.com/ryosuke-akashi/AtomREM,swh:1:snp:b05d33f45b060ed74a8fcbf81a67225423ee132b
45080,https://github.com/OpenIPSL/OpenIPSL,swh:1:snp:7748201cedce716a2366f994e81a3a6bcd3695f0
45079,https://github.com/MaxHalford/prince,swh:1:snp:1ed22f7e7b5a0d70f90ad4d054558145a096612f
45072,https://github.com/openfaas/faas,swh:1:snp:24d72f465ebf439c4d0363f9d55a4b788f7ee310
45070,https://github.com/Pranab-JD/LeXInt,swh:1:snp:46ef8a8efe49097cc9edf3e7ba90491b413604f8
45066,https://github.com/MarieRoald/matcouply,swh:1:snp:5e5a27e4fb4f7d74ead02b6a1cbb1aa3ae71315c
45063,https://github.com/htemiz/DeepSR,swh:1:snp:70beb47cb20257f3592066843b9f2b12c2a3e0dc
45061,https://github.com/idaholab/blackbear,swh:1:snp:eea6724a4038afa5f616b788f866c8d1311e01db
45059,https://github.com/ilent2/otslm,swh:1:snp:70c150335cb0d705aa65627e7f440f244701b6a8
45058,https://github.com/corlic29/LaserBeamShapingApp,swh:1:snp:ec6dbfd2febbcf930bceb0763ec275d8580d0c8f
45053,https://github.com/bohm/binstretch,swh:1:snp:e3120e2da2818ad628a47df767e453cab7918b27
45052,https://github.com/unitaryai/detoxify,swh:1:snp:4fa0a88ed4cbd6c4a9e71de1d946f3c018dbbb1f
45049,https://github.com/cran/dendroTools,swh:1:snp:b2ac5610e79fd7092ffc3aec60ca527db007aa59
44928,https://github.com/tensor-compiler/taco,swh:1:snp:950a452619d5207aa9a1281b76fd514b06c73470
44924,https://github.com/Jutho/TensorKit.jl,swh:1:snp:9e3e99d5a1833201f4edd9ebec29d3c4f4dd03b9
44919,https://github.com/thorehusfeldt/tutte_bhkk,swh:1:snp:85973c8e488afe808f177c3b03ef21ea9f52e326
44913,https://github.com/ErickErock/pICNIK,swh:1:snp:19f3b12d1e025fd449f121332469319b79a098d5
44906,https://github.com/skystrife/cpptoml,swh:1:snp:3f19a6ca06c2a8fa9af23dce71b80a7aa6e74efd
44889,https://github.com/CompFUSE/DCA,swh:1:snp:8dbda1db97074cb967a2eada587dbc9182abc388
44875,https://github.com/saforem2/l2hmc-qcd,swh:1:snp:7b2e41fce714f17ab3aa1c5225747e7705b0cab1
44873,https://github.com/MikeSWang/Triumvirate,swh:1:snp:f4abcbfc920fef7ca911785fe7b7659ce8dd7a3d
44872,https://github.com/cran/stepmixr,swh:1:snp:24536a48a6e566ad954671ec9503fb85a8fc1126
44869,https://github.com/Labo-Lacourse/stepmix,swh:1:snp:1784343af6921b460a381358173ebf0f3c3d73e0
44868,https://github.com/Christof93/SciKGTeX,swh:1:snp:0c46b6bdb53223d6deddfd989a701230ffacc80a
44865,https://github.com/cran/ctsfeatures,swh:1:snp:ffaa44a1ac25b78c1e70aa3ce3e73792ff00bf85
44848,https://github.com/biaslab/AIDA,swh:1:snp:027f802372b716cfd93389a20455530f594a472f
44847,https://github.com/StanJulia/Stan.jl,swh:1:snp:7e77e18f6eba2c13554be75b103ddfe4983bd68a
44846,https://github.com/biaslab/ReactiveMP.jl,swh:1:snp:ead93f26f9c22aaf96a9a08225811b431913ece1
44845,https://github.com/biaslab/RxInfer.jl,swh:1:snp:ccea55777866850af1b3485096a0cc86ae16122c
44841,https://github.com/randriu/synthesis,swh:1:snp:b4d22ae090fad4ba8b31954574663bbfe8e43192
44827,https://github.com/damianoazzolini/pasta,swh:1:snp:d8c5573515da50971e0e8497493699ecf3680296
44826,https://github.com/Appliscale/xprof,swh:1:snp:9557baeaf3bcf750242a713eab105b9925100393
44481,https://github.com/rdicosmo/parmap,swh:1:snp:2128ed4f25f2d7ae7c8b7950a611d69cf4429063
44474,https://github.com/cran/mixl,swh:1:snp:cd94f8fce97d9d563fa713b179c1efee93e62c9e
44470,https://github.com/EcoJulia/Microbiome.jl,swh:1:snp:71d853c7c1ff976fca9c54fb29320347de912ee4
44469,https://github.com/mermaid-js/mermaid,swh:1:snp:81f9e3f500efad87e92e6f51efca21cec28dda1e
44339,https://github.com/Crunch-UQ4MI/neuraluq,swh:1:snp:c7f6b9e7410054f62e22df0d548f7942ebecb791
44330,https://github.com/LLNL/Juqbox.jl,swh:1:snp:10e23ea492e859b788495f71a4694ce0bf81fc7a
44326,https://github.com/MichielStock/Kronecker.jl,swh:1:snp:f2210ef034102c9bac4b9a5a6b0601129fce0cc7
44325,https://github.com/nickelnine37/pykronecker,swh:1:snp:b56bc001cde5c34e54ef8605dc9f121c966b3db6
44324,https://github.com/SvenMarcus/hpc-rocket,swh:1:snp:f7af8fce03e6af8e1f0a3322eb991bd5cb9f21a3
44319,https://github.com/parmoo/parmoo,swh:1:snp:a2cbdd8409461715e3734cd1a0ab7d030cf96bf2
44318,https://github.com/BorisNLatosh/FeynGrav,swh:1:snp:d0b658751add3c85e36243cbc6e34b1c1f382c6a
44311,https://github.com/SedFoam/sedfoam,swh:1:snp:75fbc87f7aa3cddceaeaf57bb38320c7b0227b74
44309,https://github.com/cran/Bayesiantreg,swh:1:snp:a21892e1de8ca3980a0aa2f668c8d2526bbfc750
44306,https://github.com/cran/metR,swh:1:snp:c16614688283fffd29514dd6fa3fa7b8d630ac01
44302,https://github.com/mzilhao/Jecco.jl,swh:1:snp:87101b9b024863524ac829217ed6d9b1b4a452ea
44290,https://github.com/cran/tidycensus,swh:1:snp:c053f1711431acaec23f223b22e023dfaf5c7f58
44286,https://github.com/JeffreySarnoff/ArbNumerics.jl,swh:1:snp:eb9eab5c166b1d5f9e31cd9884e342ca438210ee
44272,https://github.com/ciaranm/glasgow-subgraph-solver,swh:1:snp:652c9fd95e0053c19ab253179c81dc938ed75b4d
44262,https://github.com/denglingyun123/Multi-strategy-improved-slime-mould-algorithm,swh:1:snp:489b77262850eaf7a028f6749b8ac7d8cf71700a
44254,https://github.com/numericalEFT/Lehmann.jl,swh:1:snp:c322650d46195ebf627396d7e4a4439ecf193bf9
44253,https://github.com/jasonkaye/libdlr,swh:1:snp:f4e8d48ce3a7b09e44b31e2c22f0f254c8b2e03c
44252,https://github.com/SpM-lab/SparseIR.jl,swh:1:snp:0a22e4a7e7ae3d50cf1fb01c29bc6b2c161bd740
44242,https://github.com/cran/terra,swh:1:snp:b0cc52961dbee5d53f179a2296d1691c0830ceef
44237,https://github.com/cran/signnet,swh:1:snp:fa73cb2f2f20c00959dfa8d74701cfce8c7df548
44229,https://github.com/SciML/JumpProcesses.jl,swh:1:snp:73e6b3e6c29c4495de6e8d53f0f4fa60c53bd1a0
44223,https://github.com/lasso-net/lassonet,swh:1:snp:c450e82b3de9995f8d0322c1c424db4402806890
44205,https://github.com/albertocasagrande/pyModelChecking,swh:1:snp:d5925ce84f4fc48581ffc02792beed0af0a23e27
43494,https://github.com/triqs/dft_tools,swh:1:snp:9a12427dff7e26339d12c12ef973fd3379ee8193
43480,https://git.uwaterloo.ca/flacombe/krypton-softwarex,swh:1:snp:5696c197443c9ba05cf04ebcd915686d2d6ab7e0
43479,https://github.com/WestHealth/pyvis/,swh:1:snp:7e9456939180a8b061978538f72ad2b255ca1635
43478,https://github.com/UWNETLAB/metaknowledge,swh:1:snp:20f784868321082647a763a5fbc4888968cc7954
43477,https://github.com/JetBrains-Research/pubtrends,swh:1:snp:fd511cba115e5ee0bba25e8509e578a3f81b6058
43459,https://github.com/mlpc-ucsd/ViTGAN,swh:1:snp:d43e45a1d7305d213c526a192c96c3ee4acd92fb
43458,https://github.com/endlesssora/deceived,swh:1:snp:6e6819e66dbf6f75944df04c8e68087fc8ef7c71
43457,https://github.com/google-research/maskgit,swh:1:snp:31273d8ecf972aa4131e61453fc17e7b99b1c9d9
43456,https://github.com/cientgu/vq-diffusion,swh:1:snp:c1553b79242c9fa7f8de2b5b0f487b03cb8b3d35
43455,https://github.com/PeterouZh/CIPS-3D,swh:1:snp:94e75f89911aaffbba4968868a9b9c8f88629fa0
43454,https://github.com/facebookresearch/StyleNeRF,swh:1:snp:2c1d73685c81ed232bd426df5f205218e25b6820
43433,https://github.com/BMEII-AI/RadImageNet,swh:1:snp:7c810fb20ea459c9dffc14ae1ca946bdfb08ff7a
43426,https://github.com/richardobi/medigan,swh:1:snp:c4d6cde14d71a5a06985e78bf65a76374c1a6f02
43422,https://github.com/seshnadathur/Revolver/,swh:1:snp:458c4026763860975b457261fa2c11efd0dd874d
43383,https://gitlab.cosma.dur.ac.uk/swift/swiftsim,swh:1:snp:7e10234721b187dfa7ce07f3bac5a6217f9c1f4b
43270,https://github.molgen.mpg.de/barel/NetCore,swh:1:snp:c92710fc7353348bb67d26da223e48e91b3fa3f8
20278,https://github.com/cran/R2BayesX,swh:1:snp:c1274f77f1d3bb76e8a23a50e2b35ef6a07fecf4
20286,https://github.com/cran/cpr,swh:1:snp:76a97c0d1fb229d766aa703254f7803358d1dffa
20290,https://github.com/cran/IMIFA,swh:1:snp:ca403b85dd1b226a71cfbd98ee1bb56a8c6e1d73
20293,https://github.com/cran/shiny.semantic,swh:1:snp:cf028468a3e1a891a51e60a5b7ae138311a33055
20297,https://github.com/cran/kdetrees,swh:1:snp:bfc2f83e96957eeda53392a35cb6cacec0f2b866
20314,https://github.com/ComputationalRadiationPhysics/picongpu,swh:1:snp:75f362dbd38e3eb11afa33ab1ed3eb74cae1341c
20316,https://github.com/gap-packages/cvec,swh:1:snp:73e650249e17bb39fa203c46cfb0bf465565fb61
20319,https://github.com/cran/ASMap,swh:1:snp:3ca5a04a90179de293d21b80c16710f52fac37ca
20328,https://github.com/jtalbot/riposte,swh:1:snp:ce3475576e7c646fc372733272a00fedad66b811
20359,https://github.com/cran/dbEmpLikeNorm,swh:1:snp:31392c1cef0381e3282d4ca2f11103c5c6bb306c
20362,https://github.com/JuliaGizmos/Interact.jl,swh:1:snp:e0749b0927cd10810425d4ef9dca82a1d31867ad
20363,https://github.com/GiovineItalia/Gadfly.jl,swh:1:snp:003614afaaa88d892ecc29b0eabcff5bed0da07c
20364,https://github.com/chkwon/Complementarity.jl,swh:1:snp:d2f6a6cffb7f4ad56a17bbf5bab69db86697ca99
20365,https://github.com/chkwon/VariationalInequality.jl,swh:1:snp:d962344948da877416c6012f592ba708318e9938
20366,https://github.com/anriseth/MultiJuMP.jl,swh:1:snp:4792dbd1c925ad3db32e879d1eaa37fb5529040d
20368,https://github.com/taylordr/Temporal_Eigenvector_Centrality,swh:1:snp:707a4031c407c07f5ea27169cd9172104d598817
20369,https://github.com/hoburg/gpkit,swh:1:snp:2ae0dac5396c440d604c82ce30e094456d415c77
20378,https://github.com/cran/NHMM,swh:1:snp:0b8981a23f19fb8978f8e9c2991913ac4bcd9ca1
20393,https://github.com/cran/AR1seg,swh:1:snp:f05d11aa8b355cafdc5e3b9bd11ecd54c431a80c
20395,https://github.com/cran/PhyloMeasures,swh:1:snp:f263673e8f6f8a9c6d43c092ba7a22e97ba1c772
20405,https://github.com/cran/afex,swh:1:snp:9d4d7443466057708df355e0481feb0a38ccb7af
20437,https://github.com/cran/d3Tree,swh:1:snp:670bd753631abe95efe2f305d247c04661f4da76
20438,https://github.com/cran/DPWeibull,swh:1:snp:b65a8272bb5db29e3905cbf437b1c9e991fc0c6f
20440,https://github.com/cran/ggseqlogo,swh:1:snp:665eeb01c01d955238096377d8606a4baf1e6860
20443,https://github.com/cran/meshsimp,swh:1:snp:4a7f28da4df6c41c7b67b3cbdc8d52ccebbd99cd
20446,https://github.com/cran/UNF,swh:1:snp:f4fa71fbfc94ac7aceedd5d022bfb307dcf3e5b7
20448,https://github.com/progschj/ThreadPool,swh:1:snp:494aafc18785c0d6e3776447b752fa45d4543323
20455,https://github.com/kokkos/kokkos,swh:1:snp:a2145ee4efe11f64c95f119307df81725b6d1e7c
20476,https://github.com/MathBioCU/SteadyStateApproximation,swh:1:snp:6d7fdf9d835bb7e2efc4050c579f5ea5fea86057
20486,https://github.com/cran/vscc,swh:1:snp:ae0aabda67af45bc5477c7f3599075fa35a80ce7
20487,https://github.com/cran/longclust,swh:1:snp:9526c71fa76ba6d3cd64c3979d43eb83181ec847
20489,https://github.com/spikegpu/SaPLibrary,swh:1:snp:0c087879928900f54902e6d1b6ace5cdcf54c3e4
20492,https://github.com/smirarab/ASTRAL,swh:1:snp:340ad23a8deaee04efee3cc61821575b7be7f868
20517,https://github.com/cran/qrng,swh:1:snp:2f953a61475899d8a16091034617dcf7062a5fe4
20529,https://github.com/cran/glmpathcr,swh:1:snp:66a26c31773766d25dd6f8359ca008fe4f60c55e
20530,https://github.com/cran/clusrank,swh:1:snp:9d7ac62909d3df220c22c92f728a070f8ccd369c
20538,https://github.com/jatecs/jatecs,swh:1:snp:bafb4973dfa8799574a5e70405f82a32c589ad4e
20540,https://github.com/explosion/spaCy,swh:1:snp:d876ac5f146fd67e7902a38c182e930370e1e514
20605,https://github.com/akiss/akiss,swh:1:snp:b6f131e742033b3300e8c41744d391920b61eaa0
20620,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00074,swh:1:snp:23a36a4beea29b34a28a5a7ae0094c38b017743c
20621,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00070,swh:1:snp:a7d91879c39309349e90743c1c17f4dad3cd4127
20622,https://github.com/ElsevierSoftwareX/SOFTX-D-15-00049,swh:1:snp:fe267c958c58eb8027f98432d120f463fcf4f038
20623,https://github.com/dinesharanathunga/mgtoolkit,swh:1:snp:917f290f13f6833dac5492cbf18291fae6ee6088
20624,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00090,swh:1:snp:f943a27ae8eec955595bc0862bf59f48c62e90cb
20625,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00010,swh:1:snp:a33cb44783e88150887b75cac9b1d890e42bdc77
20628,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00022,swh:1:snp:4f8c5ef17e892e4eaeb06cb0ef9de0886edd7e36
20629,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00024,swh:1:snp:b3fe5c621cc4599d4e9af814993b16c84b4bb3fe
20630,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00031,swh:1:snp:bb47cc338bc13e26e0c96ec5d6456ceeb9b4be31
20631,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00054,swh:1:snp:d3f92e192bbdb34f84cf5080a2817b8db57e0b74
20632,https://github.com/ElsevierSoftwareX/SOFTX-D-15-00084,swh:1:snp:5d23213c93a468be699494226496d96250a0a24a
20633,https://github.com/ElsevierSoftwareX/SOFTX-D-15-00087,swh:1:snp:11d86dc4f501ddb190947cb616a467a355d20bd9
20634,https://github.com/ElsevierSoftwareX/SOFTX-D-15-00082,swh:1:snp:f31c3d3db91b9d0198431798fc99d762c933120a
20635,https://github.com/ElsevierSoftwareX/SOFTX-D-15-00040,swh:1:snp:7cf56fd335818742a8fe7e1f8f88355225bdfd0f
20636,https://github.com/ElsevierSoftwareX/SOFTX-D-15-00035,swh:1:snp:920d12778f7cb90affffbbd0de5139cad1f87436
20637,https://github.com/ElsevierSoftwareX/SOFTX-D-15-00076,swh:1:snp:c86e6263a1e33e0670dd6849f0631c92575626e8
20638,https://github.com/ElsevierSoftwareX/SOFTX-D-15-00046,swh:1:snp:e709733801f82656e1395f43b318cb3e7457b420
20661,https://github.com/sfilip/firpm,swh:1:snp:aacad16f66a3799568e1637e9e9551e450fab480
20710,https://github.com/xantares/ahmed,swh:1:snp:2121c4a4bc3a8233989dbad14faca9254a452daa
20713,https://github.com/cran/rSymPy,swh:1:snp:af85a7d7c60fe0620d194c28e8b850aab4024382
20716,https://github.com/cran/algstat,swh:1:snp:e914d36d8c8df7a51398f71230cd5ceffefd7dac
20717,https://github.com/OpenPTrack/open_ptrack,swh:1:snp:bd0841d2b3179fe02edff7ddfd21d51d681d0596
20718,https://github.com/SebastianSchlag/kahypar,swh:1:snp:dd21be805f2e48d526fde6733ce18fb55b1c29a8
20726,https://github.com/cran/atmcmc,swh:1:snp:9f4215108bf5d5bfc4f6206ed5e8ad538a9c9920
20727,https://github.com/cran/adaptMCMC,swh:1:snp:163a0ac08f16736da871928fa00e23e67361e558
20745,https://github.com/cran/nmcdr,swh:1:snp:2376f257be06c296d96dc0f2e2e616b287893f00
20747,https://github.com/flohorovicic/pynoddy,swh:1:snp:74c5bf37cd4858cc05ab6bfbc62ceb344012eb6d
20785,https://github.com/davidepatti/noxim,swh:1:snp:5d6bc90f479423d548ac4f83c13d4b629b7e9d13
20814,https://github.com/pydata/numexpr,swh:1:snp:4945f5cc78d23634cf656ee86da5396201f292e0
20815,https://github.com/miche-levi/pncbc-eftofpng,swh:1:snp:1044d380b1067e7b4b557aa2835a07166d472eec
20821,https://github.com/stanleybak/hylaa,swh:1:snp:044a5c98764ed1fabc29aa37d3e6be9a5296f042
20847,https://github.com/clwainwright/CosmoTransitions,swh:1:snp:cc0130ca03f39c8c9aa6635b55261e92ce620cb1
20864,https://github.com/AdrienTaylor/Performance-Estimation-Toolbox,swh:1:snp:fdc48cdfc0cf1310b0b6fcfdc35b6290f50b1360
20867,https://github.com/chrisbrunsdon/getcartr,swh:1:snp:422f0c65d3d1b1e4b641356d6c9d39518c494e1f
20868,https://github.com/omegahat/Rcartogram,swh:1:snp:e86f722286f1940a5cb92464edef50f3eda19a0e
20870,https://github.com/cran/noncensus,swh:1:snp:871a6bea83b5c90fca059cf6fae2b8e7a631b427
20881,https://github.com/cran/gmp,swh:1:snp:be6a1a9943e8022a83084045afb8d82510d5cffe
20883,https://github.com/cran/R2Cuba,swh:1:snp:31cb776eedda1bfcf6dbae806579874a22336f25
20899,https://github.com/cran/ergm.graphlets,swh:1:snp:92d89faccb0e698210e1abf8b20dd8be8f3661f3
20900,https://github.com/cran/ergm.userterms,swh:1:snp:13672b7ff9576b6ed87f69abfe45d411adf10f95
20923,https://github.com/dimpase/coco,swh:1:snp:fa333c234ec14877b04086110d3211772239209e
20925,https://github.com/nathancarter/weblurch,swh:1:snp:1408009e59527331002c022a6e1e5d65612bad5a
20933,https://github.com/cran/pre,swh:1:snp:1be3a9d74b0ab4d026787383b03e3d1b91a94087
20935,https://github.com/bethgelab/foolbox,swh:1:snp:84091dd8c2130d6eb90b1ca6ef212a7e99e19db4
20936,https://github.com/Lasagne/Lasagne,swh:1:snp:dcba23c52c9d1522b28df191989eccd124f8942e
20938,https://github.com/tensorflow/cleverhans,swh:1:snp:495ffde9d25e9a36110c2722d0d8ea2f817e45b3
20939,https://github.com/pytorch/pytorch,swh:1:snp:8bc94e0401caaa21ff26469aeb8d807736bb13ce
20940,https://github.com/dmlc/mxnet,swh:1:snp:8a2c7358ee62155b3bdf50d9d6991e548baa55bd
20941,https://github.com/khanhptnk/bandit-nmt,swh:1:snp:37e1a4f37ee1e1618b6aa4cfd940bc9ec7168e98
20947,https://github.com/clarkware/junitperf,swh:1:snp:a3274fdb44aab8504bc39c2c107fcddab8c8d92f
20960,https://github.com/heechul/palloc,swh:1:snp:7fe4715fe3e0e5115ec62cf48a77f1df6765275e
20981,https://github.com/ag-gipp/vmext,swh:1:snp:8823eff2bd81a42a66f57bdf6bc72b3a946ff653
21000,https://github.com/miciosca/WiLE,swh:1:snp:0aac0d9e008d8932d65c370c1a139ec4b872e83a
21015,https://github.com/cran/amei,swh:1:snp:c3827194ce5c6fdd2f3ef4b13be5cc7a2ee9964e
21018,https://github.com/cran/BPEC,swh:1:snp:9f78d57c93e3d5ffba1ea1457259d66a014ad9a6
21861,https://github.com/cran/rkt,swh:1:snp:57f6819e71b5efac697125af2caa43d7a2070afe
21863,https://github.com/cran/cobs,swh:1:snp:1efaec594cd9533a32f4e680f8527cbd9db68b1c
21865,https://github.com/ferram/jtabwb,swh:1:snp:92290f032563b638646ae98dfff561a494a572af
21872,https://github.com/jlaragonvera/Geometric-Algebra,swh:1:snp:b1818547e64f5eb25f2a3feb031ff071cce5b57a
21880,https://github.com/pcasau/FITBOX,swh:1:snp:482fe3be7f8ceff3d418f49e448668f6ac4b1e2a
21884,https://github.com/carlobar/PDToolbox_matlab,swh:1:snp:1ffddfe2c91f2faf11e3eb80ce82ca19b4280c7b
23198,https://github.com/agrbin/svgtex,swh:1:snp:99551bfd4b37b55ffa0962fbb59d06ecb9d441e8
23199,https://github.com/trafassel/Gestaltlupe,swh:1:snp:8486bd3b9ebeae9d620b4b143de723777448d0e4
23200,https://github.com/ajt60gaibb/FastAsyTransforms,swh:1:snp:2a16873d3ccacf8b6626193048a3a198c29a8c71
23201,https://github.com/named-data/ChronoChat,swh:1:snp:402ca26fbce5f3a6e93f30282a0f19e1a865b9fe
23202,https://github.com/cottereau/CArl,swh:1:snp:68cdfe9a059e730a313f1b462fbf5cc739780ea0
23204,https://github.com/tingelst/game,swh:1:snp:dc65d361427518dcfb5cec06820d121d98cc11dc
23205,https://github.com/mars0i/lescent,swh:1:snp:3b9000b09591ee6f898bf3f8ec00757a60c9a134
23206,https://github.com/KaiSta/gopherlyzer,swh:1:snp:1acc064396237793f6f75d4e80a7e7bb91797750
23208,https://github.com/coreos/etcd,swh:1:snp:fbe43969dfaa76528f847f3c69f44ef235c83c81
23209,https://github.com/hodbn/pyobf,swh:1:snp:037169d34316f19d23a63b7dad11dfd4943e08f3
23210,https://github.com/simongog/sdsl-lite,swh:1:snp:29d49360a0ed713adb39be55cccc5b8a4d242532
23211,https://github.com/fclaude/libcds,swh:1:snp:cacb13ba1dda86b15348d6b900b2b5d1806cd5ab
23213,https://github.com/aprove-developers/LoAT,swh:1:snp:ab0a1131eac9fcfc3350ce897ace6ced980d20c4
23214,https://github.com/kermitt2/grobid,swh:1:snp:342e852debdca2a0afb32f9a61e8e2a707b1b7cd
23218,https://github.com/maddyscientist/AlgRemez,swh:1:snp:d92e76a94747d58a576804ba678178e91991db45
23219,https://github.com/tkralphs/MibS,swh:1:snp:adc86095884d286a01fc7cf201aae638c0c9449a
23220,https://github.com/GollyGang/ready,swh:1:snp:9d99e9d8cd88a1db9bb977b7a02b41aa4054c30e
23221,https://github.com/sivaramambikasaran/ESS,swh:1:snp:9941a41cb646aa88055a52e3f8d264be152feaf1
23222,https://github.com/amaloz/libgarble,swh:1:snp:c3696fd73bcb7600eac393f5253a7a4cc3432256
23227,https://github.com/coron/fhe,swh:1:snp:d0d5fe74a70be04238a358b37d77b436f1663699
23229,https://github.com/CryptoExperts/FV-NFLlib,swh:1:snp:50b930de15cabd5d31e98d8ca3a67b2581345f5f
23238,https://github.com/hfp/libxsmm,swh:1:snp:4d69fbc829947d005f2fdbf22b31d6f39ab52e16
23250,https://github.com/chuan/chmm,swh:1:snp:ce51a6881eba1add7368dd3d5fec6d4c3d8bdee0
23252,https://github.com/hubailmm/K-S_1D_Swept,swh:1:snp:04ab75bb802ddac6dfd690eb3b5670471868874c
23278,https://github.com/cran/gamlss.util,swh:1:snp:2db5bf819c912c4fc23a374353aac837c8ad6c8c
23279,https://github.com/cran/dlmodeler,swh:1:snp:1a461e614a51829a1c37c239deb4ff92cfa5852d
23282,https://github.com/interl0per/CirclePacking,swh:1:snp:7c886bb8dfe1e83491612f64ff3f525af88c10d4
23283,https://github.com/aroth85/pgsm,swh:1:snp:4df21242a4fefea32b4a4516e7c326cc807b5f7c
23284,https://github.com/BEETL/BEETL,swh:1:snp:a2a50a10d24e47fbb1406932c603881cdf50f542
23285,https://github.com/Jutho/TensorOperations.jl,swh:1:snp:d6fa5f0785664618d04a2d81c5240b838de13eec
23286,https://github.com/ITensor/ITensor,swh:1:snp:6db697e05791ec451bdeb4df0344b08f45257a8c
23312,https://github.com/rycoley/prediction-prostate-surveillance,swh:1:snp:73ae092bb66ef333899e1545585340482bb72e1c
23313,https://github.com/015988/hypershed,swh:1:snp:b5d323d873b6585f19b85f19f0f65f3fc553857e
23314,https://github.com/ABCgrp/DORAEMON,swh:1:snp:78da55f3835536f52af153dacc3d120732575b99
23315,https://github.com/cyinbox/DNADU,swh:1:snp:a03f0a000b4831f10e781b104c1cb8006525f4b5
23316,https://github.com/stephenslab/rss,swh:1:snp:085672b8f668feb2d68cc8102890714b27b5337a
23317,https://github.com/hardin47/rmscca,swh:1:snp:f4d0ec39cd96be11b53f2e61c2979110dd44b96c
23318,https://github.com/FLC-project/ebs,swh:1:snp:09e0d68671584ea71456c1aa05acc044c3081d2b
23319,https://github.com/shimaof/heterogeneous-traffic-model,swh:1:snp:897424c99ec8ccc0b76547721fb1096718c12868
23320,https://github.com/LaoZZZZZ/prefixMatching,swh:1:snp:efc71500e57cebe55b5863c3175c10038f313a51
23323,https://github.com/janoskk/computational-number-theory,swh:1:snp:addd86de745e692197c9dbc6a5fa4d0a44e3f0a7
23325,https://github.com/cmontemuino/mspar,swh:1:snp:355cb8621f35bdc649cf6824d5eda2755db8fde1
23327,https://github.com/blaschko/tree-structured-covariance,swh:1:snp:6c23ad1cbb9891cf41382e92a360ab9c90ec8d68
23329,https://github.com/bioinf/Sibelia,swh:1:snp:bb338789523fd733c48ac7f52dba9a7e443ed2ff
23330,https://github.com/part-cw/lambdanative,swh:1:snp:cf96b5b93013c5a32e0ab5d500b24609019c67b7
23331,https://github.com/Lab-Work/MCMC-based-inverse-modeling-of-traffic,swh:1:snp:532f21a1c9a95a09b3e69cbacf9a982b4fd95658
23332,https://github.com/martinra/psage,swh:1:snp:cd8b16b0eb7784d1f637173aedc02e60405c299e
23333,https://github.com/springer-math/adventures-in-graph-theory,swh:1:snp:6246301dbad02b87aa940abb19c458d94cf734b4
23334,https://github.com/kypraios/epiABC,swh:1:snp:d3cf70c7ca9933da8130f7fd4aed4d60fca03d59
23346,https://github.com/RalfGollmer/ddsip,swh:1:snp:4cc01a5992fe718ac1bf95343375adc82d793a92
23365,https://github.com/williamhunter/topy,swh:1:snp:46cde18c1a2c3c3531478bcd2da28dd9fbb75dfd
23367,https://github.com/cran/fractal,swh:1:snp:2deea2184216451f919df43d7cb5602f048297df
23381,https://github.com/cran/bclust,swh:1:snp:e68b42393843bacb567004d9d17cfda656033ef4
23393,https://github.com/cran/ff,swh:1:snp:03c49c1168b1e275f211d71cf6a9a846c189b8b2
23401,https://github.com/cran/HadoopStreaming,swh:1:snp:9ad7d85b787a44ee1906c9b8933110eccc6db8ff
23405,https://github.com/cran/tuneR,swh:1:snp:143fae34586ae449711c3c4f9265ff844d5125b8
23407,https://github.com/cran/mlica2,swh:1:snp:b81052899eae41e3a914ee2d653f5424404560a4
23414,https://github.com/cran/mRm,swh:1:snp:e6d5b2cdc18095d71356cdbe4b8de6ee3dd3bc5f
23421,https://github.com/cran/treatSens,swh:1:snp:efdbcfbb9f862870f2ec25896167bc644fbc725a
23422,https://github.com/cran/ASPBay,swh:1:snp:d15ac56bc81ffb3e64989d13af6c7e87975d0051
23423,https://github.com/cran/ImpactIV,swh:1:snp:a3f7414b474c2fc3a2207bcb0b2ac31dc8f674d1
23426,https://github.com/cran/MatchingFrontier,swh:1:snp:77f1d2f0e9c23be8ec3ea682b36b6ee578b3fdca
23427,https://github.com/cran/cin,swh:1:snp:157e838415d797b65600fe85f525983242dc73c9
23430,https://github.com/cran/CAM,swh:1:snp:9a7216eca443d9400219b64372af4463ba6b741b
23431,https://github.com/cran/SimpleTable,swh:1:snp:73f89f815c510dbb96d6a0b3ca5391143bb556ba
23435,https://github.com/mit-carbon/Flat-Combining,swh:1:snp:67baaf3af5e6c33329a6d8c15803492ffc5675f1
23437,https://github.com/meiersi/scyther-proof,swh:1:snp:f37bead42ac911ddc76459ba69af06d72b74c516
23440,https://github.com/nathancarter/jsfs,swh:1:snp:eb8664cb18cd210fa5352de74d22517866a7ec4d
23441,https://github.com/vgteam/sequenceTubeMap,swh:1:snp:bbab53720a9ec4263788cfc9c4862cf155815576
23445,https://github.com/cran/QoLR,swh:1:snp:828002e53241582d57681c4965221403a2325bea
23465,https://github.com/cran/ParallelForest,swh:1:snp:1450441355370aae3514dea6417a1de8a0e0fcf9
23466,https://github.com/aloysius-lim/bigrf,swh:1:snp:b4c353cfa845e0a4f41135af7f0f2930605690a3
23468,https://github.com/cran/Rborist,swh:1:snp:7abb7b8dfe4aad92472916dc9eb38fca26883b5c
23484,https://github.com/alexMyG/MOCDroid,swh:1:snp:bfceb1fa52e20396a0b967ad0d6ded28ed1e0afd
23490,https://github.com/maatouk/constrKriging,swh:1:snp:159f956286557cf521b2964f0ab990295d74522f
23493,https://github.com/cran/COMPoissonReg,swh:1:snp:3effdcb3d60974bf54715c18c7e9466d712081aa
23497,https://github.com/cran/dglars,swh:1:snp:3e924fdfb164a9708070642548b7cfbe7ea32a12
23498,https://github.com/BelindaHernandez/BART-BMA,swh:1:snp:67f5898aab8b128d3278c458d544e3ec8c9c7bae
23499,https://github.com/cran/dbarts,swh:1:snp:bf2df3a146900d28e1ba3f2cc61df24615f56462
23500,https://github.com/isidroc/conformal,swh:1:snp:a4013de10631268cc4077e479ab3a2dd55f978b6
23510,https://github.com/xxy39/HMM-DM,swh:1:snp:a67d7da9767d376ea2a14d43a291a4a8564b5194
23521,https://github.com/cran/diptest,swh:1:snp:81a24f890882649a447d9d695a87deb0018196e1
23525,https://github.com/bottlepy/bottle,swh:1:snp:b66ab6546aa8719733db449e088e0a8e97acd578
23530,https://github.com/cran/robustlmm,swh:1:snp:ace2daa612b3b4a3eab5b8f83de86014c3e1214d
23532,https://github.com/cran/Biodem,swh:1:snp:5f187736005c885301cc1bafc8c79544320e537a
23534,https://github.com/cran/HPbayes,swh:1:snp:dafe863b84c43fddca44fe96261652e1c8236cba
23536,https://github.com/cran/rworldmap,swh:1:snp:ea5b51565e9050bc0658c07ce31d7f62f24c4ab9
23538,https://github.com/cran/Giza,swh:1:snp:6f006f2d9bdea91283a6e749defe6276ee650755
23550,https://github.com/jlizier/jidt,swh:1:snp:8e7ec290c744476b24abd5cc5b0abd9189b9f5b8
23555,https://github.com/jlizier/jpid,swh:1:snp:7667b2bc32cdefc9414b91e517c246cd6c80b31d
23557,https://github.com/Lab41/PySEAL,swh:1:snp:85ff926712adc84f76cac7332990b3ec2779dc28
23559,https://github.com/Menelau/DESlib,swh:1:snp:b7b99c12f848b0c8149b48b4a1b0e7b56dca5d97
23560,https://github.com/GiulioRossetti/ndlib,swh:1:snp:06e86eea3a32bc8813fdf6c5d4bb63580882b86d
23565,https://github.com/cwhidden/spr_neighbors,swh:1:snp:ed169d803ffd727e2362ecf2375b0456ae9ec420
23576,https://github.com/equaeghe/pycohconstraints,swh:1:snp:47400242da902f17f67508809b1140cf93a9e9ac
23581,https://github.com/lrq3000/PyBox,swh:1:snp:306943cd9dfe2f0b396644e6eac95307dc870bc6
23594,https://github.com/Microsoft/BioModelAnalyzer,swh:1:snp:0430792903280c5d0256a42ebe55e356edea885e
23596,https://github.com/cran/multdyn,swh:1:snp:3089e3d84a389921e14f47b71cd367183fb98c3b
23597,https://github.com/cbm755/cp_matrices,swh:1:snp:fd08f7bd62907d75b44cad8aab424f5b655bdafd
23600,https://github.com/cran/R2GUESS,swh:1:snp:933832426cb99ea3f40104fc1d19a947161823b8
45192,https://github.com/dkaramit/SimpleSplines,swh:1:snp:fd3129427b902257e9b9d739324f040a108165cf
45189,https://github.com/dkaramit/MiMeS,swh:1:snp:4dd072b484fc454f054da855dfa78c525e4b7418
45176,https://github.com/humeniuka/polarization_integrals,swh:1:snp:a53b3714d44561e229d7518d5dde3b6a036661ee
45169,https://github.com/EUCLID-code/EUCLID-hyperelasticity-bayesian,swh:1:snp:a139a1653832302f8c5b8b0969aa0f2a0bb916d8
45167,https://github.com/NREL/WindSE/,swh:1:snp:ce64cabdac866eb99895c370914b81e1701ca5a5
45152,https://github.com/mickeysjm/HiExpan,swh:1:snp:37eba032ec12a51cb5d40b275000facd08c6d0d0
45145,https://github.com/UCL/scikit-surgery/,swh:1:snp:e4343436537fb85cf8555616a89fc5255e721807
45140,https://gitlab.dune-project.org/dune-fem/dune-acfem,swh:1:snp:21f375c754e3a579555a9cd22d190e9678401857
45137,https://github.com/braxtonosting/FlatToriLargeEig,swh:1:snp:14a01de7d011d2e54f8c6a6a8e0ccafbd4b2ecb5
45136,https://github.com/dimachine/NonEquivMACs,swh:1:snp:c40afda31ba3bd642682963f951a5f13ec96d50c
45124,https://github.com/sunlab-osu/TURL,swh:1:snp:31dc4380fb0f0cbe981394368e21914f25001438
45077,https://github.com/MarieRoald/condat_tv,swh:1:snp:b618c52931076c46eb8c5be1d0111655b71f9caf
45069,https://github.com/SeismoVLAB/SVL,swh:1:snp:417c2962b8647a9de05dd3585754f9ec21441bae
45068,https://github.com/phuongpho/reg-sgc,swh:1:snp:0b895761fe3a55dc383f8920dd42f0deab23b99b
45065,https://github.com/ElsevierSoftwareX/SOFTX-D-22-00253,swh:1:snp:b82c7b7a2ea08e7750fd014f16358d1f4abe7a52
45064,https://github.com/ALSETLab/ModelicaGridData/,swh:1:snp:56f3ef20145d3bc9eb81d987aaaccf931c678600
45050,https://github.com/JinshuaiBai/LSWR_loss_function_PINN/,swh:1:snp:83760c5c88345c2be14e8bc025e02ec708b06268
45042,https://github.com/viskillz/viskillz-blender,swh:1:snp:480a273f507a7a5ad5b47a4b179f0a58d887aa28
45028,https://github.com/ElsevierSoftwareX/SOFTX-D-22-00173,swh:1:snp:00c00a228415cd9471e19e0cb2cb5444625a0038
45027,https://github.com/zenodhaene/HyperspectralClassification,swh:1:snp:9d109941578c4bbaca8b2ff41a8674644da743b2
45025,https://github.com/pctBayArea/stplanpy,swh:1:snp:5fda3891702c8bba74ffce6f44af48bc79faa141
45024,https://github.com/yptsang/ck-FARM,swh:1:snp:6583f2d17809e89c126a272b56f73853e5c1380a
45021,https://github.com/fromano88/MaranStable,swh:1:snp:ccb9a276f0c7a578b18d8c9eb88f2420c17216a6
45019,https://github.com/TateXu/pytes,swh:1:snp:8c6ffa88e37e7e65379ea0d909c3b52c1f32bf19
45013,https://github.com/migmolper/NL-PartSol,swh:1:snp:f304f7f676514744d8d28a70bc68052913cd4c95
45012,https://github.com/cmayeul/FluoGAN,swh:1:snp:221122eac2a3ce3c35c1ae2f958bcf69a07a451c
45011,https://github.com/lueckem/quadrature-ML,swh:1:snp:c87456d9a852ea04245f277e324a5d5efe0fc927
45002,https://gitlab.com/mbarbry/pynao,swh:1:snp:ef0afc4546101969342a14fe83a4bfe5e073788b
45000,https://github.com/sousaw/BTE-Barna,swh:1:snp:95eddd01537b2e357355265cb165369378e439a6
44998,https://bitbucket.org/Julvez/fnyzer/src/master/,swh:1:snp:92bab760bf39fddf69ca6622165915a2e0dbe15e
44997,https://gitlab.com/totembionet/totembionet,swh:1:snp:2bee546fb4250a5b949f367b19673aaa6c3c03d5
44982,https://github.com/kent-and/mri2fem,swh:1:snp:b3e3819c39c32a10a893c2f41709b097ecc7bd8b
44978,https://github.com/vardahagh/rigidpy,swh:1:snp:6aa5070e0a24780a1863c68f0252b1cbc2fd8e23
44964,https://github.com/EngineeringSoftware/roosterize,swh:1:snp:0f389d9912c4ac9ae00640f42d0e4d0f4df83e65
44951,https://github.com/sim-trhepd-rheed/sim-trhepd-rheed,swh:1:snp:14028466e4cae5d16201aa3cd1f240fa00428386
44950,https://github.com/sxrdcalc/sxrdcalc,swh:1:snp:b8034833c0eacc340960c7d41990d1df294e1659
44947,https://gitlab.inria.fr/roberdam/fromlatticestomodularforms,swh:1:snp:226ec559230e1fdf6045024d495751f4367a7c1c
44940,https://gitlab.com/tensors/genten/,swh:1:snp:c4636541cc7a1a1f9eb0bd5e18bd2a1966c06e8f
44935,https://github.com/jgcalvo/vem2d,swh:1:snp:14e761a5294401aac845c317b5ba2ccbffaa1aae
44930,https://github.com/Terenceyuyue/varFEM,swh:1:snp:c18d324b6ea6a306a985028a91e1afd47e1ac0fd
44929,https://www.github.com/witkovsky/CharFunTool,swh:1:snp:ed60c91f369a37cf25326f4a48b12a7081050f4b
44922,https://github.com/yhtang/FunFact,swh:1:snp:a67b83c85761060e815b144c03f0adc4286f18b1
44916,https://github.com/grwgrvs/equiangular17/,swh:1:snp:8ecb7b7f4892c081db395d00483cca56185bb429
44912,https://github.com/btuznik/porousGasificationFoam,swh:1:snp:0a4da9ebf016c2a83be7156e7bba135b77e3efe1
44911,https://github.com/copmat/LBcuda,swh:1:snp:1c8b4d7aa425565f65bea3a6adf3c84406bf50b6
44901,https://github.com/tkotani/ecalj/,swh:1:snp:2cd164193d8c04a0deeac1bdc54e9c1fee1b3230
44415,https://github.com/jmd-dk/concept/,swh:1:snp:48c67eaa1a03c31348fe77adf8a04312bc9f1883
44410,https://bitbucket.org/tassev/colacode/src/hg/,swh:1:snp:89c2a47f4e61f673120dd89c2e8c6b8f2480975d
44408,https://bitbucket.org/dpotter/pkdgrav3/src/master/,swh:1:snp:865e17be8298b1e276634016ed578eed072c7f3e
44403,https://bitbucket.org/rangulo/baccoemu/src/master/,swh:1:snp:94a7b6aa17b5edfc3fe077f37748ab15450187d7
44395,https://github.com/TikhonJelvis/RL-book,swh:1:snp:b660d78b73e7aaaef83ac4310eb1e481adf9ff87
44393,https://gitlab.com/m4103/matchmaker-eft,swh:1:snp:3391bfb2f391d02fa7caca8eafa073f99c8a3644
44392,https://github.com/aethomsen/SMEFTflavor,swh:1:snp:d5e9d7a7211d9dab28a69fa8d12e9ae36112948c
44390,https://github.com/inrae/RCaNmodel/,swh:1:snp:ea548edd34218f8edb3b5a56dad359dd3fbdc904
44374,https://github.com/ChenyuzZZ73/rMultiNet,swh:1:snp:6db68fbb0b2e0e170ee4cef888bb9241476d3b8d
44371,https://github.com/neural-structured-additive-learning/mixdistreg,swh:1:snp:90f78baf7450901ee3f806abf610db9d7273ea1e
44327,https://github.com/DanielBrosch/SDPSymmetryReduction.jl,swh:1:snp:5019867ad7f82bd60a361bda29f4c7028a057571
44323,https://gitlab.com/leia-methods/argo,swh:1:snp:bff1809bac9c22b8a6feb06f00cd25463284ef1d
44320,https://github.com/vtopt/VTMOP,swh:1:snp:a352b2561a4840acf2ab1658c2458ef4af5ef783
44303,https://github.com/tosinabase/Kiefer-Weiss,swh:1:snp:edadd01eca8c82763567f58b618bff08c12fdef4
44295,https://github.com/jreeves3/PReLearn,swh:1:snp:934556b4072ebdaa139822cb67f636766b1792ba
44289,https://github.com/shadow2469/BiRSwinT,swh:1:snp:020911db41ff471468eee0d0784b52ecb9d2d874
44285,https://github.com/deepmind/alphatensor,swh:1:snp:fc5269dd9841172967e3c349c459cc00b8767ef6
44271,https://github.com/MiviaLab/vf3lib,swh:1:snp:578cb40c0a655d5c2faa36d7e301300444a8c25c
44250,https://github.com/SpM-lab/sparse-ir,swh:1:snp:2b6fcfd5d897c4d0b4a2ba86ae8ba21fb13bfe40
44247,https://github.com/statgen/locuszoom/,swh:1:snp:d6c8f2bafbd16f9b386f1ebdf54519a311dd208c
44245,https://github.com/kordk/shinyGAStool,swh:1:snp:49d6725a3bea82270ce7c514902037628a7631ca
44244,https://github.com/Junjun1guo/OpenSeesPyView,swh:1:snp:3c8c2f78d8c58fbdece896f7e140a6d43def3a8a
44238,https://github.com/annajenul/UBayFS,swh:1:snp:225c5b685ac0b27139a4769bf9c4040b0938ea61
44234,https://github.com/jkirkby3/pymle,swh:1:snp:1a64401f41a1de4bbc2d37d14820b43cc6406f2c
44231,https://github.com/jkirkby3/PROJ_Option_Pricing_Matlab,swh:1:snp:1afcde4ce89bd650c53e707eb06d8d2a443d6ff3
44228,https://github.com/LRydin/jumpdiff,swh:1:snp:12c635b4968c7ae7f3f4742e4892964ea95bfe47
44225,https://github.com/HelmholtzAI-Consultants-Munich/PySDDR,swh:1:snp:1678caec4226f9e6326d95a8e80dcb0b5f6a3a3b
44208,https://github.com/zaligvinder/zaligvinder,swh:1:snp:0e61fac82656dedcdf400d3a7f66b1db3ed000fe
44202,https://github.com/DatenVorsprung/GoTube,swh:1:snp:23368cc89f3d8456ea9cebe599b9e494c728fa40
44194,https://github.com/kpentland/GParareal,swh:1:snp:3f5a6cbd21cfdba60862a01c774680c65caaf631
44177,https://github.com/benoitseron/BosonSampling.jl,swh:1:snp:5b1255d6b4e56cb09f694eeb9f0ccd90cb33ba81
44169,https://github.com/meryemberradauwo/Rho,swh:1:snp:cee496ac4510c4bd1f4f25ab695d34669a13a63d
44156,https://github.com/abzemkoho/forecasting,swh:1:snp:ddad31cdec931b8e329a4c96cd5dc79700adce89
44148,https://github.com/institutefordiseasemodeling/covasim,swh:1:snp:d2b01b64c2cf870ff687f7f1171b58878a201631
44146,https://github.com/Jimmy-Lin/GeneralizedOptimalSparseDecisionTrees,swh:1:snp:5e206b44718e09d26f70d10addfcb95d9132820f
44134,https://github.com/ZhaoJJ0818/ILL-QGAN,swh:1:snp:be53fb984b5d6820f3470956013af41857f1810c
44133,https://github.com/Sha-Lab/babywalk,swh:1:snp:33f2ad6917f7f51d5f0efa0c38de0560eb87bc1b
44110,https://github.com/ghirensics/ghiro,swh:1:snp:bf1176e1a305c3c8287a56e0b324f59c0dc24171
44103,https://github.com/tharindudr/MUDES,swh:1:snp:860b586787f8754aedd69f5c4ace4ce725e92697
44100,https://github.com/lindalee-inlab/MCM,swh:1:snp:20daae0ea5329a0717b57cc581b0d47540a604d6
44097,https://gitlab.com/hjortur/wendland-function-generator/,swh:1:snp:ebfa6fa067fe23c454bfec9c4c79698fa0e60888
44094,https://github.com/NationalSecurityAgency/ghidra/,swh:1:snp:9972ed0a8058a1c854c4d711534fdd125b6a8260
44086,https://github.com/ElsevierSoftwareX/SOFTX-D-22-00144,swh:1:snp:52119788eb2c33d0bed01e1f2e0fd6daa2f8859c
44079,https://github.com/warrenjl/CWVSmix,swh:1:snp:d969152d0b27757bef0eb0d1d9032e062c0cc36f
44075,https://github.com/kessysalvatory/CoMoMo,swh:1:snp:ed46de246b171bbbb3366989a9710f99c3b1d8d2
44070,https://github.com/fanne-stat/radviz3d/,swh:1:snp:a8996639a10cec07cc68f6617afa690b0fb4f644
44066,https://github.com/ruoqiyu/RBestMatch,swh:1:snp:b437679bd9834310a80655b852fba60d36d4588a
44063,https://github.com/alisaab/l0bnb,swh:1:snp:3855f8ba07c361f5eef3af2d38ce4e74e68c8f8b
44048,https://github.com/xharlie/DISN,swh:1:snp:b5d47ca43c8e0add6615c3a551f42d655cf7276a
44046,https://github.com/leoxiaobin/CvT,swh:1:snp:6c100a3ba2107d084e69ca15174b24b1ff92edd5
44045,https://github.com/nex-mpi/nex-code,swh:1:snp:eae9df12f033f519565aa058ff160b52dfcc7929
44043,https://github.com/weders/NeuralFusion,swh:1:snp:323560577cd43c6749a081ab4da8514484942164
44040,https://github.com/googleinterns/IBRNet,swh:1:snp:06f61cbde0444d3b0618d72ea1252d98a6ea4fa1
44022,https://github.com/google-research/opticalflow-autoflow,swh:1:snp:4383045094c240c2c94ad3f08b28610309d76091
27389,https://github.com/cran/diveMove,swh:1:snp:ba774bd5aa7b217aaabe90947c958a771f0d84bb
27390,https://github.com/SESman/rbl,swh:1:snp:6c39a7f2e63564c75860aa6a7887b2b49ffb73fb
27393,https://github.com/cran/pawacc,swh:1:snp:a80661c4498ec171c883ec49d2ba7cd8366d57e0
27415,https://github.com/KWARC/sTeX,swh:1:snp:822eb4190609ee6df2a6d002f07660c100486c03
27418,https://github.com/UniFormal/TGView,swh:1:snp:833a319d2d9825263df1399955f956e8e89adaff
27420,https://github.com/python-pillow/Pillow,swh:1:snp:b6a112cefa328dd5e9ddba61566e7e649313d346
27421,https://github.com/thonny/thonny,swh:1:snp:f6cec0bead737d64e98d3af2448ce38455466280
27425,https://github.com/adaerr/pendent-drop,swh:1:snp:ab1c0b37719db0bd7f4b898a64ac7507d44f456e
27427,https://github.com/Data-to-Insight-Center/komadu,swh:1:snp:e3050ff36f1e272644f8d8f79dd7d9cf70b14bcb
27428,https://github.com/lucmoreau/ProvToolbox,swh:1:snp:b98587f138cc7cde0ebf29a3d9b152cd787ae4bf
27431,https://github.com/Activiti/Activiti,swh:1:snp:c139b4e7a6cfe64e830701bace79a617344104ef
27433,https://github.com/cran/naniar,swh:1:snp:96aa80775b8bc9506af6ccfb2c2df079330192f8
27438,https://github.com/cran/ForImp,swh:1:snp:ccc2805e3b9bb7c5451a9e3ee64ea755251d78bd
27444,https://github.com/yzhang672/pairGraphText,swh:1:snp:edb6b7aee57187d9f2b4befb3f71398e0dfee7b5
27463,https://github.com/cran/rrcovHD,swh:1:snp:954136000ec1baad9dc3f90f68d43b3f580ac84a
27467,https://github.com/Csabix/Interactive-SDF-Renderer,swh:1:snp:88c8c33b42946f717ba5b3773b725dbd7ae2bdc5
27471,https://github.com/dkoboldt/varscan,swh:1:snp:df9ed451a6fe14b3c77651a514ac6bc2c31b1f6c
27481,https://github.com/gdellapenna/UPMurphi,swh:1:snp:e9049144ab91534fef29eadd3e5b5c48ca738ed7
27482,https://github.com/uwplse/oeuf,swh:1:snp:668d44b3e7fa4faf88aee9bafd3b37b7a2d2a940
27485,https://github.com/potassco/asprilo,swh:1:snp:e403616a6b1dd99f97c5a72358af123a4c039e48
27486,https://github.com/ari9dam/ILPME,swh:1:snp:d96ccf94adc204a19fd6b28cbafd8d5bd4e4cd9f
27505,https://github.com/Mondego/Sourcerer,swh:1:snp:a3d1db689692a9092b3ac9df09a58ee2f3c3b44b
27515,https://github.com/data61/python-paillier,swh:1:snp:93463eef6fdf7361851deca5a4665746e745ae57
27534,https://github.com/GOMC-WSU/GOMC,swh:1:snp:7240a77ed98c9184c64028192c4713f7d320ab4b
27547,https://github.com/ahaselsteiner/compute-hdc,swh:1:snp:f90690daa98fd73bac25dbff16936d75ba6e72b0
27552,https://github.com/nebneuron/neural-ideal,swh:1:snp:613a49e405a659eea5386c4630b217a240d943af
27555,https://github.com/JoseMath/MaximumLikelihoodObstructionFunction,swh:1:snp:806919f3efe78449ad1090af7327444570f8a58c
27558,https://github.com/kostyfisik/FEA-compare,swh:1:snp:f860608bf48aa5d79bb982bbe200572514966c6b
27559,https://github.com/JuliaDiffEq/DiffEqFlux.jl,swh:1:snp:5991cfd807cc14c0970b8c9f1307699dfb5775ca
27562,https://github.com/OriginQ/QPanda,swh:1:snp:f53e39658dd9c4f3e95aa7ed3c843199f91caca3
27575,https://github.com/alexgkendall/caffe-segnet,swh:1:snp:cf046dfe46d2a06bff7e99cc14698691ec50c613
27606,https://github.com/QuantumWalks/QSWalk.jl,swh:1:snp:92701837640c54c2a2f13ec7e1ee5afcdc116019
27607,https://github.com/JuliaGraphs/LightGraphs.jl,swh:1:snp:8b6fea5b14f43d24b13677b29d9bd8df458427e8
27612,https://github.com/javolution/jscience,swh:1:snp:664f8fdbd122d21400941384b1fe60807e5b51fe
27614,https://github.com/enthought/pyql,swh:1:snp:b57a602f53c55a75eea1521e5ef0de7958273a47
27623,https://github.com/odoluca/G4Catchall,swh:1:snp:f4fbb56900da746818180d7089fdec52b5ec73f4
27624,https://github.com/AnimaTardeb/G4Hunter,swh:1:snp:869df4061e366375b40f4c47d1babffc1c988da6
27628,https://github.com/auDeep/auDeep,swh:1:snp:acca342f15f34bdb2cb5ef11c5bf36f512fa5e1f
27633,https://github.com/ucsd-progsys/liquidhaskell,swh:1:snp:c11a3ba9d0cdfb3953e7cb0b661badadb2caa89d
27655,https://github.com/HewlettPackard/mcpat,swh:1:snp:5b2d78a76f72fa63b1efd308256fe79fcd5a0529
27676,https://github.com/wenjiegroup/BiRen,swh:1:snp:284c9d87909e9426fe883682a4722be5ba041e67
27689,https://github.com/cran/Qtools,swh:1:snp:2b4385e407b9d0d4408c27c06fc2950503b6174e
27690,https://github.com/loicdtx/bfastSpatial,swh:1:snp:90913308fd8fc75850282243bcee2870d6ff9dd5
27693,https://github.com/seantuck12/MODISTools,swh:1:snp:d00d554605f0a0f0772a0ccac1b20495e7abd123
27696,https://github.com/cran/AGSDest,swh:1:snp:ef4cc4c8559085a81c58f80b9488ab60b8cce3b1
27702,https://github.com/msitter/EcoMem,swh:1:snp:283e275241c051e2cd932be9de255bab86692e03
27737,https://github.com/bjmnbraun/ddtrace,swh:1:snp:abbe4fffb14e4721e361a106a58d5d2905a7f882
27750,https://github.com/cran/catdata,swh:1:snp:006304118a34a75b19dda6d5785e8fd20b1567a6
27753,https://github.com/cran/WiSEBoot,swh:1:snp:6087f5e693c00be1e64e87af17893cac535ad365
27755,https://github.com/lballabio/QuantLib,swh:1:snp:abfec3391b5effdcd0db6bb0e32cce5e498ec2cf
27757,https://github.com/nep-pack/NonlinearEigenproblems.jl,swh:1:snp:b217a16d9a0c8a0e4e64859f0ba1213b290ab39f
27759,https://github.com/pmgbergen/porepy,swh:1:snp:3d637e40a0b7f8090d02608d45a629d65e377e13
27763,https://github.com/cran/keyplayer,swh:1:snp:dc716c8bbe347922b68c049313a1f6ddc2253db3
27764,https://github.com/aauc-mechlab/JOpenShowVar,swh:1:snp:04dcff8230f82b8857ce4669b9639d4891572bea
27766,https://github.com/vsoftco/qpp,swh:1:snp:f150f74b1c4c1f77a18f086cb9727b34f9b35e77
27768,https://github.com/SoftwareQuTech/SimulaQron,swh:1:snp:5bc73eae1fefe2ca4c4d241ad5ff38c4cd339cb6
27769,https://github.com/quantumlib/OpenFermion,swh:1:snp:09ea59460b0b179cb4472d76695d153f9284ba40
27770,https://github.com/rivetTDA/rivet,swh:1:snp:f03962178d39d8b267d02dcca68eb043a95f996b
27771,https://github.com/Ripser/ripser,swh:1:snp:3a22a6c7086cfcfb63c134d68c0a1d16592cd8e9
27779,https://github.com/matsim-org/matsim-example-project,swh:1:snp:c829d3619f5de2903a8333a723d578f4628ed36b
27781,https://github.com/cran/stats19,swh:1:snp:7e4c4cd5aae21e3484f054a3b5fdb68e041c80e2
27788,https://github.com/cran/ltsbase,swh:1:snp:687dd5de5ca878ef85abbe63305ec4abe7235de4
27790,https://github.com/cran/CoxRidge,swh:1:snp:74d8b04d34929e937d7c29184a0d36e14a1a3798
27794,https://github.com/cran/spup,swh:1:snp:3a160423a749287a1c07e22c40174bccd25806be
27798,https://github.com/ISRICWorldSoil/SoilGrids250m,swh:1:snp:f641c28dbf07c6c04c288e1dad2cc3f19fcd4601
27801,https://github.com/cran/errors,swh:1:snp:4a5d97678dfd63f4834c99598f52dad1ebb14f09
27813,https://github.com/achambaz/tsml.cara.rct,swh:1:snp:ab8587af760a6e2f8346c7bdbaa1b2c30cdd9f87
27814,https://github.com/cran/tmle.npvi,swh:1:snp:f9e77639d3728342be348ba3751f1c7869255904
27817,https://github.com/cran/Xplortext,swh:1:snp:404be56ced9194fc45274e89e3d40f447c6a6957
27824,https://github.com/GaloisInc/HaNS,swh:1:snp:6ce4f941649c3200198424b62af1c3ce25c4031d
27829,https://github.com/rforge/rqpd,swh:1:snp:b3546eb368566ea974eadc8d53e784ae4de592dc
27830,https://github.com/lydiatliu/epca,swh:1:snp:e41df863a4fb52e29e616aaa41ccf455284501af
27831,https://github.com/FXIhub/condor,swh:1:snp:9a602ac7c89c10c6bab344efaa044429e9f251c2
27841,https://github.com/kovvalsky/LangPro,swh:1:snp:395941827369f1dacf92f60ae97c2e9b7d3ed850
27844,https://github.com/cran/sppmix,swh:1:snp:944709b219c9780287fdfc7f3c7046abc5320be3
27855,https://github.com/rballester/tthresh,swh:1:snp:633d4eae2a8fcdb66bdc9a8affd546b05e28c91b
27871,https://github.com/cran/grf,swh:1:snp:9ef298db898da346a2dac3c3d5f318fc961e90fd
27873,https://github.com/mnfienen-usgs/bgaPEST,swh:1:snp:a82dc12e7dc7cd0b63a6e33555754e7540768ee9
27881,https://github.com/atztogo/phono3py,swh:1:snp:417bf55ee69e2de8cb519d0be9adb35bc5cdca9f
28149,https://github.com/zoisboukouvalas/pyiva,swh:1:snp:b9a400301cd09b0ddd055265b3f9f7911965eced
28151,https://github.com/delton137/mmltoolkit,swh:1:snp:37231de8c09570a8ebeacc03dd40baa10d484919
28155,https://github.com/imatge-upc/saliency-salgan-2017,swh:1:snp:ef66438c0818784a4b738cdf9323c4f4a0462851
28161,https://github.com/a-griffiths/AutoSpec,swh:1:snp:47f854095020d071f14a1b3a0319bc6f3f95a875
28164,https://github.com/pyspeckit/pyspeckit,swh:1:snp:1754eb438cae59170d9db36e5e023fbb7b36308b
28166,https://github.com/canalcache/canal,swh:1:snp:6f9988668be65075940f9de47c72b467aceed9e1
28169,https://github.com/zhanxw/anno,swh:1:snp:27625e394367bb40ef96a79bda3d366e3aebe84d
28172,https://github.com/serperu/secer,swh:1:snp:b4a1337b89d9dc5029010aa9f2a363120b702799
28174,https://github.com/massemanet/redbug,swh:1:snp:988371c4a745316e91c77a58184f280841c73145
28177,https://github.com/aggelgian/cuter,swh:1:snp:9212fac26e756bd4a16f5c9c37edd6bc8f8cb3d8
28178,https://github.com/proper-testing/proper,swh:1:snp:3c05cbf6b219106cb2eecc75f9403ebb8138cdd2
28180,https://github.com/vandanparmar/MoNeRe,swh:1:snp:c715a79ba3b7aaadc1ff8d61a9f1a4e092aacf46
28182,https://github.com/SABCEMM/SABCEMM,swh:1:snp:25e55c9ff06717b78a038130337f75b4affccc6b
28183,https://github.com/pseppecher/jamel,swh:1:snp:b3d370baa27d45c3da40c2de7fd73d3edd855a54
28187,https://github.com/autosquid/softposit-cpp,swh:1:snp:78d776d118ba10f742c7c4621e30e2c5eecb0e84
28188,https://github.com/cran/fastLink,swh:1:snp:c219ca8ad3fe989d73f48dd6f43f7bc1874fba45
28192,https://github.com/magronv/multivsos,swh:1:snp:25f058522667b626b073fa7096216e825ab4aa5f
28193,https://github.com/magronv/univsos,swh:1:snp:3949c355ce8b269d8f6b75499af719d5ce0a2e17
28194,https://github.com/vmagron/ParetoImageSDP,swh:1:snp:3084840da9b3abaecca23b99223c2abbd9092aa0
28197,https://github.com/cran/GameTheory,swh:1:snp:05c02a295223e93cd28f16576790b23747de254d
40585,https://github.com/lballabio/QuantLib,swh:1:snp:abfec3391b5effdcd0db6bb0e32cce5e498ec2cf
28779,https://github.com/jeffdaily/parasail,swh:1:snp:b2fd1e792e945a0128bb39f775dc038242a0c350
28780,https://github.com/lh3/minimap2,swh:1:snp:6b7b005d183b42d46f9a9486db5ed4159734010f
28782,https://github.com/Magdoll/Cogent,swh:1:snp:e6d88fa1cbf1ee505e9e4242e095c752abaf8c02
28783,https://github.com/COMBINE-lab/grouper,swh:1:snp:da54021cbd282397f28bc1371b1691224e9398e1
28785,https://github.com/marbl/Mash,swh:1:snp:6fa580c21fe33a2a3977c8944608fe7fcdbc0093
28786,https://github.com/iskana/SlideSort,swh:1:snp:451acd14ff36b7f362667b8ac45e7c9447c33efe
28787,https://github.com/ChongLab/rainbow,swh:1:snp:61f37676305d79cba9c6e5b27c57b7d665cfb41d
28806,https://github.com/nismod/smif,swh:1:snp:a3083cd45c1e053437936fef3d7d36b66242c2d5
28807,https://github.com/csdms/pymt,swh:1:snp:a6b69a3e94e272696df79cda21a4dd0eee3e0080
28808,https://github.com/cylc/cylc-flow,swh:1:snp:cd163638b6ee382a1d0b0299d885ccaee98633e5
28810,https://github.com/nismod/ukpopulation,swh:1:snp:fda3f7d2aa26b4241ac751180c3234c765c81275
28811,https://github.com/MTgeophysics/mtpy,swh:1:snp:7012e7201aa7c0a64e7a3f92f45d7d161d08ebc6
28813,https://github.com/pyvista/pyvista,swh:1:snp:3574e19a19e7c486053a5af2d5da42111e9542f4
28814,https://github.com/yt-project/yt,swh:1:snp:0e722c49db3085516410eb511ea58fb52971adeb
28815,https://github.com/cran/rIP,swh:1:snp:b60accf24447b86e8a6626cbb26fea81f8a1e8cf
28816,https://github.com/specs-feup/nonio,swh:1:snp:7504a7ebfc0cfd5db8709ebcada1c64068029722
28818,https://github.com/amirjamez/COBAYN,swh:1:snp:a8261e8e000b12016e49e1102a503bc53ea93211
28819,https://github.com/Acovea/libacovea,swh:1:snp:c2984f7f421a196e58a9a1e1ce470740921d57b1
28825,https://github.com/joblib/joblib,swh:1:snp:067ea313368571b13f23dffd162528c38c81aa80
28847,https://github.com/links-lang/links,swh:1:snp:3f99b9cf1af0acf740a71a5a1c443214dd9a74e1
28848,https://github.com/dart-lang/angular,swh:1:snp:d3453b59a9e3add7264f595ba488d4a62746212f
28850,https://github.com/abatten/fruitbat,swh:1:snp:faa1974185ef097540bc6ead226e64ff6514da75
28860,https://github.com/DaehwanKimLab/hisat,swh:1:snp:6ed61715b7459c245eb69f4bac7d3f20f4c1e92c
28867,https://github.com/bcbio/bcbio-nextgen,swh:1:snp:25b9623f96ad232630977fc581a98a3d17e4ffdb
28871,https://github.com/hbc/bcbioRNASeq,swh:1:snp:42e0ba920a98e4c3226fdb8c5d067235151775da
28874,https://github.com/inuyasha2012/pypsy,swh:1:snp:7f35d8ba092aebb98f74622a0d3cfff6e846d16f
28886,https://github.com/pybind/pybind11,swh:1:snp:f282c05b5ea83a34128d3b5dde4a59575e55b20f
28887,https://github.com/catchorg/Catch2,swh:1:snp:01d507ea76596357fcb497dd1cf1fdb1822c013a
28889,https://github.com/martinmoene/PhysUnits-CT-Cpp11,swh:1:snp:925678ad5bf3c2b03c3b988afb1ee2526d7a241d
28901,https://github.com/HazyResearch/tuffy,swh:1:snp:fc35694ff2965d2d02c61cdbc269721125dfedbc
28919,https://github.com/PMEAL/porespy,swh:1:snp:fdda47639859a821cf158e35d32a7803becd56c7
28920,https://github.com/neurodsp-tools/neurodsp,swh:1:snp:04fbb446bbd4fb3698e77ebd1737c82a88f1bb09
28922,https://github.com/a-slide/pycoQC,swh:1:snp:674d1358dbba5847bc1af4aece959ab5d1492fe4
28923,https://github.com/wdecoster/nanopack,swh:1:snp:c67ff9699e33adf5ed826714e890f3691c265173
28924,https://github.com/GenomicParisCentre/toulligQC,swh:1:snp:a6cb186b529f61d3105f22d457636e4391a80021
28925,https://github.com/roblanf/minion_qc,swh:1:snp:81eb84598d4d2e5c35e9292aa5425b0ab817871c
28926,https://github.com/Chilipp/straditize,swh:1:snp:aec0c36a8cb0275230249296f5944f6117b07d27
28929,https://github.com/PingjunChen/tissueloc,swh:1:snp:54f983cdca80ba98648a8af5afef33deb83ab3fc
28931,https://github.com/psychrometrics/psychrolib,swh:1:snp:ee7b9f6936c3c83f7e4f4f69a7eeeaa07bd2f36d
28932,https://github.com/AnyBody-Research-Group/AnyPyTools,swh:1:snp:96fa1f6658aa6aa19c6d7e5ddbd3dbc8a04843ff
28935,https://github.com/KVSlab/morphMan,swh:1:snp:82c4c7544429a8ab8b496a27bd90f8f208228a4f
28938,https://github.com/ejhigson/dyPolyChord,swh:1:snp:ab4edfe3af90474797c0269240e2530b05f55a23
28940,https://github.com/cran/survxai,swh:1:snp:13201853cd39863b728aba0b9bcfa9985330ab27
28941,https://github.com/oxinabox/DataDepsGenerators.jl,swh:1:snp:dd18775fb1594456b02702a26ad1346a394efea3
28943,https://github.com/HPAC/matchpy,swh:1:snp:84408b21cd12e7f06ef0c1101d3163b28d5c0554
28945,https://github.com/ryneches/SuchTree,swh:1:snp:35b0a17d2f6b60f0aa7bfc9973d622e3abae8b53
28946,https://github.com/cran/rsimsum,swh:1:snp:9279c8e32f385946b15afe972b15235145baf3a7
28947,https://github.com/edoddridge/aronnax,swh:1:snp:fcfaf5b1c7a66ede68e6b2350056107bfd2fa491
28948,https://github.com/mirzaevinom/egtplot,swh:1:snp:e4bf95837409563bed3a398db00c9c8652311da6
28950,https://github.com/barbagroup/PetIBM,swh:1:snp:7eaee38ac7564bf5a13d836aeb1365b0b85f5d8b
28951,https://github.com/casics/nostril,swh:1:snp:0ea6f1cbe3fab87fdf625e35b375c2e21a12dda3
28952,https://github.com/iferres/phylen,swh:1:snp:f71ec1e4fc85ec2d75049672b732542caf863a83
28953,https://github.com/sebastiz/EndoMineR,swh:1:snp:bf1d4988e224ee8483f95813507e0ce81d26258d
28954,https://github.com/Chilipp/psyplot,swh:1:snp:b8091e5674368e4dc4491435b449dc92f26a231b
28956,https://github.com/wright-group/WrightSim,swh:1:snp:3dc13c99061d43e7fd475e8bec5edc64584240b2
28957,https://github.com/wright-group/PyCMDS,swh:1:snp:44d0c649a2656fdbf67a9edd1aeae89bcb4175ae
28959,https://github.com/AntonelliLab/supersmartR,swh:1:snp:4fa33dc96a9a4f5d084700db788f927c9e906ffd
28960,https://github.com/ropensci/phylotaR,swh:1:snp:69dfc70de4325f3aeed1cf0883f72230bd476c37
28964,https://github.com/ejhigson/nestcheck,swh:1:snp:0d75bde45b1e065418b02a8f6630aa1be4426e40
28965,https://github.com/ejhigson/perfectns,swh:1:snp:fb249be12af5e7af879005154a42c86f15ed3cf6
28967,https://github.com/cran/ceterisParibus,swh:1:snp:563edd675da6d93ecded05dd1793d4ae9c9b263f
28968,https://github.com/oxinabox/DataDeps.jl,swh:1:snp:0e9130882c56d04cd89644a45fa261dd90221dff
28973,https://github.com/JuliaPackaging/BinDeps.jl,swh:1:snp:0b8ddec6bd74c776b61175199a773027ca7bc714
28974,https://github.com/JuliaML/MLDatasets.jl,swh:1:snp:c636b69fa34355695bf590825b243ea0406135f0
28975,https://github.com/quiltdata/quilt,swh:1:snp:9d01179196412a70a312d72e8bbfc6aa82dd37fe
28976,https://github.com/beniz/libcmaes,swh:1:snp:9aaec606668194b16944bec35b884f9d1f6060bb
28977,https://github.com/AlexSafatli/Pylogeny,swh:1:snp:9e4d1ee8389de2ebf584cac5d437614bfd85d20a
28982,https://github.com/GFDANU/q-gcm,swh:1:snp:d21f026ff36a515df08817527a5d2866e6b00bed
28983,https://github.com/pyqg/pyqg,swh:1:snp:bf7e7c0499fa7c60bef62c26bd610ad859a120cc
28984,https://github.com/joernc/QGModel,swh:1:snp:97aee0c3a20b3b50201b054db2bb6a8a3c672e81
28986,https://github.com/cran/warbleR,swh:1:snp:93c1787e10a1ed4820429b97e57f42c6fd04738c
28988,https://github.com/DenaJGibbon/gibbonR-package,swh:1:snp:971aa8c6f58f133d67aacc77e049463ed32614a9
28990,https://github.com/asgr/ProFound,swh:1:snp:2345a313913d88c04db187db7d402bb66476029c
28991,https://github.com/ICRAR/ProFit,swh:1:snp:1e5c5b9f67a53cd5699d8c0d985404e589164f1f
28993,https://github.com/xia-lab/MetaboAnalystR,swh:1:snp:8a0a6c0da8b375dbd7b5445faa65e87ee3f05288
28994,https://github.com/kwanjeeraw/metabox,swh:1:snp:663e7997e83a5a4d53c51d08db7191681397ac8d
28999,https://github.com/AngusWright/LAMBDAR,swh:1:snp:5a1f102aef009861e2bb0cc4da614b6343d87deb
29005,https://github.com/perwin/imfit,swh:1:snp:4d8eb15db02454cc23ba8c152cf90a92b9d5b02b
29007,https://github.com/OpenGeoVis/PVGeo,swh:1:snp:301c5bb276e28db101c8ce8488a875557084ddc4
29012,https://github.com/CxxTest/cxxtest,swh:1:snp:25740c4bff278e45fb921105724c952cfdabdd51
29017,https://github.com/JuliaText/WordNet.jl,swh:1:snp:deb1e8fc5217fdd63186d6f5943689364ad1d08f
29022,https://github.com/iljah/hdintegrator,swh:1:snp:528b8a6e57540d2a1eeef6f60bf898f1a7975813
29027,https://github.com/cran/rucrdtw,swh:1:snp:e57d5ee352d238e08ee704cb4ab0be2291a86140
29028,https://github.com/SebastianBocquet/pygtc,swh:1:snp:fef0bb56492c209ae6d7d0d3852c4c4fcb2f6712
29030,https://github.com/cran/TSMining,swh:1:snp:ea4788e82ea4deb1e41760d5d3f33c7ea42bae09
29031,https://github.com/cran/drake,swh:1:snp:d5f3ce9c3af23d6615fa3d012907adf034fa9aab
29032,https://github.com/richfitz/remake,swh:1:snp:e936f21b33f76af265fff668876b7fa37dfb8137
29033,https://github.com/NiaOrg/NiaPy,swh:1:snp:3d4d735a67f1693a7103843b2d3e477207691a63
29034,https://github.com/aarongarrett/inspyred,swh:1:snp:7a10cb4948f515066004188929dbd90db393b7f5
29035,https://github.com/7ossam81/EvoloPy,swh:1:snp:40fd1f6e117374fcb8c71e9f9940a69ca5d415ea
29036,https://github.com/ljvmiranda921/pyswarms,swh:1:snp:c41068efc5ba268aa2df4de320fa86029ffe8432
29037,https://github.com/cran/ungroup,swh:1:snp:683d40e3b930715a2184f74be6e106f8fa811aa7
29038,https://github.com/cran/MortalityLaws,swh:1:snp:b6c4cd502152bad3562257cd4cb00b3984e7b60e
29041,https://github.com/JuliaIntervals/TaylorModels.jl,swh:1:snp:5c0753e4abc4c81cf8d2ce2db7953ae1074d5c33
29042,https://github.com/PerezHz/TaylorIntegration.jl,swh:1:snp:7ef7b55301b9cbcefba8600aab34a31a2da8f928
29043,https://github.com/JuliaIntervals/IntervalArithmetic.jl,swh:1:snp:14470eafae663dac4dc9b80f5e7c0ea19d43c029
29044,https://github.com/JuliaArbTypes/ArbFloats.jl,swh:1:snp:15efb64df55fa4155e36070d143b7650d1bfdd43
29049,https://github.com/cran/fdANOVA,swh:1:snp:da1856074df98f5b4f2f28e38fe09df42d8b307f
29050,https://github.com/viennamaterials/viennamaterials-dev,swh:1:snp:52a53c9571659bec3147d1c38737a2106762d89b
29052,https://github.com/zeux/pugixml,swh:1:snp:b560db0b84b4ec0259ef4c8dfdbd3ed222c4ffc0
21315,https://github.com/cran/onlinePCA,swh:1:snp:9f1f2fbaaba78aa12d704af028eea0e7a02be02a
21327,https://github.com/maths/PRESS,swh:1:snp:688b5df71da207e69a73f14504151265a4b2a69e
21328,https://github.com/theoremprover-museum/scunac,swh:1:snp:5ff3ca3e1246e08bcdbebe3cc26dbf51f4c12401
21329,https://github.com/theoremprover-museum/ProCom,swh:1:snp:e30e90cd12873395655151b5265fa1ca0473c391
21331,https://github.com/theoremprover-museum/logic-theorist,swh:1:snp:117181a070549e0983ffea12f710453e6f31aa3c
21337,https://github.com/tmbdev/pyopenfst,swh:1:snp:155617adab96ca3e98ca70c6e1067b0d8c78b907
21382,https://github.com/bhargavvader/pycobra,swh:1:snp:1fde377c2f64b320d308c59e8aa1a1da9a63302d
21383,https://github.com/bryanwweber/UConnRCMPy,swh:1:snp:4dc2e3db97ef0d1fd1ad351dc001d065354f9bde
21388,https://github.com/PonyGE/PonyGE2,swh:1:snp:ef053b50451db41dc1551c01ea9db89f504de318
21398,https://github.com/olivierverdier/SpecTraVVave,swh:1:snp:4b00ab42f9e20360ce3a9234d7ae557626d32ab4
21421,https://github.com/pou036/redback,swh:1:snp:d82d20fddb8f054665a2c817cd86360acd463193
21426,https://github.com/newaetech/chipwhisperer,swh:1:snp:96a955c2d5a6bb467abd402d8d5a9b3277589a1d
21464,https://github.com/SensorsINI/jaer,swh:1:snp:580c83ec3bbba54fd642281c2478ed909e322e96
21470,https://github.com/psanse/bitscan,swh:1:snp:7f0f5ec6c9ca5a61582c8acebfdc2f090eb50ff4
21474,https://github.com/DanPuzzuoli/ancilla_dimension,swh:1:snp:48b2c4f2d4c0ef81755d8f564ef486e46555987f
21504,https://github.com/cran/tsc,swh:1:snp:96e44aecbb3173a6ef2ea8176e477ad5f27f4318
21508,https://github.com/gjcarneiro/pybindgen,swh:1:snp:166c0ec358375db813a22faad18caf3d8f4b1f67
21515,https://github.com/cran/sgmcmc,swh:1:snp:4421c9ccf31d29dcd0b4ea78d212978013fbfe75
21516,https://github.com/cran/tensorflow,swh:1:snp:f6c1d7c466c899ec9292cdf91612e6588f27c696
21517,https://github.com/blei-lab/edward,swh:1:snp:1a84a00c59854f684eaa99e0f3634fafe0aac408
21518,https://github.com/GPflow/GPflow,swh:1:snp:dec9850a5dde40fc6976c1f9669f14117f9dc7ac
21523,https://github.com/EdwardRaff/JSAT,swh:1:snp:ef1d406d6cda1279a5f8725cbb2766f3219fd7fd
21531,https://github.com/dlgeorge/D-Claw,swh:1:snp:5e4c8b1aa33cbe6318dee61de5aed1afe6db7003
21533,https://github.com/VcDevel/Vc,swh:1:snp:d6f2d345151b6f1c3369f811e3120aa4823d5134
21535,https://github.com/scikit-learn-contrib/imbalanced-learn,swh:1:snp:63e37927d2da3b9cc4d0aa28b5eab49a72908e2d
21537,https://github.com/JuliaPOMDP/POMDPs.jl,swh:1:snp:2b725ea7b8929b388bfee7e99cda59c3d5472a14
21540,https://github.com/Svalorzen/AI-Toolbox,swh:1:snp:d820a2147b7a9f861d1612241d57944b01bd0909
21542,https://github.com/trey0/zmdp,swh:1:snp:cf9b332e0fc821928785656ac371a68b91c1622e
21546,https://github.com/JUrban/ott2miz,swh:1:snp:fdb379de35519aed38c1266fc63fef5301ce5d47
21548,https://github.com/ebachelet/pyLIMA,swh:1:snp:648ec5119b3316f49a1201357edc81118fd2e4a6
21549,https://github.com/lthurner/pandapower,swh:1:snp:c147a7a8b4b6218dff254e529c583a5a6d0b1770
21551,https://github.com/SanPen/GridCal,swh:1:snp:77c074520dc1dd71dbac442945aa7291812bb371
21552,https://github.com/FRESNA/PyPSA,swh:1:snp:0bce453d2764afa789965b6b0d742559e6565f1b
21553,https://github.com/power-system-simulation-toolbox/psst,swh:1:snp:778acad2ee790f2bb2a1fda1729508ce73f3b9d5
21564,https://github.com/RoaringBitmap/CRoaring,swh:1:snp:ff90ed0975682e62cec8eae10da87cb34515d9da
21568,https://github.com/dhruvbird/GTgraph,swh:1:snp:e49560f6d5de3671bf7d3462351987e4a38ff9de
21572,https://github.com/kendroe/CoqPIE,swh:1:snp:544b82be3a2486e40716ec3634e383c0fc9dd1f7
21573,https://github.com/Ptival/PeaCoq,swh:1:snp:579139df0cd17007635b9a0c6cf43b41dec3a5e6
21594,https://github.com/cran/crqa,swh:1:snp:dbefedbe6d79a950cbe62ca70e7d23d78b838dda
21596,https://github.com/nhartland/APFELgrid,swh:1:snp:c3c6dd4498af8b93b5840892fccda8b4be4358e0
21602,https://github.com/cran/ibd,swh:1:snp:77e45ff4cc7f9a9ee4bde05b8d25f9e56101db42
21621,https://github.com/openXBOW/openXBOW,swh:1:snp:6ac6a6a8715835ebaf96e71f092bef531c03e6c4
21648,https://github.com/thumt/THUMT,swh:1:snp:2e7fdf0355e345a76510ce4031d4737af39ab4ff
21945,https://github.com/cran/data.table,swh:1:snp:4726c28eb2472c763e51fde7427bc40edd717a6a
22008,https://github.com/MarkCBell/twister,swh:1:snp:8acf0a6fbfbcea28afeabc195490f3e40dff13e6
22012,https://github.com/horsepurve/DeepRT,swh:1:snp:4311dae1bc4f56df81f221d180a614052c534594
22019,https://github.com/ialbert/booleannet,swh:1:snp:0429dc479c3037514d0ae4d92fbb870c746b483c
22020,https://github.com/cran/CVXR,swh:1:snp:8758b373db51219ab0931d3d3fb405572082a862
22021,https://github.com/yasikstudio/devrank,swh:1:snp:a63d0e2170a6510c81274ce235e838f93c7c8ae1
22022,https://github.com/google/sling,swh:1:snp:93045899c975ef244a3bdd09b4cea3c536db098d
22047,https://github.com/cran/ncdf,swh:1:snp:1bbe956c0a8a5319b839efd2410ac3151eea19d3
22048,https://github.com/cran/RAppArmor,swh:1:snp:709b017d01a93920b88a4416a80680380e00e134
22050,https://github.com/Rapporter/sandboxR,swh:1:snp:73b2e155e5d90e7e32e4b8b1ce0db13966eb14ff
22076,https://github.com/google/tangent,swh:1:snp:6f8d870f63f8f7ae8d94abb6afed4498078d963e
22077,https://github.com/HIPS/autograd,swh:1:snp:d3873a0534cbb347a90e56a349addac0ebed3447
22101,https://github.com/JuliaAlgebra/DynamicPolynomials.jl,swh:1:snp:4da22ddd5e107f3c1bee37a71c829c02bc14ff0c
22102,https://github.com/JuliaAlgebra/MultivariatePolynomials.jl,swh:1:snp:7cc89832231877e4b52ab0c71f48cc68d7728200
22107,https://github.com/dmlc/nnvm,swh:1:snp:bc6efe00c0becc5be495f586cf801627155c945f
22109,https://github.com/Smeths/pygroup,swh:1:snp:1edcd72adb368f3aa81e75155ab84e6a9e894ba6
22110,https://github.com/issp-center-dev/mVMC,swh:1:snp:6e2dbe01240ddea4d2d3c0a62d5b82e55591b369
22112,https://github.com/cmsi/MateriAppsLive,swh:1:snp:e951687e7437a112558d4e6e7fa5bfb1ac0e5a5c
22141,https://github.com/quantumelixir/radx,swh:1:snp:f911dd934ddc251b11b32c0c81d15ca660787246
22143,https://github.com/cran/fgac,swh:1:snp:27c471e50921d5019d8900fe5b10a73b8e8aefea
22160,https://github.com/eiscor/eiscor,swh:1:snp:21e54fea630cdee3dddcc3fa61aa7a2c4cbced64
22167,https://github.com/cran/logcondens.mode,swh:1:snp:5b50702507af949752a598b6616b450a5d0c2c29
22173,https://github.com/jjh0925/nsiGGM,swh:1:snp:f018c1122d82580c9a44b23ae963852378184300
22196,https://github.com/PoslavskySV/rings,swh:1:snp:1d81fbb62ab7e92f8ba46aa3e9a5c6686f66cfe2
22199,https://github.com/AlessandroBeggiato/MultiUbic,swh:1:snp:c90af6474b9a1c5adcd0c8dcc037750527c81b7f
22200,https://github.com/gapt/gapt,swh:1:snp:257667caa35678dfc12d096d83735b7db8ec0c50
22206,https://github.com/wenwei202/terngrad,swh:1:snp:759da9e00562ae4544132ae384527fe5d10fb9d8
22214,https://github.com/AnneChao/SpadeR,swh:1:snp:09dacb757ee952603c292498b11521df62b9d7bd
22237,https://github.com/blechta/fenapack,swh:1:snp:524058d9b014640aa9f09d05aa4b8ac877c9c105
22270,https://github.com/lkastner/polymake_toric,swh:1:snp:66c165f9ebc0011b8fecde34d62d364c7d8aef98
22280,https://github.com/Singular/Sources,swh:1:snp:bca994a1627f0ba4a660ef442e239612236722c6
22281,https://github.com/Singular/Sources,swh:1:snp:bca994a1627f0ba4a660ef442e239612236722c6
22299,https://github.com/cran/ccgarch,swh:1:snp:bd6f89c6437a6f23b4dc5cb431517ba90d17b184
22302,https://github.com/mantidproject/mantid,swh:1:snp:a498279f79f78bd74c51a33f2a2bc6d18df22895
22303,https://github.com/cran/XMRF,swh:1:snp:b7f0ba538b73b9821060a4d11297fe0e8834542b
22319,https://github.com/i-pi/i-pi,swh:1:snp:ddad6c9983a9fdab19ead1ee2adfba3be01f576a
22328,https://github.com/martinh/libconfuse,swh:1:snp:cea52bcd08842e9788b2088ca2de246f3f4061b0
22352,https://github.com/cran/OSTSC,swh:1:snp:fcefa05ccce5075f4221bc34a427db4e331dcb84
22354,https://github.com/cran/dummies,swh:1:snp:2f083efcad066af7a6cca5476461a01b3f81fd13
22359,https://github.com/odlgroup/odl,swh:1:snp:1bcf984e47ff20526c7ae461a08172a5559b7b05
22363,https://github.com/gituliar/fuchsia,swh:1:snp:1d7d4f6f149dd9b5f4973d5c893af121c6b51220
22364,https://github.com/mprausa/epsilon,swh:1:snp:7c489e72d307f99a5365d62b0934271a9ebd2e61
22365,https://github.com/litvinen/HLIBCov,swh:1:snp:f9484682e0afce0ae4db3e395c00ae7ae321a2ff
22366,https://github.com/ezander/sglib,swh:1:snp:56fb562e27f4f258a5855bf973e46c536e7ad66e
22367,https://github.com/cvdlab/LARLIB.jl,swh:1:snp:ac2479d16a14c7a6d5b4746fe94899a856dcfdaa
22371,https://github.com/cran/DoE.base,swh:1:snp:9da453c4478f3fe2f07bb9b8c631e17d99f0a0dd
22374,https://github.com/cran/rmp,swh:1:snp:f31f77bc79f76427496f829749d98e3c93ebf790
22376,https://github.com/SortingOnGraphs/AdjacentSwaps,swh:1:snp:23a1f04be129fb9d46dc2049955500bd6b6177cc
22377,https://github.com/cran/ReliabilityTheory,swh:1:snp:65a948190be5f5329ebb7a3d500625bb2b0908ee
22380,https://github.com/cran/protr,swh:1:snp:bccca2a40cd52a4b7772c0d8fd67c66661dde64f
22382,https://github.com/cran/seedy,swh:1:snp:4daeb506c8e247a12b8b834e1a03efd5fe3980f7
22394,https://github.com/deepcharles/ruptures,swh:1:snp:66d765d2c3e5cfd2701c2f08129f9ed9dc825cc3
22396,https://github.com/eyounx/ZOOpt,swh:1:snp:7d5b842ea01ce676664a08c6200203c77aea3923
22397,https://github.com/eyounx/ZOOjl,swh:1:snp:3e49c8ce8bc709b26af5f811fc67fc2004c6ad08
22399,https://github.com/garydoranjr/misvm,swh:1:snp:b2dbcd9ff692f0c655d0aaae00de5c0e314d3056
22548,https://github.com/cran/glrt,swh:1:snp:be3112c412cf157c71f6c4e67edced8885a21894
22555,https://github.com/cran/neuRosim,swh:1:snp:ee3b6ac1966c3694c4862bc1943e045cf5f74346
32793,https://github.com/scikit-tda/ripser.py,swh:1:snp:f24de0a2a1f18eb58b7494d483eb210c09f1367b
32794,https://github.com/dsuess/mpnum,swh:1:snp:fa7241c7f97e0c4b1f06ff0b08143ba39a330202
32795,https://github.com/Bihaqo/t3f,swh:1:snp:3777d9843bfbc4f4d576e4aee9ca1ee852c318e0
32797,https://github.com/keesmulder/flexcircmix,swh:1:snp:071d3bd0f1c645f51b15b4927572521e39adaaa0
32802,https://github.com/cran/ggridges,swh:1:snp:ddba38df2b13f7e0d20e2b9e5093e6762aa4d29d
32803,https://github.com/erdos/sphaerica,swh:1:snp:0f45ad749b8bfb8cfc9d5601cb902d24752ddb4d
32805,https://github.com/WyLyu/UPOsHam,swh:1:snp:fe66ad5ea2792ab007811e8764d056416a4afd2d
32806,https://github.com/IAMconsortium/pyam,swh:1:snp:bd5e63616eb91ae3737c2b49fdaeb0369e3debde
32807,https://github.com/tresoldi/dafsa,swh:1:snp:d7302e6760cc81ede7c61db07c803604db5a033f
32808,https://github.com/pytries/DAWG,swh:1:snp:ede84a7368e77d6ad7d7767b34483db8e112eafa
32819,https://github.com/cran/knnflex,swh:1:snp:4b1e04214b0b9d461eef9e3812c33fd8b599cb09
32820,https://github.com/robjhyndman/addb,swh:1:snp:4a1b653b8c0bdb94c2a4aac99d3e6bad043df005
32821,https://github.com/TeamGrIP/GrIP-1.0.0,swh:1:snp:49da39581eb1aa13186ea32744a024ac8650e259
32836,https://github.com/maxrousseau/pfla,swh:1:snp:9262675cdfe0f33b2c5f485afa3dbd6f8311790f
32837,https://github.com/iagolemos1/thresholdmodeling,swh:1:snp:4c3bd754da45c46ff78f35eeb8328dcc9cc6c2b8
32838,https://github.com/kikocorreoso/scikit-extremes,swh:1:snp:f3c22301d821bf1a21d62b318686f1028d0c6e8e
32840,https://github.com/PolymerGuy/AXITOM,swh:1:snp:a88ee61f3488480c9acf793bc66f30d1f771c42b
32842,https://github.com/ThomasLecocq/comploc,swh:1:snp:812be0050eaa35a4210a683c5218dca1747bdd5d
32849,https://github.com/cran/blockmodeling,swh:1:snp:d5da282694d45d1cddb33495eaf9e9713b72cf3e
32857,https://github.com/cran/logger,swh:1:snp:5124960bcebca58f5bbf87d0bc54ebff3e20e8cf
32868,https://github.com/jjdegruijter/ospats,swh:1:snp:de82927add6ce68fa971ea0f5f86d0734481ab2e
32870,https://github.com/cran/stagedtrees,swh:1:snp:35af0a6cf4af4668ac4cda9bfba3d28a9ea29934
32891,https://bitbucket.org/guidokanschat/amandus,swh:1:snp:56f0f8bead108c35f6722c6e8a93a3256619433b
32892,https://github.com/vitrivr/cineast/,swh:1:snp:e34341f26b1dcfb3e6610b2612888db1004741e3
32967,https://github.com/janestreet/async,swh:1:snp:2cafe4e11fa12c3c27bdaecb4f0a39262d72d623
32968,https://github.com/GaloisInc/HaLVM,swh:1:snp:cbe4b79f2d9287f63960c36818a373989eb1d9fc
32969,https://github.com/kayceesrk/multiMLton,swh:1:snp:f98d7fc1f376cabe8efd4a678397d40fc814038c
32974,https://github.com/takemaru/graphillion,swh:1:snp:f824726cc1fa4af6cd523f554546d1a741636183
32976,https://github.com/paulcon/active_subspaces,swh:1:snp:8f3a1dcb2b1f16d4b4ad212820922fd24e4282b7
32977,https://github.com/tfhe/tfhe,swh:1:snp:0373626d1400af6e5142d40691099864067b68f9
32978,https://github.com/kbarbary/sep,swh:1:snp:3ae12f3cd7926879cab71abdd60bff9c7285af91
32979,https://github.com/davidavdav/GaussianMixtures.jl,swh:1:snp:944d00b2b071b025c177faa3a8316e8f7bcceb5e
32980,https://github.com/dstndstn/tractor,swh:1:snp:02b60dc0b37910e14c3e2be9367d0a72f50b3da7
32983,https://github.com/feltor-dev/vcl,swh:1:snp:800176ca5bdfcbf83d2340a8f58325987499b7e2
32986,https://github.com/kuiy/LOFS,swh:1:snp:01e09f94b97866bf0834b92bb5f377ecfc8d249d
32993,https://github.com/asael697/varstan,swh:1:snp:f21748e87015567c72ea0b809f6f1d075309772b
32994,https://github.com/rajeshrinet/pyross,swh:1:snp:f4f3927ba86010ed0e94cd9e9fa4e7d321985f10
32995,https://github.com/kbarbary/nestle,swh:1:snp:fc394f2cbf4daf8043c3c87ecc171a6a67975dab
32996,https://github.com/google/jax,swh:1:snp:53ebebca8893cb5dea568e74a68eb0fa6e23bc4f
33005,https://github.com/ondrik/libvata,swh:1:snp:f12cdbb8d98c3c78c3dd8a157dd58cceefb20ed8
33016,https://github.com/UCL-CCS/EasyVVUQ,swh:1:snp:563cdc13ec78daef6df8555b179830d710df59a6
33018,https://github.com/sustainable-software/FHI-Toolbox,swh:1:snp:e22e0940d146c969179df58a4a3e7084f7d6cc97
33019,https://github.com/dynamicslab/pysindy,swh:1:snp:d988ce214548e132e387b07c7bcbdf17585ead3d
33029,https://github.com/cran/easyalluvial,swh:1:snp:9421242a507a01252d40006887064ab83c1e564a
33031,https://github.com/torressa/cspy,swh:1:snp:3ff7d277ed31440761da83432806119836fd02c1
33032,https://github.com/ToonWeyens/pylgrim,swh:1:snp:0f2e07c617458ec00b7ef0fb273f266e3f595fc1
33033,https://github.com/oemof/tespy,swh:1:snp:82040fa299a9ca46c34cb0491b8454205cde8609
33035,https://github.com/fat-forensics/fat-forensics,swh:1:snp:211bd00399d46d7bd97977d53ed070e1734ab9a8
33038,https://github.com/ARM-software/mango,swh:1:snp:5b0172504de264a9c513ce443644cfada84dd87f
33040,https://github.com/McMasterRS/LFSpy,swh:1:snp:0decb2e7329e87fd9249b825ed9487d1b4aac123
33042,https://github.com/expyriment/expyriment,swh:1:snp:e735a0254907619221fd092228e65c610c40f9fb
33047,https://github.com/skelcl/skelcl,swh:1:snp:629865a78d2f7d35b87fd5bce95c95563cb34cb5
33048,https://github.com/HSA-Libraries/Bolt,swh:1:snp:eb5fa1d95b120d3437a14ae6645c83edce62d876
33053,https://github.com/psnc-apps/muscle2,swh:1:snp:3879882d69296bcd0ab88e1a56c825d8ad8b6039
33056,https://github.com/libxerus/xerus,swh:1:snp:368f1264cc8d5e8539f35e325afd0e2f75da0cf5
33060,https://github.com/compphysgroup/strainGradient,swh:1:snp:14eaf097fcac045f73aaee14d9df6d0c4c11ae33
33065,https://github.com/vigna/Sux4J,swh:1:snp:19eb51f0c59f7a2afe60f41baa59f9e26dbb21b6
33066,https://github.com/cnr-isti-vclab/vcglib,swh:1:snp:253ecff6be258bcb92088daac14a76b889d4c164
33070,https://github.com/alviano/aspino,swh:1:snp:50a44c1f666dc9d921181bafe47a3580d112e8e1
33072,https://github.com/polyfem/polyfem,swh:1:snp:e9323579527c98882fd6cb1e69ddbb1b402ec395
33093,https://github.com/alviano/aspino,swh:1:snp:50a44c1f666dc9d921181bafe47a3580d112e8e1
33099,https://github.com/dbunibas/IQ-Meter,swh:1:snp:447678c296df425c819c6151765c8927dacbfa0b
33100,https://github.com/Starlib/Rate-Library,swh:1:snp:bac81810faa815340f80f6cde6f3d1c944fca633
33106,https://github.com/tillnagel/unfolding,swh:1:snp:cfe84d35a1a80bd704625c9d6dd12db94e451316
33123,https://github.com/HCBravoLab/yanagi,swh:1:snp:892164c0d0ff85c3431e881af142bcf286b975ba
33125,https://github.com/COMBINE-lab/RapMap,swh:1:snp:1c73071bf3749e9ba3ed17991e58e856342eab04
33126,https://github.com/shamsbayzid/DynaDup,swh:1:snp:3e604b78ed630940d3a0ab09119da74c8d674865
33127,https://github.com/seqan/vaquita,swh:1:snp:26b35c06e2a6200ed2bd0138baa5a070e25321ce
33128,https://github.com/arq5x/lumpy-sv,swh:1:snp:aa313dd1dc24c5966a4347445180c9bb0fafc24a
33129,https://github.com/ucrbioinfo/ThIEF,swh:1:snp:96414780444c93d4d51223e10a8d2f6864554d3d
33131,https://github.com/COMBINE-lab/rainbowfish,swh:1:snp:6d2ad492bd7c841febcc598c55d1ae9179cc69ab
33140,https://github.com/bioinform/metasv,swh:1:snp:a9cb8b55da63360c20dbd16c88d13590daf14041
33145,https://github.com/lh3/wgsim,swh:1:snp:2f394367c6a55f3608b86cdf500de53d7cf8ac94
33149,https://github.com/wssuite/NurseScheduler,swh:1:snp:df79f69dbe066441edf96aaef7fd3979b814c517
33154,https://github.com/cran/nodeHarvest,swh:1:snp:4d626e1b916b02b53545ef1f78732973ee7f36e6
33156,https://github.com/cog-imperial/suspect,swh:1:snp:7b6f73a8f040f09198797553e4841542fa95e07f
33158,https://github.com/MPAS-Dev/MPAS-Model,swh:1:snp:30e3756e25f77e86eda82a3a66ea46ffe24b55ca
33161,https://github.com/pigworker/shonky,swh:1:snp:f5fa223ba721ffa6dafb1b47f5edf2f3b0a0c712
33162,https://github.com/dwillmott/rna-state-inf,swh:1:snp:c9b7299e2867e0b6d9a668f19abf08607d5e92b9
33163,https://github.com/carushi/reactIDR,swh:1:snp:1da27f0fb9d69fe32d8efb6736768a7cf26bed07
33164,https://github.com/AviranLab/patteRNA,swh:1:snp:b52156ac9f3a32c3982e08ee6f26ba9c825f3e7f
33165,https://github.com/andrewssobral/bgslibrary,swh:1:snp:48142ced8df18d1a20877343710c32a8503ef724
33168,https://github.com/named-data/ndn-js,swh:1:snp:1f93421129d2bcc014634c3763050e26413c493e
33170,https://github.com/lisa-lab/pylearn2,swh:1:snp:be2e078d977e3835ba5045dd6a8c357f07fa07fe
33175,https://github.com/kalngyk/segmentplacer,swh:1:snp:7eb12389dde6f1744054a08433b50c55a896628e
33177,https://github.com/dchest/pyblake2,swh:1:snp:13d1b9166a5eb8da046b979036e3a36e524a04df
33178,https://github.com/DeepRank/pdb2sql,swh:1:snp:211e3fd7ff55432cdadc1840d88db7332f4a4f42
33181,https://github.com/DeepRank/iScore,swh:1:snp:1a61c88dad0b317459504beb38b9cb6bea7c1849
33185,https://github.com/chongshengzhang/Multi_Imbalance,swh:1:snp:31ebcafef6f8de483a2dd296a4c520c34e29fe34
33186,https://github.com/carden24/V-Xtractor,swh:1:snp:04f1a725284c6855b2ec6e1e79d47ab5778817c1
33192,https://github.com/joelprince25/adacost,swh:1:snp:e258ba14e5da1bdf9aa286033f7c7b3c1477a532
33194,https://github.com/westpa/westpa,swh:1:snp:633519ce36c06e90cf47820d5925a3818ed16eff
33197,https://github.com/pmcharrison/psychTestR,swh:1:snp:003fc6f49e97babf34a3ebf68d301efa72ed0859
33199,https://github.com/klausfrieler/JAJ,swh:1:snp:688d73c179be6840841ea163dd3dc4027e243ea7
33200,https://github.com/klausfrieler/RAT,swh:1:snp:26679d8d61445e6435c37f031ed99406ebd10bf9
33203,https://github.com/cran/rcure,swh:1:snp:63d226766d30ef1f7d467c67b91d46ee163626bd
33204,https://github.com/cran/OIsurv,swh:1:snp:aebcd2d446b510f1e0aa8f4890ac601f21e8284f
33205,https://github.com/shah314/graphcoloring,swh:1:snp:cd828cdf6a8bbc5bfb1e50e928d54091fab348e0
33206,https://github.com/simonom/PyCHAM,swh:1:snp:ffa9d4caebba79f8ba0346b3515a69f476b09648
33210,https://github.com/joaomcteixeira/taurenmd,swh:1:snp:51a48f48a9ef61aeb87f9364ead047853f6d16f1
31370,https://github.com/tcwangshiqi-columbia/Interval-Attack,swh:1:snp:7dc4df4589040c42136afe526e671ae2f0928bf3
31371,https://github.com/ElsevierSoftwareX/SOFTX_2019_219,swh:1:snp:e6d42e6731ce66e3c09de07ac49964c03139e990
31374,https://github.com/yaml/libyaml,swh:1:snp:9437d1d489b408509384198d3a9253358e97632d
31379,https://github.com/cran/PCDSpline,swh:1:snp:f07eb8822482ba87cad2d2cb0eefdcefb4348db1
31380,https://github.com/hadley/bigvis,swh:1:snp:030d751d396b82ff757ea380a9da9c98e653dc36
31381,https://github.com/ElsevierSoftwareX/SOFTX_2019_220,swh:1:snp:9bbc86e845b2be94e8258fcfd77eaa9ac0150211
31382,https://github.com/datadrivencontrol/pyvrft,swh:1:snp:e6ad98e30c32032dbe3262717c06e7d5f36ea306
31384,https://github.com/ElsevierSoftwareX/SOFTX_2018_43,swh:1:snp:21ecca14326b8ad51407e7b34e75bd088f85c159
31386,https://github.com/Mauro-Glass-Group/KineticPy,swh:1:snp:5908ff37f29dd5f02bd9c5a03e2d3eb0d84905b0
31387,https://github.com/cran/BayClone2,swh:1:snp:e25dd8a1ae8724adfd9ff51e0c3a37cc52be79be
31390,https://github.com/cran/NSUM,swh:1:snp:5049abbb1bd69e16e26f444dcceb6d6050220776
31391,https://github.com/cran/MMS,swh:1:snp:4f298cf65322989c1ae26a6dced1d2afe8968856
31393,https://github.com/DirectDM/directdm-py,swh:1:snp:9bda92d001dd9d3fe1f5e28086fc0bdf321e3737
31396,https://github.com/springer-math/Mathematics-of-Epidemics-on-Networks,swh:1:snp:d5a8c7d72715b3177c761cbafb0988a22542f1f2
31397,https://github.com/simoninireland/epydemic,swh:1:snp:78b4fc5932acc1471beb3eb66a67cfbfbf1ad73a
31403,https://github.com/Magiccbo/CciMST,swh:1:snp:f42a7c92724ce820fc4a0070a0296121d4f7e306
31404,https://github.com/DYCI2/improtek,swh:1:snp:b72e8208a1323a249a27df06daf283df46941007
31405,https://github.com/DYCI2/Dyci2Lib,swh:1:snp:1a120c8144fd1cc908308006a62c40cd5ab5c812
31407,https://github.com/woali/BootErrorLossReserveHGLM,swh:1:snp:c76fe23ae5dd063bcaa194e74749b9acba6d67e7
31410,https://github.com/tprest/falcon.py,swh:1:snp:a6817b41de8a6ecedec42fae188a2067726ad756
31411,https://github.com/cran/dbmss,swh:1:snp:429724175c52b3cd34c5da35d4ca168454b9d033
31413,https://github.com/cran/RclusTool,swh:1:snp:64763c52f9adcdf0b0b4605e039355df46eea47b
31414,https://github.com/UCL-CREST/Siamese,swh:1:snp:5a376d3e3067760649d629045c3cfdf06dcd0bfb
31415,https://github.com/crossminer/CrossRec,swh:1:snp:be96f12bcdf06c211a1ac08cae584f530ad7b8d5
31416,https://github.com/saiedmoh/LibCUP,swh:1:snp:d6efd9ae5578e90657a6c9297525054109d0ae50
31421,https://github.com/cran/lineqGPR,swh:1:snp:346aeff3557346d0b4ea7271786a30733e448e9c
31422,https://github.com/cran/networktools,swh:1:snp:6c690be30923905c6e239b62ea6fc62330863870
31423,https://github.com/cran/stima,swh:1:snp:3d6ca2a07228f896f35afd02f338832d9a4dec70
31428,https://github.com/statapps/lplb,swh:1:snp:70b4e8f073da129b4a90d0293a62432bf7164e97
31432,https://github.com/cran/coga,swh:1:snp:269807684202c1e319fcb774589c2d0140398080
31435,https://github.com/cran/varComp,swh:1:snp:174df7ab18c0693abcc001f972de2d2bf0258d02
31436,https://github.com/MJomaba/flu-evidence-synthesis,swh:1:snp:58324005ca3714efcd980c8f27d7be02344cd7ea
31440,https://github.com/cran/QPBoot,swh:1:snp:dc73ccfc927a9b86fda86c112d445f175d58916f
31442,https://github.com/cran/clustEff,swh:1:snp:d4a00aaca7ecae24ad5d0b30a76b1ae6d57fadd7
31443,https://github.com/IshidaMotohiro/RMeCab,swh:1:snp:8db518f10c735af4f692a6a89dbe17c048c3a3a7
31446,https://github.com/cran/factorstochvol,swh:1:snp:b01df64699269706871e00092e43da61dbc3c14e
31865,https://github.com/COMBINE-lab/Salmon,swh:1:snp:639a806844192fd2e37b35d3ae8cd604166f4de8
31877,https://bitbucket.org/melihozlen/moip_aira/src/master/,swh:1:snp:3371ab96533d9fa628c3f635d98c45d6c1922a25
31952,https://github.com/AndreaLombardo/BootSideMenu/,swh:1:snp:e8d55081e83c3d8f82b704c4bda1b4884feda5b1
31953,https://github.com/a-nikolaev/visualsc/,swh:1:snp:89237feb5f01e96e6b95195a841c3d904377a587
31966,https://github.com/jangevaare/Pathogen.jl,swh:1:snp:920bfac4bb38c4d2b716b90b7785a6e30e4d5558
31967,https://github.com/JuliaDynamics/Agents.jl,swh:1:snp:85cfc3a86b27ac3f17ecd449c53ae6ef7bf8d78a
31970,https://github.com/JuliaData/DataFrames.jl,swh:1:snp:7d9f8e425233c484d88a4070a9a7cd8331279adb
31974,https://github.com/jekbradbury/Minibatch.jl,swh:1:snp:28ab8d4449ed6c9cd7a8b0074770a7dced41199a
31975,https://github.com/JuliaGPU/CUDAnative.jl,swh:1:snp:f52bd2ee9580176092d9edb6650d94ba4372acf5
31976,https://github.com/JuliaGPU/CuArrays.jl,swh:1:snp:212d6f75e031dc52e8b1660d6b25a7818bdacf8d
31977,https://github.com/JuliaParallel/DistributedArrays.jl,swh:1:snp:df056461b2e69a94b40a199105a547240fe023aa
31980,https://github.com/cran/fcd,swh:1:snp:17a74c66d74a018eb76aeb28644210a481650d30
31981,https://github.com/kohlhase/CambridgeLCF,swh:1:snp:bca5bb7b926389baf3c2f92b3713ec642245b825
31987,https://github.com/luissv7/multistatepdscontrol,swh:1:snp:e5b9cebfca89975140cb56c39d6c9e1bf2326e5a
31990,https://github.com/eve-mas/eve-parity,swh:1:snp:ce560010369873e93e54032df67fb5d0f7c68de7
31991,https://github.com/nicolaprezza/CTLSAT,swh:1:snp:d06a0aecdb4f4fa8f7d5894eae379038335cba48
31998,https://github.com/Deducteam/CoqInE,swh:1:snp:c9790a44aa75d3d64c043108db62888d78f920b6
32002,https://github.com/veidenberg/wasabi,swh:1:snp:49d36083b2a9040a9f88990f555fc65802bb91c8
32003,https://github.com/electron/electron,swh:1:snp:c1b16adb0f10a36cfd2d9d4bf8707969bcf99231
32006,https://github.com/TiphaineV/LinkStreamViz,swh:1:snp:592f47813ee04bd9231915395c3b507515236109
32010,https://github.com/akmaier/CONRAD,swh:1:snp:65e829a6fb228fada90ef73400913c9b8cc4a00f
32022,https://github.com/cran/gaselect,swh:1:snp:f50ef88230af2be61e6fc3de049ef9a1e723e968
32032,https://github.com/ElsevierSoftwareX/SOFTX_2019_224,swh:1:snp:45d30bae751e22964599517d4d2159b53e6f68c6
32033,https://github.com/WolfgangErb/LC2Ditp,swh:1:snp:5804127f929b5ed3ecff669441f4d419f167f77c
32034,https://github.com/WolfgangErb/LC3Ditp,swh:1:snp:9b6e5b881520a0d979265fb16a3cd57a28fff7f0
32035,https://github.com/WolfgangErb/LS2Ditp,swh:1:snp:c06802541f9c2266702071f173117281f0b53dd0
32036,https://github.com/WolfgangErb/LD3Ditp,swh:1:snp:29a50a931ea628aa3c712f07248f3377a14eebe5
32037,https://github.com/WolfgangErb/LSphere,swh:1:snp:fdc5a9bdd6aef4cf1ab406194fd35a81daeed8cf
32038,https://github.com/WolfgangErb/RDisk,swh:1:snp:21123960c7d66bc39bed993f53470acea935deae
32039,https://github.com/WolfgangErb/GUPPY,swh:1:snp:0d569a4f0c243d51e392997c666c8855e793221c
32044,https://github.com/cran/ppclust,swh:1:snp:f03af5c21b4ba38812c5384c5c629e96692ddbf3
32045,https://github.com/gpoore/pythontex,swh:1:snp:558c5be5f67ded1fcaf5ced9250cf304b426ee88
32047,https://github.com/tyiannak/pyAudioAnalysis,swh:1:snp:51d238d83e68bdad9f7d35e6dbec729c8c456246
32051,https://github.com/Nik-U/pbc,swh:1:snp:cbd05deb7f022a57eb9482506a8ab28fa1cce433
32056,https://github.com/DIPlib/diplib,swh:1:snp:20fe64a38124a7c851616b483319dc52a0ff9b19
32114,https://bitbucket.org/jglomnitz/toolbox-update-script/src/master/,swh:1:snp:25a2376094f5edcbf056e56151818bd5f8441273
32148,https://git.fmrib.ox.ac.uk/hnili/rsa,swh:1:snp:948b2a3b04914aa4a878953699ae6923a1aec8d6
32232,https://github.com/ezyang/logitext,swh:1:snp:df70bda2639bba76d6b5b891c3d542212287ece0
32238,https://github.com/rforge/lcmix,swh:1:snp:4d5e8aca29c42c4d43c4c447e67a9fc2f82f4a17
32242,https://github.com/GeoCoq/GeoCoq,swh:1:snp:f3f378cd161fc07f8b28385f4c0ba761c80a9f57
32244,https://github.com/ralna/RALFit,swh:1:snp:77a5463d733000f4a06a1e437e6f3add9b49cc2b
32250,https://github.com/Deducteam/ekstrakto,swh:1:snp:18c492793a6112e7549f591df3f53ac4f6c6449f
32257,https://github.com/kframework/k,swh:1:snp:4324d90d82ad189a1e4121b8489a3a95d37555e6
32307,https://bitbucket.org/stefanoteso/pylmt/src/master/,swh:1:snp:2d4346884261437476532887b8eb863d667660d4
32371,https://github.com/facebook/infer,swh:1:snp:13f6e3195325d81f53ecd4d7cfb45504ed83334c
32463,https://bitbucket.org/likask/mofem-cephas/src/master/,swh:1:snp:8d42d8e63a3fa648e98bc101e52c314fe4d39ed4
32464,https://github.com/mark-fangzhou-xie/wigpy/,swh:1:snp:33aeda0c93b7ea344ab8653ae31e2fb3740b3182
32465,https://github.com/dermatologist/nlp-qrmine,swh:1:snp:9ec3193015efdf3f7c6ab6ee006cd905523f3173
32466,https://github.com/pallets/click,swh:1:snp:b7c695ec95e04500ab6421772a6e6e961b10e2cf
32467,https://github.com/chartbeat-labs/textacy,swh:1:snp:09c1a8c536b6f7439495d1992ff3b9ba4cb682a0
32468,https://github.com/muammar/ml4chem,swh:1:snp:ae319bea99ec80d16f1f4cd8f5491462620e255f
32469,https://github.com/deepchem/deepchem,swh:1:snp:599bc76274d64eb8ac62fffb8d244acb50eaf128
32470,https://github.com/hachmannlab/chemml,swh:1:snp:2b94b6f23fa7ae79ec1670c72e0157262ad6d7a2
32471,https://github.com/SINGROUP/dscribe,swh:1:snp:cc9bcd8181689c671f08729363c05746333011c3
32475,https://github.com/cran/sROC,swh:1:snp:87b420bc31045fb39d2cb7b02d3238c60fa9d946
32476,https://github.com/Legersky/flexrilog,swh:1:snp:bd462f13aa76e4a9c558c60113a0f1b10b34c363
32478,https://github.com/gugarosa/opfython,swh:1:snp:1fca6da6498e5dff09e324865ea771400cbddaa5
32480,https://github.com/sukunis/CUNFFT,swh:1:snp:7a26c742b611e9db83d13281495fdb26f2d336bb
32484,https://github.com/xxsds/DYNAMIC,swh:1:snp:fe6141ec324478f1a98d4e87a068fdf6ed631611
32788,https://github.com/cran/rwt,swh:1:snp:a0c01096a75a7f82b4da973e1314bdc0b7306f1b
32790,https://github.com/andim/noisyopt,swh:1:snp:38c9ac90732515bf7875c16ad93db8db05f9f3fd
32791,https://github.com/alcantarar/dryft,swh:1:snp:5978047d4782d68e0adc04a79f297756dca60382
37617,https://github.com/DIPlib/diplib,swh:1:snp:20fe64a38124a7c851616b483319dc52a0ff9b19
37865,https://github.com/deepchem/deepchem,swh:1:snp:599bc76274d64eb8ac62fffb8d244acb50eaf128
26508,https://github.com/guorongwu/DynamicBC,swh:1:snp:dfcd5fb9c8e47863cecebb031af163fb491f8c64
26527,https://github.com/dmlc/gluon-nlp,swh:1:snp:bc2dbd464509bccb13e12b01791f2b7cf9842a32
26530,https://github.com/facebookresearch/ParlAI,swh:1:snp:d8c090649581f4548be19c01f49390f4a2b813a1
26566,https://github.com/rforge/hypergsplines,swh:1:snp:df332d222ecfa3723761fc7147f0e4820dcea3b5
26584,https://github.com/awslabs/sockeye,swh:1:snp:ca649b2e8a43464d26f9b9a786a8b8417bc7daf8
26588,https://github.com/dunan/MultiVariatePointProcess,swh:1:snp:f10da9fdceeb6b8c6f3cfe909ed431c121902bac
26610,https://github.com/solros/poly_db,swh:1:snp:edc130a55c9f7a9397a7d7db572969c3597ad212
26615,https://github.com/gap-packages/NormalizInterface,swh:1:snp:c441bda8a93f70d78ebf552abdf1f36398fbf55f
26617,https://github.com/gap-packages/grpconst,swh:1:snp:bd122f630d01a4438490d1573209c59eaa0ce321
26618,https://github.com/gap-packages/sglppow,swh:1:snp:ec8a7e76e34e8a73d0d2ecfd36b8c7d64964efd1
26653,https://github.com/dme65/pySOT,swh:1:snp:c5071eca7bc35d90d590b517bbabca13cb3e27fd
26668,https://github.com/CPJKU/madmom,swh:1:snp:fe82549f6df24a04399b06eaf94faef944fa6942
26680,https://github.com/hiroyuki-kasai/SGDLibrary,swh:1:snp:d22738b54acadf96646fc8721bd27093343f960c
26686,https://github.com/NaegleLab/OpenEnsembles,swh:1:snp:ea58a14334bf985ed0785dce4f3f53d907f31e6e
26688,https://github.com/voteview/Rvoteview,swh:1:snp:ff8ace20e54eb6be0bf5b95ed11ef42e6efd38c6
26689,https://github.com/lanl-ansi/Juniper.jl,swh:1:snp:fa6180f1c62d986d24d9310c7f82cfe9765eecf6
26690,https://github.com/paradise-fi/SymDIVINE,swh:1:snp:c97b59f8ac2daca37c109d4a2557839265abbe97
26696,https://github.com/cran/OrdLogReg,swh:1:snp:f65aea8b7f8b4ef5811cc2e80cd0015532c74c8a
26705,https://github.com/mrkulk/MIT-Picture,swh:1:snp:d4ced2cd638ba1399caca2f98a320166d94aa5a3
26707,https://github.com/chainer/chainer,swh:1:snp:cddda1e2a548fa0b1eba3dd4139dc015f1fb7177
26718,https://github.com/cran/mirf,swh:1:snp:37f2caf9ddd2d813dfed90d0a04e21bf4754c8ad
26719,https://github.com/cran/changepointsHD,swh:1:snp:6fdd09c5db8e924d348458308248795aa0fd2d01
26720,https://github.com/T-Obuchi/AcceleratedCVonMLR_python,swh:1:snp:75d782af53dd68a6a1c1d57bd573516f2b6db4e5
26721,https://github.com/jnagy1/IRtools,swh:1:snp:823053d637d6ca91310430f5e43b06c4176218e9
26727,https://github.com/rwehrens/alsace,swh:1:snp:18e9bb7b6efa6c8c2957c90f8489cd5f914c7f79
26734,https://github.com/bruneval/molgw,swh:1:snp:661df285707f0303fb069561dd1e9275f7c78c05
26735,https://github.com/susilehtola/HelFEM,swh:1:snp:1978564bb631db54f78e4163c7fd0a8cc539879a
26739,https://github.com/IIE-LibD/libd,swh:1:snp:d2551ba6bcb4ba9f96478d267ffd07cedede87b7
26758,https://github.com/ashishsureka/parichayana,swh:1:snp:b3bd1f38510675ba69435bb43f870296725ce3e4
26773,https://github.com/l-modolo/UrQt,swh:1:snp:b74ab1f50c1ac70a720fd7cac1fe83653ad3e85b
26777,https://github.com/nhanhocu/metamicrobiomeR,swh:1:snp:e2b01ad0ee39ae885611f84afe1bddac3fd024c7
26784,https://github.com/cran/NeatMap,swh:1:snp:27069f61446930fceb60b6836cc8d321bb043061
26788,https://github.com/cran/assertr,swh:1:snp:9bd8086e9fd0a354f82226add1dbe88fe67eb821
26791,https://github.com/spacetelescope/pyraf,swh:1:snp:657a297948e1d06403a8b80f49f2b08b2dbe0016
26793,https://github.com/pynbody/pynbody,swh:1:snp:42972097ab83770efd5de4a14793f19bba102b51
26794,https://github.com/aplpy/aplpy,swh:1:snp:a2d75901c6f8580370eeb9be29ae279d298c5625
26800,https://github.com/biosql/biosql,swh:1:snp:23f7df4d92edc0ffd4b6efb5d1e427614f7f09ab
26802,https://github.com/arturgower/EffectiveWaves.jl,swh:1:snp:4ef1a4b5e4367176aa2082b311380a9c976fff0d
26803,https://github.com/kk415kk/moocRP,swh:1:snp:36c917bd5b697b3b678cfdb42df450063482cdc6
26804,https://github.com/cran/glmgraph,swh:1:snp:6122e8aeb69c4d5c1ec220d16f6c9dbf0313e41c
26811,https://github.com/highperformancecoder/ecolab,swh:1:snp:65f23ed1be4b287c13c326f2f236b8f5412e093c
26841,https://github.com/cran/ESKNN,swh:1:snp:566a442be4285a35a09b09bc8e63142ca4345dd6
26842,https://github.com/cran/BayesSummaryStatLM,swh:1:snp:1727e79505c80b1be0371d51a7a8e542932ad1dd
26844,https://github.com/cran/rcss,swh:1:snp:30db113f2329e623fb8b4d8a98dacfc7bc4f815b
26852,https://github.com/cran/zipcode,swh:1:snp:014fd5be8fde9fa8b23193ba4cfbe9278155a031
26882,https://github.com/rjust/defects4j,swh:1:snp:39001e9103a08157132823279516d6fab6e108e7
26883,https://github.com/SpoonLabs/astor,swh:1:snp:2eeba8d7d634f43f20179cf0e1685d5730587626
26884,https://github.com/SpoonLabs/nopol,swh:1:snp:53c0c608939d46ca6ecd1bb4ae1087f9d36791f2
26895,https://github.com/DIVERSIFY-project/sosiefier,swh:1:snp:dae3465a3948ee655dc8472fa3c44ea3718afbee
26896,https://github.com/castor-software/yajta,swh:1:snp:aa12b059deb32ad6bcdc9613e0be110abbe1f29b
26898,https://github.com/KATRIN-Experiment/Kassiopeia,swh:1:snp:8de2ded8ac93d4b3756c9a923f370d9a940e7930
26920,https://github.com/tpaviot/pythonocc,swh:1:snp:7e3a781621e4feeea33dc68f09baccdf0252cf4d
26921,https://github.com/mathLab/PyGeM,swh:1:snp:dcdba02963c6276020627394c18e824365b3a85b
26924,https://github.com/dobdobby/DiffCoEx,swh:1:snp:322c21b3b8ed5a7e170a9d577114e8f9b80563f8
26925,https://github.com/BayCountCodeData/BayCount,swh:1:snp:79aa085bac46aab55fb7e6372d642f554b41b40c
26926,https://github.com/morrislab/phylowgs,swh:1:snp:7d3e49c49ec57ee11c5d320f17629927d7f4b592
26929,https://github.com/jeppe/TIIREC,swh:1:snp:905dfd4a3ab7112f4b87889682f32096e2ee0861
26930,https://github.com/sjbeckett/FALCON,swh:1:snp:c3896a6c9f1893c0d7186c00051327879b9c0af8
26953,https://github.com/9il/atmosphere,swh:1:snp:bf4a6b77f9f5257136231f5af72851d000e8d8d3
26954,https://github.com/Stefan-Endres/shgo,swh:1:snp:2fef2c063dc168f65e41afe5741362bbeee24024
26956,https://github.com/Stefan-Endres/tgo,swh:1:snp:3f8e3623faebe7fbaead54207c6749b83c13acd0
26961,https://github.com/acados/acados,swh:1:snp:7c552b29b29c1c823c58bbda521827e91a9eedb3
26962,https://github.com/giaf/hpipm,swh:1:snp:c83db96785f3d85ac832df360f3b9df4d66bf7ab
26984,https://github.com/BlueQuartzSoftware/DREAM3D,swh:1:snp:f301a37deb40a90ec158d1735a139b919327b4f1
26992,https://github.com/larisahax/awc,swh:1:snp:1911c7f379e61d549f06c19820ddfc1d7c0083b9
26996,https://github.com/cran/rstap,swh:1:snp:42bc57717e50a22b4fab69dcbf0f3f013ee2495f
27000,https://github.com/JuliaOpt/Convex.jl,swh:1:snp:f18796bdbea4049257e85ee1d8209cd2acb41e1a
27001,https://github.com/cvxgrp/qcqp,swh:1:snp:e28b70a711a8fafc415948a31f79a61c986bfc54
27002,https://github.com/madeleineudell/LowRankModels.jl,swh:1:snp:efbfc49d1e1676dd5f52917920cd4809d2088756
27003,https://github.com/udellgroup/pyglrm,swh:1:snp:d9cdb18a19a5825edca7d63bb91ac23a5622c255
27011,https://github.com/cran/PIGE,swh:1:snp:1cc3f6aa9bfd47408be850188b1e3b7dfad90557
27012,https://github.com/williamaeberhard/robnb,swh:1:snp:864313091ae82427c6adcdf64ece5520700ee33d
27017,https://github.com/ysig/GraKeL,swh:1:snp:12b0a25b39eb7991067668b5106568dfedf9f69b
27020,https://github.com/tensorly/tensorly,swh:1:snp:a97f4e28cb0fb396f1dd593c1428dee6032c7189
27021,https://github.com/cupy/cupy,swh:1:snp:c038506ec83d446e77901a78cdc4a9fe9bc721d5
27023,https://github.com/tenpy/tenpy,swh:1:snp:48d48b9c24211c7939d53dd40b2e3e7906e991e5
27027,https://github.com/Kaixhin/FGLab,swh:1:snp:d49827bb242f47b79475e68e56cb744c5cf2251d
27028,https://github.com/VIDA-NYU/reprozip,swh:1:snp:41bcdf4f419321152c87315d6aef51f7181fe1a2
27033,https://github.com/gallantlab/pyrcca,swh:1:snp:60a2009b492b613c452aafd6282b83a385a25c30
27034,https://github.com/lorenzoriano/PyKCCA,swh:1:snp:35794595ac771ec428cfc1fea9c1bea37c5013db
27035,https://github.com/sevenian3/ChromaStarPy,swh:1:snp:e8cf475c85d85a67e7a9a55360b4c743a9e162ae
27041,https://github.com/pymc-learn/pymc-learn,swh:1:snp:da7df0c3853d6c7772aa5d5b366b9c2992557ee2
27042,https://github.com/gdetor/SPySort,swh:1:snp:e70f695ad5d398a252ffc86d6a009f3094061d02
27043,https://github.com/DavidDiazGuerra/gpuRIR,swh:1:snp:0cd3b0b5744f88544b1ee94e26affe578dd39a57
27047,https://github.com/guilgautier/DPPy,swh:1:snp:53c3eeeb52f30c27e2c2ff7d01074f6734a8d406
27048,https://github.com/jrbourbeau/pyunfold,swh:1:snp:6d71d9a3e321adf447f4c7438e567d0d02ee3bac
27049,https://github.com/cvangysel/pyndri,swh:1:snp:e2a78f2405e9def076abecb3d83c5f7da5b12b8e
27051,https://github.com/modAL-python/modAL,swh:1:snp:322b9c35518e54bc8e64f03577bfa7be765d3546
27057,https://github.com/VoltDB/voltdb,swh:1:snp:11c64829585f1ca74026fe53d0c47e51af39ab06
27061,https://github.com/CryptDB/cryptdb,swh:1:snp:198cd5129127cfd37f66003fa66bc0f3f5ed19c7
27063,https://github.com/gunrock/gunrock,swh:1:snp:bfafbaa0ee24d8c09d6c388625dbaa4df5add872
27067,https://github.com/erleben/num4lcp,swh:1:snp:8458648e88bdb6a0c758f3be89c2135f93c72b56
27071,https://github.com/darrenjw/sbml-sh,swh:1:snp:0631b871051af4981d1be8b91d7501799361ea53
27072,https://github.com/yzhao062/pyod,swh:1:snp:bf0b8b9f1c5a392c281bbdecf4764e8d4e694ad0
27074,https://github.com/kymatio/kymatio,swh:1:snp:e9e53968e3d2c6f44a59f627ec2a189a87472aad
27076,https://github.com/ibm/yaps,swh:1:snp:e89e5f3baaf8218e859dc531cac2ab926fbf29e4
27078,https://github.com/mila-udem/myia,swh:1:snp:34aa61e3f3ca17cb74706e3b016fcd802eefe397
27085,https://github.com/lkreidberg/batman,swh:1:snp:e4a63d28be4f6d157546f5d54db3e19022cb29e7
27089,https://github.com/hpparvi/PyTransit,swh:1:snp:285fc81d11b705ea1fe45603f16ef0af9f5c3131
27091,https://github.com/skeicher/autgradalg-lib,swh:1:snp:d3489e5877ca52b78035c4a0b4f5cb08228df451
44706,https://gitlab.cosma.dur.ac.uk/dc-barr3/gramses_semi_public,swh:1:snp:b47a39f29ee4a0ce29a168a70f622729c4d4e519
44606,https://gitlab.com/siesta-project/siesta,swh:1:snp:94c263ae81bb0e30304865f34b7e9e21f45a2c04
44603,https://github.com/ai-forever/ghost,swh:1:snp:d034a06e95bd1963be36ef2313fec805b7765441
44589,https://github.com/HojunYouKr/Deneb,swh:1:snp:87d55740ecc9832b113931b5c6e3456322c18f3a
44573,https://github.com/duanebyer/sidis,swh:1:snp:a4943701013d6e6c616dead47faddf651f0b9ab5
44569,https://github.com/zhaiyusci/peng,swh:1:snp:201e0f112bab42f273943ae5aeae29545747eaef
44551,https://github.com/shouhengtuo/MTHSADHEI,swh:1:snp:b3f2b6f835ca6f0b61c7e394b74c2a2866992406
44512,https://github.com/kingyin3613/RingsPy,swh:1:snp:224a94ae55f11f18595d91ea96a5055be5f6af34
44322,https://git.rz.tu-bs.de/irmb/virtualfluids,swh:1:snp:d672729c6b7a8599f34a723d5cb4db24f9c4d3a6
44215,https://github.com/nick8325/jukebox/,swh:1:snp:37ced6b5b04c379195fd61a35c76fdaa691bce53
44102,https://github.com/eirikbloodaxe/franz/,swh:1:snp:c404f18031a00fcffb23a91292c9eaa86422a876
43935,https://github.com/germain-hug/S2DNet-Minimal,swh:1:snp:33f1965293cebe8f04cd4e822aa7dfc1d7c77563
43818,https://gitlab.mpikg.mpg.de/curcuraci/bmiptools,swh:1:snp:648cd8ad3fc6c91cb761bbef68d66a334b2eea43
43787,https://github.com/LanceFiondella/C-SFRAT,swh:1:snp:a382015f3289568199ff1f8cfbe181e99208cb41
43780,https://github.com/amaelkady/EaRL,swh:1:snp:afa6a86745f6d39c20969bf15cb8ca47e5d8d66b
43777,https://gitlab.insa-rennes.fr/Jeremy.Omer/MinDouble,swh:1:snp:3f8135a666cd0389fba3ef81897b2867c0f6136e
43776,https://gitlab.insa-rennes.fr/Jeremy.Omer/min-revorder,swh:1:snp:97dc6f9141126389218e6b07be2ce1732e9fea1d
43770,https://github.com/gaogaotiantian/viztracer/,swh:1:snp:23749fc402001e3d2e166380058bb147e67d56d4
43768,https://github.com/SpectraSorter/SpectraSorter/,swh:1:snp:dac2cfca60c1deaeb34a2dbe6d62f61aa3ddd05a
43763,https://github.com/ckadelka/BooleanCanalization,swh:1:snp:b53a31940fa230251960cf170d7a19c7be19bfeb
43761,https://github.com/ghoshanirban/unitdiskcoveralgorithms,swh:1:snp:f3ca70e4a11d1fc7d51c183a9e886e66c0ce4111
43747,https://github.com/drlukeparry/pycork,swh:1:snp:3cc4a8633a1390356402cc889e759937e500ac96
43745,https://github.com/ElsevierSoftwareX/SOFTX-D-22-00010,swh:1:snp:ccd66fd8e02404a13ab68a2a5e9e4daa6abee3d8
43739,https://github.com/saadgroup/pymodpde,swh:1:snp:b561092b4902c48f5c7cb053561a5046002b6f4f
43719,https://github.com/Ulises-ICM-UPC/UCalib,swh:1:snp:4e540cebbd13df197f706a3c60cbf96d1233a363
43712,https://github.com/Coastal-Imaging-Research-Network/cBathy-Toolbox/,swh:1:snp:63c3ed470ce90056804c19ad84e2e56e90ba1e1a
43705,https://github.com/stochsd/stochsd/,swh:1:snp:3f914bfa9c23f95df1625401f1a412e3c91d1978
43700,https://github.com/unepwcmc/wdpa-statistics,swh:1:snp:d659565534fe7c36262edefba7884906630f0de3
43698,https://github.com/ropensci-archive/rwdpa,swh:1:snp:752f0ec33da0a4bc89373a0ef6cd7b2b1fdc8b23
43697,https://github.com/frbcesab/worldpa,swh:1:snp:5bd20faa73bdc93bf46b6c579d55dd1e0c05e2bb
43696,https://github.com/ghislainv/pywdpa/,swh:1:snp:9abf36d1108a4a99cf80dbc7d1eb51cdff217420
43693,https://github.com/jbrea/CMAEvolutionStrategy.jl,swh:1:snp:5e5c56d099ddfc33ccc5dd7940cd30fb2d0c0447
43689,https://github.com/belayb/bayesgmed,swh:1:snp:a976ec39cc2927daac192d3b9867c27fc16e66b9
43673,https://gitlab.com/openCFS/cfs,swh:1:snp:65c106e9db1f1f3a322121488d3171836c0f067d
43666,https://gitlab.com/raykzhao/gaussian,swh:1:snp:10fc667c1fff9115fd1aebd115f4207982c5b796
43656,https://github.com/weymouth/DataDrivenGMG.jl,swh:1:snp:cce3e226e005ca44b1bbbafd7c7575dd805722a2
43644,https://gitlab.iit.it/SDecherchi/nanoshaper,swh:1:snp:03e4a82b012031a210833d42b1c902712eb21f00
43495,https://github.com/triqs/cthyb,swh:1:snp:cd11afad9959a3d955aaa5ef184395df5e7dba2c
43489,https://github.com/issp-center-dev/PHYSBO,swh:1:snp:098d627404f30b98d8c80b7d36a5f3ec6da68bb0
43453,https://github.com/marcoamonteiro/pi-GAN,swh:1:snp:04a52b6cc18f9bc199692288311e7e96ea3f72a9
42399,https://gitlab.inria.fr/hainry/complexityparser,swh:1:snp:a97a5bbcf05ebdbf647e1b9ef28c8176ade66345
42395,https://github.com/npaskal/EfficientJetMarcher,swh:1:snp:e13cce2a343db28687b89774508b570c0147f058
42384,https://bitbucket.org/zulianp/utopia/src/master/,swh:1:snp:e60374b3fa5d24b79bf0f7790591d84abc653be5
42379,https://github.com/jendelman/GWASpoly,swh:1:snp:eb40a56438960c70a08f2a83c942e92495d1e0f7
42371,https://github.com/alinapetukhova/textcl,swh:1:snp:c0b745ab9c1520606497ef9a6cd30d55d3d381ea
42358,https://bitbucket.org/JanPeleska/libfsmtest/src/master/,swh:1:snp:bf8dcede5daaabacea6c091e919f85b129d1b8a4
42353,https://github.com/algorand/pyteal/,swh:1:snp:b7f541ee6484f6bac94bc528ffa429196d8cd79a
42326,https://github.com/earlyuniverse/ulysses,swh:1:snp:a25b91bc7c56c03975754ee3f0cf6bb29546abc6
42322,https://github.com/vorticle/newton-potential,swh:1:snp:aaa0e7097e51ab30ffb7c7107a7880a662d325d9
42320,https://gitlab.com/ChrisSchoutrop/stoichiometric-transformation,swh:1:snp:03ca62ddf6bc891196550323083f2ba79bef0125
42319,https://gitlab.tudelft.nl/ADMIRE_Public/mechanics,swh:1:snp:d71dfc6ae413581785a6080da8c24b64ae7f1a76
42308,https://github.com/librallu/dogs-pfsp,swh:1:snp:ff132b3c1cc9ddb3a46d95242a0656caeb09f124
42307,https://github.com/RPI-OPT/Inertial-SsGM,swh:1:snp:85974d1a56acd4047ccb438220aa11900ed604c5
42299,https://github.com/ttesileanu/bio-time-series,swh:1:snp:531ac1d33b2a4b9a7e3627e2f95e17b906da1a9f
42263,https://github.com/davidalami/convert,swh:1:snp:4a411670f6df4b5353ec79009256fced0dcf862c
42261,https://github.com/brunnurs/valuenet,swh:1:snp:713444ea98420fbaae8e4d4fbe9b6f5e0b07100d
42257,https://github.com/jasonwu0731/ToD-BERT,swh:1:snp:e6c1a710ddd48dcec86f735f8673e75b5292ed5e
42233,https://github.com/dataiku-research/cardinal,swh:1:snp:dfef7da7bd392319bf9247875a113b85d0cd2a82
42228,https://github.com/pnnl/torchntk,swh:1:snp:c41979c198eb3f99b3bb40bcd15ce2aa1bf500cc
42219,https://github.com/karldaeubel/RingLoading,swh:1:snp:28a3f0b37530279f860d11b0126aa8a18dc612d1
42198,https://github.com/adbharadwaj/graphspace-python/,swh:1:snp:6b75dd3967102b41eefd2d125f42b6839ee36a64
42172,https://github.com/youmisuk/CURobustML/,swh:1:snp:07930629d65cd2f7906774915ee6c8bd987d2cba
42169,https://gitlab.bsc.es/gsaxena/biofvm_x,swh:1:snp:3239791ec90ebad2ed564db98e27b3172eb77aa8
42163,https://github.com/trixi-framework/ReadVTK.jl,swh:1:snp:825e8173263b0a273d9d75eb63ac5603a324b06a
42147,https://github.com/Anaphory/lexedata/,swh:1:snp:7cb5aa1578bb1a19bf5a201ee6dad9ebfff3f36f
42145,https://github.com/mithun218/GiNaCDE,swh:1:snp:cdff67f54e8a932a3c940db295d4eb76558abbcc
42143,https://github.com/moinnadeem/StereoSet,swh:1:snp:ae10a93567827ea0b439d7f13ccacdeb41b39ab8
42123,https://github.com/gamarcad/paper-samba-code,swh:1:snp:bfa4a5610069baf6b4629ca2540811cf19322c8e
42117,https://github.com/megagonlabs/opiniondigest,swh:1:snp:b4bfc4c565f97feaaac1342c52e767b105a1e6d9
42116,https://github.com/ThomasScialom/MLSUM,swh:1:snp:e796eca295aa2b5b7d49e8f8317225c4052f9f8d
42114,https://github.com/yg211/acl20-ref-free-eval,swh:1:snp:d8483b1a9b1d812beb267ebb7564fd31e051c974
42113,https://github.com/esdurmus/feqa,swh:1:snp:cb7d1aa3408314d25fa7d6328b20a67fa10cfa11
42110,https://github.com/fajri91/ffci,swh:1:snp:09c4d154546c4789eefb1a7ed033705a06d91943
42103,https://git.mst.edu/acil-group/rFuzzyART,swh:1:snp:fcac27fb004a6dc06941c7191a85ba9bbd4e0254
42101,https://github.com/uw-comphys/opencmp,swh:1:snp:543102421dbac98e8bba0e66ee586878bc53e322
42099,https://github.com/researchkit/researchkit,swh:1:snp:50c42a7cf37c2229ef9d253d4eb1a925fdb54bb9
42066,https://github.com/ZeinabAghahadi/Syllogistic-Commonsense-Reasoning,swh:1:snp:957c2ce93c38b0027bff3c766241a5f0ef5df20f
42065,https://github.com/EmoryMLIP/OT-Flow,swh:1:snp:edb0927032c9f04ccbdddc9993092bddf45bbb11
42057,https://github.com/matteofrigo5/HPC_ReverseAugmentedConstrained/,swh:1:snp:5f35daf596774813c25b4b6166457e15679fbf67
42055,https://github.com/jp2011/bip-pde-vi,swh:1:snp:4f87f5848cf1ca3f9e15198ac3743461b2c37fc8
42051,https://gitlab.lrz.de/nanoshock/ALPACA,swh:1:snp:c89ed81574cbc998eda2b1d9ac42139d3a73aba0
42042,https://github.com/byeongsuyu/StdPairs,swh:1:snp:9810a8b52423fd8e21ee0fc3ab37fdfc18324c77
42035,https://github.com/natechols/xtal.js/,swh:1:snp:e21c79a2e74286988c3b5177dbe6022b584d812d
42027,https://github.com/project-gemmi/gemmi/,swh:1:snp:4ac2fde55a8a52d4b242fdc851b84e70bcd807e6
41996,https://github.com/LinjianMa/AutoHOOT,swh:1:snp:b041e418192d3398237c3e0c577efd33bcc89ca7
41984,https://github.com/JuntaoHuang/multiscale-chemical-reaction,swh:1:snp:1c2e58a4a792d30f2afb73d882d52d2ed639181d
41963,https://gitlab.crans.org/leger/wmixnet,swh:1:snp:10bc89475089833b0801a7b9bf1853d92d8d9472
41920,https://github.com/zahraatashgahi/QuickSelection,swh:1:snp:f0958e6eca2defcc4cd1922dc61c9495362dae42
41917,https://github.com/qcydm/VGAER,swh:1:snp:08fb9a667d88b718a031159f5b97fb02135aac37
41894,https://github.com/sys-bio/sbmldiagrams,swh:1:snp:a495f91a4fb56753915b710e9c3b1b4828c2fb51
41891,https://github.com/r5by/pigeon,swh:1:snp:f74a9adc9478723d726b8cae44441260e15476d9
41883,https://github.com/futianfan/mimosa,swh:1:snp:42b2a755dc45a3fb5663ee3db2c94daa57be801a
41819,http://www.lix.polytechnique.fr/Labo/Pierrick.Gaudry/NTLJac2/,swh:1:snp:8e2f7ff383f506c156cd779fb0b0c2fa258acf43
41814,https://github.com/HHansi/Embed2Detect,swh:1:snp:eb081d6ee3c1969ad197521fef89302e91fe6809
41751,https://github.com/spencerwoody/possum,swh:1:snp:a34c41e756aaced2c76c4eb062ce4bab0bb6f4ee
41223,https://gitlab.kitware.com/LBM/lattice-boltzmann-solver,swh:1:snp:df72b102fd36b693602e5c1232d7e5ee7e53bd32
41083,https://github.com/maximaximal/Paracooba,swh:1:snp:b03af263763d85d4a6d51ea21c1a63dd311bb31d
41062,https://gitlab.com/liangzha/APT-MCMC,swh:1:snp:47004b90e2dd8e4a4eca5bbdfd4bcd0ded9476ee
41046,https://github.com/Juice-jl/Juice.jl,swh:1:snp:3a14d0f77374fb4cae2b8300de5395079b77d877
41041,https://github.com/cmbant/CAMB/,swh:1:snp:e0f2c10733bb8f6ad6f5de756138e4f6c86e3659
45044,https://github.com/sotillo19/JFML,swh:1:snp:fe5c24f4facec5a0234e2d9ecabedb474cc7f0d2
45037,https://github.com/opencv/cvat,swh:1:snp:00b6f97c847d1694ef2de4215a7475cb5a858bbb
45035,https://github.com/mpi4jax/mpi4jax,swh:1:snp:eb01368d61146d58fad4f44b64c60d9aff2baf81
45034,https://github.com/trustimaging/stride,swh:1:snp:d72b39526feb094a352ee703f7fc0329517997eb
45032,https://github.com/ucl-bug/jaxdf,swh:1:snp:d36b6a1a04a8edeb243fab8a7d2e1710c049eb72
45026,https://github.com/ucl-bug/jwave,swh:1:snp:90efb92e793aa8b73945e7e4bdb102f53f5f4cbd
45023,https://github.com/jwieckowski/pyifdm,swh:1:snp:b407849b2c0adb4248d06d93e7e14e3ae6dc7ad2
45022,https://github.com/rubenperezm/ChatbotSQL,swh:1:snp:19f56385b98378554284405dc64e8daebd0bc4fa
45020,https://github.com/RTXI/rtxi,swh:1:snp:ea160b1f926e093518aecc2f3e839024a67e8750
45009,https://github.com/timofeymukha/libWallModelledLES,swh:1:snp:410a3902bd1cca73d3c653697347b25e74f5c174
44994,https://github.com/walaj/SeqLib,swh:1:snp:3a11e9ec46b4e7fec5095e853b19b9ed23998175
44987,https://github.com/zheminzhou/SPARSE,swh:1:snp:bca25a36da6b7b6db3e1d10c7ef68a5b0746edff
44984,https://github.com/seqan/flexbar,swh:1:snp:5b5e724527af62ca05f687ebd1e9bd9f5e68b3e5
44983,https://github.com/shikijs/shiki,swh:1:snp:62ff4cfdc118d9b5a7a7ad0f04f68997ce5317dd
44980,https://github.com/PySimpleGUI/PySimpleGUI,swh:1:snp:924918cad7cb38d33e77e0c448d5bc0e8e9085e5
44975,https://github.com/cran/jmBIG,swh:1:snp:8bb1ea605211c708bef75d186de788bdfe647e18
44973,https://github.com/cran/nasapower,swh:1:snp:f06ea208bc83b22c40344df11784f523884469d3
44967,https://github.com/fzi-forschungszentrum-informatik/TSInterpret,swh:1:snp:a0f9e5167a58f29391bd5d8f94e5d99a6ab4e90b
44965,https://github.com/jenpaulhus/decompose-jacobians,swh:1:snp:f6cecdd51c5543b97a7fb8fede3b4606e28f19eb
44962,https://github.com/math-comp/finmap,swh:1:snp:61fffff36e591e95ac51826337819e4a3e382df7
44961,https://github.com/eprover/PyRes,swh:1:snp:6a5bc7d2c12ac658140df1c88423606fd47cb96c
44956,https://github.com/SciML/StructuralIdentifiability.jl,swh:1:snp:0fa5fd24b6ea0c3c07572044041f3ae130bbf9d8
44953,https://github.com/leinkemmer/Ensign,swh:1:snp:161205f41158a461c2c94a09520f487f083d1347
44948,https://github.com/hukkin/tomli,swh:1:snp:6aca8f2514f20341dfa61c337a171dd22a08af35
44942,https://github.com/homalg-project/CAP_project,swh:1:snp:037c1c21764110fe789413b3bc5dad92dba2e950
44800,https://github.com/phbasler/BSMPT,swh:1:snp:14fea74671b636a690b728060604b77fdf2db5d4
44797,https://github.com/comscope/ComDMFT,swh:1:snp:883392302b023db26e0a3c73a842680280e29b28
44795,https://github.com/JuliaLinearAlgebra/IterativeSolvers.jl,swh:1:snp:ae4578c6c1ecf9085293c4c6194a0b73c6ee90a6
44791,https://github.com/openfheorg/openfhe-development,swh:1:snp:38e567df2c2a1c86df0194b079081264ea065229
44619,https://github.com/trixi-framework/HOHQMesh,swh:1:snp:b08fe2adbb8fae6bb7f1efb821e13584bacf8474
44618,https://github.com/loganoz/horses3d,swh:1:snp:5eac9e5f2010d5a6ee5b8ecc107cd9c05a0a887f
44613,https://github.com/uptane/uptane-standard,swh:1:snp:24f7c3b17965f4f7408f09d7b304d5fed39b61f7
44612,https://github.com/Ettercap/ettercap,swh:1:snp:c1792f1702ca462085bdb33cffe6b36fb4a8773f
44610,https://github.com/meta-logic/sequoia,swh:1:snp:3a95e7f97d97b27fd3d69166907b0346e0bf7bd0
44609,https://github.com/fvaleye/tracarbon,swh:1:snp:c9d27b8bbef30d739b36571a86ca51d5d9b39484
44608,https://github.com/mlco2/codecarbon,swh:1:snp:3b25b9160e5590fe78b619e20ad9c1bf466679ae
44607,https://github.com/lfwa/carbontracker,swh:1:snp:c6524ca053aa8bea92aea537b2d6c95b22878fd7
44604,https://github.com/sb-ai-lab/Eco2AI,swh:1:snp:4d0bda77b58c0e0eb2c120b0486e6a187501478a
44595,https://github.com/autonomy-and-verification-uol/ROSMonitoring,swh:1:snp:0dad1f82678675114a193f5d1ea9af50e5315400
44594,https://github.com/ros-planning/navigation2,swh:1:snp:c6d1f69f860e965c376ccc53f79204952b03f5d6
44592,https://github.com/masaochi/TC,swh:1:snp:321b5cedf6e6f0826d68a2f04cb158b5ae8cfce9
44587,https://github.com/ac-dias/wantibexos,swh:1:snp:c9515919b4ccd80dace02fca3fcd5bf1e28f86a4
44571,https://github.com/quantumlib/qsim,swh:1:snp:dd0404b8cee5f6d704ffb637e0c1acae872506b0
44565,https://github.com/Dvermetten/BIAS,swh:1:snp:563b1938f2bca06d874d39573fb97c5542703029
44560,https://github.com/nasa/bingo,swh:1:snp:d95fa905d8e50511c300a734683950dde527c94f
44555,https://github.com/osu-crypto/libOTe,swh:1:snp:3272222b09d211edf6a7f63531e1abc86e75f7e3
44549,https://github.com/MRChemSoft/vampyr,swh:1:snp:d8c7ae070071e2d904e5aa6e8c20e50492bfcc02
44548,https://github.com/MRChemSoft/mrcpp,swh:1:snp:8bcfeb4d63f9e4a4f90cb677f56fee91459a83db
44547,https://github.com/felipefr/micmacsfenics,swh:1:snp:8f3d70bf4f3df77548d379848f87cfd0e9796040
44546,https://github.com/multiphenics/multiphenics,swh:1:snp:47d487729fead7a219c38bcbff3bbc93f612a761
44543,https://github.com/exadg/exadg,swh:1:snp:ec1928646f715fd3e0b04978fd8fd1a4b6f3d6ec
44537,https://github.com/cran/RESI,swh:1:snp:5cac189697138ccf5847311465bd3bf688729dd1
44531,https://github.com/cran/gMCPLite,swh:1:snp:53cd58aa4c310655ba4b3dfc9a1b1ce55ca03600
44528,https://github.com/cran/CompAREdesign,swh:1:snp:878d7df0ac06c95d794076887b4a7587105a1c54
44527,https://github.com/cran/nlraa,swh:1:snp:57c68754c8dbea684727cf24c88e532e90069db4
44526,https://github.com/cran/nlive,swh:1:snp:89763a2422f9de0f48cce618ec75e025166a4d1e
44525,https://github.com/cran/lqmix,swh:1:snp:4fd3bc694978a02f50cadd1e4c41f4e79fabc080
44519,https://github.com/skiptoniam/ecomix,swh:1:snp:79e7864fcccf83f4928546a02423fea5b2d752d0
44517,https://github.com/cran/pdynmc,swh:1:snp:d91faf388a9c7f8dc9938c02c3e0db2a9ddd64fc
44516,https://github.com/dazhwu/pydynpd,swh:1:snp:ce48e1f8e15447a544842915cc932fe84e118374
44515,https://github.com/felixchenier/kineticstoolkit,swh:1:snp:4534cda4af73d0d2bfe18fb0ad19f7bf1f6fd98e
44513,https://github.com/alexkaz2/hexalattice,swh:1:snp:db77cc747913d831a62ec5379530a849272e4f3f
44510,https://github.com/copasi/basico,swh:1:snp:2aef91a7a0d11a23e9d14ce36a5aeb5a3f494d44
44509,https://github.com/ROBACON/mobspy,swh:1:snp:aa4c81b4b2f56a7326287774ae82856dd16ae7a8
44499,https://github.com/oscarperpinan/bookvis,swh:1:snp:4c7517232c2dd4a4b5f4a58a02b6de3bfafe3de3
44489,https://github.com/moderndive/ModernDive_book,swh:1:snp:d76c22aee5bb823b7ff464aa950f565472856a8d
44466,https://github.com/cran/estmeansd,swh:1:snp:ad0d6895412825f71243acbb982b4448a132c917
44465,https://github.com/cran/metamedian,swh:1:snp:192dd03bf28e7ddaef131d8eddb629e1ba278877
44464,https://github.com/JuliaMath/IntervalSets.jl,swh:1:snp:d8a6608c8e28d27f952deb6d2057d3bc7ecbe261
44463,https://github.com/JuliaApproximation/DomainSets.jl,swh:1:snp:766d79ff31f1c7a97327f6579dee20dc630361b7
44457,https://github.com/rcalxrc08/FinancialMonteCarlo.jl,swh:1:snp:18b8f4032b44bcc24bb7bd51c3729dc48399b15a
44451,https://github.com/ropensci/DoOR.functions,swh:1:snp:1566d76c476d3da7d77bf9d4afa8a955b7c65d80
44447,https://github.com/galizia-lab/pyview,swh:1:snp:bb4c08b46e6b5bcfdfe5ee35b63af3344ffa0a90
44436,https://github.com/tianyuan168326/EAN-Pytorch,swh:1:snp:13318687a1381993ea910e8bf4ad4108e09eadb9
44433,https://github.com/difuture-lmu/dsBinVal,swh:1:snp:271159ae72f42134e0c3eadec7ed622fe3b8382f
44431,https://github.com/blind-contours/CVtreeMLE,swh:1:snp:0b2a71b17c5b9d7c4bd3a0a6c7d5a726cd7dc487
44429,https://github.com/jameskermode/f90wrap,swh:1:snp:639e1cd2305e04618511c4f70839f171c49e94fe
44425,https://github.com/pyeve/cerberus,swh:1:snp:a1af4488273d0857d02c56f9fcbc08d5cdbc17f2
44422,https://github.com/jonaselgammal/GPry,swh:1:snp:3bab0f6dd4e8b82e004acd56987699dac6bb8cf0
44421,https://github.com/arjunsavel/SImMER,swh:1:snp:5177e0aafe66d5ec0af39c7b5e874ad8e56589b8
44420,https://github.com/astrosupriyo/pyTANSPEC,swh:1:snp:25c2f28478f9a0e3751f654ab5c63df1517efe14
44411,https://github.com/pigimonaco/Pinocchio,swh:1:snp:008dd824f65433178801a7b12e0daf109e42230f
44409,https://github.com/franciscovillaescusa/Quijote-simulations,swh:1:snp:7f0d9019c000c035ee51a15ca4479f820723eb86
44402,https://github.com/tobias-liaudat/wf-psf,swh:1:snp:4ccaa435a1781460073f5e149a75e8935d738fd8
44397,https://github.com/alessiospuriomancini/cosmopower,swh:1:snp:85721e7c92aaa731524e3e36149dfe1f3525b3e7
44396,https://github.com/undark-lab/swyft,swh:1:snp:3e8303989e742536a2b6518e95411da1e3d01dd3
44391,https://github.com/cran/symengine,swh:1:snp:f18dfcf560dbaf9a2fcda0df48655afdc38ba059
44384,https://github.com/cran/fnets,swh:1:snp:7dc44440ab997803275ad4df4caeec670fb70e8a
44382,https://github.com/cran/posterior,swh:1:snp:e05984758b2a25075478737bd1837a9c22de7c36
44380,https://github.com/cran/fixest,swh:1:snp:16607b8dba53f3affaaed4f5c629ae80debe3564
44379,https://github.com/cran/dynamite,swh:1:snp:d182544cc40f4795a90c3cac3ab677c195467736
44372,https://github.com/cran/DynForest,swh:1:snp:eb769e8ea7a346da3f19b332cf72bdbe0b17745e
44370,https://github.com/Unbabel/COMET,swh:1:snp:a59b7f26c768dd2877865c91b974489326591d30
44368,https://github.com/rethinkdb/rethinkdb,swh:1:snp:7923ba7667724b985c4b874793307b25fd72f2b3
44217,https://github.com/cran/cglasso,swh:1:snp:e2b7d39126ff3264c2fbd42704a679c0a44c32b2
44204,https://github.com/sybila/eBCSgen,swh:1:snp:fe349a7fc9cd215d87de4c956282aaa825c411a1
44199,https://github.com/verivital/nnv,swh:1:snp:17561d32d2581a8e2cc29cea7ba58135cae525ed
44062,https://github.com/cran/RcmdrPlugin.DCCV,swh:1:snp:955aec1dfa2c36d87287f171a35a47582672fdd3
43230,https://github.com/llyang/fastgpl,swh:1:snp:9f7487f7854349e36f99d9daa69bc0d2b6a36a75
43223,https://github.com/MachineLearningVisionRG/fsmpy,swh:1:snp:bc27c53c17d7ff994558b2d5ccb65db763895cde
44189,https://github.com/cicirello/Chips-n-Salsa,swh:1:snp:b13dff550751ca4aa774932b9d7682ec500d1813
44185,https://github.com/QuantumBFS/LuxurySparse.jl,swh:1:snp:d501afbf30079df24a3d64562f6f63ca57fdcd0f
44184,https://github.com/JuliaArrays/StaticArrays.jl,swh:1:snp:e314b6cef9c4c91eca2728bd6125f5885a264954
44181,https://github.com/QuantumBFS/ZXCalculus.jl,swh:1:snp:fa8703b285f10e1b4ce31697b95dbd7cbc08f480
44178,https://github.com/JuliaSpace/SatelliteToolbox.jl,swh:1:snp:5fa0a25dae56c4e77370408a0d663e92d49f4efd
44176,https://github.com/SciFracX/FractionalDiffEq.jl,swh:1:snp:c6bdf29855990048284a5c3008308f00d5e3eb4b
44175,https://github.com/JuliaTurkuDataScience/FdeSolver.jl,swh:1:snp:4e48fa31939336c8beac620a5b0217b703271f65
44173,https://github.com/xroche/httrack,swh:1:snp:5e8b1909eab5dbf0b7e70685bcf2d7d6154a3b3d
44168,https://github.com/textstat/textstat,swh:1:snp:7fb66123d453b8667a382dfd766fcc9ee0a0b287
44167,https://github.com/HLasse/TextDescriptives,swh:1:snp:31696735bcb022302047ce938418b31209515271
44164,https://github.com/pmgbergen/DarSIA,swh:1:snp:9ae82c9963c8c7786838bdab608a1503df29ab1c
44163,https://github.com/cran/DImodels,swh:1:snp:9646f5eade1b005c66023f45ebf84db08765543b
44160,https://github.com/MITGameLab/OpenRelativity,swh:1:snp:a85b16923ea5300d9706160818df84916021b017
44142,https://github.com/oscar-system/Polymake.jl,swh:1:snp:e5728de330d394e0ce5076a95ee481e292e9a03a
44140,https://github.com/finsberg/pulse,swh:1:snp:3f34b1caf04db5147412bbb07e6a96d371f606a5
44139,https://github.com/ComputationalPhysiology/simcardems,swh:1:snp:11448a9bada75dc7f51db58a8c5af777a330a64a
44136,https://github.com/xinyuanc91/Gated-GAN,swh:1:snp:a82a33ec6b6bb853d773ae1f9a8e5c3b3263ed04
44135,https://github.com/tianlinxu312/dgcit,swh:1:snp:59def8bae5679b643fc542828a01370301536277
44131,https://github.com/haosulab/SAPIEN,swh:1:snp:56da21809af0e38b6b84e977e12a022e18196759
44130,https://github.com/allenai/allenact,swh:1:snp:ca43008f08841dbec36510a1ab7bc739e5262688
44129,https://github.com/facebookresearch/habitat-lab,swh:1:snp:2994dabffd348e9528a956e264dd3aae0205bad0
44123,https://github.com/alexa/teach,swh:1:snp:ec7be49ce4e9db2ac0503c368bb37f05f2c83862
44120,https://github.com/StanfordVL/iGibson,swh:1:snp:536b63f23a2142af64b96e237c433870549fc4f9
44096,https://github.com/JonathanSalwan/Triton,swh:1:snp:5f7bd964851e4a7b110293c6b656cf5cf6dfdd50
44091,https://github.com/industrial-optimization-group/DESDEO,swh:1:snp:66901d76cbd4c3eab7d02db7cd931a66c3138ce5
44087,https://github.com/borzacchiello/seninja,swh:1:snp:65eb5ee982bc87b28312c3cdaa3571af91d35201
44085,https://github.com/ftheberge/GraphMiningNotebooks,swh:1:snp:59599cef31f9b875f5b6d72c7008392b48c4826b
44084,https://github.com/dssg/aequitas,swh:1:snp:c3b563b6eb2d7316dfed109a84a02524bf33c49b
43788,https://github.com/nrosjat/dynamic-synchronization-toolbox,swh:1:snp:34553d9f362b950a82691ed6503994b3b3ff294b
43785,https://github.com/pymedphys/pymedphys,swh:1:snp:149bb1fc9da2f7f9ddfce1dbdb857f168b8f581b
43778,https://github.com/ecmwf/atlas,swh:1:snp:88312afdca6c5505fb985930c29fa0a8873b48f4
43773,https://github.com/cran/devEMF,swh:1:snp:6d609111107e18be1856f29eb3021223c478cf70
43769,https://github.com/predict-idlab/tsflex,swh:1:snp:33edc6cd24f2644b9188bb1b52ae44add03916fe
43764,https://github.com/ProfMJSimpson/Exit_time,swh:1:snp:ce38fb1e7fe8ccf3e1a48612471efea2add83091
43755,https://github.com/gems-uff/noworkflow,swh:1:snp:96d0de98961372325982b20e037b5bb4e82b4fa0
43751,https://github.com/ap--/python-seabreeze,swh:1:snp:b5c53d3146b7ee0d5983542d566be1858164f7c6
43746,https://github.com/CONMAD-CIDESIMX/MaSMaker,swh:1:snp:7fc5d96406bb66131de79c0f4f6e003c8d069e01
43743,https://github.com/eamontoyaa/pysigmap,swh:1:snp:d7e35b03741935757ec43c1b1a372d4cf5cd31a6
43740,https://github.com/anntzer/mplcursors,swh:1:snp:86d00259a75957cf19716a5b7540f71be21e1dc6
43738,https://github.com/dagghe/PyOMA,swh:1:snp:aede3fd138f8358b94d30dbd3ebe4d9bf18b2f39
43722,https://github.com/pyinstaller/pyinstaller,swh:1:snp:6af4f5e86b9ede60a21328b4c75fff47bb001feb
43718,https://github.com/mailemccann/coastalimagelib,swh:1:snp:fe70dcf5aaa19016c16b9e5980a3cf0c8c13ab8f
43710,https://github.com/cran/RStoolbox,swh:1:snp:fc2d79e4b93bdc5b58ede815bb96e3392a2fa820
43707,https://github.com/scottfr/simulation,swh:1:snp:0d8191c42c0dbae76d26c0497ec9b1d62238d49e
43706,https://github.com/bpowers/simlin,swh:1:snp:373b94a3e08ff87756c1c2348486ad09ab377a66
43704,https://github.com/climateinteractive/SDEverywhere,swh:1:snp:93f6dccac9d9619950da4b77edbee52bb25ade9c
43703,https://github.com/SDXorg/excels2vensim,swh:1:snp:35fce7d31d8845afb07c965d9047d8915e203330
43701,https://github.com/SDXorg/pysd,swh:1:snp:1d1641232808d374529810e1852df60efef29d58
43692,https://github.com/jmejia8/Metaheuristics.jl,swh:1:snp:99ab7169cf2fe3cf8f3bdbc28cf6d88874c55565
43687,https://github.com/UDST/urbansim,swh:1:snp:b387cf3e11ae77dde10ff276ba62e305570de9f1
43680,https://github.com/cran/AMR,swh:1:snp:48d8a98cc5db96f5a9f8777b22eba67643614e1d
43674,https://github.com/cran/BGVAR,swh:1:snp:28e8104f76cbe9bd71074088da4232cc4df47b33
43672,https://github.com/Eomys/pyleecan,swh:1:snp:309d1b3bf4caf8719635ed72824ddc0ff07115e6
43670,https://github.com/cran/R6causal,swh:1:snp:3128b191513d65c0041d707e6b22326d1f6c32b6
43669,https://github.com/cran/cfid,swh:1:snp:b517b79963a5d315c4a44bffbce9c0eabaa8848e
43659,https://github.com/infiniteopt/InfiniteOpt.jl,swh:1:snp:763d709e8032d32caab0e2bc2948f9bb5536bc9b
43530,https://github.com/cran/HeteroGGM,swh:1:snp:5d81e0d662b1788681e8c56c97efeb5dc928fb61
43510,https://github.com/pikelang/Pike,swh:1:snp:0b8cd26543632727ab1a74c9182fd2c82740edd1
43507,https://github.com/cran/poorman,swh:1:snp:c5b57c2f10316a0f27666a6df787ba119bae96f6
43506,https://github.com/cran/datawizard,swh:1:snp:3e13168f91447756af449825407a6cffc6a6782e
43501,https://github.com/issp-center-dev/DCore,swh:1:snp:438b8a9eb4f021d9ef0cf31bff8bf38eeeb36e25
43496,https://github.com/issp-center-dev/TeNeS,swh:1:snp:e6579d37fdec5f4fce1fc7ed6307b52f0be450c1
43493,https://github.com/issp-center-dev/2DMAT,swh:1:snp:86d301c6ed2bee26ea8dd52f5fdf126d9bbfc2bc
43488,https://github.com/ttadano/alamode,swh:1:snp:ec201d5a517a2e321a26d5919b73561b5d21b956
43487,https://github.com/easybuilders/easybuild,swh:1:snp:569566d4000b8ded40b3c5eb6e658339b94ab6a5
43485,https://github.com/haasad/PyPardisoProject,swh:1:snp:38acea03fbfe62347cbae578b8989710e5c92cce
43475,https://github.com/NLeSC/litstudy,swh:1:snp:a2314b7031ea0b5079662c2de8da2e7ff94f1596
43474,https://github.com/cran/pedtools,swh:1:snp:33dc20cbb5b558fd8d1556ffdb428b322ee12969
43438,https://github.com/MIC-DKFZ/nnUNet,swh:1:snp:9427c5f997ec30bae92b0be7c31e3090c6eb00ab
43432,https://github.com/MIC-DKFZ/nnDetection,swh:1:snp:c1e9ba1ca1fe451c582ec797afa612553d4f1ce6
43424,https://github.com/AequilibraE/aequilibrae,swh:1:snp:9aa18f805d3a95af46fe7fb2d0b6c213bcab8f59
43421,https://github.com/DESI-UR/VAST,swh:1:snp:9a522e903f87239dda143fd2e22d5a31ce90a27d
43417,https://github.com/optimatorlab/veroviz,swh:1:snp:4bebfd401ec42abafe17552c0bc5f1b02b7194a5
43416,https://github.com/gvernard/molet,swh:1:snp:5c9214a816cac560eb4ea37dd75da9faebfccb92
43415,https://github.com/austinpeel/herculens,swh:1:snp:ca0f6126844a7d0936ffe65cc0909af97136756d
43412,https://github.com/cran/aorsf,swh:1:snp:ce76147e387425fb324fd1d7db31db0942ae940b
43408,https://github.com/cran/tsibble,swh:1:snp:35a6cdd3b9ce271434c46099ed251146e32052f3
43401,https://github.com/cran/netrankr,swh:1:snp:5d6889edefcca4ca9624c8441fb210381048f7d7
43091,https://github.com/maize-genetics/rTASSEL,swh:1:snp:4db115d7484244624a55509a69fcf49052640254
43087,https://github.com/mimiframework/Mimi.jl,swh:1:snp:b47a85e2d5e148e74ca5d66848f28349cd17324e
43086,https://github.com/raddleverse/MimiBRICK.jl,swh:1:snp:937bdf7bab754624c3186771f4fc75bf1691e54a
43083,https://github.com/mapbox/mercantile,swh:1:snp:4133692e75ac78867be469746b147256dc41b415
43082,https://github.com/uber/h3-py,swh:1:snp:06ec57cd2c5dad59fcc96421f03ab9b6c1d68255
43080,https://github.com/siavash-saki/tesspy,swh:1:snp:f7797b72b0d567212184b03ed7641bcd6fe7f687
43075,https://github.com/wind-python/windpowerlib,swh:1:snp:1e43e4b2e0d5c7fcff883da6b4f19364e788b153
43056,https://github.com/cran/crosstable,swh:1:snp:b8d748a72b69b7ff7be9bcfa5ad0ca696a515677
43047,https://github.com/MAIF/eurybia,swh:1:snp:ca7ed26c6949bef1be260473d95f73fa86533618
43046,https://github.com/NannyML/nannyml,swh:1:snp:6c1b1016619df22de8ae8a5096d4ae9c3255f563
43045,https://github.com/mitre/menelaus,swh:1:snp:aef803d07f2ff04165ce2e55f1702030a49cbca6
43044,https://github.com/evidentlyai/evidently,swh:1:snp:5316e673e89709cd309097cb95c47ddbd65634d5
43043,https://github.com/deepchecks/deepchecks,swh:1:snp:2db01cbc026a9fcd1dbb9e8093d6639decd44acc
43035,https://github.com/isadoranun/FATS,swh:1:snp:702a7ee9a26081db2cf2ecb4309e35870fcb16df
43033,https://github.com/fraunhoferportugal/tsfel,swh:1:snp:b8b2e9518af13982127de9e512cebf03ac4e6664
43032,https://github.com/facebookresearch/Kats,swh:1:snp:8eb65d251eee7adbb8a78b4b6d73210b4dc81139
43030,https://github.com/cran/rticles,swh:1:snp:37e8ca165022ad119bc2c05ee67e0a14726fa2ba
43025,https://github.com/SciML/GlobalSensitivity.jl,swh:1:snp:4622c2f527bca73c7774fd231a0ee5f28b920f7e
43023,https://github.com/modflowpy/flopy,swh:1:snp:60a09718de76082ae6e07ab6e5a11e9cb4021e41
43012,https://github.com/cran/MatrixModels,swh:1:snp:1d3db69a2c89e30d84e8610a69ec60d397278c50
43010,https://github.com/mutationpp/Mutationpp,swh:1:snp:19a07ed8abcb5c98cd9ff65319107bf6b1b70fdf
43003,https://github.com/waldronlab/TCGAutils,swh:1:snp:1c2db185b170d79f12045741d0efaaf236c6083d
29054,https://github.com/Halmaris/mfds,swh:1:snp:ad0a3120aacb15ddfe04bacbf9f044aaba16c3b4
29057,https://github.com/pbenner/modhmm,swh:1:snp:d34961c1e3a37c1a9c50edb84ec6644b3ea7fbb6
29068,https://github.com/paralab/Dendro-5.01,swh:1:snp:372f31db6a177d9bf527fea4c452c8920c1af7d5
29074,https://github.com/HEPTHools/Adinkra,swh:1:snp:88e2befbeaad31a3dd78fc1fa9287dbdea1273b7
29077,https://github.com/jrclogic/SMCDEL,swh:1:snp:9ad54832135a834d5353a4546f3de512337fa526
29078,https://github.com/m4lvin/HasCacBDD,swh:1:snp:7dd01d59b706c12fa07ff656a6cb9cabab289153
29083,https://github.com/cran/ncdf4,swh:1:snp:3d9c356c474230b0d8b915967969dcdc383179ab
29087,https://github.com/cran/ggeffects,swh:1:snp:35d7ff588f382866560053a51a9044a31c877fe7
29089,https://github.com/salabim/salabim,swh:1:snp:d177b9b01cfc2246911b1e6e39e6258f7405ff62
29090,https://github.com/BenLauwens/SimJulia.jl,swh:1:snp:80d5ff05a62eb93a6828a0764e30434b9f87e019
29095,https://github.com/inmybrain/NPCovSepTest,swh:1:snp:dc082fd8aaf0c4775721fce21c55092806676848
29096,https://github.com/veselatereza/tgpc,swh:1:snp:57716f82d4c3b9b1907c23cc64b5bbc24350e74b
29098,https://github.com/laempy/pyoints,swh:1:snp:fb2bb082099c86c1ea13c43be305f7e68c041136
29101,https://github.com/intel-isl/Open3D,swh:1:snp:790fff01346c3099de436cf918967c1f5c42d884
29102,https://github.com/mancellin/capytaine,swh:1:snp:6a522df6f13970c602b93df2a00be9ed64e24107
29103,https://github.com/LHEEA/meshmagick,swh:1:snp:66bd26f2d642a2d98f9779ef469b48459d0ae34c
29104,https://github.com/mir-am/LightTwinSVM,swh:1:snp:95b73ccd72a12ef0bfbd58315fd9ff4967dbd1f0
29106,https://github.com/Hoosier-Clusters/clusim,swh:1:snp:b577a7b1b076ef3bc4486acf3d7f18c9fa298efa
29108,https://github.com/mikldk/malan,swh:1:snp:1b98c61d5c3fc8d0401fd84ba789d5d8539a31c3
29112,https://github.com/piermorel/gramm,swh:1:snp:e92f3beb3b66e07b6df814fc609e46a531493935
29113,https://github.com/cran/ClimDown,swh:1:snp:f1a5c776805c10309f82b1a6f75f0f0dba92c6fc
29114,https://github.com/ResidentMario/missingno,swh:1:snp:8dc7aed46833d49e0aa730d9fe9393d2d1d5521b
29115,https://github.com/cran/weathercan,swh:1:snp:fef79acb9303f00b13a3f75cbb9f653b26af3c2d
29116,https://github.com/csu-hmc/opty,swh:1:snp:4f095bccd0622712358f6f5552444443ae55a12f
29117,https://github.com/ayonga/frost-dev,swh:1:snp:f08b7bfaaa81d3496d200fd392fc23bfb2e2e7a0
29120,https://github.com/tlverse/origami,swh:1:snp:6355614c889f6b5cd8a101662b3fd4ca47a519b1
29122,https://github.com/openclimatedata/pymagicc,swh:1:snp:b66460cd88dab3ac2e9f33f775af7cb1875681b3
29124,https://github.com/openclimatedata/pyhector,swh:1:snp:565149fe176a04a2f0c59da7ca052c81bd7d86ff
29125,https://github.com/OMS-NetZero/FAIR,swh:1:snp:7bb5e2c14a5bcec33523ab9946c643a5a70834b0
29126,https://github.com/tgasser/OSCAR,swh:1:snp:0b064724325b0ac993521ce4c1d207124a6d6a35
29129,https://github.com/cran/hrIPW,swh:1:snp:c6af2c3682db396cfaa3e9cc83e74776e7dbcd16
29132,https://github.com/juliannechung/genHyBR,swh:1:snp:200283107acefd47952df0e3da0b62012d34afd8
29133,https://github.com/chentianran/libtropicana,swh:1:snp:3d2520297bfd0521528576bcc659302a4e9233ec
29145,https://github.com/AarhusCrypto/TinyLEGO,swh:1:snp:d4869b34b35d47fbdf8bdddc1016acad0caf6617
29146,https://github.com/oblivm/ObliVMLang,swh:1:snp:8ac9d955d32e6dd69bcbae8f6373cea6a268c32c
29148,https://github.com/kartik1507/GraphSC,swh:1:snp:c672d138211587aa9fc495be5229aefa595bb90f
29149,https://github.com/cran/GPoM,swh:1:snp:de906f42b8effe2aeebb42e0a05953041f452b4f
29150,https://github.com/jeffalstott/powerlaw,swh:1:snp:d795c80f160f65b7b9bd5902c2a8809178f76659
29153,https://github.com/jhhalverson/py-junctions,swh:1:snp:5d1f1ba22e4b58cbffc216c7373f58e05947b804
29155,https://github.com/andyyao95/walkr,swh:1:snp:b3d63fed96706090b5002e51c42dbefc893adaa1
29156,https://github.com/JNisk/AncesTrim,swh:1:snp:52a40fbc0a7904192de8515fa52efdea7a8446e9
29157,https://github.com/arcaravaggi/remBoot,swh:1:snp:f0ad41b8a84fbca6141c9d7a184880ed1777fc17
29158,https://github.com/migueldvb/cine,swh:1:snp:6ccbe56421e58d235783442c9885972ec20bd6a8
29159,https://github.com/hsso/crete,swh:1:snp:1e56c5262722af6c65ed6cee1141b1a6f87d92cd
29163,https://github.com/cran/hddtools,swh:1:snp:af79afe92a8b52665720f45b4f6f829b9492bca4
29165,https://github.com/cran/rnrfa,swh:1:snp:e4b0c933935c534794e90f5cd38cf928c6158b81
29166,https://github.com/ropensci/rdefra,swh:1:snp:dcfee80eb5ce3a61661384885f952c5062efa431
29167,https://github.com/cvitolo/fuse,swh:1:snp:1f3b0f398f2190b9ab8adcc57cc2eeb439191f1e
29168,https://github.com/cran/dynatopmodel,swh:1:snp:1ae2d5695d24be40f0f5c1f5e30526fd8bfb06ed
29169,https://github.com/cran/wasim,swh:1:snp:71a4631b35384fb55507343b58242dcd08bc0bde
29176,https://github.com/genomematt/survivalvolume,swh:1:snp:8a9e1f0b8f3bb9173b78c99da1c032da068e5688
29177,https://github.com/python-excel/xlrd,swh:1:snp:0540a3689956cacf731e10b06a5fe4b4c723adea
29178,https://github.com/mpld3/mpld3,swh:1:snp:b33d07dccaa07f4702146eafca81e595ffc4a4b3
29180,https://github.com/eclipse/golo-lang,swh:1:snp:36e608029b442f0ca063aa74d88c2709b2c4f022
29181,https://github.com/diana-hep/carl,swh:1:snp:2e23c1579037c545344656be88e588258bbd959a
29188,https://github.com/jakevdp/mst_clustering,swh:1:snp:2cc8cf298c51c848b0e4cae5cd49ab9e5f565e45
29189,https://github.com/genomematt/xenomapper,swh:1:snp:2b805772f0b2f31c7f7b2b7efa437bccf8915378
29190,https://github.com/BenLangmead/bowtie2,swh:1:snp:997040bf5d45ff0bee582ea48565a4c83f28b674
29191,https://github.com/SimonGreenhill/phylogemetric,swh:1:snp:12310b83b7052fd6705119b36c036854f10ea83c
29192,https://github.com/Samreay/ChainConsumer,swh:1:snp:1f25efa59cc95cf795a085c6ee2b976526b73bdb
29194,https://github.com/JonathanAMichaels/hebbRNN,swh:1:snp:d804f9d440ac00592c5aa2782550aeb5b2ad6df8
29195,https://github.com/sbogutzky/PsychoPhysioPipeline,swh:1:snp:f9ef17bb5155700d30fbcc40199e10e0bdab0792
29197,https://github.com/dib-lab/sourmash,swh:1:snp:d849fbf5b7ec8861d84a0a28d8c60010f588e67f
29198,https://github.com/Dih5/xpecgen,swh:1:snp:1606c55f81aabd87d61573692721deb1efbe30bb
29199,https://github.com/chtheodoro/habfuzz,swh:1:snp:03efe374887e3e5e0ebaf44de43a7b658c5bfdb0
29215,https://github.com/ddemidov/amgcl,swh:1:snp:e3a04a63d135a20acf525b09430d45fe1043fc00
29222,https://github.com/rjolly/scas,swh:1:snp:2ca64b0bd3aa60674f633f7caf5cda24b122cf77
29258,https://github.com/cran/missSBM,swh:1:snp:4291a120dd9e62680d6d42b2d0e0417d0fc35a65
29259,https://github.com/cran/aricode,swh:1:snp:6c61c0a55f23364192bae61867135b602aac2f4a
29273,https://github.com/cran/lcopula,swh:1:snp:c21a07ab9e7ce8666425314865dd9dec37f301bc
29274,https://github.com/cran/zenplots,swh:1:snp:637ff33df87415447996e6217045d03170d08610
29275,https://github.com/cran/copulaData,swh:1:snp:121e2bb17dc1a924f551cc3691d76d0718e04b8f
29276,https://github.com/eendebakpt/oapackage,swh:1:snp:5fb0542dea9f2603a71c094c1c27d8b785dad15d
29294,https://github.com/matthieuaussal/gypsilab,swh:1:snp:1da46e5cc1dbd56265307879312b833ae023b477
29297,https://github.com/flatironinstitute/FMM3D,swh:1:snp:9729abce981a38ecadaa586592cca607d50e9542
29312,https://github.com/vahuynh/dynGENIE3,swh:1:snp:605c0bbf7a0d0d747d9833f6f25f645d1a8e67a1
29314,https://github.com/hmatsu1226/SCODE,swh:1:snp:5f9a43063d7d45068900a346d0e1c39b619b9ec6
29316,https://github.com/JRuyssinck/netter,swh:1:snp:4d1718eb81bb221ba1ba8ef34fe97b163cb8ec1f
29320,https://github.com/Luisiglesiasmartinez/BGRMI,swh:1:snp:ab2777a8c283adfe235557b5fbe235570ab018a3
29321,https://github.com/CABSEL/SINCERITIES,swh:1:snp:b5ce3ca907f45c88ead080493e299b860ed15d2e
29327,https://github.com/shaileshtripathi/sgnesR,swh:1:snp:809356b0ed4f18b36d6f7b9c8f561b0391b565ef
29336,https://github.com/cbreto/panelPomp,swh:1:snp:229acb6b1a61114254431e21d55dfb579d2202de
29337,https://github.com/BDI-pathogens/phyloscanner,swh:1:snp:a978f9d067087621bb72109ebf24e4faaabff507
29338,https://github.com/cran/socialmixr,swh:1:snp:0dff958aec9a11ac65ec89733dbdc85198bcc6c8
29353,https://github.com/caramirezal/SQUADBookChapter,swh:1:snp:22a8afe69bf876a8f054809ed22b7ffc4a8e298b
29383,https://github.com/BlackHolePerturbationToolkit/SpinWeightedSpheroidalHarmonics,swh:1:snp:849faccbe240ab21883ab54199166423626af14a
29386,https://github.com/r9y9/SPTK,swh:1:snp:828bae95f167c83231f61d9ecb4b371f8dce8737
29388,https://github.com/cran/bayes4psy,swh:1:snp:8165b364ae87cd4a869d07fb8f0312f6d0d74abc
29392,https://github.com/dit/dit,swh:1:snp:44ea4876eea08d4d1ae016154efea328afa9e50d
29394,https://github.com/cran/cvplogistic,swh:1:snp:4e33e4670c34f00d7fad5bdf548c9162ae8e0d25
29396,https://github.com/lukaszcz/coqhammer,swh:1:snp:fd9a6ed7eef27e0dadccfd4367388b0526830270
29403,https://github.com/olivertomic/hoggorm,swh:1:snp:f0eb27c4128d18e1d6b56d90591cf4ded7f92860
29404,https://github.com/olivertomic/hoggormPlot,swh:1:snp:fdaa932284c5658e06bfcafa1ed98015683477fb
29405,https://github.com/USCbiostats/sluRm,swh:1:snp:74a86d47fd5c3cd7654ba571d456febf4fdbbfc3
29406,https://github.com/cran/future.batchtools,swh:1:snp:06343bbfba74fd9fbf64a88b9ac961713d21aefe
29408,https://github.com/cran/clustermq,swh:1:snp:0c5a9acd4b7bb5d9037eedc4af270be71e17345d
29410,https://github.com/xgcm/xgcm,swh:1:snp:fbdbf7764950c991e81cb4970822d6c6455d9bb5
29412,https://github.com/fsobral/RAFF.jl,swh:1:snp:8669eb20afb9729cae18c9c13062a11c4e79e1ee
29416,https://github.com/ModelOriented/DrWhy,swh:1:snp:be5bdc3eb63e44f4a93f6ca98e60d4062aa8eebb
29418,https://github.com/cran/svglite,swh:1:snp:b4dc9afc4461434081cefac5bef79d0036c3d64a
21626,https://github.com/davidsandberg/facenet,swh:1:snp:90e8be4898939eb0de75506e30229eca33d13602
21635,https://github.com/hashicorp/vagrant,swh:1:snp:58c405638f1f2dda30b1ce206e9e6216328b832b
21636,https://github.com/bnpy/bnpy,swh:1:snp:8ed61bc4fe2f0ed99e0254c11a21c27c0cee59b2
21637,https://github.com/diging/tethne,swh:1:snp:c0c0dc472411baeb17b1d85378bcb753a5194e76
21653,https://github.com/ProjectQ-Framework/ProjectQ,swh:1:snp:21c95a0c8451b088df599b98190df4293845e697
21654,https://github.com/epiqc/ScaffCC,swh:1:snp:7eb50f12cf990a0030724453139e994df238639f
21656,https://github.com/julius-speech/julius,swh:1:snp:88d36eddab6b2caeb12ecaef2024f1f41a35fcd7
21679,https://github.com/LCAV/pyroomacoustics,swh:1:snp:ee9dd05db87287d3cb1d59e3df819228b7ef0da2
21680,https://github.com/jyhmiinlin/pynufft,swh:1:snp:680d5af001630bd3c2e3a0c76a61121b06534cd3
21681,https://github.com/andyschwarzl/gpuNUFFT,swh:1:snp:ebabf7c8eb2d5d70f30fe168ef5b6cfccb6162ab
21696,https://github.com/bavla/TQ,swh:1:snp:7633f022cc4368fd48b68137e419587385a6e710
21697,https://github.com/soarlab/FPTuner,swh:1:snp:347db111e205b6fcfa548493906dbf730a37d4ee
21700,https://github.com/uwplse/verdi,swh:1:snp:f8e2be0e4aa036cebc284e739d8bdbe349169bd9
21701,https://github.com/Microsoft/TypeScript,swh:1:snp:20738e479872294ae48e8b5bb6407adb91ab7e27
21702,https://github.com/mcimini/GradualizerDynamicSemantics,swh:1:snp:dc183d61777a71b71a08a708e21524402d313db2
21707,https://github.com/Murali-group/halp,swh:1:snp:b94c55f861d153b9f89d584317ca50d059e12f99
21715,https://github.com/bittnt/ImageSpirit,swh:1:snp:a068d0c2af99ba2e6eae211607a1d59ebb4027ef
21720,https://github.com/nessos/LinqOptimizer,swh:1:snp:38720e1391520735d13a331beda5d947bb9af489
21724,https://github.com/google/ktsan,swh:1:snp:1119a05aac7c59663389ea64ff3f6eb4a42a3bf3
21736,https://github.com/sheharbano/BotFlex,swh:1:snp:7ac27970aded3313e5baeb323ad069249ab94159
21808,https://github.com/cran/episode,swh:1:snp:820de14ddc3f522777372e06e09c69896cf3e038
21816,https://github.com/smallk/smallk.github.io,swh:1:snp:3c1343ced8974067ad8a87e120d92f7f5a052671
21818,https://github.com/cjmorningstar10/TwoHadronsInBox,swh:1:snp:7555e9027c8f6935755acfea2f84d2850e86e5be
21837,https://github.com/saeidamiri1/rbox,swh:1:snp:273f728bc6ed39f6387c6c46c0be030589b8b3ff
21839,https://github.com/ntucllab/libact,swh:1:snp:7ee6b86d744b187ad30a3a17232458acf94f820d
21860,https://github.com/jzsfvss/KCESolvers,swh:1:snp:18f412e32223454e7e7fff1d466e15b529c93f6e
22574,https://github.com/slaypni/fastdtw,swh:1:snp:1aa9a9a4a4828dbf810af54c6b721bf099300c05
22576,https://github.com/cran/BayesGESM,swh:1:snp:4cb7b3f7899ad69f2de51ed56ab8bd878e3365eb
22578,https://github.com/schaarschmidt/statintcov,swh:1:snp:c5627727400e42c8c836a4babca7bc9a021199c4
22580,https://github.com/JuliaOpt/CPLEX.jl,swh:1:snp:8e99d0444c042ebeeee0fc846516c5ce95ad4a45
22593,https://github.com/aboria/Aboria,swh:1:snp:caeda43eb52e276e97537227ac695f730e37165c
22605,https://github.com/cran/msSurv,swh:1:snp:499745f06d501b30449264502083a1956d857dbc
22608,https://github.com/ImpressiveCode/ic-depress,swh:1:snp:f83a965a4f6fc911971c3532bcc46ac433cd4b57
22678,https://github.com/cran/tensorA,swh:1:snp:8d36f8570be0653e7d5ea6d11334382a1fb36524
22685,https://github.com/jlblancoc/nanoflann,swh:1:snp:b6c5701a703a800d173ef3192a48dd71e3513da1
22688,https://github.com/coin-or/jMarkov,swh:1:snp:56223b75b53fdf8ff499d228620825245850ee96
22691,https://github.com/HPAC/ReLAPACK,swh:1:snp:145fba25d1832f1d0385ad2d2cd316335b44cc55
22694,https://github.com/curtisbright/mepn,swh:1:snp:976653948ae9affca0767f1e944c209e0b60500c
22695,https://github.com/switzel/singer_lattice,swh:1:snp:1336745ed9370274071113d35a435ece9a13ff01
22697,https://github.com/maojrs/BBB_experiment,swh:1:snp:5b68095147ea3f78bf43bc67d9150228d6af1203
22698,https://github.com/lijunhw/tikregnc,swh:1:snp:ce9b4170bb3e36facc3dea70b9c993f30e585da2
22723,https://github.com/mortberg/cubicaltt,swh:1:snp:f2679c734a71cd57cadcdc5436949335eae9846a
22733,https://github.com/YeeJeremy/rlsm,swh:1:snp:22889016243bcb1d4d9fff17c8cbf9a8c4e157ff
22738,https://github.com/cran/xml2,swh:1:snp:c4fc047cecbaec89499ddc8a96df3f00ee05262c
22739,https://github.com/Teaspot-Studio/metagraph,swh:1:snp:9bb7bc246aaea449115f81f0569e5423993c2974
22742,https://github.com/mdtraj/mdtraj,swh:1:snp:c7fe4287e6fe30d557ae44b097d6ed8d9fe15792
22757,https://github.com/cran/sp,swh:1:snp:063baebdf7d3f165c966fdd40b63060aa896d26a
22771,https://github.com/JuliaApproximation/SingularIntegralEquations.jl,swh:1:snp:a4b4a61dcba7582fe01425e697eda0913f42422f
22772,https://github.com/JuliaApproximation/ApproxFun.jl,swh:1:snp:f67e7d73401c48000af7282bfb1ef734f9ae957f
22779,https://github.com/ahmetcecen/MATLAB-Spatial-Correlation-Toolbox,swh:1:snp:bce497fe6e8148631f88bf37b6a3cd88cf2765dd
22786,https://github.com/jpivarski/pyminuit,swh:1:snp:61c409db52bd3ade2ae680764ed09a59b85c6927
22787,https://github.com/MDT-Maikel/Sommerfeld,swh:1:snp:f387536e8ac2d3532b54cfa63351d181a2f6313d
22793,https://github.com/fredRos/pypmc,swh:1:snp:94da8f75b1ec13c00d9c86f628a66d6ac91ca59a
22795,https://github.com/RainerKuemmerle/g2o,swh:1:snp:13874ece65aba1499df88de4c757bd1c0a83b180
22840,https://github.com/alexshafranov/corridormap,swh:1:snp:54627247e90d459fc65599f913d50508d5aca098
22859,https://github.com/cran/MuFiCokriging,swh:1:snp:e61bf113497c008ae89a9c3a3afa11ddae5649e7
22884,https://github.com/scheinerman/matgraph,swh:1:snp:e61a1286da1878f4b65e6b5c31c615d9e2ecbc79
22904,https://github.com/geomagpy/magpy,swh:1:snp:d65e74e9b9ae9a1f37c899bef3a4ec86373fe5ab
22907,https://github.com/fangohr/finmag,swh:1:snp:16b1a3f4b0993cd7400cbb76e7d1a08a3c073d62
22924,https://github.com/friguzzi/cplint,swh:1:snp:a84c1e7c3ef9f6cabfab54609ed38320829e556b
22935,https://github.com/cran/CARrampsOcl,swh:1:snp:f2dd8d9f1df5f58f50c5e7601b7bafe331c2a49e
22942,https://github.com/soedinglab/kClust,swh:1:snp:b8845021cbcfe027881d7db2a56a1ea6e88b995c
22951,https://github.com/guiblanchet/HMSC,swh:1:snp:9d10ccae031d7b48839dbe49a6f613e1eb3baab6
22952,https://github.com/cran/switchrGist,swh:1:snp:cc4ece82c046eb3974fac801b56344ff53f7d05a
22953,https://github.com/cran/GRANBase,swh:1:snp:26d7f702527c5bb2b85047e417f8fa4445d7bd71
22955,https://github.com/gmbecker/RCacheSuite,swh:1:snp:88868215ed8e3a5bc22c011744e0556c09b33d52
22957,https://github.com/rocker-org/rocker,swh:1:snp:c095d70358668d0a0eb781fc9b2d852dcd0e19a7
22958,https://github.com/metacran/crandb,swh:1:snp:1e2dbc583a37ef9abc3fc4d21b193883ed872b2b
22969,https://github.com/papagiannakis/glGA-edu,swh:1:snp:1578c12140b70c79674a214443c4f5ba1f5fdc82
23032,https://github.com/ddarriba/prottest3,swh:1:snp:8444ecbddf5ab498cc9acb994cfde5f2464cfab1
23082,https://github.com/cran/GJRM,swh:1:snp:cbfd543b56dd24637f6c3547d41f5348057f70d1
23083,https://github.com/QData/SIMULE,swh:1:snp:ecde88de89f7d6c0893bcecff8de30e1eb1bfc7b
23111,https://github.com/cran/MitISEM,swh:1:snp:8652ffdb396c8edcf0ca5f6c7ef8c108f668e939
23137,https://github.com/merns/postgwas,swh:1:snp:892ebd4f8d2dc6c1a080929384d40d6cd009645f
23139,https://github.com/mfitzp/icoshift,swh:1:snp:41b9c6602adb918b94903d7200210cde1c742041
23150,https://github.com/JamieHeather/Decombinator,swh:1:snp:8ad3ce0452f428ee5db3b4157755bd037831274d
23153,https://github.com/cran/simPop,swh:1:snp:c5b741e73d0ba6cc87e19b763e843bf11c3c21a7
23154,https://github.com/cran/coxinterval,swh:1:snp:bf8c3071ecafe34d513688305ced112f90e58ecb
23160,https://github.com/cran/httk,swh:1:snp:a9216bbc3c260f17fe8abc8d6c46d3ac72919d80
23164,https://github.com/Bio7/bio7,swh:1:snp:efbfbcbb4254f4036355e6ce72cb39f59c9c7df4
23165,https://github.com/cran/geospt,swh:1:snp:36526437e88fe68155173e495ebd910674f8e4e2
23174,https://github.com/triliu/3WaykHomogeneousLatinTrades,swh:1:snp:1a0f85013d6d2dc4be0d906c1fc1b107c290c39b
23175,https://github.com/gap-packages/img,swh:1:snp:c2afd54fd4deab6b73c2147e295ad76d72850eb2
23176,https://github.com/CvO-Theory/apt,swh:1:snp:175849669f0547f20e5a946eb6110ba319db62e4
23177,https://github.com/amosunov/clgrp-1.3,swh:1:snp:11e1167bb69d589b3a82bc68291509607f2e0a75
23178,https://github.com/maxwellsayles/liboptarith,swh:1:snp:c2aa6b815908587e4717324f1b3f35abd1124f8f
23179,https://github.com/etonello/crnpy,swh:1:snp:318df3a9e7bc4bdcff664330b319047151d09996
23181,https://github.com/highlando/optconpy,swh:1:snp:9dc63a88553ca3ecc282e784dbb31c7cb094220f
23182,https://github.com/xavierr/chsystem,swh:1:snp:f51a8d6eb004988f8604ede85caabac040c1853a
23183,https://github.com/ebertolazzi/GF2toolkit,swh:1:snp:ff9bd55d27e8d86f94608cc085cafac5f37c87a0
23184,https://github.com/SSPmethods/ImplicitLNLMethods,swh:1:snp:c3369467bf87b09848405b6742f51a8e3847e8b4
23185,https://github.com/SSPmethods/imexLNL,swh:1:snp:a30a502a7a633dbd691b93f9a17d53a8679a8add
23186,https://github.com/ntamas/plfit,swh:1:snp:e8224bff8f729e6ebe178af4b907b883ec4e7a97
23187,https://github.com/timoalho/VQCDThermo,swh:1:snp:f156372c67822a9d1919f11e7ff633ff83afc503
23188,https://github.com/Vayu/PJFry,swh:1:snp:26a9c53a897f69d31c684af49f08ef01df505bc6
23189,https://github.com/grantbrown/libspatialSEIR,swh:1:snp:a956f1a54aa49f5f09140e17031685324403a67e
23190,https://github.com/rtheo/CAdynamics,swh:1:snp:cca772a0744bc2c023abb8d2d88011c18315cce6
23191,https://github.com/apaffenholz/polymake_birkhoff_faces,swh:1:snp:2d94c628e9ea38633cd82f99f1c6c790cac885d4
23195,https://github.com/aparent/qacg,swh:1:snp:761310a5ead0e59086854c9cd5f2f296736b9f22
23197,https://github.com/JuliaStats/Distributions.jl,swh:1:snp:9e0bbe017c851631ecf3e797ee3b784ab6d17530
34715,https://github.com/chaim-e/diagram-sampler,swh:1:snp:7e2224a36e9acf6a22c55973aea9f03d436afcc4
34716,https://github.com/bzhan/bfh_python,swh:1:snp:f2d5d204ef5cfa48ce71d27113613eefa17c2b3f
34717,https://github.com/videlec/sage-flatsurf,swh:1:snp:ad3e15a7d39b34102596f03b0fdf8f054312b02b
34718,https://github.com/codeuniqueness/code_uniqueness,swh:1:snp:9f9b6703ebd5a934a17b5891c7eba736256b3796
34719,https://github.com/fredrikhellman/gridlod,swh:1:snp:cf8698496990d480e1d182627315a69af99889ea
34720,https://github.com/RichardMoot/LinearOne,swh:1:snp:9838536d271f1451e511e6885e71cd81ba7596e9
34721,https://github.com/metagol/metagol,swh:1:snp:07826cf66aa5376c4192e03d4d12f218d33e4692
34722,https://github.com/andrewcropper/mlj18-metaopt,swh:1:snp:33acb597a74aa592d6c8b0fac06553f58eb7e4ce
34723,https://github.com/tiny-dnn/tiny-dnn,swh:1:snp:67535b96e47331c147a5ab83f53eeced8235cccd
34724,https://github.com/BSDStudios/ethr,swh:1:snp:03e4f6905933fdf27022fbc50b4b4612e0956900
34726,https://github.com/treverhines/RBF,swh:1:snp:b6672d08c165790f9de6945f5b3caef015bda8f8
34732,https://github.com/ebertolazzi/Splines,swh:1:snp:41f0c56b4c5d4c685930ea2596b2cd21d5de8248
34733,https://github.com/C4IR/FAIR.m,swh:1:snp:e5d86bcf90b7e136249dfce84b4313a471cbf365
34734,https://github.com/jdwalsh03/auction,swh:1:snp:11c2226452eab5244c9988d9e8221ac6a77d45f6
34735,https://github.com/wishcow79/chabauty,swh:1:snp:7df8aae0df7c47a57dc45d05f6923434ed48e4b5
34736,https://github.com/zaspel/MPLA,swh:1:snp:76b09cfe8f337423bdf715f7815ea72ee174c249
34737,https://github.com/raghakot/keras-vis,swh:1:snp:69fb6e47cb426a09162635bad943ef67a0e40bbe
34738,https://github.com/unibas-gravis/scalismo,swh:1:snp:4b72afe41ae231f690d9e44235d5525bdbf6f6cd
34743,https://github.com/alshai/r-index,swh:1:snp:1da8bcf97e09b8d9a1eb14bf96edb89b000847c0
34745,https://github.com/IainNZ/JuMPeR.jl,swh:1:snp:48bc1029c68d436e583d3a3e2a6669d186da7423
34748,https://github.com/daviddumas/blaschke,swh:1:snp:46c28d98e2811fa57b86e95bd785b1dcecb51663
34750,https://github.com/pourmoayed/adpProject,swh:1:snp:76ca3508b50962355b5d56579efd39abdb2bf63a
34751,https://github.com/mmsnasser/CircularMap,swh:1:snp:dc1dcd9fd8ccd5aaf4b732b9527e9fba53dc9db5
34752,https://github.com/vOptSolver/vOptLib,swh:1:snp:df5505de79cf736f9fb1b06e69ad93a186fe66ca
34753,https://github.com/quantumlib/Cirq,swh:1:snp:e5a5c737d30ae779d50baac2df90ba768bbbce5b
34754,https://github.com/donlnz/nonconformist,swh:1:snp:5287f0a88269750fb572051a46b9ad72a305573a
34755,https://github.com/ogiladi/LyapunovFunDR,swh:1:snp:87e3122d35d8687e82443a572a27f69ba7b5791b
34756,https://github.com/GS1400/GSCGcode,swh:1:snp:5014639f39d4eb61f9c4f2d3eb552b9bd6e66742
34757,https://github.com/twrand/standard-tr-broadcast,swh:1:snp:24c5a12d65a6bba2398ff4fbfc17c01240e08ed2
34758,https://github.com/wesleyburr/synthLag,swh:1:snp:ad009f7621201e76e4c9cb902b142e18aa5cf0c5
34759,https://github.com/mfjones/pace2016,swh:1:snp:526f630294efb3d13dc263bd48e43c2b9bd6ef42
34763,https://github.com/horchler/wrightOmegaq,swh:1:snp:36d5f6dfcc10650d24fc5b4a125f6873e1013c5a
34765,https://github.com/motygin/confluent_Heun_functions,swh:1:snp:9f9f214c8825bab827a9ce8f8c93fa969c3e0e63
34766,https://github.com/marcocaserta/BRP,swh:1:snp:5df2277adc16350c26be13c751c50aa076f3ae9a
34768,https://github.com/ComputationalFlowPhysics/MFC-Caltech,swh:1:snp:606ff081c37c58b745776420f16bb8de45de77fb
34769,https://github.com/OpenQBMM/OpenQBMM,swh:1:snp:3dbe8dff3632358fb6a95ecfdead5ffa8f2fa0e2
34772,https://github.com/MTG/essentia,swh:1:snp:987f97cf3b546f48e80a27c17edb94a586e04e4b
34775,https://github.com/awslabs/or-rl-benchmarks,swh:1:snp:f25206e19aa34bd3cd9e9e916d5d6fae39fa9cbc
34776,https://github.com/aappleby/smhasher,swh:1:snp:6f41bea995f6f082a6a841d22c20e0ac37489213
34778,https://github.com/TomvdZanden/GPGPU-Treewidth,swh:1:snp:58d887d10c103a2f2e7e409063843d246d6982f2
34779,https://github.com/JuliaParallel/MPI.jl,swh:1:snp:f1a0a5c2324e7b10e7fa23b744c88954b095f0a9
34782,https://github.com/concrete-cp/concrete,swh:1:snp:4f2cd1806b41caeac80e2b171575c20bc3f18677
34783,https://github.com/jdechalendar/pnm-generation,swh:1:snp:6c4be0e867f86c475bf3cd5fa708ceac2575de52
34784,https://github.com/veitelser/phase-retrieval-benchmarks,swh:1:snp:afbdd9724048c2e9e634adc981a9a9862b355ebe
34786,https://github.com/aeroimperial-optimization/QUINOPT,swh:1:snp:06b30ef7dd280858a89716b2ec4cb131193c4a7e
34787,https://github.com/oronpropp/ecdegsets,swh:1:snp:dfcdb10b0000a0b2cb526f42b4539fb827411d5c
34788,https://github.com/cran/phom,swh:1:snp:4fd8f36d03d459c5352ac2344ec466951fbe7bcf
34790,https://github.com/jakobkroeker/FiniteFieldExperiments.M2,swh:1:snp:51d9f2bf036a925690b93094619c7833adc964a9
34791,https://github.com/LLNL/libROM,swh:1:snp:bbc267285d0da5916ebf04463fb1bbff48372866
34792,https://github.com/saibalmars/GraphRicciCurvature,swh:1:snp:939f8bd5beb56e19ea8381738b225b05f63e682a
34794,https://github.com/fillassuncao/denser-models,swh:1:snp:fbc8c3575b6c3d84ce9da41090a230b170760395
34795,https://github.com/stp/stp,swh:1:snp:248e6139a163606dc94a26477298ea34605b635d
34798,https://github.com/nfreitas/neural-network-states,swh:1:snp:2811c87bfff1ebf111c4fd590de5638c676d6071
34799,https://github.com/yeehui1988/QCM,swh:1:snp:050cace2e09d7ef224839e29698ac13ba4fd7068
34800,https://github.com/vjysd/nerve-fiber-modeling,swh:1:snp:7d52e9d99b3256e9fbad0f6d3ebbb1e9187fa869
34802,https://github.com/stephenbeckr/L-BFGS-B-C,swh:1:snp:9e8e12c33e35b5f4593dbb4cffc159e211646d44
34803,https://github.com/slosar/april,swh:1:snp:3129dd05b200f37b18127ce744dbdb86d3ceb15b
34805,https://github.com/namgillee/BTTSoftImpute,swh:1:snp:73359eae31ecdde15bb31481bf152f7392e16d10
34806,https://github.com/jschanck-si/logcvp,swh:1:snp:210abaf9bcfcedb24d6f3cbab885f1adb87574b2
34807,https://github.com/LJeub/SpringVisCom,swh:1:snp:fd61749cba5f5f09f924b48c535b0726b05e2111
34808,https://github.com/AckslD/vertex-minors,swh:1:snp:622b26a0ec7684d08dd21672ca15cd140954c929
34809,https://github.com/tohtsky/cboot,swh:1:snp:e7c69d61c477e7a0f861cad85b1361cf5570776c
34810,https://github.com/hafizTiomoko/improved_spectral_community_detection,swh:1:snp:bf4f79842da39527e67abf5b1e43948a69bd3b5e
34811,https://github.com/T-Obuchi/AcceleratedCVonMLR_matlab,swh:1:snp:737b8d8feff65e44eb93f4deb3dced74bca0680d
34812,https://github.com/openai/baselines,swh:1:snp:653294240cb96b3444b0c5baeabcd8d80ab493d4
34813,https://github.com/ICL-SML/pilco-matlab,swh:1:snp:fc0cfd1919786602762b4a5cbd27167d39e3107a
34814,https://github.com/SuneGadegaard/BOCBLP,swh:1:snp:2e71eb231b36aea336e7892cfdde6f5422739389
34815,https://github.com/teake/simplie,swh:1:snp:4eada5e3bc838ee7fcea941b1d01dacd10aed1aa
34817,https://github.com/dominicnoy/LPC,swh:1:snp:b37f965b5a7bb7ec7f2879c4d9a8eaf177372034
34818,https://github.com/openvswitch/ovs,swh:1:snp:d4028b4685074747858c70f542841ab47cd91234
34819,https://github.com/ARCCN/runos,swh:1:snp:68cbfc3c6b3521d5eb17d9eff526a9902426b5f4
34820,https://github.com/frankpermenter/frlib,swh:1:snp:eb7789c52693606e41fe19f44aba98f3247c79f0
34822,https://github.com/glickenstein/geocam,swh:1:snp:3321d988d306d854273aefc5d067e1aef5727a25
34823,https://github.com/cog-imperial/StdPooling-PolyAlgos,swh:1:snp:0ea4e9eeabb949e3da99aa09f297e055f74d7082
34824,https://github.com/mjirik/lisa,swh:1:snp:ac7d9f47933207cea86dd9e2d081fab15f0d02ea
34825,https://github.com/gabrio62/CURSAT-ver.2.1,swh:1:snp:9e9ba7c6f4185ebb8fe61a026fca52e3da345c6b
34827,https://github.com/weichangyu10/VaDA,swh:1:snp:0a5917350468201187bab4cf3320ced13e4c59cd
34921,https://github.com/znaoya/aenet,swh:1:snp:842008be9b417d2da2641527298c5e4a008fcf5c
34922,https://github.com/crsh/papaja,swh:1:snp:a8b156674606cd18592a50298f55adf1acce4104
34923,https://github.com/bmcfee/muda,swh:1:snp:2a872aa1eb127330ad958cb7409635a385a56297
34925,https://github.com/sevagh/audio-degradation-toolbox,swh:1:snp:7d252b1583271a6f9bcdd3aa6de95716b487a6d2
34926,https://github.com/d-torrance/tanglenum,swh:1:snp:248f30722d9da36fcccc501df62070ddfbe53d2a
34927,https://github.com/cran/rtmpt,swh:1:snp:80f0a3c8e110db7443a643f9f3d91eecc6fe1418
34931,https://github.com/flintproject/Flint,swh:1:snp:efbec01782a07a493acffef2acac5da1390cda0b
34934,https://github.com/OpenFAST/openfast,swh:1:snp:318e4e8a08c76b194113b9311d9d4211dfbb5508
34937,https://github.com/PhilD001/biomechZoo,swh:1:snp:632d003cb66b6e140ac40f117bf5635966d56e38
34938,https://github.com/browarsoftware/RMoCap,swh:1:snp:75c4a9b91cb13c4c665e8e0b5fa5607d3d791b83
34939,https://github.com/pyomeca/ezc3d,swh:1:snp:3d47e0bfb38b94cd66b77b0c7f1c7d8212f86d88
34940,https://github.com/anmuller/CusToM,swh:1:snp:0adc52657d9ec9e6a8035fd2bc418057e2633d25
34944,https://github.com/tomotto/RSE-box,swh:1:snp:9f3d489e6c5eaf0127d13748617b1e1732d86ab8
34947,https://github.com/euroargodev/argopy,swh:1:snp:dc2f953eddb4a3d34ea507c8f7673406cf7e8597
34949,https://github.com/YoungFaithful/CapacityExpansion.jl,swh:1:snp:1c58f9cca3c3aaf1515589dfabc8a574866addb8
34950,https://github.com/calliope-project/calliope,swh:1:snp:ac42c4b24f17ef3174af1711cf277646bef5962b
34951,https://github.com/holgerteichgraeber/TimeSeriesClustering.jl,swh:1:snp:fb138f6bc0363f516ab956e16d3123763767b5e2
34954,https://github.com/lanl-ansi/InfrastructureModels.jl,swh:1:snp:662019a7a2847885b7203c70247b9807f04863cd
34955,https://github.com/tum-ens/urbs,swh:1:snp:546a5c6bc4d1fe23f5bf39f4723656808a6fc27f
34956,https://github.com/switch-model/switch,swh:1:snp:dae7133580a23cd3588c6565affd2ff2b126d1b6
34958,https://github.com/PyPSA/EnergyModels.jl,swh:1:snp:3cac4ec7c0bbef536e21b357c7248a068e2a7307
34962,https://github.com/Tencent/rapidjson,swh:1:snp:7e29d715e775ec97d6e61bfbf5992272e98670fe
34964,https://github.com/spack/spack,swh:1:snp:c8a5d56e36524990daf157fa0db3b089495422f8
42995,https://gitlab.software.imdea.org/ciao-lang/sCASP,swh:1:snp:6b197aef179e57e4b70c2be5b7e4c4cc671cff39
42985,https://github.com/cedricwangyu/NoFAS,swh:1:snp:a101b675dcd3e5c4f17228c383e6df230292b6ce
42982,https://github.com/ida-tubs/pycpa,swh:1:snp:383cde813b6030c1f98d05455b212d80f2c7b99d
42910,https://gitlab.telecom-paris.fr/ring/sar2sar,swh:1:snp:92089dbc9cdc22038d893f03393a0894a4a04c9b
42884,https://github.com/fjprichard/PyAFBF/,swh:1:snp:b37948e2d31097af527ad762be3585aa92a5e15b
42871,https://github.com/mucherino/binMeta,swh:1:snp:d05f8304e73ffdfe8590aae888741d1936cda1e0
42841,https://github.com/blindedjoy/RcTorch,swh:1:snp:10ffd8a5fe67013094f254ba446b7c0ea6d1e769
42679,https://github.com/gergoerdi/metafun/,swh:1:snp:2f6e2ffe8f56c40e455c02e24cb82e6fda487d43
42678,https://github.com/facebookresearch/Noresqa,swh:1:snp:e4ba65e1745a898e19bcb8eb7cc61c793eb487dc
42675,https://github.com/motional/polarstream,swh:1:snp:22ecc1be566ccc3c24ca0c8620a0ce6b4d08478e
42669,https://github.com/ubc-vision/COTR,swh:1:snp:be88e471985ca4018f9cc82924a9ab39a3d8c45e
42665,https://github.com/jamycheung/MatchFormer,swh:1:snp:8cbe005e3d3243ba1342d1ffd1bfa1fade9bec3d
42661,https://github.com/GrumpyZhou/patch2pix,swh:1:snp:f692a3e98bffde1dbbdb5cfe1b2928b8c3ca8aae
42659,https://github.com/RoboticExplorationLab/Altro.jl,swh:1:snp:be7d18b0bee0069b88d0ec1d3cfc9de8ae122666
42653,https://github.com/nianticlabs/manydepth,swh:1:snp:e4f4c933c4b52bd42b052a88ad1e08e49bcdd5dd
42640,https://github.com/shuai-zhou/gps2space_doc/,swh:1:snp:b3a70b6c65f0df8495248eacbb32962e250feabb
42599,https://github.com/hkust-knowcomp/co2lm,swh:1:snp:fac53cc265efd403aa11052929cdfd867be9ef62
42598,https://github.com/HKUST-KnowComp/DISCOS-commonsense,swh:1:snp:03f136c9b90be4bda9de041172c4f7cf622d0aa3
42592,https://github.com/hobae/anomigan/,swh:1:snp:42a02ee2458d3db610f7b02d99ba31cf57028114
42585,https://github.com/jeanbaptistegouray/mindgan,swh:1:snp:1e603d115369d61d308e63a51a34989b887d7d85
42562,https://github.com/JingyunLiang/SwinIR,swh:1:snp:066bfc4749cf26592c0279e30fbbae17166ffc51
42559,https://github.com/yhjo09/SRFlow-DA,swh:1:snp:844fadbdfbcaa39a8ceb8f670ead79e271f5b8c5
42538,https://github.com/damo-cv/TransReID,swh:1:snp:a85cc76c4b64cc89fb88bc720857beb34b9d138a
42528,https://github.com/idiap/potr,swh:1:snp:ce55e476785462f0418b1964b66310dbea781ac0
42504,https://github.com/intellabs/vl-interpret,swh:1:snp:fec79a22aee0bf941a3e5cfb690d6cb79f4ebb45
42502,https://github.com/ashkamath/mdetr,swh:1:snp:d1b30223d9ae9e9072c97016c408229fc3896e05
42501,https://github.com/dandelin/vilt,swh:1:snp:d11d1be40899438e94fbbb7704b61ea802e2881d
42497,https://github.com/lvyiwei1/DIME,swh:1:snp:c421cc54283be2ebb794ff16cbcb630e8ed11f95
42490,https://github.com/Stephane-S/Simplot_PlusPlus,swh:1:snp:dd0e4995f3d813e8e190b5f5540d4627661b0fc4
42476,https://github.com/gusrud1103/LibriPhrase,swh:1:snp:c35242594cfad60a34869e44376834d21fb1a9e8
42475,https://github.com/fudan-zvg/polarformer,swh:1:snp:83ec0ee9cd39434bac8e84e43762eadd036a8832
42473,https://github.com/lijenchang/Mask2Hand,swh:1:snp:d6b94609a7aad64514bd6192fb86d04544f6dae0
42472,https://github.com/yuwchen/inqss,swh:1:snp:53592ff9748dabd2353e58b039086c06faa53b58
42471,https://github.com/debatelab/deepa2,swh:1:snp:c3c4cc85ffdbf0df397996c60e633f1890ecabbc
42470,https://github.com/Zukang-Liao/ML4ML-invariance-testing,swh:1:snp:e73b4dd8c503b815fc29911e4ccd682fc47cc6c9
42469,https://github.com/michael-fonder/M4Depth,swh:1:snp:4f86bf4165767995a1d7aa042c230207613ecce4
42467,https://github.com/MotionMLP/MotionMixer,swh:1:snp:7cf4402ea9955a531278dee2d57b0754edde7b88
42464,https://github.com/kevin-tracy/DiffPills.jl,swh:1:snp:d02e1338a02867fb732c3056f75c26b4b79ffe70
42462,https://github.com/XinshaoAmosWang/ProSelfLC-AT,swh:1:snp:648e4a3045641825228f457be1f8df93f5ce3df3
42458,https://github.com/jason9693/musictransformer-tensorflow2.0,swh:1:snp:0f76dd858715ccce27127c59863150f641acd44e
42456,https://github.com/changlin31/BossNAS,swh:1:snp:b8cf8e0526a33da7877d6d16e7b580baa911808a
42454,https://github.com/markendo/GaitForeMer,swh:1:snp:cbc2039214398be3c303324665ba6e16718e5f15
42449,https://github.com/pliang279/MultiViz,swh:1:snp:45235287ed8f0950d63068a429e5dc68934af3e5
42445,https://github.com/maremita/evovgm,swh:1:snp:000758212b7998cb11c59a95f1dea9c0fa16d39f
42434,https://github.com/Evo-ML/EvoCluster,swh:1:snp:d37b0a73731e9f0928ef55df19d9095fce0bd0e3
42411,https://github.com/alexe15/ALADIN.m,swh:1:snp:9178bdd831adbb4f7d435e6b76586f23a1b01a9a
42391,https://github.com/jpahle/CoRC/,swh:1:snp:40f2d27b1adb321ecc93eb087c7f6d516cae94a4
42383,http://github.com/LLNL/parelagmc,swh:1:snp:57317e4609ef9ec82e1cb0963c477118d07a6540
42382,https://bitbucket.org/zulianp/par_moonolith/src/master/,swh:1:snp:60f80df5ad983c4a78ba64c7979cd1403fd23251
42373,https://github.com/dpanigra/irs-partition,swh:1:snp:3c5f36be1fc733b41b6a1eb7d529fb2e66e43aff
42362,https://github.com/DanielCanteroNTNU/VEqMon2D,swh:1:snp:90b0a261f7384ae58f96ea7d4623203e08a4d720
42347,https://bitbucket.org/croci/libchopping/src/master/,swh:1:snp:86177128b41b3db6143515d5d2587aaa6bbb60fb
42342,https://github.com/amitko/matlab-bp-engine/,swh:1:snp:499e7eb659a71a1d6e69dc82fe57d4ef889502ba
42323,https://github.com/ecrc/h2opus,swh:1:snp:1f544df70a080af12024103eb4e0d945b785431d
41153,https://git.rwth-aachen.de/lamBOO/fenicsR13,swh:1:snp:daded65656e6d083107e575427f8c2ab228bc9f8
41105,https://github.com/pymgrit/pymgrit,swh:1:snp:efaee0fb5995e24cfdf2fc61c98061f1239768e7
41101,https://github.com/hemmecke/qeta/,swh:1:snp:e84beca48fbcf4d0382363b62d39be5ddf36b221
41081,https://github.com/maxtuno/slime-sat-solver,swh:1:snp:3e7cf23b0f2af2dc3875afdb205ed789c0937052
41076,https://github.com/JGCRI/rfasst,swh:1:snp:452fa0fa672e40468897eed9cd87bf35cb2f9d86
41075,https://github.com/alan-turing-institute/Palaeoanalytics,swh:1:snp:00fed6129d7d427e00a83da2cd2139f50e26b799
41071,https://github.com/UCD4IDS/WaveletsExt.jl,swh:1:snp:b5132667c06e8e8f44bba12283cad8c2a8c90fe5
41070,https://github.com/hhupde/PSBFEM-Abaqus,swh:1:snp:2c7d80fa3f472495c7763c43f7e639d95500db39
41069,https://github.com/gryan11/cln2inv,swh:1:snp:126436c1344d91b8942a55e1c18b6760073e9955
41067,https://github.com/michalkoziarski/RB-CCR,swh:1:snp:37937f979fba3735faf17a0df4941a24d0e2eccd
41064,https://github.com/deepmind/scalable_agent,swh:1:snp:b3acfedb91ec2e52d57a08fcb9a296b1f43aa0f6
41056,https://github.com/UW-AMO/RobustDMD.jl,swh:1:snp:985d3ab9456d293a649d4c65cfa60a2ea83d43d3
41053,https://github.com/kmihic/RACQP,swh:1:snp:ddba0c6e923567dcff32d4093b2eddfd706a0385
41052,https://github.com/EmilianoTraversi/Benders-squared-B-2-framework-for-infinite-horizon-stochastic-linear-programs,swh:1:snp:5f3f3b24dac4ebd85d45a4e155d9fbc01417d6c9
41051,https://github.com/nimazzi/Stand_and_Adapt_Bend,swh:1:snp:266804306f6cc758601cd4e7b031760d2de06fb8
41042,https://github.com/Fatih-S-AKTAS/LSSPAR,swh:1:snp:0b630e39d700d1e173945885f1df2a2ea8ec6b9f
41040,https://github.com/apetri/LensTools,swh:1:snp:4119c1b5c0570fb6e4078fa67fb3acd5b443c0a5
41038,https://github.com/baudren/montepython_public,swh:1:snp:6810d0ba6d3484111e990ee0aa322c7864ab26fa
41034,https://github.com/scheidtc/dGSA,swh:1:snp:5bf5c00989281a23d381e231e8a7f115747ec39b
41032,https://github.com/LisaNicklasson/MaximalRankProperties-Macaulay2-package,swh:1:snp:9c370790b0602b2f6d4f9ad18d31a76662bc4258
41025,https://github.com/romulusae/romulus,swh:1:snp:3b9592d0691a7cbace2c7bd20450b812c21e2522
41022,https://github.com/Phantom1003/QARMA64,swh:1:snp:a527b49ed995afa43ed3450baa563df39b2cebdd
41014,https://github.com/mrzv/diode,swh:1:snp:33a54c746677dd5356da9e29a17c1e487f46fbf2
41011,https://github.com/jaredleekatzman/DeepSurv,swh:1:snp:d1241ebe8eacab3d0b1097d97600dd1170c5d6d3
41010,https://github.com/lanagarmire/cox-nnet,swh:1:snp:045db0168701581dca6210a843cccdab94235aac
41008,https://github.com/ecoetzee/Dynamical-Systems-Toolbox-V2,swh:1:snp:f5632553d57622ec6802b4b48c51d3b9c1b76118
40990,https://github.com/emarberg/virtual-permutations,swh:1:snp:3b06d67756ca494a18b5bec11bc3e739fe21d600
40987,https://github.com/chaoszhang/A-pro,swh:1:snp:a675b739ee07114e98fdff488c8a9343b0ee254c
40986,https://github.com/ekmolloy/fastmulrfs,swh:1:snp:0c261816200c61a181d515035083136a71cac2e2
40985,https://github.com/anastasiiakim/PRANC,swh:1:snp:35d787bf6b90d0d8dd07d7ce621ca3b866ad60fc
40984,https://github.com/davidemms/STAG,swh:1:snp:314c67edb5e5fab8cfd795b3da173eff65aa4869
40980,https://github.com/cran/GMZTests,swh:1:snp:33d76a23aa6c9dc4d01d4d44cd200fec792d27b7
40977,https://github.com/ds283/CppTransport,swh:1:snp:84a27efb10c2acb0bd15d522842242da5084074d
40976,https://github.com/BillHuang01/CoMinED,swh:1:snp:cdd7ee778da21c9f9d09db94c7fafa2273ffabef
40971,https://github.com/SophieKersting/symmeTree/,swh:1:snp:1ff3c3c49d769d8f68b8dae06feb0ce5ee6ca6e5
40965,https://github.com/kevinganster/eikonalfm/,swh:1:snp:5ce34db122b25fcf9a0474bfe668bc2d4c69f807
40933,https://github.com/ccicconetti/netsquid,swh:1:snp:b628c33f5fc1b4f67318bde253b7989e14f5ac1b
40905,https://github.com/overtone/overtone/,swh:1:snp:75ff6ef105a163468d36824752b1540622c443ac
40891,https://github.com/ur-whitelab/hoomd-tf/,swh:1:snp:cd1996a11fe3c767a243e3bc188c066d3fc737ae
40825,https://github.com/SDOlivia/FineGym/,swh:1:snp:87f04127d14d03dfc22d9fe8b25f5e824a25caab
40800,https://gitlab.com/librallu/balancedtspcode,swh:1:snp:c4a09c243df603275465a0cb2eac38b79167ce1c
40799,https://github.com/TomMaullin/LMMPaper,swh:1:snp:8d4e6905174c5610d48bba0d10892a419b895d75
40789,https://github.com/nghorbani/moshpp,swh:1:snp:338708cf5d3293d1c16bdfe2e89139a190f2cc4b
40784,https://github.com/ChenFengYe/TightCap,swh:1:snp:b83035ceba2c8e7f26d9822dd7820e94e8cef6d9
40780,https://gitlab.com/benjgregoire/maskverif/,swh:1:snp:ea2dfa049c4ddc01c3518c82f429bbba0a14df83
40742,https://gitlab.com/remram44/taguette,swh:1:snp:edfc5c8516afbc83de58af27ca5539705f5ce92e
26785,https://github.com/cran/checkmate,swh:1:snp:f45990fe9899abd406eb09f2810e88c4fb6a4ac6
26812,https://github.com/jirislaby/stanse,swh:1:snp:f6b65b1b049701dd51cc6b85d97445f60cdd4f41
27045,https://github.com/henniggroup/MPInterfaces,swh:1:snp:fc12b42716f8dcebea3b0abcbbed69eef3ecad27
27098,https://github.com/odow/MilkPOWDER,swh:1:snp:171cd50e9a907ff7f2d064d6c75a0d7d23cc1365
27099,https://github.com/odow/SDDP.jl,swh:1:snp:fdb187acd3f36deb02afdd91edc1ff793e632069
27101,https://github.com/linzx06/AC-PCA,swh:1:snp:5ffe2a9f64594018a0fd761ffe490652e7ef338b
27105,https://github.com/liubenyuan/py-oopsi,swh:1:snp:573a7cb9e76cbe71f56fb8ed915049466be8ed8e
27106,https://github.com/shbhuk/barycorrpy,swh:1:snp:70b430bd127223a434900edaff7ea63d34e19136
27138,https://github.com/cazala/synaptic,swh:1:snp:5af42df2a252af6c4f3860db85e4cf6a846a19d0
27140,https://github.com/wagenaartje/neataptic,swh:1:snp:c366a27c531548d69c870b6c4d604584c076ff8f
27142,https://github.com/mljs/ml,swh:1:snp:f786f2c1b9e0b9d18f7a908e5d59ed5874e3050e
27143,https://github.com/NaturalNode/natural,swh:1:snp:54c6c3bfde91c3ec4bfa1ec0921dd6fc665c4ef2
27144,https://github.com/adityathebe/evolutionSimulator,swh:1:snp:be832f73034b6ddfc468927d1f060b2e762954c3
27146,https://github.com/BrainJS/brain.js,swh:1:snp:70a1968a8fe2c54cb0a0d2bee31dc0f54b3939f4
27147,https://github.com/mil-tokyo/webdnn,swh:1:snp:78304ad7adc30f7f885959722777f56d827b60bb
27148,https://github.com/janhuenermann/neurojs,swh:1:snp:4158a60e21f7ff331cca2309b0822868ef9c0026
27151,https://github.com/karpathy/reinforcejs,swh:1:snp:7a0537199f70e37f0a44c6698fb77e01203568ec
27153,https://github.com/thibo73800/metacar,swh:1:snp:8f9e741a8ea83c7b5cc491b5a4d1a018ebd3bd5b
27157,https://github.com/HendrikStrobelt/LSTMVis,swh:1:snp:603b3704d9fd37fed69076d3eecf265af2a2b115
27159,https://github.com/cran/JGL,swh:1:snp:2878299e28e315f5f151b003d8e7d8bcbe38afe7
27161,https://github.com/cran/RidgeFusion,swh:1:snp:c763ea8b7092ed163778ffe67fa44899360da7b2
27164,https://github.com/gap-packages/images,swh:1:snp:e4f60fbf9c8a67a73f3607f245dd39dedab2e515
27169,https://github.com/knowitall/ollie,swh:1:snp:f8d7c843350777246125dc3b3c4ec77a140af0c9
27171,https://github.com/alan-turing-institute/mlaut,swh:1:snp:ad902f159dbf8921a29817b69e10dd1f15313880
27172,https://github.com/danmcduff/iphys-toolbox,swh:1:snp:3aa45a095a595c433063ba6be3b36aa446fc9832
27181,https://github.com/hiepdang/Sage,swh:1:snp:e4e80ae5cb35646fff50fc63588c23436d6c6851
27182,https://github.com/bootcmatch/BootCMatch,swh:1:snp:afe2c4d0b898007a286884a1977178a0812afc79
27185,https://github.com/tbirkandan/opensourceGR,swh:1:snp:9faf7adeee1869f653c7ad074d0605ee2459c5c1
27200,https://github.com/scolobb/brsim,swh:1:snp:068e920d8c0d986a8b63f2d2a33b4a0052dfe148
27201,https://github.com/hugochan/KATE,swh:1:snp:796f219cf6e7f9a94aa6f99fe6f9563ebcc4e430
27202,https://github.com/aditya-grover/node2vec,swh:1:snp:be1f6070bda1f5b8a73eab3b260515c9101cb912
27203,https://github.com/jcjohnson/densecap,swh:1:snp:e5756ca11b82c5a7221f254fb66bfcfca6cff931
27211,https://github.com/deeplearning4j/deeplearning4j,swh:1:snp:2f70de82e45571f1d4a0f554c41917dd25d79baf
27212,https://github.com/karpathy/char-rnn,swh:1:snp:4414bc6f1440ddc94e073175021a12365b24270c
27215,https://github.com/automl/SMAC3,swh:1:snp:2ef5d36b93d5f26a6e4aa156a4928aec4b21a4b0
27220,https://github.com/cran/perARMA,swh:1:snp:527df787dd3d93ddd0297cc230c112794620288c
27221,https://github.com/cran/bayesMCClust,swh:1:snp:782d92d5aeab15781dae674f1c7aeba076e6f37e
27235,https://github.com/petejonze/QuestPlus,swh:1:snp:400aefc14311bba8b9235f2fce4ec2b38ce649c6
27236,https://github.com/hagax8/ugtm,swh:1:snp:38f9e1d7cbec295dff9ad5a3bb7ecc67a8cec560
27238,https://github.com/wichmann-lab/psignifit,swh:1:snp:eab3ccf2684e9b99ce0c7a99484bd258eb979bfd
27239,https://github.com/altair-viz/altair,swh:1:snp:633b6d419fb22010060f0bf0e0a231cabf58816a
27253,https://github.com/theosysbio/means,swh:1:snp:0f42e7a148724ef3dc7f92b651dc2da032018fa2
27260,https://github.com/OpenPTV/postptv,swh:1:snp:235f935b397ce05ff3774731c49cf4b31b9bf269
27264,https://github.com/vincentberenz/playful,swh:1:snp:083ad0380d0312b1e17aa6fef1857c56e98fb5a6
27266,https://github.com/omaraa/ImageSURF,swh:1:snp:21b51dc106a5e2c00a08317da8157b64e38b2d0c
27270,https://github.com/jungmannlab/picasso,swh:1:snp:fed6586f3a05ebd02a96e58bcb199c2c3ebfb831
27271,https://github.com/IQSS/dataverse,swh:1:snp:fe0c42d5f4c71207777f7458d4f4ad6409a42234
27276,https://github.com/uzh/gc3pie,swh:1:snp:dce18c920cabfb1ada42776decaa9b89bc0d1807
27277,https://github.com/paramiko/paramiko,swh:1:snp:3688dd82b47774b025aa3b9a2a89034d048dda06
27279,https://github.com/celery/celery,swh:1:snp:03dabce489e8f0e8cf8a57641d7c7a107279e45c
27300,https://github.com/CoolProp/CoolProp,swh:1:snp:f664416552ea7936b1a6abbf1c5752c591b9ca5e
27304,https://github.com/biometrics/openbr,swh:1:snp:1a0268a7a58bcc7996c943a9638263c520052507
27306,https://github.com/smathot/OpenSesame,swh:1:snp:4b5b5889905583598a7d3a19cc4a47c37203044c
27308,https://github.com/hannorein/rebound,swh:1:snp:d3f41347c6bcf31d19bb5e1ed6dd5b26f4088f17
27310,https://github.com/keokilee/makahiki,swh:1:snp:9c40576c73fef2bf11dc22194dbabf98f5e67e64
27319,https://github.com/tansey/smoothfdr,swh:1:snp:7bb11892490e1dc1b1ff3be1d93f489dadb3e857
27329,https://github.com/numsol/HybGe-Flow3D,swh:1:snp:31904fa096660bb3b80197c565d6ead5e3b19d34
27337,https://github.com/greatsky13/TripleBit,swh:1:snp:a039c76d3ceefb0e6484b297b47d81bc98843ada
27339,https://github.com/awmeade/FreeIAT,swh:1:snp:8e2499c0a5b90801f208896eeea4a0d5bb110fa0
27353,https://github.com/dbspitz/migrateR,swh:1:snp:4106429db8580b8e7f54574cf290d7b6155635ca
27354,https://github.com/cran/GeoLight,swh:1:snp:90091ee452051e0f4c2c929bf9dd96414ab550fc
27355,https://github.com/benjamin-merkel/probGLS,swh:1:snp:07c497b8d984934fab771f3bbf4385858cb0b50b
27356,https://github.com/cran/anipaths,swh:1:snp:0bfd9b1e7186b7dbb3e8f53e0509e0cf4e2d5a96
27364,https://github.com/SWotherspoon/SGAT,swh:1:snp:858d44fa1501f7360a2dd31ab88491769198c61f
27365,https://github.com/ABindoff/TwilightFree,swh:1:snp:3c168f099b8119cb05aafcf63ce7820339951415
27366,https://github.com/cran/animalTrack,swh:1:snp:b20d75c657b85501911ac8de5f7fd6e668f4d56a
27368,https://github.com/cran/argosfilter,swh:1:snp:3f663113ee9b827c4f059ef9f92552b1840a7f5a
27369,https://github.com/cran/SDLfilter,swh:1:snp:2f79aba60429d65a33dd32ac5caa74e80071ed66
27371,https://github.com/cran/trajr,swh:1:snp:2d69e734bcf4870b9b7310d00ad83e8e1693ba55
27372,https://github.com/cran/rsMove,swh:1:snp:2321d3bec4762e0e516284e28033da66200a286c
27374,https://github.com/robbriers/MovementAnalysis,swh:1:snp:037d57ae426069bad0afda5fad40be887e5a3ad4
27377,https://github.com/calbertsen/argosTrack,swh:1:snp:4789f170f0b53cf2afa83195c55d57c25d3bd591
27380,https://github.com/cran/mkde,swh:1:snp:4ce23d49c6e18ca5d2eb42ae9da702c7cf0ad86b
27381,https://github.com/basille/hab,swh:1:snp:84e0ff7085b51b00f9eeb7c98848249a4f3825d5
27382,https://github.com/BastilleRousseau/moveNT,swh:1:snp:82c2ca7acf95678666754e1a1e345d56f41ea04a
27383,https://github.com/cran/recurse,swh:1:snp:0c882a6179406193725e3e5cc0924c67e9dcd98b
27384,https://github.com/cran/smam,swh:1:snp:924556fa7817a58e2544dc1fe15c10821ae5e6c0
27406,https://github.com/masa16/pwrake,swh:1:snp:4e2a912d712c8e2ba46dbf6624ba4fa1dd0e65e6
27410,https://github.com/drnesr/NeuroCharter,swh:1:snp:0eb778482f06d3cde03f543d8d510102f6230635
27440,https://github.com/cran/HotDeckImputation,swh:1:snp:19567ab0accc6bee8bb1acfaa1dbcbf4518aeaf4
27455,https://github.com/AdaCompNUS/despot,swh:1:snp:12895e8b67ec7b6216213e764671fbd15554f235
27459,https://github.com/cran/HighDimOut,swh:1:snp:3728babfccbf357741aea68309e53124ed6e49f5
27496,https://github.com/ashkapsky/BigDatalog,swh:1:snp:5239238784b0718e0c1ca21cabd3809e05c12e0f
27510,https://github.com/FBK-NILab/tractome,swh:1:snp:04c85a8bac922ae18fc1a1f235799b998ae29625
27512,https://github.com/jccriado/matchingtools,swh:1:snp:3cf1c4e0ef7735c3aabe24cb9db19bb71c94982f
27513,https://github.com/kb1dds/pysheaf,swh:1:snp:382cccee281845d7072291ccc1379b78a7cf1574
27540,https://github.com/usnistgov/feasst,swh:1:snp:1018b3631c6ae27ab40e6f996a2f9e7ade8fa93b
27544,https://github.com/kronbichler/exwave,swh:1:snp:3ed446c803ca9e5dd514bf11e1c6a8454d99b5e6
27563,https://github.com/FStarLang/FStar,swh:1:snp:0dbe946706fffe8413d90c0e2708d64c08ba3150
27570,https://github.com/aatapa/RLScore,swh:1:snp:352dad038143fe1e1b56a2a79aeed35ca29b1da6
27574,https://github.com/eldar/deepcut,swh:1:snp:36b8fa6c1b18d1c6c106cb6327d5ac14e2b4b8e6
27577,https://github.com/ClementGiron/SuperPatchMatch,swh:1:snp:1a07420338286a5f4ac1b1df550ff53d36892982
27588,https://github.com/cran/mrfDepth,swh:1:snp:3d9f0812ff052d0d0095e36fde855847b8c90ddc
27596,https://github.com/JohnCremona/ecdata,swh:1:snp:4b79c5f04d84dbf463f841c8c4b28c8fc166ddbb
27597,https://github.com/kezewang/pixelwiseImageSaliencyAggregation,swh:1:snp:288d6a81080ef89052cc61f6d690e54746a38273
27608,https://github.com/JuliaPy/PyPlot.jl,swh:1:snp:1a4a8895537d4e453c6be09fc32762a3f14ab65f
27627,https://github.com/ICB-DCM/LNAplusplus,swh:1:snp:1f7b639b98379b58508c43afb17f9ca3aeb256f4
27629,https://github.com/scikit-multiflow/scikit-multiflow,swh:1:snp:3f26d734974cfc2ed59bd2ad98597a2c350f8c68
27648,https://github.com/rigetti/pyquil,swh:1:snp:4deb1fe7f6c83f7c2884ae4b0c6e142d0e18661c
27650,https://github.com/rigetti/pyquil,swh:1:snp:4deb1fe7f6c83f7c2884ae4b0c6e142d0e18661c
35566,https://github.com/rail-cwru/rankboostplus,swh:1:snp:bda605829e55a67cbda22a2278bc14f00ea4e132
35569,https://github.com/rbyte/F-GPLOM,swh:1:snp:945a6dde9b0ec617029daa139d75e006720de2dd
35575,https://github.com/cran/MixMAP,swh:1:snp:8440313da5f2826e4e438f5b039879573936e42d
35579,https://github.com/cran/micemd,swh:1:snp:58d7ebf853a8c409c4759843c44b19bae15e36cd
35582,https://github.com/cran/hesim,swh:1:snp:284b1c9ec1da069939948d2a23b23ac434ddb25c
35583,https://github.com/cran/KSgeneral,swh:1:snp:0c9cf9347bda1689062369af31f35badeadb40b5
35584,https://github.com/javierbarbero/DEAMATLAB,swh:1:snp:e087d81f194916f57f55ab558f7109f10935fdc7
35591,https://github.com/cran/RSDA,swh:1:snp:9d32e1e19e17299d668ea9052ad204418c80f339
35593,https://github.com/makrai/gibbsLDA,swh:1:snp:68792461e8d603ee87feeb06bfad80a50d43e4f8
35594,https://github.com/cran/rGammaGamma,swh:1:snp:33830178ae3237173965f76b9e404d9b71098de0
35595,https://github.com/zejin/LNGCA,swh:1:snp:40f660ff037cde005b35a7b7b7fb70addd621893
35598,https://github.com/michaelsouza/bioinfo,swh:1:snp:dac41a537ff17c6491a137d569ebc63f41fdbbd4
35599,https://github.com/jedazard/PRIMsrc,swh:1:snp:102eb269f0df7a7f80b1e877f50edf19b33aa218
35601,https://github.com/sebmart/TaxiSimulation,swh:1:snp:1e53f7e9a0362711f86cd9030201afd9a2d5a0e0
35602,https://github.com/cran/qrcmNP,swh:1:snp:ca1b3a2817491f00791bf7315fd8eeab853b7875
35607,https://github.com/jobovy/galpy,swh:1:snp:2d719ca146c526e9ad018f3c3114ef8c7671fa39
35608,https://github.com/PENTACLE-Team/PENTACLE,swh:1:snp:205858ea8befa9acb121b8a576a7d1d521ebd6b3
35610,https://github.com/amusecode/amuse,swh:1:snp:c8c386ddeea23a3d15a7daabfc4b170cf4c6c2ab
35613,https://github.com/rsnemmen/asurv,swh:1:snp:2796cc2461d14b11c400a4cabe53430da99641d6
35614,https://github.com/jasonserviss/ClusterSignificance,swh:1:snp:ff71886cc7df094d6e70a89c7f28cd9888ead66d
35615,https://github.com/cran/OTclust,swh:1:snp:b66d7c8180bee035804a9de282875d82eeb477dd
35618,https://github.com/cran/MetaPCA,swh:1:snp:60d32e3fe6419d6d8711715192c080032897e7f4
35621,https://github.com/pmeier/pystiche,swh:1:snp:4e12b2ae1ad165fae506083ba19bebdc2274dbaa
35622,https://github.com/mtsch/Ripserer.jl,swh:1:snp:11240eb20cafc97400a8407b24dcb8a78036a7ed
35623,https://github.com/shizuo-kaji/CubicalRipser_3dim,swh:1:snp:8392b5e79b647ab17358b39ffc2b3df3d4c76e40
35624,https://github.com/piever/PersistentCohomology.jl,swh:1:snp:702546d938b50ec01216057466222666c2210eeb
35625,https://github.com/bbrehm/Sparips.jl,swh:1:snp:aec699d3b79d1994aa5f8dfa03f70646f66545cc
35626,https://github.com/wildart/ComputationalHomology.jl,swh:1:snp:ee9c7f775ddd46603b7a2d5295b7e40202d9c064
35627,https://github.com/mtsch/PersistenceDiagrams.jl,swh:1:snp:e64dd288968b909dddc4efa57f79957c7770e36e
35628,https://github.com/luetge/flagser,swh:1:snp:c899c04a766557d09628c28b242e51bc0e330b73
35629,https://github.com/simonzhang00/ripser-plusplus,swh:1:snp:be5d7207fa9ea10f3aa0efc2a31f13f764f26c99
35630,https://github.com/CubicalRipser/CubicalRipser_2dim,swh:1:snp:31c3f9412eab9f4fe6da178263b48ec17a4026da
35631,https://github.com/nicolet5/DiffCapAnalyzer,swh:1:snp:4c8850773fcc3ff845eb917c747d8218ec149e8b
35633,https://github.com/Nico-Curti/rFBP,swh:1:snp:6a7451935e58ab0e8f41976b0b293f28f6677e33
35634,https://github.com/jboynyc/textnets,swh:1:snp:a43f276ebe43f6ebe7761bab60012bf970cef41b
35635,https://github.com/cbail/textnets,swh:1:snp:dcfe1710fd5f59869feb74a01211650f6ee555f9
35636,https://github.com/vtraag/leidenalg,swh:1:snp:a1b9e187f5fd9a73feb3c15f49fec6dc15a1611a
35637,https://github.com/cran/stringi,swh:1:snp:14473f14d312b6ac0d5d02c105b4100c62750a9e
35638,https://github.com/cran/text2vec,swh:1:snp:31877c4d914cc33fb66b857e7618ff21fdef37e4
35639,https://github.com/cran/spacyr,swh:1:snp:51d5b7d598a726dc6663d52c7740cdf4b6ec5371
35640,https://github.com/mortonne/psifr,swh:1:snp:0e0f080dc918ef18256fe93113126293c3c40081
35641,https://github.com/ContextLab/quail,swh:1:snp:5fadd2a975448f686daa3a79bfe52e5acfdc39cb
35642,https://github.com/vucml/EMBAM,swh:1:snp:4924f4aee41acfd2abe5d1f717b3dc24fe045c48
35643,https://github.com/pennmem/pybeh,swh:1:snp:07d032b086985065519656d72330cb97ba94fd05
35667,https://github.com/cran/PeakSegOptimal,swh:1:snp:c1bd6f2c0038644aa1399fd0edbedf556b78628b
35675,https://github.com/CSAFE-ISU/shoeprintr,swh:1:snp:085943238050ecb39949268e4a5619e81e3b3645
35683,https://github.com/codemartial/xqueeze,swh:1:snp:626e1afb934a0dd81da537fbc1f972829ba0687d
35690,https://github.com/AntonAyzenberg/MultiFans,swh:1:snp:9baec0e92900c36c4ec2a16360b95af94510e95b
35694,https://github.com/giftcipher/gift,swh:1:snp:0daada1a6f196c74cd7795d48b331cd56ddb124e
35698,https://github.com/cran/causalweight,swh:1:snp:79076d4d1a09a0a29bc10d8b5d6b9cdeb8cb6b7b
35701,https://github.com/cran/ATE,swh:1:snp:8b40b53bf59b85f7d05c6bd9faf1877ad8d56b8a
35703,https://github.com/Xiangyu-Hu/SPHinXsys,swh:1:snp:d155b7cf846bfa0520d727e4ad8eb2f227f88b87
35704,https://github.com/cheind/pytorch-blender,swh:1:snp:cd13d72da240c0430d950feb8ab32947d46df0fa
35705,https://github.com/DLR-RM/BlenderProc,swh:1:snp:8e990fa5c4eee7c6f24ca929247d35465a8abd03
35706,https://github.com/AIS-Bonn/stillleben,swh:1:snp:fae76daaec345b917abb2a0027219cea912bd7da
35707,https://github.com/NVIDIA/Dataset_Synthesizer,swh:1:snp:5d572a23ac70336af1818c5661a7ef0bdf24e49c
35709,https://github.com/freude/NanoNet,swh:1:snp:c612b69782fbd529bf5ad1681fd3b86aa8cdacad
35711,https://github.com/dean0x7d/pybinding,swh:1:snp:5044702e63c976d01ee98437d3b6c8660a500a39
35713,https://github.com/theochem/horton,swh:1:snp:d78491e19db14b359100b777e5b51fddddf0c214
35715,https://github.com/psi4/psi4numpy,swh:1:snp:7bddbdf4cfed82d4fa592de2dc8d935ba5c544f0
35717,https://github.com/sp94/Peacock.jl,swh:1:snp:882e3cbbc82631de15c2deb9d954555e9f56c52b
35719,https://github.com/node-ffi/node-ffi,swh:1:snp:5d7a075e33e69a47078dd384a79753bbfdbf2bdc
35720,https://github.com/AccelerateHS/accelerate,swh:1:snp:24e119c6c2347a47f16556f99ee14f59881d35c1
35722,https://github.com/SPHewitt/OpenFPCI,swh:1:snp:6550e93474f3d2aee6bf8172e872de6199043f0e
35723,https://github.com/sstoupin/dtxrd,swh:1:snp:ede7a2775174a24af8e4c47d766d1a7ba8823f0f
35726,https://github.com/ml-evs/matador,swh:1:snp:d679080e9905d3691491f11f8b6613dcac63c316
35729,https://github.com/SMTG-UCL/sumo,swh:1:snp:4ef84049d9c5d24db2981b43e535778160baa8d3
35765,https://github.com/soberqian/TopicModel4J,swh:1:snp:9cdf60c031e7ed0f1c73ac9cbd3021ea62d95a68
35776,https://github.com/microsoft/ProphetNet,swh:1:snp:fc43de02583bf57669bc6e41b46ab2169e5daa0e
35990,https://github.com/KathrynJones1/catwoman,swh:1:snp:3fd97d22c8d201cd6cc9e3870bbb577394f1ccb7
35991,https://github.com/rodluger/starry,swh:1:snp:04ed8b1cbb5ab255f0cc7676945f2b94c46f700a
35992,https://gitlab.com/geekysquirrel/bigx,swh:1:snp:0e94e88867e19a6060de7b9bf9122283f204724c
35993,https://github.com/tomchadwin/qgis2web,swh:1:snp:cc2f06c4fffe69ec49ce77e6fe97049f1f67401b
35998,https://gitlab.com/LMSAL_HUB/aia_hub/aiapy,swh:1:snp:649a0ec242b05c8e1fc1383008a7811acf88a145
35999,https://github.com/sunpy/drms,swh:1:snp:5746ce60062f0c17ea0057f00850f7ec22fdebda
36000,https://github.com/bihealth/sodar_core,swh:1:snp:f98565ec18373c52b474d05114f4569cb2e91989
36001,https://github.com/bihealth/varfish-server,swh:1:snp:d47410a8570b06809c9a8f57940a8720084a46fb
36002,https://github.com/bihealth/digestiflow-server,swh:1:snp:0ed49c371cd59da5c331259a65cdd75ca71fab76
36006,https://github.com/ECSHackWeek/impedance.py,swh:1:snp:7ebe72ec0910ad42a42c7753247906fbd660d5f5
36007,https://github.com/rhenanbartels/hrv,swh:1:snp:c3d123150402a6000f031d50f7537c10cb093dc2
36008,https://github.com/rhenanbartels/SinusCor,swh:1:snp:3eb65a465bb2e9e491f677f65520ee25c6eb1a61
36009,https://github.com/cokelaer/spectrum,swh:1:snp:849573b317401f99bcc1f2754312c4fc6b10919a
36010,https://github.com/PGomes92/pyhrv,swh:1:snp:bcae84f5fb7baf4e1af7c16587ad4e91738763bd
36011,https://github.com/johannes-titz/mimosa,swh:1:snp:8907e17bd4bbb3b64e101ebc258712939c00cb6b
36012,https://github.com/samuelduchesne/archetypal,swh:1:snp:d4c6b323b66b7ebd860fb89e367f54dbe6b8c898
36013,https://github.com/santoshphilip/eppy,swh:1:snp:596c56a9a0c350bc64eee8cb9e2bdea0cb11fe55
36014,https://github.com/jamiebull1/geomeppy,swh:1:snp:6d0c0e8331f6338eefba7c15c282ab8410455ba7
36017,https://github.com/bblankrot/ParticleScattering.jl,swh:1:snp:537dddfd6bc56ea251bdbc20318bf3d5e3869f38
36018,https://github.com/KristofferC/PGFPlotsX.jl,swh:1:snp:b9d4d2ea25758e313dfa17b6751a6e89c6f647b4
36021,https://github.com/AKSW/HiBISCuS,swh:1:snp:98021da35c5a6f83c38aa6652b0d80dd69f16ae0
36023,https://github.com/anapsid/anapsid,swh:1:snp:783122e71ed1f97ea76355ed2d23f7343fc1e4a3
36038,https://github.com/GSBicalho/TrueNgine,swh:1:snp:e3c21b52552043480ff5ed76ffb28219f63d333a
36043,https://github.com/michel2323/AdjointMPI,swh:1:snp:85b7c703c451351a2ed892ea0f8887a5a1a95d7e
36048,https://github.com/pysathq/pysat,swh:1:snp:adde94aa6f632896811f11154acf902d41e6f3e7
36051,https://github.com/AI4Finance-LLC/FinRL-Library,swh:1:snp:ab8393451c8c7340199ea2b0e920a6d228fc7e73
36052,https://github.com/quantopian/pyfolio,swh:1:snp:58e4b0b95614191e972fd3deceda9df8728bd889
36053,https://github.com/i-machine-think/diagnnose,swh:1:snp:0277f91efb720af754a456f965d62323f59feec4
36054,https://github.com/nyu-mll/jiant,swh:1:snp:5ed71cfef826e1e4c3b529371b1f40642a96ab48
36055,https://github.com/psf/black,swh:1:snp:8f0e2b7de0d558d65c33c96626a4619396ec7610
36057,https://github.com/petr-zima/mac-homog,swh:1:snp:344c1da0aae38c34515be6e0253a0ffbf0a1baf9
13990,https://github.com/cran/RStan,swh:1:snp:e130c481e8ec0425c0404dc246c889c60aa2f9a7
15546,https://github.com/Wikinaut/agrep,swh:1:snp:fb31957067f1e832dbb0f9d6340828a00a91332a
15547,https://github.com/cran/emil,swh:1:snp:fd72078935ff24d7de02d0b96a98d196be748002
15548,https://github.com/cran/simstudy,swh:1:snp:56462a27c8f3e5cb9faa8d7a9977ebd95baac00b
15549,https://github.com/cran/texreg,swh:1:snp:a1961ce22378c45ab7e295bc8df6aa278e882351
16074,https://github.com/cran/longpower,swh:1:snp:76d1b9fa5bef4150961e8d4b16bddb4aa351be9c
16075,https://github.com/cran/MSCMT,swh:1:snp:935000d1a7119f24ffc983f9135f4a3be9dd5025
16077,https://github.com/cran/VCA,swh:1:snp:47507b99b9edb4e6f1edb1e572f21c3b732dfb9c
16080,https://github.com/cran/htmlTable,swh:1:snp:4a15c25edca2390912563542f33c500f5614ba3c
16081,https://github.com/cran/magick,swh:1:snp:bf6ea5b26e8aa5d6fbe7885df9f893126f72b679
16085,https://github.com/cran/fulltext,swh:1:snp:24edf71c4a29b8f201750bdd6f86bf7abce09cba
16086,https://github.com/cran/track,swh:1:snp:21e1a04ec0d5a7f09983b8404f7bbe9852fe7011
16087,https://github.com/cran/CorrectOverloadedPeaks,swh:1:snp:9b6a35f6a9ae223e7ad6f4a0aedc1ca93de8d64f
16093,https://github.com/cran/scriptests,swh:1:snp:55c0828b2cbf86f0d553405523a0399cbc909c8a
16099,https://github.com/cran/noise,swh:1:snp:3a87cdc2bf4a808084b6088609ccfcd9a5ae7c81
16102,https://github.com/cran/RCPmod,swh:1:snp:fe9569983cb33b5652f7addbdcdcb1f688f62f00
16103,https://github.com/cran/rstan,swh:1:snp:e130c481e8ec0425c0404dc246c889c60aa2f9a7
16106,https://github.com/JuliaDiff/ForwardDiff.jl,swh:1:snp:b14132e0fc584a7dc42aab6f4dfccaebf7166959
16107,https://github.com/b45ch1/algopy,swh:1:snp:cf66d93c291353b86e74a08bd2ebfa5112bfb827
16108,https://github.com/JuliaOpt/JuMP.jl,swh:1:snp:1a2c3b84d3fdc4d9150d62a8d2bdf6d539cd0268
16121,https://github.com/pandas-dev/pandas,swh:1:snp:cd4b17b0732173fc19a764bcc5751878dfa1c2c5
16125,https://github.com/cran/digest,swh:1:snp:2e905a85bea0dd85618ba519fb79a5559ed1adf0
16128,https://github.com/cran/mtconnectR,swh:1:snp:1f107f30c3659577469fafec75569bf51eeacc0b
16131,https://github.com/cran/Cyclops,swh:1:snp:dd7cd2db7cd304cc5b4a0c165e1082f271d976c0
16134,https://github.com/cran/lazyrmd,swh:1:snp:fecaf40c03dedc9cc8d4ccf16ce9c0ee6e40255e
16136,https://github.com/cran/rtweet,swh:1:snp:ebad9e8fcf3154c2a62efbaf87bd55d4aa5ef8a4
16138,https://github.com/cran/tutorial,swh:1:snp:a444ae4c67c8428202e9ad6909687d04a92b312f
16143,https://github.com/cran/ggpmisc,swh:1:snp:f932516a5b6f40cfb87201c52f3912f16883f55c
16145,https://github.com/cran/RCMIP5,swh:1:snp:8d597ed7452cac82926ce421042c31a020799ce9
16147,https://github.com/cran/spdplyr,swh:1:snp:08be345c8fdafe6462cc84467c5f8f4d1653e83e
16152,https://github.com/cran/SPreFuGED,swh:1:snp:6e8ed93276cc96c878b0e8535cf687ee17aad2f3
16153,https://github.com/cran/toaster,swh:1:snp:88e8f3530156e1953430e5e47002ec2e24949573
16159,https://github.com/cran/EMMIXcskew,swh:1:snp:aded01b7aa53fdc222037b66e041881a3b1c422d
16165,https://github.com/cran/AdapEnetClass,swh:1:snp:e454a88669a772af7223408bd30de4123e8a3c82
16184,https://github.com/cran/gem,swh:1:snp:009ccb565c939f0c23bcc31c68c561f514e628af
16185,https://github.com/cran/coala,swh:1:snp:047dae997b0d2d74bc7f734da61e4c9dcb17bbf4
16257,https://github.com/cran/TeachingDemos,swh:1:snp:df2442c99aa2240c24c565e33ec11fb4548aa176
16259,https://github.com/cran/Bayesianbetareg,swh:1:snp:3e56c86b1b15969a15b620f3db893c5a5dbef688
16272,https://github.com/cran/PST,swh:1:snp:346f8afe32cc7529887e0338999efa18324ac0ef
16277,https://github.com/cran/rdrobust,swh:1:snp:a0cc22bb7d9c03e01c87270585a9973b08acbb2d
16279,https://github.com/cran/TMB,swh:1:snp:d208f2d99f9be414e79911b2a811a61c0b6485d9
16349,https://github.com/cran/Emmixuskew,swh:1:snp:08c8c66ff4147e8ec2950cdd26073d394ac39999
16385,https://github.com/cran/circlize,swh:1:snp:51c17c484bfc1e972d806f6efd15bd74e5753ce3
16389,https://github.com/cran/WRS2,swh:1:snp:90ce5d78cce8003d4b263f64827a0d42ab8c0c45
16392,https://github.com/cran/CDF.PSIdekick,swh:1:snp:eadec418968fa1399d79ddaf5c95222f75d9e0b5
16393,https://github.com/cran/DecisionCurve,swh:1:snp:bc979251d42f065382df04fdf919fb7cfde9e2f0
16395,https://github.com/cran/GlobalFit,swh:1:snp:2008a1f34a7f5f1d37dc60e084a309bfb7c67f2e
16396,https://github.com/cran/hyperSMURF,swh:1:snp:14918292abe119c4e462e00c020f6451f1bdff8c
16397,https://github.com/cran/BuyseTest,swh:1:snp:348b861be062b4aedc25f1972e7488d4023e9ba9
16402,https://github.com/cran/phybreak,swh:1:snp:4840d337d4fc0876e5fdd47d242cf2bb5af2a259
16418,https://github.com/adiyoss/StructED,swh:1:snp:bff34af49f0400f8223921fe98e68c09ce5254e9
16422,https://github.com/cran/electionsBR,swh:1:snp:400256ab47579c3636aac6a7368652dbfea2f187
16424,https://github.com/cran/tadaatoolbox,swh:1:snp:550a0c561928c9a64b33d1c32fcb43434dae79d9
16427,https://github.com/cran/pauwels2014,swh:1:snp:db131cf486252e469e35011e94d0ec49f4e9ac39
16447,https://github.com/uviwave/uvi_wave,swh:1:snp:7b1f59063c3171540dd19c83e7edd531ebd8021e
16457,https://github.com/Accla/d4m,swh:1:snp:05aa3d7e2f595cec5d4ba5da7f65cbf75132fbef
16503,https://github.com/cran/onlineCPD,swh:1:snp:fe2c0a36a7618c3cfb69eebd372a8e48c6738533
16504,https://github.com/cran/respirometry,swh:1:snp:1169a878333da32086a52f274810e61c414218c6
16505,https://github.com/cran/cooccurNet,swh:1:snp:67aae6e4a003cb32fae98aafdc11bd101a5f3df9
16510,https://github.com/cran/matchingMarkets,swh:1:snp:2dcff438e357d7894bb2a1c96c27d1f0df27a13a
16523,https://github.com/cran/dataview,swh:1:snp:1038363519a8f6d0294d40a7be4d0b09af39663f
16528,https://github.com/cran/bigpca,swh:1:snp:1530205630ab71365a50f5aa1f7e34708a4d8a7d
16549,https://github.com/feigelman/matLeap,swh:1:snp:0006eac5473ba4fd5839f0f84ebd97c9d5a3fc8a
16565,https://github.com/cran/BayesBD,swh:1:snp:acefce5c6e75afb1bcb946638a72329a9b6135cf
16573,https://github.com/cran/tweenr,swh:1:snp:6b98a9d64a1ed7765deb5fd10312e514473a749f
16575,https://github.com/cran/BiodiversityR,swh:1:snp:e245d24cd4abeef85754a1b7d64e46ffbc614f3a
16577,https://github.com/cran/lessR,swh:1:snp:cb00bdd7669d8d73177fa0a5f25b90ddc8120b62
16580,https://github.com/cran/RcmdrPlugin.EZR,swh:1:snp:5d76065d1f265354e186110c239943bbfc4fbc36
16583,https://github.com/cran/AHR,swh:1:snp:26adedf00070fb4bca0912cc04c46e8a505707c4
16591,https://github.com/cran/AbsFilterGSEA,swh:1:snp:6d3f762e54577ac376095387852574e80cc459e9
16593,https://github.com/cran/dagitty,swh:1:snp:a3cbdee13dc55c23588d79bedde889a436e928dd
16596,https://github.com/cran/QuantumClone,swh:1:snp:d1f1a4dd1fe7d029395a502acb7a76272652f1f7
16598,https://github.com/cran/rplexos,swh:1:snp:28bc53eb983da4e52ca9c470c0f8d42542161169
16600,https://github.com/cran/TSmisc,swh:1:snp:93f3fcee7780940051a725aa2dc2c624c6fe52b3
16601,https://github.com/cran/TSsdmx,swh:1:snp:3a8503a4f76150e7efeeece11dd5130aa9d7a3bb
16632,https://github.com/cvxgrp/scs,swh:1:snp:fe3823d9d09ef924d14cf92fc22a69735f0cff72
16637,https://github.com/flame/blislab,swh:1:snp:880d3ef6d9751488fd510ec7db2fe692a6c496d6
16662,https://github.com/projectchrono/chrono,swh:1:snp:3161a6c0d71a011b6040be4b2fab55d09bd77242
16667,https://github.com/cran/InterpretMSSpectrum,swh:1:snp:091a4753743aa1e6d9f80ea7f8be275f6b4f1689
16669,https://github.com/cran/Trading,swh:1:snp:45d4b0e4d6f437dd29b1c78173cf7689bf5dc5a8
16670,https://github.com/cran/BioFTF,swh:1:snp:be4232f98f20d2319b712b4bf271f6265397bc7c
16671,https://github.com/cran/imager,swh:1:snp:e35ed89072d1123fed095de0a1fc9f27bc796168
16675,https://github.com/cran/advclust,swh:1:snp:5fa79608e6b5bde805e4fa5deabbb92ad6716c1b
16677,https://github.com/cran/RcmdrPlugin.FuzzyClust,swh:1:snp:ed1f72b2636e5af1519ccdf768f06b0b3d12a622
16678,https://github.com/cran/lctools,swh:1:snp:86b52681bffe49b1b2ecfb8022ca850fa3dbdd78
16680,https://github.com/cran/misclassGLM,swh:1:snp:83792b4f1082eb75fd337c38706c72660d0dcdf3
16688,https://github.com/cran/erah,swh:1:snp:82d11500611fc9eb18c266669b6643cfbdb2dcc7
16689,https://github.com/cran/icd,swh:1:snp:e1fc4141ca2cfbf05b0ae75a78fff99af29ea046
16692,https://github.com/cran/nhstplot,swh:1:snp:cc41c60abc5804ff49178e9cc558f042bc6306c5
16695,https://github.com/cran/ACSNMineR,swh:1:snp:a849abbd3ce4dace0a4bd1a82140ccf02b348d69
16701,https://github.com/cran/VRPM,swh:1:snp:fa31289728b1d42883857f5118037d26bf8bbf4b
16704,https://github.com/cran/NFP,swh:1:snp:ceaa413381510410a89e2d2ea0dc7351faea7b27
16705,https://github.com/cran/proportion,swh:1:snp:7c5613228ae149662eef7d617db42a05da7a4017
16706,https://github.com/cran/recordr,swh:1:snp:9e8913b622c310b0b1fdc0deb4d957ffffe4fee2
16715,https://github.com/cran/sglasso,swh:1:snp:fb88df622f1f2eb2225c2c98be0c6361643ef450
16725,https://github.com/cran/HHG,swh:1:snp:70017ad853039258359fff9161e5e8f911790557
16728,https://github.com/cran/qrcm,swh:1:snp:f90e8b601bc9614fca58e5dc23faa6880e1b7385
16731,https://github.com/cran/DSBayes,swh:1:snp:d10821748c7ad8b1965172d810703ac615292caf
16750,https://github.com/cran/rCUR,swh:1:snp:06487e674a284fa58ffcc87797471c0a993b8a8d
16763,https://github.com/jonosquire/VEST,swh:1:snp:f1fa35e2253ac16115b65db6ad02795b2311fb22
18173,https://github.com/cran/CollapsABEL,swh:1:snp:f2969755a8fe831eeab9c4971ddd1488a1e39b81
18174,https://github.com/cran/errorizer,swh:1:snp:194a16ada2b4aaa2f55160049851b945b838e3ca
18176,https://github.com/cran/scrm,swh:1:snp:62579323b12d4fb615a3c343cfc6cd9c9c9ebc1f
18181,https://github.com/cran/LendingClub,swh:1:snp:0539f0e91e2c40d499fd4717bdcc60ab2a5dae7a
18183,https://github.com/cran/valuer,swh:1:snp:b76375eb3136c24c7c771a5bd8e5a67dea248a4e
18184,https://github.com/cran/WaveLetLongMemory,swh:1:snp:73596ba2dd827e2125be2222bf188d196edebd9f
18257,https://github.com/cran/REPPlab,swh:1:snp:6427654d25ccd7a6d0400d66cb98023146c6c6ea
18258,https://github.com/cran/ICSOutlier,swh:1:snp:ad104e713088f223495d058336287303dc13c4eb
18260,https://github.com/cran/factorcpt,swh:1:snp:490ebd3bc44c15379cd3cf75fbd01c5051ebf18e
18306,https://github.com/gap-packages/xmodalg,swh:1:snp:acf194c59ec72436c625b8a57b77bf1e7c3c384c
18336,https://github.com/rmagick/rmagick,swh:1:snp:e3e44e48fb959a5db2ea8cd0b78a14407555cf43
18352,https://github.com/strakaps/fracCurv,swh:1:snp:23939ee10fc71e6f9411738cb63d8f4e2442ceed
18361,https://github.com/cran/ETAS,swh:1:snp:14ece37f56b1a63cc698fcc57ef2bee4147104f7
18366,https://github.com/cran/xtractomatic,swh:1:snp:4b1604d6bd98ee2b1ce7a2df36acf8928b30552a
18369,https://github.com/cran/FTRLProximal,swh:1:snp:81714e8aea0fafbaf9bb7c10f35eb540dcc47b8a
18373,https://github.com/cran/coxphw,swh:1:snp:8fc5fc6ecc18d544c1a3d4d1c8d910bb094761c8
18378,https://github.com/cran/rclinicaltrials,swh:1:snp:8927f6ff9378e558375e86f6049c3e6fc9db9d07
18379,https://github.com/cran/awsjavasdk,swh:1:snp:ce113d66802eb0761ecec3c27f5ad7d1e4694b32
18381,https://github.com/cran/KnowBR,swh:1:snp:b2782527dacf447f75b95012d92c0aec478378be
18387,https://github.com/ajt60gaibb/FastGaussQuadrature.jl,swh:1:snp:62b890bd2d1656221b5ecb5c8cac29dba0b69a53
18394,https://github.com/lockEF/MultiwayRegression,swh:1:snp:2d2f48949f41fe46a9baf1219a79f521363e6162
18395,https://github.com/ramkikannan/outliernmf,swh:1:snp:dcd6596c1646d3221d9543d9c4d5348e97c03fa8
18396,https://github.com/PROJECT-CDMATH/CDMATH,swh:1:snp:48a0fcd6bbfabdc09474e03ccac0e9020b9524a0
18402,https://github.com/cran/IndependenceTests,swh:1:snp:a7057186084b8f55d034c3e0f7dc381d9223d3d6
18419,https://github.com/gap-packages/intpic,swh:1:snp:cd2057ab7003157cbcfa7396f2ef62285a72623c
18436,https://github.com/cran/CampaR1,swh:1:snp:7a3dd0eb3126bd776c672c7288e3d0dec2972827
18437,https://github.com/cran/choroplethr,swh:1:snp:2db9c0a99964be667486352b98c7edb32a2d2499
18441,https://github.com/cran/MODIS,swh:1:snp:6294e1fd7e814d31f5e61f55081298b38d5f6788
18443,https://github.com/cran/reprex,swh:1:snp:243c8bb957b8d58ea215e0454a4bf35f0010c068
18446,https://github.com/cran/dynr,swh:1:snp:cf938da61d7ee7cb346a4f3d8172e60af9fb5628
18451,https://github.com/cran/ReporteRs,swh:1:snp:1726c28df4e04878e36dd17052d4424c782cf6bb
18454,https://github.com/cran/stormwindmodel,swh:1:snp:75b81aa790bfbe30afc16d1c0ebe8bf8251b4b24
18458,https://github.com/cran/clustRcompaR,swh:1:snp:47558fd2873095bcec73646d5237f310660b9f0c
18460,https://github.com/cran/MAMSE,swh:1:snp:1dd6c54b99ddf80dc9cba88dbba0ac3297e4da5f
18467,https://github.com/cran/cairoDevice,swh:1:snp:6fcd8be1f096771579512ac2487286a5ee482eca
18468,https://github.com/cran/eHOF,swh:1:snp:077f66f71168ef2278172fb2b800b99c5f0a8f41
18469,https://github.com/cran/epifit,swh:1:snp:005158e30b82935d4114c74148924c981ba3f3b5
18470,https://github.com/cran/GEint,swh:1:snp:11f4ae8466e2add11832152de6d666eeba808803
18476,https://github.com/cran/rodeo,swh:1:snp:3a64848bf889bab8610d2db8a3f18ab2a4946719
18477,https://github.com/cran/rpostgis,swh:1:snp:8f4c4c75c7be5bfd75c7251b1eea6875fdacfae3
18478,https://github.com/cran/rtrie,swh:1:snp:5266e7a9f6e9c304f4df96547d0e31c6b04494dd
18479,https://github.com/cran/stremr,swh:1:snp:29670d36bebc3792b47ab9f4081a9cd24e0cfe2e
18480,https://github.com/cran/uroot,swh:1:snp:12da37702913153bc7d689458540e09645d32686
18482,https://github.com/cran/getCRUCLdata,swh:1:snp:4bc3f9584cf120cef3445ce5d7bf72d5edb306ff
18486,https://github.com/cran/msaenet,swh:1:snp:8a5fb90fb8cae8938acd448ca9a9d6c3cc22c737
18493,https://github.com/thomasbaar/simplesma,swh:1:snp:cf264407787a12b5241cf8cb26337e791b30f9a3
18495,https://github.com/skrivvy/pyblame,swh:1:snp:56a9700bc7dbe4aaa198d1287991928e51e410f2
18519,https://github.com/ngorogiannis/cyclist,swh:1:snp:78ec7d28c5a32c1f82147eeb8684f36ba926e1ee
18525,https://github.com/sosy-lab/java-smt,swh:1:snp:5482de5f0e3d9fe3b37d72c7ebd748e06ddc718a
18538,https://github.com/libocca/occa,swh:1:snp:3c52a670efb8be11df17dc785ee4ae40e27384d2
18549,https://github.com/leerichardson/spew,swh:1:snp:09d924946e249613cff9bbcad457ad5d83f3a9be
18561,https://github.com/dkrashen/NefWiz,swh:1:snp:20c02ff6c349e5d3f23690e049437db92f746404
18576,https://github.com/cran/iLaplace,swh:1:snp:b35078db2ef8fee78d000ac35cf0e1681a826fbc
18615,https://github.com/cran/MixedDataImpute,swh:1:snp:db102c87cc53a5ed1b9cbffe3cdc66628c7a4c06
18683,https://github.com/cran/Cprob,swh:1:snp:c968847094641f23b39d51c7f51f1d4c44ef4c35
18684,https://github.com/cran/icamix,swh:1:snp:39b1c78a384b00ce46e70c7401449ac4fb543bbf
18685,https://github.com/cran/rorutadis,swh:1:snp:2212025c7577356991bfc23be5a779872e65faa5
18686,https://github.com/cran/bootnet,swh:1:snp:7b052dc3b897c6a91e8dd0b335ebc2903dd21caa
18687,https://github.com/cran/cleanr,swh:1:snp:252ac1819ecb2433a3a37985c009ecf9328d92a5
18689,https://github.com/cran/grattan,swh:1:snp:50405ecff846aa156ddce41a6bb898563be1a386
18690,https://github.com/cran/MADPop,swh:1:snp:b3d6967ef40dc51205a0699616fc0b16afc87a31
18691,https://github.com/cran/metScanR,swh:1:snp:670eec723bbb2cc009b4195c49da7978f9cb45f7
18692,https://github.com/cran/rgho,swh:1:snp:24c9c6a51f02911748d61530d70330c2781a71c5
18695,https://github.com/clab/dynet,swh:1:snp:655349df89063058aa1a3a1bb676e2aa52b2c56d
18722,https://github.com/MatanZ/coco-ii,swh:1:snp:ca7e13b42c7e02a096f38ab1e81762ee5de35365
18728,https://github.com/karmel/vespucci,swh:1:snp:ad61ff900ce746c78e5555b7144e1e965393d4a8
18757,https://github.com/KIOS-Research/matlab-contam-toolbox,swh:1:snp:ebdf9b03c6bbf04a5b907a1816d16080792ad9ed
18762,https://github.com/cran/PopGenReport,swh:1:snp:7761c9819ac20f0ba9bd74b18a46ab2ba4db071b
18765,https://github.com/cran/wallace,swh:1:snp:97107823874d69d4f70cc42621368baacd7f6dc4
18766,https://github.com/cran/adapr,swh:1:snp:e7a70d534c73f37639f43ec90322f34ad19e1e07
18767,https://github.com/cran/cleanEHR,swh:1:snp:6683541daeafd1fe36136a362eeea668fed22121
18768,https://github.com/cran/DESP,swh:1:snp:4061c3e976b4dc31de4af9c6b2dbf3766ff0ca57
18784,https://github.com/cran/lmenssp,swh:1:snp:af2fbfcc77100a8c973c5df09c0db5f3b35d3237
18786,https://github.com/masedki/MHTrajectoryR,swh:1:snp:89b3a07ff3ae7b0160555c68119518a6c138e727
18799,https://github.com/optXuDLi/QSDPNAL,swh:1:snp:d155896c7606dec8d4c54cef55c6072bb131184d
18804,https://github.com/mpicbg-scicomp/gearshifft,swh:1:snp:6a8692a46b9970f7a605961c472d654679e02acd
18805,https://github.com/clMathLibraries/clFFT,swh:1:snp:7a193d8e18057d035702426a1dc0d04f5c79419f
18816,https://github.com/cran/GCalignR,swh:1:snp:4b2da2b923a9e0941e6e82405faed3b4e0270baa
18817,https://github.com/cran/GrowingSOM,swh:1:snp:ad9030771de6f9b0bbb5c852cad5f17ca754994b
18818,https://github.com/cran/lidR,swh:1:snp:90abc5e823986c10cc5caef21f1c37945c74e5e1
18821,https://github.com/cran/mdftracks,swh:1:snp:9947ebc3a598273e0d7da6e32b5bd4860a7de6ad
18824,https://github.com/cran/sarima,swh:1:snp:24a5f631129e5b621e278fcdb7c524985cc1fe40
18825,https://github.com/cran/supportInt,swh:1:snp:bf6f5319a904f3907e28a937a52391d7e9c3ad18
18828,https://github.com/cran/mosaicQA,swh:1:snp:daa89fbab81c362986586266a458729ee22b5626
18854,https://github.com/cran/pathClass,swh:1:snp:6365bec2abcde76934dc80dcdb7d957724e1a221
18864,https://github.com/vissarion/respol,swh:1:snp:2a72cd459aa5f3f68a1a1b2dbb5bc72c2f26bdf5
18872,https://github.com/jbms/ecmh,swh:1:snp:0391209547362d1b75b61f6e47228ed3c0402c40
19381,https://github.com/dncR/easyROC,swh:1:snp:ef8a9658ccdf83d289f216a59854ffcc1e3c1731
19382,https://github.com/cran/sbtools,swh:1:snp:b36a7f3f02f2186836680d14becc846eda4a3ea1
19383,https://github.com/cran/stochvol,swh:1:snp:f2917e1adb67920150ebbdd63dc7dd98b6469b2c
19389,https://github.com/cran/CNVassoc,swh:1:snp:dcf19d592a8bb2761c9daaf82b62b2b4a73ae7a2
19396,https://github.com/ofmla/seiscope_opt_toolbox_w_ctypes,swh:1:snp:0d2ee6dc38892a6bfda77eb985d07b0050414dc1
19404,https://github.com/gap-packages/liepring,swh:1:snp:3bdc0c113fdededb73a5c01fbca4bbacd049aa7e
19418,https://github.com/cran/hmi,swh:1:snp:a9df9353e459bfe45d9952370a962fa879c8f5a1
19420,https://github.com/cran/loo,swh:1:snp:92e850765e8caa12d736c82d15cc361c2d55cfaf
19423,https://github.com/cran/viridis,swh:1:snp:b2c99061624f679898f5fadadc3b0ae5cacb4657
19424,https://github.com/cran/flextable,swh:1:snp:35b11b0dd82b15bd0b8ce0f09221580096ea16cb
19427,https://github.com/cran/likeLTD,swh:1:snp:cf6f6d3b1c078c37ccdf39471b611ffebb38c730
19432,https://github.com/cran/RxODE,swh:1:snp:b18e443eba330ec58501739afb9925ed37a1d636
23328,https://github.com/KIOS-Research/matlab-contam-toolbox,swh:1:snp:ebdf9b03c6bbf04a5b907a1816d16080792ad9ed
24632,https://github.com/cran/PACE,swh:1:snp:b9b6aa1d258ae87f479eb991ef9703eee44052aa
24635,https://github.com/cran/mapReduce,swh:1:snp:feb3e3f3811ffaf1c5c14ea4343d57a0dca5c3bc
24641,https://github.com/bwallace/OpenMeta-analyst-,swh:1:snp:0fbc19f77018a72ce293e1c72e9b2c0a7eb3b615
24650,https://github.com/rforge/kmndirs,swh:1:snp:0ccb785a64169373b5b2e24f365fa80b146ba5d5
24652,https://github.com/cran/survcomp,swh:1:snp:018fb386d9497b09286b439eba26446ff0f86081
24656,https://github.com/cran/pathmox,swh:1:snp:d051a858e2860508791d4ade39109b2e2a9e06b0
24658,https://github.com/cran/RSVGTipsDevice,swh:1:snp:c67212c0b0ea099dc5919b5cd886b3f60197879f
24670,https://github.com/equaeghe/mcohconstraints,swh:1:snp:d11637bc72114c1bd51072a4aece542041c50e4a
24674,https://github.com/highlando/TayHoodMinExtForFlowEqns,swh:1:snp:60005ab31edeff3329b5f854bf928d8165f8bb62
24675,https://github.com/ManuelMBaumann/genpod,swh:1:snp:896dabb9548322e07a5a9f251a67fdb2d5d75da2
24676,https://github.com/highlando/lqgbt-oseen,swh:1:snp:42bb06ed9009c4a4d4f1bfddb7af05cc3bebe33a
24677,https://github.com/audreyqyfu/mrpc,swh:1:snp:191b7a5a7e1b78457939083d8fbc939e17f5557b
24680,https://github.com/cran/WMTregions,swh:1:snp:eb46d18251f4196a5b5032c1a33f71698dd1098a
24681,https://github.com/cran/tlemix,swh:1:snp:bf80bd80b8f026ac75bb2f1ab88fd056a1beee8f
24682,https://github.com/cran/bayesclust,swh:1:snp:e8341b359081a89b084ec1e6aef60afc531e1268
24685,https://github.com/cran/survivalBIV,swh:1:snp:de95fe0fefb5bbe0a7b5ddf1ac08aec993ed3c37
24687,https://github.com/cran/nor1mix,swh:1:snp:748dda9158140fa3afb4d137a2fdb51ffb6a4d37
24688,https://github.com/cran/bild,swh:1:snp:bffc56f8ecd103c713c4238aac191b6b1b5f9cd2
24691,https://github.com/cran/aylmer,swh:1:snp:5651f0affbb2b2370519ab3f61313b179e45e30b
24692,https://github.com/mreppell/FTEC,swh:1:snp:64aeb26b89d87c700ca4602f910c2a3cd7712804
24698,https://github.com/akeranen/the-one,swh:1:snp:457999f5ba7d2b4b27771b684c243a4976947a3b
24703,https://github.com/cran/arf3DS4,swh:1:snp:115c1b2a27fa96236546cb2c7de9200873f31a72
24704,https://github.com/cran/Rniftilib,swh:1:snp:18c2840f8031e7987b90ac21521ab9dcbf7b64c2
24708,https://github.com/cran/tractor.base,swh:1:snp:c647f28b6c0e064576f416456a31c88ef024e7ba
24710,https://github.com/tractor/tractor,swh:1:snp:e83c83191c1b760756ea80c7932cc74675b005e6
24712,https://github.com/cran/cudaBayesreg,swh:1:snp:0fc4d9be938bda75c380a12f954d9df012105f2c
24713,https://github.com/cran/dpmixsim,swh:1:snp:93263d1ce91f00eced85134d02a0fbe57199604c
24715,https://github.com/neurophysik/jitcode,swh:1:snp:bce9b9074b31dd7fee2969362ae70989a5f8d746
24716,https://github.com/neurophysik/jitcsde,swh:1:snp:4a2e4c9d150f61f73b513ce50aefca013ac55155
24724,https://github.com/chuffed/chuffed,swh:1:snp:711abc8d56115e532530ab08d806825348892ca5
24727,https://github.com/martinamaggio/rt-muse,swh:1:snp:774f831671a19ba0d51adaa5f8f6b5c7adae7a9f
24733,https://github.com/cran/epinet,swh:1:snp:fc4b7467cea541cf4c3cc6b8f1784ad6b3242f7f
24736,https://github.com/EliseJ/astroABC,swh:1:snp:6778e36722dd073e6eaaa5bf6ad45ba4b759d5cd
24740,https://github.com/jsollari/popABC,swh:1:snp:7293efff0a0e3c53bcbd00ffc839903d0e184a6a
24741,https://github.com/mertensu/ABrox,swh:1:snp:5c60fafbeb6a18dbfab4ea1c558b99c092d55e22
24742,https://github.com/jovana-mitrovic/dr-abc,swh:1:snp:0e47d5e126bed765ad51834922f601fb7627984f
24751,https://github.com/cran/dcemriS4,swh:1:snp:27a60169e3ab9e8a47afd7488ecaf0a6dd687932
24752,https://github.com/cran/cudaBayesregData,swh:1:snp:cc838cbbf88eabfdadb2fa02599fb98aa32466a4
24753,https://github.com/cran/DATforDCEMRI,swh:1:snp:21fa03dee6e45bff9f5a4984219a35c72dc6d43a
24754,https://github.com/cran/R.utils,swh:1:snp:39bbd625466f4b0ef6d6541287b09b2a59814818
24762,https://github.com/cran/discreteMTP,swh:1:snp:fc8cfac7f44d12b6bf1630040ef70776e0c06aa5
24764,https://github.com/srautonu/DNABinding,swh:1:snp:8a5a88d5fde85905b3049fca6204ecdb7fe9f8c0
24765,https://github.com/jmchanglab/PSLDoc,swh:1:snp:d7990e82b96ec9ca0eb672086fdf5c3edc2263a2
24768,https://github.com/FeynCalc/feynhelpers,swh:1:snp:3ffb642e98fd8cb9e159e2623b7bb8fdc34fc7a9
24772,https://github.com/katsiatyna/pynauty_0.6.0-modification,swh:1:snp:4042a48ccbcb4270859bc7f74e07974982d9d6b8
24773,https://github.com/LCOGT/alipy,swh:1:snp:0fd59375a56e021be6081202628396a0084ae000
24790,https://github.com/cran/modTempEff,swh:1:snp:94377a0e15e9e9010c5519c8dc4d801104d7c8a2
24791,https://github.com/cran/MCE,swh:1:snp:4e705300dafc77bcdff6e40479236823007a3db9
24792,https://github.com/cran/MFSAS,swh:1:snp:7fb1dae24d34cf13158031b93cf48ea5b19dde1f
24794,https://github.com/cran/OjaNP,swh:1:snp:e5b16c5c1b3f9e16123752b7c5cf4ad489b3e520
24808,https://github.com/cran/anchors,swh:1:snp:5f2a1ca94df915ae1c98b05b994a77dfe8b6aaca
24809,https://github.com/cran/Synth,swh:1:snp:7c11c147989f43b58bb3c4d8455c6a75597f563d
24813,https://github.com/bsc-pm/ompss-ee,swh:1:snp:c697390d473f1853035041635608a837eb115476
24833,https://github.com/cran/cacheSweave,swh:1:snp:7789c7d665a7d0a0e857ef0f7745b916ed6c7dda
24836,https://github.com/srush/Hierarchical-Bayes-Compiler,swh:1:snp:f3e16788b40f2bb826fbdb8707466488106f6af2
24841,https://github.com/cran/fts,swh:1:snp:052de65b40fa28f392ec41a0ed64f89bb1399dfb
24842,https://github.com/JodaOrg/joda-time,swh:1:snp:65b50483dfe1e7ee1182a5a7af45b2310fe2312f
24844,https://github.com/mlipper/runt,swh:1:snp:a9dd32eca855692f84b26e134e627b29ec4dfef6
24845,https://github.com/cran/its,swh:1:snp:e72bbb499cb582a8cf302318605ffcc0030947df
24861,https://github.com/armstrtw/rabstraction,swh:1:snp:5c33d24cb71936c7f6298bddcfab709bcedd18f7
24862,https://github.com/armstrtw/RObjects,swh:1:snp:7a0631d5a2b2704016c900bd1d301c25220e487f
24865,https://github.com/cran/sspir,swh:1:snp:d5aa9c90a1be067c11aa1ca5478b65193266854b
24867,https://github.com/cran/SMC,swh:1:snp:b6868ccb83ae51f6dc012f653fcbe95bf0d3d61a
24871,https://github.com/cran/scope,swh:1:snp:f8633029974d51981d3915fcbd069f43a9094ac0
24874,https://github.com/cran/ForwardSearch,swh:1:snp:15b4ea9719f7e02b0b707b2f7bc97110d64d07cf
24875,https://github.com/cran/corcounts,swh:1:snp:486b0419ebd4912a9c8fca9468c6104ad0ca4600
25131,https://github.com/lkastner/cellularSheaves,swh:1:snp:44988fec30cdb7b41cfae5eacb658f4c2aee8870
25132,https://github.com/fiber-miniapp/ffb-mini,swh:1:snp:6858d2162aa0e4c51e7e5febd7f935b8b0298bb6
25139,https://github.com/rmcelreath/rethinking,swh:1:snp:6c4e1b3e8554595f0015a8b65bd15326710a384f
25141,https://github.com/cran/DynTxRegime,swh:1:snp:f9c8ab14b2aa66032f5ddc40a73a4bcdbf748150
25142,https://github.com/cran/npde,swh:1:snp:c4a99a3cb973f8331ab9e5eda5f0d4c653f749a6
25143,https://github.com/cran/vcrpart,swh:1:snp:34b54fb78dcb19536dd19c4250e020cf9b80de5c
25148,https://github.com/cran/sets,swh:1:snp:865029c8ca579e297e433855c9dc462e51886d34
25149,https://github.com/JuliaDynamics/DynamicalBilliards.jl,swh:1:snp:6865c27e11ccbaf803e32790da7828a4ab61d201
25155,https://github.com/GNOME/glib,swh:1:snp:eb716fafef52dd10c182175ba647a96f391ff494
25157,https://github.com/cran/gtkDevice,swh:1:snp:e71234eec9a1d588a979eea170931fb80e575755
25160,https://github.com/wxWidgets/wxWidgets,swh:1:snp:8d912f66ef20fdf30569eefab57611773248a56c
25161,https://github.com/omegahat/REventLoop,swh:1:snp:e1fc1e5b39c38b4ae6917e847614e897f61002bd
25162,https://github.com/omegahat/RDCOMClient,swh:1:snp:e81475a87a7bf3a12cd27b307e4b5e55513ecdac
25165,https://github.com/omegahat/RwxWidgets,swh:1:snp:95b0a01bde4654bf5caed772bb3b8492f14f047b
25170,https://github.com/cran/UScensus2000,swh:1:snp:1245f0589ec6eca97ed3aa0226edecfd887f915d
25171,https://github.com/cran/gpclib,swh:1:snp:57263e986ea2a5a14fcebbe03ca1637cd3afd389
25182,https://github.com/cran/stochasticGEM,swh:1:snp:bf61eacea3b031a05694cdb27d6e6127f9cb8089
25184,https://github.com/cran/denpro,swh:1:snp:995a97a3eb39a8a75d75b1fc5b17ab8d497675a0
25204,https://github.com/cran/ConsRank,swh:1:snp:ab3e80ad9ea8938d37bf281774b20d8d0b4d5b33
25205,https://github.com/bcm-uga/TESS3_encho_sen,swh:1:snp:ba91d9566e23515751528b54e9f2633fd6ca3b93
25206,https://github.com/ANGSD/angsd,swh:1:snp:66fd956c1a0382e7c9a7e391a2d3f8e75f958951
25216,https://github.com/cran/dae,swh:1:snp:8ede1c4903d69543f7793dd00bb4ad25891e2dca
25219,https://github.com/gprMax/gprMax,swh:1:snp:64af11c5a44469fd6c16c6d9110807a73817ccca
25222,https://github.com/Olibear/ArcRoutingLibrary,swh:1:snp:ecc6b80c48facea51a96d4ff4d46ad201f633b58
25241,https://github.com/uniker9/JAutoDiff,swh:1:snp:077b272815542b82a240e96c1766d88a79dd5add
25242,https://github.com/lambder/Deriva,swh:1:snp:0e755ed5cf8c26be80e726ff6c1db1c1104c50f8
25245,https://github.com/coin-or/CoinUtils,swh:1:snp:9fd3c2d1da597d753dc69f26e710f452b222f51d
25247,https://github.com/ufpr-opt/perprof-py,swh:1:snp:d9a27e5b4562a42b6d582bdd525f988d5cd3b989
25249,https://github.com/oliverklee/pixy,swh:1:snp:673184e14800e14d14072d4d5d3251abe5783033
25258,https://github.com/ksen007/janala2,swh:1:snp:90a3616563b67d051f7be638ea2a46686bd8be54
25259,https://github.com/Samsung/jalangi2,swh:1:snp:ef66ca82670e77517fe9b239cf6b707f572283b8
25272,https://github.com/Data2Dynamics/d2d,swh:1:snp:3455c08881a1257797717c494996daad6565f9dd
25279,https://github.com/cran/FieldSim,swh:1:snp:2212595fc14c2cd5a4c9fcd03bb6b5edb4e8dade
31825,https://github.com/Olibear/ArcRoutingLibrary,swh:1:snp:ecc6b80c48facea51a96d4ff4d46ad201f633b58
40667,https://github.com/NFFT/ANOVAapprox.jl,swh:1:snp:f2116f2d54a1d25cb4199e9f0993103dc62e581a
40666,https://github.com/hyperdeal/hyperdeal,swh:1:snp:ec6f09cf959df9cf13ee915e2f76d36610f7a2d3
24398,https://github.com/cran/multiPIM,swh:1:snp:9729851598b419c3b62b3684fd4f4479b32bd5ca
24404,https://github.com/cran/r2lh,swh:1:snp:df0e4c48abe463dc8dab3277b12976d5f77802c2
24407,https://github.com/cran/RcmdrPlugin.HH,swh:1:snp:2ef8321efdadab32488268fd216de64d19cd1626
24414,https://github.com/SCRIP-Project/SCRIP,swh:1:snp:1b55a7a7c8528fdc839fcbfc659a723b282b7dbe
24416,https://github.com/cran/MissMech,swh:1:snp:e1d904613a39dfc1e2c80ad7ece2b5c25f7010cb
24417,https://github.com/cran/BaylorEdPsych,swh:1:snp:7e17e71c3970380b9307f2f2342bdb58eeb0b679
24424,https://github.com/cran/FrF2.catlg128,swh:1:snp:66fea954a845115f6c01301e265749b9fae74c2e
24427,https://github.com/cran/classify,swh:1:snp:9fa70e33ea88af566ced6871cc8ef8e3a54ad087
24429,https://github.com/cran/HI,swh:1:snp:69ca890f3d511358847891c7383c129805f86353
24431,https://github.com/cran/games,swh:1:snp:94ad75070f10bca86ad631bdef52e3a4abe6e5e7
24446,https://github.com/cran/deldir,swh:1:snp:cd24021f7d5124f4c1c31db201dc1040923cc3c9
24450,https://github.com/cran/cwhmisc,swh:1:snp:20d8843d7cc5bf6451e1c85da51eee18cbdc713f
24452,https://github.com/cran/btergm,swh:1:snp:bb98e6b57040ae0f8ab3b036d3df9371cc3d4f87
24453,https://github.com/cran/apsrtable,swh:1:snp:6e1e67c503cfec749f76b6fd53a9dba2f061319b
24458,https://github.com/cran/termstrc,swh:1:snp:10c11152b135f71b320ac13d4e4eea4ea52e2da1
24460,https://github.com/cran/cplm,swh:1:snp:59a4b1abfb4c2c66d27fda43c783c6ceb42261d0
24465,https://github.com/cran/MRwarping,swh:1:snp:e587f0b551c3c88047a5f7910492137976be0c27
24466,https://github.com/cran/bigmemory,swh:1:snp:6622ef3144a08c476683ce9b9ef1721b75103d9f
24468,https://github.com/cran/synchronicity,swh:1:snp:243288eb128e047f33ee54902770a687dbc97b94
24470,https://github.com/cran/bigalgebra,swh:1:snp:6677ae46a2e4294d3f369a947ff95b7466dc1c53
24471,https://github.com/bwlewis/doRedis,swh:1:snp:7c24316591417c79aa03adf45002c70f3ae1cbfc
24473,https://github.com/cran/yaml,swh:1:snp:5083ac867c29e01d9bab37c9df720c94c775f4ab
24474,https://github.com/cran/digeR,swh:1:snp:deeac2813d7a8b9f47b66da4a2245e1dfd1d803d
24475,https://github.com/cran/JOP,swh:1:snp:29c3eda8b3a3703049a5284c84e92500bd1c7b74
24476,https://github.com/cran/desire,swh:1:snp:be52fd3bd5e0ecf694ba721b4d4d0264d033b66e
24482,https://github.com/vbertone/MELA,swh:1:snp:5b94936bfac0adb21ccec760d5a146e16062159b
24485,https://github.com/bishoksan/RAHFT,swh:1:snp:ef8a0d3f6ea9490f628741fc9619df76c34f6538
24489,https://github.com/cran/rtop,swh:1:snp:839885006bf35367b6341ee2ea6f90d440eb48ac
24498,https://github.com/cran/SelvarMix,swh:1:snp:e6c2df9becb6a459a85528af012e423cc7b5426a
24500,https://github.com/cran/pvrank,swh:1:snp:a46f30b5cfc4df678937f4e05ea9d6c3346b16a7
24502,https://github.com/cran/profdpm,swh:1:snp:0255d5cd1d3f44aa313c1636dcfc238337fb32a1
24503,https://github.com/cran/spatialkernel,swh:1:snp:175a74dae6c75f73791dc313b8c8ac3ffa11497a
24504,https://github.com/cran/playwith,swh:1:snp:11e7433e458855082ab83d7205584628f9ac5ea1
24506,https://github.com/qpdf/qpdf,swh:1:snp:03af25c382ec4b41ff43fcbd99d8ec40e513fa49
24507,https://github.com/brentertz/scianimator,swh:1:snp:6218430f277013a950ef0eab8e965fe4a09e4059
24509,https://github.com/cran/R2SWF,swh:1:snp:434facb4140eb840a7372972ea1929bbdf49a30d
24519,https://github.com/aleaxit/gmpy,swh:1:snp:72c773b0897437d33b60113c03b28c1e7e339fb7
24521,https://github.com/cran/msr,swh:1:snp:607eee7b403763f393eac1993bfc64de646428f8
24538,https://github.com/cran/edcc,swh:1:snp:c72885a8b435e5de654ffef12024fb419a5f292b
24539,https://github.com/cran/tau,swh:1:snp:22b28e950cdcb0ce7e02fa268d6bd56b158c0ec8
24550,https://github.com/cran/multitable,swh:1:snp:720a385a6cc11fbe07182fde1a88f85358daaf3f
24562,https://github.com/cran/plfm,swh:1:snp:db70a0d17c5fcd623bd8e88a643833a766f8f41b
24564,https://github.com/cran/inlinedocs,swh:1:snp:e67ddc827eab56f07ebbd6d8c675123cee5de7ac
24570,https://github.com/cran/svcm,swh:1:snp:f069041df4b0da3ad799cb81bd27f320068ca06b
24571,https://github.com/cran/dlmap,swh:1:snp:625197958632cab8357f958896300418471a8902
24588,https://github.com/lockEF/SupCP,swh:1:snp:6b0d897d02c06222b7986a1f7658e868c112429b
24589,https://github.com/xcyan/eccv16_attr2img,swh:1:snp:3da50f80fa0b60ab00dd76f00f219ec640276f53
24590,https://github.com/coin-or/CyLP,swh:1:snp:b4a0732db18e878466564531e6496c559efb16d6
24593,https://github.com/samer--/plml,swh:1:snp:2d9f42822e4f0071d9f8a582cf76a5791dceeae1
24595,https://github.com/cran/speedR,swh:1:snp:d0fb3aa21fbbc27bdab8d6aa6c3017b66498d41f
24597,https://github.com/cran/gWidgetsWWW,swh:1:snp:7d4d55f9143cb7a1f6f00575ceab4be7b7c2652a
24614,https://github.com/anzaika/guidance,swh:1:snp:0e3d00f5e100b65ad84b7c04eea0ba6b25c4afe3
24618,https://github.com/hadley/helpr,swh:1:snp:c9967cfabe6d510212a32d83643136b3b85d5507
24625,https://github.com/cran/trackObjs,swh:1:snp:7ada054878bf3de45d793988f7979cc6f464afef
24631,https://github.com/cran/MFDF,swh:1:snp:4ee74901ec54327444a204a6de3e2da055c6aca9
24876,https://github.com/gap-packages/Digraphs,swh:1:snp:e1121c8d1f0eb4e2e2b755c1b87b2598c73af989
24881,https://github.com/cran/TGUICore,swh:1:snp:1c054f10a5bfe1c5a32333bdd3490868078a218b
24887,https://github.com/cran/mcgibbsit,swh:1:snp:e5fec38510bdcf56998c4e1c43fdf629ee400d47
24888,https://github.com/cran/blavaan,swh:1:snp:dbd447cc1f535bdaff05f59dd9306f37912901bc
24889,https://github.com/davidruegamer/coinflibs,swh:1:snp:deeb7a330280d78a107af03756d217808ddb476c
24898,https://github.com/cran/anoint,swh:1:snp:0d2ce4c2f2d2380c1f3f8999dec4ed95a1f2e866
24915,https://github.com/LaplacesDemonR/LaplacesDemonCpp,swh:1:snp:e14d186620d5abb3ac4595951656a3208e29fdc1
24916,https://github.com/cran/bdsmatrix,swh:1:snp:4e471bc05cec872d638f9fe05c0d29eb3968d150
24923,https://github.com/cran/EvalEst,swh:1:snp:63231a02ddd66af724c04f068c87cab6ed93fde9
24929,https://github.com/cran/mapview,swh:1:snp:bef69c7af2d94957637070aecf37f0cdbc1fdee2
24932,https://github.com/cran/osmar,swh:1:snp:58a8c0ae2ef6ab37910f6f0fefbb08aa69ea45b4
24936,https://github.com/girdap/girdap,swh:1:snp:b95b7f10a36bc383308a5012356e9679e6f3c19d
24937,https://github.com/cran/GPC,swh:1:snp:753e5caf8ada9ef3724b88b7c28549e9bd7b2e87
24939,https://github.com/PhysicsofFluids/AFiD_GPU_opensource,swh:1:snp:10c6dfeda12106d766d9fb938fa777d9855bc1f9
24964,https://github.com/pparna/swe_pifweno3,swh:1:snp:2dee5f42fe57fa5033aeeb30d8aa9099d3279425
24983,https://github.com/mkotov/nielsen,swh:1:snp:cef4b7e54b8e6b1e65757a8714738c8ee59d92f8
24994,https://github.com/cran/PPtree,swh:1:snp:a136e90458d3d3924ea9558cade6cc7e522c1986
24995,https://github.com/cran/xergm,swh:1:snp:ff9765db1006e6e2b7d52061f1ead9299da50727
24997,https://github.com/cran/tnam,swh:1:snp:1f1fc4d227d67e76f7ce4c5b0ca186d0fe1210a2
25003,https://github.com/delta-rho/RHIPE,swh:1:snp:2b580e135f10d852022ca38a2b82fc2fea41c7e5
25006,https://github.com/cran/sf,swh:1:snp:9391b7ae073d8919c2c56222d8dc8010e05a36a5
25007,https://github.com/cran/htmltools,swh:1:snp:50df2f65641a008786e9b0d4a0f3d43ae23e8710
25008,https://github.com/d3/d3,swh:1:snp:8294a4b571290a68c540475bd0a3edfb54cb097f
25009,https://github.com/cran/tigris,swh:1:snp:5d9fe837d220d234084942f1ede5d8f06fd304f6
25012,https://github.com/cran/networkDynamic,swh:1:snp:e0a8890486005d9d1fe80ede86bfda38f582d1be
25021,https://github.com/cran/ilc,swh:1:snp:60462445c98c3ffc31bdb855dd808c687a6851f6
25023,https://github.com/cran/spaceExt,swh:1:snp:20afc27b07d919f11c683c6cecf6c5a4bbce8d5f
25035,https://github.com/cran/trackeR,swh:1:snp:b97feeb93ecfc5e6e78c18e80e237e4c5800797c
25036,https://github.com/cran/pinnacle.API,swh:1:snp:52c3896a2b38b0e85714e05391bedf471fd75498
25037,https://github.com/cran/RcmdrPlugin.SM,swh:1:snp:f78e7a1a75c918e26644d157b6721e207e4442b0
25038,https://github.com/cran/SportsAnalytics,swh:1:snp:d0207282ebfce2a36f05ce3b6c7959fc7fd65c43
25049,https://github.com/muellsen/pCMALib,swh:1:snp:17c418815f342200f2de687bee7544e0f83b4eca
25061,https://github.com/cran/HSROC,swh:1:snp:4acaa487e576acb6c27fbc87a4ba25569b42a3c8
25069,https://github.com/shizuo-kaji/multi2boolean,swh:1:snp:6113dcda11f005b7ffefaf7e089f155a22f84beb
25081,https://github.com/fanchi/DFLpred,swh:1:snp:ea3c3842d38f722c298a810ac39fd8d9723e85af
25083,https://github.com/mrb20045/OOgenesis_Pred,swh:1:snp:14b8996645c897fd600076cdc17677288f9c3ef9
25094,https://github.com/cran/epicalc,swh:1:snp:57ce4e120ad8e5f61c1ee3592bc524f48e990271
25096,https://github.com/tgvaughan/icytree,swh:1:snp:50ff0a2c4b7b6eab373bb36a78e546ba43ea4362
25099,https://github.com/cran/trajectories,swh:1:snp:57f8f7ff8d155a99a09a6389b45dd6612aca60f0
25101,https://github.com/cran/vdmR,swh:1:snp:f44978c8c2ce3ba0adab83a26451ebf563550028
25105,https://github.com/cran/OneArmPhaseTwoStudy,swh:1:snp:be6395436bc050a483cf3bf4159d778ffa3e0607
25108,https://github.com/cran/intsvy,swh:1:snp:425ed6f2d6693767c4234f3df75dfc58f469254f
25114,https://github.com/cran/FHtest,swh:1:snp:aac7e7aec45a1f15df2babe18afb08f3c5ac7608
25124,https://github.com/cran/spfrontier,swh:1:snp:d399706af20be2006c7311db4b2ec81cee6c6f6d
25130,https://github.com/opensbli/opensbli,swh:1:snp:13259bee098fad4c3c1be382f5dfe1eee7ecb411
35194,https://github.com/cran/BioPhysConnectoR,swh:1:snp:83f31732a0952d25412721e0a59e22f1256f2a2e
35199,https://github.com/jcvi/METAREP,swh:1:snp:1fbca644daf0368d93b4790688322ba640ba90d6
35201,https://github.com/Trusted-AI/AIX360,swh:1:snp:bbd2b6b94e15bdbf2f651da9be392a74211944c8
35202,https://github.com/cran/fastshap,swh:1:snp:319a1708491ac4257c3eb2f27b1fcf4778646957
35208,https://github.com/TeamHG-Memex/eli5,swh:1:snp:017aed9cfd1dcc58eb1a1429cbe26809c05e0a6e
35213,https://github.com/cran/mcr,swh:1:snp:deae639672d2b0f9e87ead42cbed5a9f40e3af0d
35221,https://github.com/natelastname/SimplicialPosets,swh:1:snp:201691412c07b9307a97a60a74ddb4b72ef585e9
35222,https://github.com/dut-media-lab/BOML,swh:1:snp:36e8b16a4e8e9c294659291025f49acbd77201a0
35223,https://github.com/brendenlake/omniglot,swh:1:snp:36dc14947cf8dc1397c7991ca94e7d16d532da1b
35224,https://github.com/cdslaborg/paramonte,swh:1:snp:20307cbbc3dcf53b5d33986e23a676c4ae04cf33
35225,https://github.com/sourceryinstitute/OpenCoarrays,swh:1:snp:49ebf6a390aa549b4eba74d034c39d7195154f3e
35226,https://github.com/cdslaborg/paramonte,swh:1:snp:20307cbbc3dcf53b5d33986e23a676c4ae04cf33
35241,https://github.com/arvk/EZFF,swh:1:snp:b433a01c6a79639077a563cad3f28dd5f3235e14
35242,https://github.com/USCCACS/xtal,swh:1:snp:e06e4ee69581809b8ee74a0d77ecd238a77029ff
35244,https://github.com/cran/smartdata,swh:1:snp:0bdc9487f4965231a7afb0bccdd13d7bb394ce19
35245,https://github.com/cran/pkgsearch,swh:1:snp:a466c081c8499e25edf564ca0361867b121fd780
35255,https://github.com/nathancunn/ParticleMDI.jl,swh:1:snp:c78a09d49812e251c065421e4b1c98832dffed8d
35267,https://github.com/SURGroup/UQpy,swh:1:snp:ecc90f6b11c378692d9c5a97fd60f1d6f7f80fa0
35285,https://github.com/wilsonrljr/sysidentpy,swh:1:snp:c126f49f90e0a0132c31cd2d394a138701bec7ec
35286,https://github.com/htjb/maxsmooth,swh:1:snp:7ac50bdf9198c8a709776b51818cf46098e26858
35288,https://github.com/s-goldman/Dusty-Evolved-Star-Kit,swh:1:snp:fde0fe3cf080ef9388f01bb9bb72cdfcca59c88c
35294,https://github.com/lima1/franzpedigree,swh:1:snp:7cb9419006d7c7117c593d1ae2123378b8033c7f
35302,https://github.com/cran/kerfdr,swh:1:snp:1fdac855e33f6ebb916a8630aec744c12a4ddef6
35305,https://github.com/cran/MoEClust,swh:1:snp:18006feb754146354ec4bde505037509d9dee906
35314,https://github.com/cran/prabclus,swh:1:snp:5a95cbebaa18e7c5edc29be0c751b59a646bcc35
35315,https://github.com/cran/MixAll,swh:1:snp:dc9ac7a99b017377b15db4e230cbc2d0f13827d5
35316,https://github.com/cran/usmap,swh:1:snp:8164c8769e09aba5516b3654e5648fa9e10a7f61
35318,https://github.com/cran/distances,swh:1:snp:b2b37852b516684598e1ab3dd09f6412be840ba9
35345,https://github.com/cran/aroma.affymetrix,swh:1:snp:562259652c7adf37fc2b5fb7a4c5dfaa520eb665
35347,https://github.com/cran/waveclock,swh:1:snp:d07ff460c3ec96c35fa58bbb84f4d7a4ba4e57d6
35383,https://github.com/idiap/pkwrap,swh:1:snp:db02fadbf9cb59b13bf55631e8dbbd87ef641e2f
35384,https://github.com/pykaldi/pykaldi,swh:1:snp:d6f1cb28ec7eb30b22449f22f13f71cbbb9d421d
35385,https://github.com/YiwenShaoStephen/pychain,swh:1:snp:86ec49a8be6ed46e59618f6929fe83c382b06543
35390,https://github.com/MPintoSpace/GUIMesh,swh:1:snp:0b334378e357b31c9abd5ca3737536025beaa206
35393,https://github.com/timknip/pycsg,swh:1:snp:12f27dc1d745086cbf1a06e39e880103aca78e45
35396,https://github.com/CadQuery/cadquery,swh:1:snp:405d143d786ab5bbe9987a951882a591c59ba615
35402,https://github.com/KohlbacherLab/MultiLoc2,swh:1:snp:9ff3722d3801b68f17c64ecac665d93a55bd84c8
35410,https://github.com/bioinfoUGR/cpgcluster,swh:1:snp:d9a26e19c38da3dc2117f0bacbfd6557b544cde4
35417,https://github.com/upb-lea/openmodelica-microgrid-gym,swh:1:snp:9e002ef3f72156d4e34e4f6e738b15032184ebea
35418,https://github.com/befelix/SafeOpt,swh:1:snp:089ea1b24b6a52762c447b10b821fda89080a229
35419,https://github.com/DLR-RM/stable-baselines3,swh:1:snp:3e2aabd88e203baee5520abc77655303dcdb7bdf
35420,https://github.com/scikit-learn-contrib/metric-learn,swh:1:snp:ba5cdf18778eb2eec69edab0fb4fa84a2dace6d8
35421,https://github.com/jlsuarezdiaz/pyDML,swh:1:snp:7e2b641768e6c57e0fcb38c27b62432045d51c42
35428,https://github.com/hmmlearn/hmmlearn,swh:1:snp:94be01b08b617cddcb50db98711a50e68cc60c12
35429,https://github.com/johannfaouzi/pyts,swh:1:snp:0a1d565ba38fa221598690ed8809ffc3e911c2cb
35430,https://github.com/alan-turing-institute/sktime,swh:1:snp:5a07316170a538749e0a47f960c9d751dc73779e
35431,https://github.com/RJT1990/pyflux,swh:1:snp:b13a5df419cec984effd309fc630ad0e7a6a8145
35434,https://github.com/awslabs/gluon-ts,swh:1:snp:a24972954af6a65ebc5a408f4023f239eb94808a
35435,https://github.com/amzn/MXFusion,swh:1:snp:9f76783609303b555148be0dd7c5c48550e2b497
35440,https://github.com/FenTechSolutions/CausalDiscoveryToolbox,swh:1:snp:253fff4a99e4b7666a8d06aefcabcbd691981e66
35442,https://github.com/SheffieldML/GPyOpt,swh:1:snp:d5650c90973be6f0b27a7ae8ed43bb3c984c4052
35444,https://github.com/PreferredAI/cornac,swh:1:snp:51d70b04de9850a376a72aa9f88202fd3763203e
35445,https://github.com/arogers1/VBPR,swh:1:snp:c845439a2e309203e8300980a87b63379a003727
35446,https://github.com/maciejkula/spotlight,swh:1:snp:f32ee8a77237365209a57a4779a09511024b103a
35447,https://github.com/cran/mfe,swh:1:snp:edf0ac212507d51b67ac187fbdbe370ac0389c4d
35448,https://github.com/ealcobaca/pymfe,swh:1:snp:ec5f261ac9489feadf328cc8da9fa896fd822b98
35449,https://github.com/tensorflow/tfx,swh:1:snp:4cc46bb467800b8b5bda460d5fdd42268f1579ee
35450,https://github.com/EthicalML/xai,swh:1:snp:934bcabbad4db64b2a44975f19fd529016feb81a
35451,https://github.com/SeldonIO/alibi,swh:1:snp:70a149971000504f241cceb91106006e9a9ccd49
35452,https://github.com/albermax/innvestigate,swh:1:snp:a0e90b0f04d5ddaa1faf9376e6b7d8e6d5c770a7
35453,https://github.com/sicara/tf-explain,swh:1:snp:00246fde5305ad96611fdba23563c97fbc4cdc38
35454,https://github.com/DrKeHan/DTA,swh:1:snp:838378937ad5c0a02e1b75069b9c6b35f1dbc60d
35455,https://github.com/thelfer/MFrontGenericInterfaceSupport,swh:1:snp:ca0a0a73b46cf8f87ee0fa8406e7ab25359991c5
35456,https://github.com/labmec/neopz,swh:1:snp:2f50d972f8d5315aa35cea883e78a501e67c261c
35457,https://github.com/rundherum/pymia,swh:1:snp:714b7ad06fd627aa7978bf71bcf6c81dbdf444ff
35459,https://github.com/dpressel/mead-baseline,swh:1:snp:164dec1cee352eae0aa16cbe5268a0e2b693e343
35460,https://github.com/morphometry/papaya2,swh:1:snp:8381759703facbe8c352f4c8bccafe3d08a29117
35461,https://github.com/ramadatta/CPgeneProfiler,swh:1:snp:ec0856019cede36812246ed6eab54848157ac974
35462,https://github.com/cjdoris/pAdicExtensions,swh:1:snp:5fdf0f93d098c6931d201cab81a72812f52dce41
35463,https://github.com/cjdoris/pAdicGaloisGroup,swh:1:snp:71adb75d2f190c4742d94b173b42ee0dbc6b2a44
35464,https://github.com/cran/pedigreemm,swh:1:snp:f4bc87a38680b9fd93d6a3e776bdc103da3a8321
35466,https://github.com/ialmodovar/RFASTfMRI,swh:1:snp:0c62cbf8e1a822e256a8402bd8012ce959aaa6c2
35467,https://github.com/cran/RmixmodCombi,swh:1:snp:8063602d303ac83c21348d2dc670633839330671
35468,https://github.com/cran/densityClust,swh:1:snp:107a9528f2ad5c330a5f20ed66f94a6a56c42567
35469,https://github.com/cran/REEMtree,swh:1:snp:d92c750966daaabe317d41249ae6a0334b5475f5
35470,https://github.com/neuropsychology/neuropsychology.R,swh:1:snp:f0382f6dd71fd3aec28b8c286d08b847effcc1f9
35471,https://github.com/cran/mbgraphic,swh:1:snp:ad2c5b907e3dd4c026d6fff41d16212ca05f5f52
35472,https://github.com/cran/binostics,swh:1:snp:69ab05063f04d70ebcd711a419eedd248110f027
35473,https://github.com/uschiLaa/spinebil,swh:1:snp:f982dec9bc0db2302ab368c74616a293c60405f4
35474,https://github.com/uschiLaa/galahr,swh:1:snp:47befbd4a164a44ecba0615ec65e6bbca13daf73
35475,https://github.com/alvarorga/mpys,swh:1:snp:0879392540a012ec9f02d41b31a31bb77a0a716f
35476,https://github.com/rballester/tntorch,swh:1:snp:134faead37fdf94b24972c011ccffacdbcc29e71
35477,https://github.com/PGelss/scikit_tt,swh:1:snp:8117ea40976f09fe513ac927eabc35ba47bea15b
35479,https://github.com/juanjosegarciaripoll/mps,swh:1:snp:618d026cc9322fbac6111803bb87e77e62404b6b
35480,https://github.com/cran/rerf,swh:1:snp:5bf219f9e43ef994317ab456b6d065ad235ae6d6
35481,https://github.com/automl/HpBandSter,swh:1:snp:e87e6e7d2a93762a4440e0e5b42abbe3686b4142
35482,https://github.com/moserware/Skills,swh:1:snp:33cce16f3cbcb61804076eb184a0177f7a50e327
35485,https://github.com/haiderstats/ISDEvaluation,swh:1:snp:a3f03155e4b56426045d96531f90d73fcbce06c9
35491,https://github.com/cran/flows,swh:1:snp:e53a73c904d34f0506914ea2491e4f0dfd9ca7e0
35492,https://github.com/jjbouza/tda-tools,swh:1:snp:c18fb7891189331956a51ea2b5c3faa51ec3b938
35494,https://github.com/dmlc/gluon-cv,swh:1:snp:e1303086419a5733661d0fcb9095c09d4f2382ad
35499,https://github.com/ntop/nDPI,swh:1:snp:aa1e2f55b4ced250ff6a2fcb02b488aa1f203192
35500,https://github.com/NCAS-CMS/cfdm,swh:1:snp:3620052ed592be9688d3ac1e26d140e5f97edf31
35501,https://github.com/NCAS-CMS/cf-python,swh:1:snp:c13e5a2abf05e3e6400b4f2bbe0f21faf4f19fad
35511,https://github.com/BlueBrain/NeuroM,swh:1:snp:8702ce200bb5983974053a77fa17dfd88d62a058
35532,https://github.com/TelluIoT/ThingML,swh:1:snp:f498076404072c7302dd554029c12de363b75970
35540,https://github.com/satoken/centroid-rna-package,swh:1:snp:8e2e6e86e051b9b63fe9ce91343c4c2ec39e033e
35560,https://github.com/xwasco/DominantSetLibrary,swh:1:snp:1b74fb192802667145fd65b95c54b5acc3f1f780
35561,https://github.com/andreamrau/maskmeans,swh:1:snp:718ac3aa2ab9d5debac0c3e8c48d1a969035c42b
40369,https://github.com/SeldonIO/alibi,swh:1:snp:70a149971000504f241cceb91106006e9a9ccd49
34830,https://github.com/PForet/SP500R,swh:1:snp:29c31a24860f72f44cc20c201a6d68c144f6228d
34831,https://github.com/VelbazhdSoftwareLLC/VitoshaTrade,swh:1:snp:ee4ea1a92bac7e8b770e86f2603c9318d7c31ab7
34832,https://github.com/pneuvial/sanssouci,swh:1:snp:710609cf09fe29654c605981b27b3902227d27b3
34833,https://github.com/tranqv/Mittag-Leffler-function-and-its-derivative,swh:1:snp:b7074ac3f5ca5cd46855f1fa5512c45bdca3302e
34965,https://github.com/gflags/gflags,swh:1:snp:72cb27f4c11e90f4cb75188198f3b2459ad5dc6e
34975,https://github.com/cran/parameters,swh:1:snp:7300bd8d4b56b7b8b2e1314372ed288151da31ec
34976,https://github.com/cran/finalfit,swh:1:snp:8f25f4903c46f47c5117344d9e83db9ab1bec357
34977,https://github.com/cran/see,swh:1:snp:440348ff6f6aacfab7ee860506d9429ce1d6d1cb
34980,https://github.com/MmgTools/mmg,swh:1:snp:a1f1aa0e63e2dff33b71bc56dd69f35318990657
34981,https://github.com/nschloe/optimesh,swh:1:snp:3d75240594d595c664211c453261ba8fc09d5dec
34982,https://github.com/gridap/Gridap.jl,swh:1:snp:387bc4fcfaa680d5e951df66e9ed8397c79e3234
34984,https://github.com/DorianDepriester/MTEX2Gmsh,swh:1:snp:471bfabdeb20bfc9239970b4d9e6571680b34f09
34985,https://github.com/akcochrane/TEfits,swh:1:snp:6c243da4387b0a44279d8628bca2dcff6cd50177
34986,https://github.com/kinnala/scikit-fem,swh:1:snp:846dbeba1680818edd8aab8ce9c20068c13af39b
34988,https://github.com/sjvrijn/mf2,swh:1:snp:af8643a8717184a8c86d34ea14dc653e79b54feb
34989,https://github.com/kerkelae/disimpy,swh:1:snp:d34623774117a5d0da4758ee843ac94c36a2353e
34990,https://github.com/mackelab/sbi,swh:1:snp:4b2bbfc083c78da842eb64b586bd4d6f64e245a3
34991,https://github.com/PfizerRD/sit2standpy,swh:1:snp:0fdaddc00008623d7c93b5aa15af6469ba2e948c
34992,https://github.com/cadop/seg1d,swh:1:snp:58723e1a3d2adf2e61039b2109d2588d6fbb061b
34993,https://github.com/hope-data-science/tidyfst,swh:1:snp:dca05e93c3c48079d4b20e226350bf6e16e1755c
34994,https://github.com/JuliaFEM/JuliaFEM.jl,swh:1:snp:dcf1103bd3f5f05eb41f2037592ff868d583f2e4
34995,https://github.com/PetrKryslUCSD/FinEtools.jl,swh:1:snp:15951a366be27cb3f8f05a5b29fb85bd420137f2
34998,https://github.com/pybamm-team/PyBaMM,swh:1:snp:b6b97973d45786c3a87409d685e14842a12f299d
34999,https://github.com/nschloe/meshio,swh:1:snp:3fd91f0a0c898548cdc8f706a1af9b8a78035d8e
35000,https://github.com/nschloe/pacopy,swh:1:snp:796ff39026ec89f46f2a0e8a55e5ce8910277087
35003,https://github.com/justinalsing/pydelfi,swh:1:snp:8bbcbb1471733f37171e16c7828f5a25079ca555
35004,https://github.com/conormdurkan/lfi,swh:1:snp:e525dddd2d4c43065e9586f4a61d55c77591399e
35005,https://github.com/bayesiains/nflows,swh:1:snp:b92b2263bebb1bc7e22f01fe448a48cd4f4d59b0
35006,https://github.com/montefiore-ai/hypothesis,swh:1:snp:d875e2119c0b32dcb2a8a9188b592f355aee8ea9
35008,https://github.com/mackelab/delfi,swh:1:snp:95a69f58c195feb5660760cd4ab833de366f5441
35009,https://github.com/cran/maditr,swh:1:snp:62280f0168da188ed19165449f20e937196fc276
35010,https://github.com/cran/tidyfast,swh:1:snp:cd7d1d246ccc7bba7bcad5055abd61f70f2b721a
35015,https://github.com/cran/tidytable,swh:1:snp:0e6de8dbb91caafc71821d4ba32dfe65f7d0a521
35016,https://github.com/bayesiains/nsf,swh:1:snp:3d7f53b7007f25a06ac20eb7292e4e8a08f145d9
35017,https://github.com/aravindsrinivas/flowpp,swh:1:snp:c7145f9c42f94cc16ec24a80c64caa469b51df69
35018,https://github.com/ksw0306/FloWaveNet,swh:1:snp:22c17691aeaf9b3cc1820dd0ab6c787647090b68
35020,https://github.com/CookiePPP/waveglow,swh:1:snp:49bacb2d0aeedbd1d62617157b7339c1d574ab6a
35021,https://github.com/openai/pixel-cnn,swh:1:snp:9822eed9accf83bc0ee648e02bad5bafcc265ec0
35024,https://github.com/ococrook/sugsvarsel,swh:1:snp:d79a62aabc9e41214bdd8ad407a083be543eb353
35025,https://github.com/fmi-alg/libdts2,swh:1:snp:9cf98b1787d16f899a01d0c7a7a415ac0a999851
35026,https://github.com/fmi-alg/libratss,swh:1:snp:88c55e6dcf49642e5d6834a6359755e50d5a6917
35027,https://github.com/cr-marcstevens/m4gb,swh:1:snp:acbcda0df159c3fc7e8f783c840b7391953e5d90
35038,https://github.com/popgenmethods/momi2,swh:1:snp:a3708195b0bf02f558a3d1bdd3322bea2d01a0a7
35039,https://github.com/pomo-dev/PoMo,swh:1:snp:eeb99c1c50bb8d677825b416ea250f10de16fc1e
35043,https://github.com/mjosaarinen/tiny_sha3,swh:1:snp:9a951b67ff7ccdb0293b951432bde22bd5165673
35046,https://github.com/carla-simulator/carla,swh:1:snp:b28ea975307a763f05c62c192ac9d038f5c5ebbe
35047,https://github.com/ethz-asl/rotors_simulator,swh:1:snp:aca97db2470f3240b4d95a47e5df1e43167ebb38
35049,https://github.com/mjaroschek/FOS,swh:1:snp:5eb2d6b03fb34211c2dc1aa79a0f5da282542047
35051,https://github.com/jnoessner/rockIt,swh:1:snp:54affd037b811858339ae34a54325c61e70b60e1
35052,https://github.com/SPFlow/SPFlow,swh:1:snp:85f729973042065466bbddf08faa0bac4d8d2d61
35053,https://github.com/anskarl/LoMRF,swh:1:snp:2029721e038f7ced0a95f0bbd3cbbeeb212abf7e
35065,https://github.com/cran/nortsTest,swh:1:snp:c388ac7deaf8e89c2d307a1e19082ba4fe63bbfb
35068,https://github.com/unitaryfund/mitiq,swh:1:snp:5a2fc67aa3630fe4bd2ca131c2ab07bbd5adc05c
35073,https://github.com/tensorlayer/RLzoo,swh:1:snp:658db88dbbb59b2facc37b1dfe2020ea3a6e058c
35074,https://github.com/sleeepyjack/warpcore,swh:1:snp:c1508ea8e44d0907d3eee617e0ca205c55e08a3a
35076,https://github.com/manitadayon/tsBNgen,swh:1:snp:0bf0fc09e65cf5208aab80b1a46dcd42e393f077
35081,https://github.com/PyTorchLightning/pytorch-lightning,swh:1:snp:ee41334c7e1051ea322f2c2e9aa882dc04775a2c
35082,https://github.com/rtqichen/torchdiffeq,swh:1:snp:8285390b690dbb2146626280c71b83c01022d422
35083,https://github.com/google-research/torchsde,swh:1:snp:b09b2cda9d8bf4a419f04e4ee3087c4bec794623
35084,https://github.com/EmilienDupont/augmented-neural-odes,swh:1:snp:e5e4c961f70effb278ebb79399a44f98b89ddfc9
35086,https://github.com/stepjam/RLBench,swh:1:snp:5282d781f7d9219222a9cc774a19b176b24d9f94
35087,https://github.com/keras-rl/keras-rl,swh:1:snp:8bb6b58e9d163e259c98264f1ade8ad489564dde
35089,https://github.com/MushroomRL/mushroom-rl,swh:1:snp:de5d2785b461d467221bde83684c273fdf7c0b6b
35091,https://github.com/thu-ml/tianshou,swh:1:snp:a5a30eee67e106f688cfecb0989d9d325969551c
35092,https://github.com/rapidsai/cudf,swh:1:snp:b428b8e24b901ba775187e5385691317451ad27e
35093,https://github.com/sleeepyjack/warpdrive,swh:1:snp:778e6e8e6e84eedbadfe9d3274e6b3b5c769ed19
35096,https://github.com/owensgroup/SlabHash,swh:1:snp:e134a8d23cd1aeaba8e879e5bad6f29e93568021
35100,https://github.com/caserec/CaseRecommender,swh:1:snp:a4f8a7e96d168fe21296de156d8865f2e033b390
35101,https://github.com/electricbrainio/hypermax,swh:1:snp:53b46a3320ccf213ac76d35e495da63787b91bd2
35110,https://github.com/team-pancho/HDG3D,swh:1:snp:ead20d75256b749f8073009b586e035540066c1b
35111,https://github.com/jdroniou/HArDCore,swh:1:snp:5b4a2eddd81aa2938f85ceb3b1e146debf1fe3a5
35112,https://github.com/wareHHOuse/diskpp,swh:1:snp:80c5257547fbc56f62e94bca05e4030fd44337e6
35113,https://github.com/LLNL/conduit,swh:1:snp:7d47afb2f3ac4006083686f0160b4de4943969da
35114,https://github.com/LLNL/axom,swh:1:snp:fea31318bd6b85bdf17740b656142a27717d393f
35116,https://github.com/CEED/libCEED,swh:1:snp:3db0751f760c2f9fbdebf7a111f5aba7e34d2d39
35121,https://github.com/pezmaster31/bamtools,swh:1:snp:0a7cc1512cd90cf977829619b3118481fa7eb12a
35156,https://github.com/OpenCALTeam/opencal,swh:1:snp:308bf3d2be79d505c4d8a66aacea588d1bc9ddbe
35159,https://github.com/cran/emba,swh:1:snp:542d9ee61ac62ba2f47027cd0a4fa4ccdd95b717
35161,https://github.com/hklarner/PyBoolNet,swh:1:snp:a56052b40145abd968e6f25975fff8b39e20c8f0
35162,https://github.com/colomoto/bioLQM,swh:1:snp:f6d88eedb1af8c93affbaee3987098ee3838a29a
35163,https://github.com/pauleve/pint,swh:1:snp:42e2053d9dd42b6084125fef8568d4a9864e9ad7
35164,https://github.com/cran/GET,swh:1:snp:84d963c91c1074dbd1899d74f495e0d5b7832e49
35165,https://github.com/cran/hal9001,swh:1:snp:4251301d122f2fd35dd4ebbe3d695db4e98c9bc4
35167,https://github.com/CliMA/Oceananigans.jl,swh:1:snp:caf7fc185c79c3d05e3ecdde8408ec14ba5fac74
35168,https://github.com/matplotlib/cmocean,swh:1:snp:c2f0ce7852c2fca24b6020e8e42589ee9f8d621f
35170,https://github.com/cgranade/python-quaec,swh:1:snp:4f13b4aedb75d3bb7c90c13edb0471d9f4ddd72b
35172,https://github.com/joglekara/VlaPy,swh:1:snp:81265ff9cfa006d77a22d70d093826564108b1cb
35173,https://github.com/PlasmaPy/PlasmaPy,swh:1:snp:b2f646ba82c00affe9b6aa2b2b73119ce31b3c3f
35177,https://github.com/brentp/methylcode,swh:1:snp:0cda899efc95f18ddd9b18797a5a75530e23709c
35179,https://github.com/cran/ExomeCNV,swh:1:snp:5c5f082f6cbc350f60db56b8e2ad27aa4a3f2f4f
35180,https://github.com/jeffcsauer/arcospy,swh:1:snp:e7b607e763fd641a193a7beff0fef47464b16245
35181,https://github.com/wpinvestigative/arcos,swh:1:snp:5b1089ce70cb8141c36d2b298a2f32094f8a5bdb
35182,https://github.com/ipython/ipyparallel,swh:1:snp:7d31350de4468dbd64228cc77372730dd7958543
35183,https://github.com/CFSAN-Biostatistics/SeroTools,swh:1:snp:5320e46724b48a068f546c4b15f4540d1de36379
35184,https://github.com/phac-nml/ecoli_serotyping,swh:1:snp:11d287978738c731a2530ae43636124694eb7b21
35185,https://github.com/denglab/SeqSero2,swh:1:snp:84a561b2c7cf9f74123e42b199d6e24d9dd7cab4
35186,https://github.com/mpievolbio-scicomp/cancer_sim,swh:1:snp:b1aed1eb5efb039304b03ef2b88edf478d44b35c
35187,https://github.com/JamesPaynter/PyGRB,swh:1:snp:2cf203449276487b6adeca2ffe13cc655c8d5f6a
35188,https://github.com/lscsoft/bilby,swh:1:snp:4e170464e0e293e5332c01df132257093709272a
35189,https://github.com/LSPR-AG/dune-curvilineargrid,swh:1:snp:6e092504a69cceb0229997b315e02ee4535b9d81
28076,https://github.com/cran/optDesignSlopeInt,swh:1:snp:8ad033a98f7a51ce2bfa94f9b0aa0d7b657d371e
28077,https://github.com/FXIhub/hawk,swh:1:snp:f21e7f04ecb8096634719c737d230487a00cfe5b
28081,https://github.com/MotohisaFukuda/RTNI,swh:1:snp:b42abd69a78208c8dcff172dfb1fcef1a59855f4
28084,https://github.com/chlee-0/computeGK,swh:1:snp:0322a0d7860ca9d5b8166aa099181ee87704cc59
28085,https://github.com/effExTeam/CoDEx-1.0.0,swh:1:snp:c2343e70457137066f9f8308cab44213ec87448e
28088,https://github.com/APJansen/QNMspectral,swh:1:snp:b0715f0d5d08860b7ae02a28d4c64a25d74d89b3
28093,https://github.com/cybergis/cybergis-toolkit,swh:1:snp:17b1e35252c7461f8a58e969013839c845a5ce07
28097,https://github.com/cybergis/prasterblaster,swh:1:snp:c8ed8d308842fbf8062b1d524012aad0eda3db22
28098,https://github.com/ElsevierSoftwareX/SOFTX-D-15-00071,swh:1:snp:b29e672c8288779e5706040acb23d7bc4d0d3990
28101,https://github.com/cran/PMCMRplus,swh:1:snp:51b9bf22dc0e841c659e3ccb927b20beb12fd15d
28104,https://github.com/cran/snpar,swh:1:snp:f88e7573a80800fd2a103b3ee0ed3a7e573b41f7
28105,https://github.com/cran/signmedian.test,swh:1:snp:e86ebeb4a5cc42ddeae8bad7719d5d842fb5e4f3
28116,https://github.com/mnederkorn/CoReS,swh:1:snp:611b5fa27b63991fa48f057b8c815de9fdbbfaf7
28132,https://github.com/cran/DiscreteFDR,swh:1:snp:af3a2dbefaad3578bd63616c821b75f12eb2dbc0
28141,https://github.com/cran/parsnip,swh:1:snp:a170bf4f229bc3900ccbc568278ecd02570e5338
28143,https://github.com/cran/cr17,swh:1:snp:7bab13981340c66ddb76e7734cee16005755232c
28360,https://github.com/KristofferC/Tensors.jl,swh:1:snp:ff8ef08f21ca785f04564d54dd5771a5551dbcb4
28361,https://github.com/KristofferC/JuAFEM.jl,swh:1:snp:3c98a905f398212ecd3e59498cd1da094abaa712
28363,https://github.com/hangxiong/KAMG,swh:1:snp:4fd1653e16bf37e291a27a3c7f4913e09d54f68f
28364,https://github.com/ajdawson/windspharm,swh:1:snp:d3d4f667f245acf80025126c5e6828fabc27cce3
28374,https://github.com/cran/EcoSimR,swh:1:snp:c0e24f098a53bb1cdf613a150ba9d7b99c5a9cbc
28376,https://github.com/JuGross/ensAR,swh:1:snp:afee80f317644e047be5a455e126eaf03cdcd726
28377,https://github.com/hedigers/RandomForestTest,swh:1:snp:30b33a8c0eca976e6be9483d4ae7e36fef701c99
28384,https://github.com/PyryKuusela/GammaMaP,swh:1:snp:a33a8b12d3fc32815fff5a443cdce9acf829e6b1
28386,https://github.com/NREL/CombIgor,swh:1:snp:e4010e04022f500bbc0578551425bff612eaa09a
28387,https://github.com/joshspeagle/dynesty,swh:1:snp:ffc8dcf18367c9864106f3d49c00b182a4f12e08
28389,https://github.com/lodash/lodash,swh:1:snp:1364432de6e1f4947a41bccdc74d7c214d5f8d4d
28392,https://github.com/openQSEI/openQSEI,swh:1:snp:bfdac717e416d79f85cfedfc40498b5da6fdbeb9
28393,https://github.com/Andrew-AbiMansour/PyGran,swh:1:snp:73e4c44ca229e9d8ab4871d6337a49b5deeb12f7
28394,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00008,swh:1:snp:7a6c11f80866e46e2dac4ee5cf20ab91ef215b44
28395,https://github.com/jcvasquezc/NeuroSpeech,swh:1:snp:417bf203a827e082584ad13cc3c6632cad6ebe1b
28399,https://github.com/KKimura360/MLC_toolbox,swh:1:snp:cbd8c4787abf45985c841d876eac3957dcf9f119
28404,https://github.com/SeydaErtekin/ORL,swh:1:snp:52005f3e8d24e56cafe37a29ed91b7fe398cded1
28407,https://github.com/adbuerger/casiopeia,swh:1:snp:da07849d5e825040137e20bf7fcb4506170daed5
28417,https://github.com/enriquegrodrigo/spark-crowd,swh:1:snp:a0b8000713ec19954cb41bf337ad19e6e6f7ebad
28418,https://github.com/apache/spark,swh:1:snp:32513f88407904b1272c35d939f2daacf47428b4
28429,https://github.com/rubygems/rubygems,swh:1:snp:1cd0ab145224922dda79b16143dd5eb88da7fd5c
28431,https://github.com/clojars/clojars-web,swh:1:snp:4ce86d6428665d30871cb1c3b6c7ad91c1df9f4f
28433,https://github.com/rust-lang/cargo,swh:1:snp:618a368e403945c72e25dad8858a8ed5461cd0a1
28435,https://github.com/composer/packagist,swh:1:snp:c7e310124a64c14d25361ebfe28b51df7bb7620d
28441,https://github.com/cran/weibullness,swh:1:snp:474e0cfe862930995cb8bedcb45fc48e1945b110
28442,https://github.com/softskillsgroup/DynComm-R-package,swh:1:snp:c8e63abe44142645e673f2cb455e9e4748c0bb6a
28443,https://github.com/cran/reticulate,swh:1:snp:843a18a01e6677c7d22b00727192d5b47b1fb63e
28444,https://github.com/GiulioRossetti/RDyn,swh:1:snp:c8050e6c01732b00f4691f165f85d93c32dd59c0
28447,https://github.com/rtavenar/tslearn,swh:1:snp:271ae781ef71e8bbc5805226559e3e2509de8c6b
28448,https://github.com/blue-yonder/tsfresh,swh:1:snp:8ec9e83d57ffe9a0284bdc94565a9fe32154898f
28453,https://github.com/ucl-exoplanets/TauREx_public,swh:1:snp:723a1627e6500d077b9c6dc9e1f13434093c5092
28456,https://github.com/exosports/BART,swh:1:snp:29062f42c455d27e5de91c250eeaef8d4eee2d1c
28457,https://github.com/JohannesBuchner/PyMultiNest,swh:1:snp:b323337a1966fb8d2898f61eb914b9086246ee51
28458,https://github.com/ideasrule/platon,swh:1:snp:0bc73d8aa6230cb8410b5497150be6b6190cf5d8
28470,https://github.com/cobertura/cobertura,swh:1:snp:cc4de5aca4478f9618e83de7282098961dcb9467
28472,https://github.com/google/error-prone,swh:1:snp:c1ce0c97219f6827b70874da0d34ccd730de8568
28473,https://github.com/lihebi/bugbench,swh:1:snp:07428216ebff8b57389f97283f9472fcbe801108
28474,https://github.com/bears-bugs/bears-benchmark,swh:1:snp:9e563a1d60c292049c0c00cdf17ff9f7f4f4dfa6
28477,https://github.com/jkoppel/QuixBugs,swh:1:snp:a9216fa612c5b75c9018d1f52eaa74abc92d269f
28478,https://github.com/bugs-dot-jar/bugs-dot-jar,swh:1:snp:d4ad1feadf41391e339842fc047798b76def5023
28479,https://github.com/Spirals-Team/jtravis,swh:1:snp:cd72003434abde6aa929791cc8a08108459cf9b6
28481,https://github.com/ghtorrent/ghtorrent.org,swh:1:snp:bfd4d2fa28f2f7d97632bda8589a962c916e7389
28482,https://github.com/qiang2100/STTM,swh:1:snp:d457175950d1745437d66c046d8483d0e4743144
28483,https://github.com/yanshanwang/JGibbLDA-v.1.0-MatLM,swh:1:snp:f6b1256091fe19de8327775b1c9ca087c5c7fb43
28503,https://github.com/Sobuno/ZKBoo,swh:1:snp:cc5ec0039e91ffead2b4de4c6648221c17f551fb
28509,https://github.com/MozillaSecurity/funfuzz,swh:1:snp:2ce3099e41478797639c94920f7cfe6fa58ce5c7
28535,https://github.com/ekiciburak/impex-on-decorated-logic,swh:1:snp:26b3f58c90df7b438eda73d01fb5479e5dfa48eb
28544,https://github.com/ericfinster/orchard,swh:1:snp:03b3d309fd09e491a077ac35d3bca77ca478c6fe
28557,https://github.com/oyvindry/applinalgcode,swh:1:snp:3c355e4ec1ab7074226af26837ae2bf3e7a05947
28559,https://github.com/cran/PracTools,swh:1:snp:a8be3417bf35249695a33f94bcd365ffdff72d04
28591,https://github.com/coq-contribs/containers,swh:1:snp:2be72eaee18535de74bf488f2ce09d642ff03541
28615,https://github.com/coq-community/atbr,swh:1:snp:1ac5bc12669c466eb2b1e6455603a90d1dc5a08b
28620,https://github.com/EpistasisLab/penn-ml-benchmarks,swh:1:snp:e42b2294aa306b040814c4b731089cb5c2794db1
28626,https://github.com/BartoszPiotrowski/ATPboost,swh:1:snp:2e71e3c98793567c1217f9fb9af99e2d7b644e77
28648,https://github.com/nasa/pvslib,swh:1:snp:f2dfd100b80c174dbc5c1834688986c7aabc1f73
28667,https://github.com/cksystemsgroup/scal,swh:1:snp:c18b2b9f88a6dab0a2421aaf7107a3c2c39ff48e
28672,https://github.com/goodlyrottenapple/muddy-children,swh:1:snp:50620d126b42f4bc8bfdfb025f3c775a42d683a8
28673,https://github.com/goodlyrottenapple/calculus-toolbox-2,swh:1:snp:9e98190ed79eda8383880a0e24a843c5641991f9
28682,https://github.com/Parsl/parsl,swh:1:snp:71548dfcb18167095f5c5c76f2972e0a5719460c
28683,https://github.com/jlaake/DsShiny,swh:1:snp:3ecbb87efa23ac86198bb1f980b31d42105958cb
28685,https://github.com/cran/Rdistance,swh:1:snp:8c57be0ee56d672cfb0eb2fb556721badcdf1413
28695,https://github.com/herumi/fmath,swh:1:snp:52c414f310388e8416d697f4204d8b70d3d1ea53
28698,https://github.com/newtonjoo/sann,swh:1:snp:60a64a3bbdddddbff9e9e2c28566eb84e2fa7c25
28711,https://github.com/cran/GPareto,swh:1:snp:089309cecf75ea6dae59d9b21ab39a272243590b
28712,https://github.com/cran/mopsocd,swh:1:snp:3a8ebae8f75067e033a08cea88b0ebd6df798d93
28713,https://github.com/cran/goalprog,swh:1:snp:ff37e0c0da9b8218a5e215c9dfd8ae36ad4c39de
28715,https://github.com/JRSijsling/quartic_reconstruction,swh:1:snp:1b85f6bfd139ea6cef82c2ffeeaa65f45180456b
28728,https://github.com/AppliedMathUAntwerpen/PyNCT,swh:1:snp:492ad0cf713657f825e4f1e8bbfab2b7007ad436
28729,https://github.com/boyinggong/MethCP,swh:1:snp:7bffef784fcbb0b75cef5f027b452eff3d3be80b
28737,https://github.com/spotify/luigi,swh:1:snp:9ca496ed7f367aa37f2c3db1ab4bb1044f84761d
28743,https://github.com/deepmind/lab,swh:1:snp:86cc045e5352f41db2a7142226a5482e5ddbf50c
28745,https://github.com/kipoi/kipoi,swh:1:snp:036d34d66ca2978303ebd04c11510bed835d2529
28746,https://github.com/hackingmaterials/matminer,swh:1:snp:4231b3b06552af203fc884646f60320ecab120d7
28748,https://github.com/horovod/horovod,swh:1:snp:b34fcbf09f7999e19b497d03c42d122996dbaee2
28754,https://github.com/cran/crrstep,swh:1:snp:5991d63547bdc74d1c89c2a8c3fec8fb31051729
28755,https://github.com/cran/crrp,swh:1:snp:6bb5c8fc038d9021d999bab6f47a80e7fe233cb5
28756,https://github.com/Lebronmydx/Simulee,swh:1:snp:357ed14802a85e94ef1b39147f6c8d2c66326c95
28758,https://github.com/arrayfire/arrayfire,swh:1:snp:48d632809c86e8f0699126c4ba51284b25fbb1ba
28759,https://github.com/Celebrandil/CudaSift,swh:1:snp:9695fd11b599ed9dd7049f3e745c107ee32a0929
28760,https://github.com/dmlc/mshadow,swh:1:snp:6a2d8218476aa531ffe3c662f4316b24b67e8a36
28761,https://github.com/stilltracy/Barracuda-tests,swh:1:snp:1f470f3f8b2cbe83a7f94b96467376b8388d34cf
28769,https://github.com/xxy39/HMM-Fisher,swh:1:snp:153d852ec7a6fc008ebb8da80650575229baa9c7
28772,https://github.com/soedinglab/MMseqs2,swh:1:snp:379bdee5f93f9bb73b563860e9fb4c8bc01f114f
28773,https://github.com/gui11aume/starcode,swh:1:snp:2160b467af7819a771c22e0bfa38e048de6c01bf
30189,https://github.com/cran/rrcov3way,swh:1:snp:56fff7787823d36ad29d0cd33f38333af0104eee
30190,https://github.com/jakobandersen/graph_canon,swh:1:snp:1c45ac8dffc711fe4b413a064637e9194fa623af
30191,https://github.com/jakobandersen/perm_group,swh:1:snp:4d79440e1b452560c4de4f173077d5c8707be5f8
30193,https://github.com/pkaski/six-subgraph,swh:1:snp:4d162467845c9574d288d66e42b1cb38d57ec868
30197,https://github.com/Aircraft-Design-UniNa/jpad,swh:1:snp:321ff8692647befcc19914332a8e939e7dfb3fae
30199,https://github.com/DLR-SC/tixi,swh:1:snp:3b7bab6e6045ae8cad9935fe3daf3d7c0ad2048d
30200,https://github.com/RISCSoftware/cpacs_tigl_gen,swh:1:snp:16451ce00dee81e310e387704a0d250ed648b291
30204,https://github.com/cfsengineering/CPACSCreator,swh:1:snp:5db27bfffd758bae42b213d6f6afca45043231cb
30211,https://github.com/sarahtattersall/PIPE,swh:1:snp:07ff262d0d91bc5b49694883602d689114e0870c
30217,https://github.com/Hananel-Hazan/bindsnet,swh:1:snp:8703d089f6ad4d9f93f883db62dbd1348d2f3c8f
30219,https://github.com/nengo/nengo,swh:1:snp:63dd02b5188c3d4c9c78ad5a51c0c2effe148f22
30223,https://github.com/adaa-polsl/RuleKit,swh:1:snp:c793fdbb573e9ad48658d3f60d8d5e5d5aea1ca6
30224,https://github.com/adaa-polsl/GuideR,swh:1:snp:4f29ebfb60c27d4f70567b24f41c971b8056a7dd
30225,https://github.com/awojna/Rseslib,swh:1:snp:f62255b7942922f50600573bb0f3e271df0d7d55
30228,https://github.com/alt-code/DockerizeMe,swh:1:snp:ebe0c3572b0efe1ad35a271f0d380521895176c9
30229,https://github.com/gistable/gistable,swh:1:snp:26c1e909928ec463026811f69b61619b62f14721
30230,https://github.com/dbuscombe-usgs/PyHum,swh:1:snp:959abfdabb5a7fd77e6acae193c96af60bed7b0f
30232,https://github.com/plasma-umass/Tortoise,swh:1:snp:09d76cfd3ac04b13cecd14d1ba35f8f4cff33e76
30234,https://github.com/jcoglan/sylvester,swh:1:snp:8cf0ae8a6da8db881255acfd455406aaf0013b58
30273,https://github.com/cran/VGAMextra,swh:1:snp:05ca1e976464756fced46b022dd068e4dec22c36
30287,https://github.com/Biomedical-Imaging-Group/GlobalBioIm,swh:1:snp:5233540140fb22c0350dbb5b1fa378a17fabfb65
30289,https://github.com/rbarreraiii/quasidegrees,swh:1:snp:c700be61fac37401a1894231535287483bd97ae9
30296,https://github.com/cran/easi,swh:1:snp:18c846b8fb85494439f3d58dfeace912723cf65e
30301,https://github.com/Microsoft/FourQlib,swh:1:snp:0acbb4b9251f084e30762f9ebf12ab54d49c2e06
30304,https://github.com/lo-th/fullik,swh:1:snp:e70e5a880072699c02b31a7a6adf1e55c449ee3c
30309,https://github.com/dasmith/IsisWorld,swh:1:snp:78ad588cc5314bd602b70508947280f97b6fa350
30314,https://github.com/cran/RFishBC,swh:1:snp:09b552a375a0e3176c7b43ee4b162a5260aab967
30317,https://github.com/cran/TropFishR,swh:1:snp:bc960a739d4335552cd1f9d518523fd2e0d9bcda
30320,https://github.com/cran/mizer,swh:1:snp:87b72464499664ad569c282fd4e871763f213e38
30321,https://github.com/cran/oceanmap,swh:1:snp:0cd8c0aa5d9ff4d9d26dd8d4c1f7c874cab8c5bc
30322,https://github.com/cran/PBSmodelling,swh:1:snp:490ce1e6e999709e554b5f19e2a3bd35ec448416
30323,https://github.com/cran/stacomiR,swh:1:snp:6018cf66feeffac46943eb08f99d32d2085dd8e1
30325,https://github.com/vnminin/rbrothers,swh:1:snp:8eaa9f183100b3067668366562e5732da263d992
30334,https://github.com/cran/networkTomography,swh:1:snp:353ef97c751e32089cffbdd265b7e45fb732f65c
30335,https://github.com/cran/skewtools,swh:1:snp:b40ab0ce0f1a3a1dd210105c0a8659ccebcd6881
30340,https://github.com/cran/JohnsonDistribution,swh:1:snp:d7968f956c14057539d595334a1050390a15057b
30342,https://github.com/adda-team/adda,swh:1:snp:5836851b92e88a0efc4520bc8e663ca5523b1a06
30346,https://github.com/VERIMAG-Polyhedra/VPL,swh:1:snp:a393d990f2e25beb2d958fcdc10ac86bd9db1392
30349,https://github.com/aizook/SparkAI,swh:1:snp:498a9847bdf8b1ee7dd3e57cf0f39bc3926470fc
30351,https://github.com/thalesians/bayestsa,swh:1:snp:12d4e453e6e59deae167a1cf8cf06d1fd9f5699c
30358,https://github.com/cran/pear,swh:1:snp:57f36555da0ffa72527c7c969f6c2447f305df36
30361,https://github.com/cran/ppMeasures,swh:1:snp:d338659bc26d1c6462af8ecf2d384f75a5ae0092
30365,https://github.com/cran/PCIT,swh:1:snp:6781a232e0309d0ae1f388e790d7cd49feaca83b
30369,https://github.com/doganulus/montre,swh:1:snp:877c32dfe2c860e741f7b59c52e96b4bec145e34
30371,https://github.com/mochajs/mocha,swh:1:snp:d9df53ac22811016f4acce04a617883d7a1847f6
30372,https://github.com/jekyll/jekyll,swh:1:snp:61b82b819ea45844408002b3abccb59d5de5594d
30374,https://github.com/eduardoboucas/staticman,swh:1:snp:226df0470e4e64cba80f37f42b9b54237cb7fbad
30376,https://github.com/hoaproject/Praspel,swh:1:snp:ba84065d200476a12675135309867aa05e45afd8
30378,https://github.com/cran/ggrepel,swh:1:snp:c0b972a1a349a6caca94c44a42c7fcfa8ea9da93
30382,https://github.com/cran/LSAfun,swh:1:snp:3a8f2359349356d34775c9ee64c6099505f21dd2
30385,https://github.com/cran/aTSA,swh:1:snp:822a84a623d293b67621e463aabb670cd616bd35
30387,https://github.com/km-git-acc/dbn_upper_bound,swh:1:snp:e087e9d5ab1f291c8336880c10e7aa603ebdbb02
30396,https://github.com/Codiad/Codiad,swh:1:snp:5c517d4522d1c48e323c4088b1d64725dcd36bc9
30398,https://github.com/eclipse/che/,swh:1:snp:4e8250757ce7ac10070ff2136844a20ff7f969d2
30406,https://github.com/bioasp/meneco,swh:1:snp:149c010bf45feb1102232a296fdf630841d937a3
30416,https://github.com/nikoslagaros/TOCP,swh:1:snp:bf1cdb09bbd30946157af23d28046e40e2d7bd76
30425,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00092,swh:1:snp:9d27b7981df8352f724ab83b08b6ee6e6669c7e4
30426,https://github.com/acq4/acq4,swh:1:snp:198eee19be5ba2f8b5a3614b3c02e07c191998bf
30427,https://github.com/HelmutFedder/pi3diamond,swh:1:snp:3fe9e727db68c3339610d58121e8bb6463e47cbe
30429,https://github.com/pyqtgraph/pyqtgraph,swh:1:snp:d98ea78db767eefc1ac24ad617de2ef4789dd0cc
30434,https://github.com/cran/numOSL,swh:1:snp:02aeba25ad0ee25b2cbaa630bd34d97763bee63c
30439,https://github.com/pablofdezalc/akaze,swh:1:snp:60d0e51083c48e51ecddf281e994b243a1c51a99
30447,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00055,swh:1:snp:82818c2665be75f20ff1d52f980b135c1bc43df0
30448,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00083,swh:1:snp:2e30eb7a72d714314ac3e4671282a5a4e1fbadcf
30449,https://github.com/wojdyr/debyer,swh:1:snp:ff5e77c04ce7e7a45cc30543227b12423323dd81
30450,https://github.com/PAPARA-ZZ-I/PAPARA-ZZ-I,swh:1:snp:30df732f577894f3f265cfd4af9d0d6b3e922d18
30456,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00015,swh:1:snp:44f6c60a29694ee668f344b3daa135bd80b2b821
30457,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00013,swh:1:snp:1d90a68e590f1f97af865496cf9043fdba9e480a
30459,https://github.com/jdleesmiller/rucas,swh:1:snp:1aa6d46f855bbd49b4889b3d2b32b8a0967dea66
30460,https://github.com/brainopia/symbolic,swh:1:snp:d659b3f2672575b449c831c342b30fc78f7f97f2
30461,https://github.com/robertour/CulSim,swh:1:snp:735b0dc31032461658e9573ec44d0d9a23981822
30467,https://github.com/atiselsts/spacescanner,swh:1:snp:f3ff222bc239c453e74e2a832a6b43ad80244746
30479,https://github.com/knmnyn/ParsCit,swh:1:snp:3658f8b5791c53e35f32798e549fab1a7784b5b2
30489,https://github.com/cran/DiffusionRimp,swh:1:snp:b921b4a159c3e9c4a542c4315891d75e4dde4acf
30490,https://github.com/LRydin/KramersMoyal,swh:1:snp:b93e2c68d89257c6c8cab75752aaa94fb59c8701
30496,https://github.com/ElsevierSoftwareX/SOFTX_2018_197,swh:1:snp:f2aa9e53f39c4d01b2ab06042377bbe83814593c
30497,https://github.com/ElsevierSoftwareX/SOFTX_2018_211,swh:1:snp:780817f20f87482fbf7462b5846b48d51d281077
30498,https://github.com/AOtools/aotools_tests,swh:1:snp:83c93ab72210dbaab21f07e8d3e48cf75f521e67
30500,https://github.com/AOtools/soapy,swh:1:snp:20e78e190084da0ac357cf90fd92334c4b1d825c
30501,https://github.com/ElsevierSoftwareX/SOFTX-D-18-00002,swh:1:snp:8acedf84ad8eadbfb41c6ea3b8c407e8ef548628
30502,https://github.com/frigaut/yao,swh:1:snp:2cb60321c33a0034a556a261122dcf11171822a4
30503,https://github.com/lianqiw/maos,swh:1:snp:c0d9101553b01cb13e9c8f7b2f8c8054060f6c5e
30507,https://github.com/dpfoose/Vespucci,swh:1:snp:3ad6429102a723f325faf0cd4386969c79fe7116
30509,https://github.com/HECBioSim/Longbow,swh:1:snp:72026cfb38d25700d6ac449fe026b0b77079cf53
30512,https://github.com/aritrasep/FPBH.jl,swh:1:snp:d577eec239ebad68b639238261758b6e00b10dab
30518,https://github.com/flame/randutv,swh:1:snp:cfe595d7d02c358a169f81da021959593d3132ee
30521,https://github.com/nystrom/jsai,swh:1:snp:8de945f756831b4dd98836ac95a63fd47a1fb4bf
30523,https://github.com/ExpoSEJS/ExpoSE,swh:1:snp:69b8d85c6da8a4fe91e86bbb37c8285ede3ca49a
30525,https://github.com/ARMmbed/mbedtls,swh:1:snp:a3125ab0cb9cea2f69e2d2500db33e0dd573fd54
30526,https://github.com/snucrypto/HEAAN,swh:1:snp:47fd031eab2efbbbce30817e160578a2e72d2839
30531,https://github.com/ecrc/ksvd,swh:1:snp:2d4535cfee1a14e7e8dda1a491c43a961f43bf0a
30532,https://github.com/guillochon/MOSFiT,swh:1:snp:cad02753871630c32bd35f3ed709eca750a183f3
30540,https://github.com/cran/snp.plotter,swh:1:snp:b94cddb8200204a7d7508f35f5615df8d824eb98
30541,https://github.com/cran/Rpad,swh:1:snp:f3a128c6e19edb73c18dfe9c54794b382c5dd6d4
30542,https://github.com/cran/LDheatmap,swh:1:snp:168a290031cb896b9f323d2d6900847590bf3a49
30546,https://github.com/cran/ICE,swh:1:snp:428eec9a8cb8fe4a5dd16d24df4d42213869bbc9
30562,https://github.com/knaidoo29/mistree,swh:1:snp:065bc215eb59ca746a6269a9a18e55ed5ace609c
30577,https://github.com/cran/spatclus,swh:1:snp:98d445f0e61a4e4488f4ea5a09bea83ab88bb3f5
30584,https://github.com/projectmesa/mesa,swh:1:snp:20041df915d36aaa9d5959d8ebeaea37ddad5e8f
30586,https://github.com/jashkenas/coffeescript,swh:1:snp:5d07cceeacf115996ce327f59111c232c1cd9877
39134,https://github.com/s3prl/s3prl,swh:1:snp:de825b1a741f163952db6e4413ff3361c9c4e41a
43394,https://github.com/bdslab/aspralign,swh:1:snp:611ed390dd0368c4423d8880e828cb798e43a592
43384,https://github.com/nabeelalikhan1/CNN-based-TF-image-enhancement,swh:1:snp:b0bc46081ca07d55b9efff70fee900f00b09b3c8
43379,https://github.com/Pyomo/mpi-sppy,swh:1:snp:0e0f551005cbcb6609ff914c777a797a0e590d2e
43375,https://github.com/tulip-control/dd,swh:1:snp:8fb73262049f5f39d350628bce65d077602d2fc9
43370,https://github.com/mido/mido,swh:1:snp:cb3cd7ed4efffce7ece91e70eb3f61d65eb5f507
43369,https://github.com/craffel/mir_eval,swh:1:snp:5fa1155bfd10b25136f03cbf7bfa5634e0127b2e
43365,https://github.com/Natooz/MidiTok,swh:1:snp:006e719430ee6feba704f34f4a579bde894b116b
43364,https://github.com/salu133445/muspy,swh:1:snp:8425c54e8b90e3bbba7bd5deb5ccf9dbe537edbc
43363,https://github.com/craffel/pretty-midi,swh:1:snp:4ef2564b47c22dea43fffc9552902293a2b44463
43355,https://github.com/freemocap/freemocap,swh:1:snp:546ace9fb099459d888a1ec3b676c1aedc8e058c
43352,https://github.com/perfanalytics/pose2sim,swh:1:snp:0add9cf61186d6e14e4ada9201e2c2ee7149e0aa
43351,https://github.com/JGCRI/rmap,swh:1:snp:d9b8cb604d3245b83a7d99412d1d57ec6ce192af
43347,https://github.com/kexinhuang12345/DeepPurpose,swh:1:snp:7163e3929d8f10202ec67734f51cf47316429206
43344,https://github.com/adavtyan/awsemmd,swh:1:snp:030986a55cdae13f60a28f22779ece07106ad468
43337,https://github.com/MathBioCU/WSINDy_IPS,swh:1:snp:d6d33852e4a67d845cfd87a3797e4aadc63e4291
43336,https://github.com/bio-ontology-research-group/deepgoplus,swh:1:snp:ee872468772714374fe889f5cefbf45fc3dfaf6a
43326,https://github.com/Tian-Dechao/diffDomain,swh:1:snp:ba000770c85c605d08f23f63285a4d0dee426b32
43325,https://github.com/cbg-ethz/TreeMHN,swh:1:snp:a8d9e22ec0f305a530cc63b996c9459702f60a54
43322,https://github.com/raphael-group/scarlet,swh:1:snp:f1662e011e8f6bc4727558c6f4b3f594a182acab
43316,https://github.com/franciscozorrilla/metaGEM,swh:1:snp:be0012d6780fed56b145663b6c96a01a05716454
43315,https://github.com/OpenGene/fastp,swh:1:snp:7758251cc5759d21b857c6b8c0d563dd52fac1b3
43308,https://github.com/metagentools/MetaCoAG,swh:1:snp:72948f9958295e142e1aec604ee8e253c65c7523
43307,https://github.com/ZhangZhenmiao/METAMVGL,swh:1:snp:603982f66715780010fb07e97c00f04bbea361e8
43304,https://github.com/ablab/spades,swh:1:snp:7f2b8d632b099eb066bb8c44b2d99e254b0fe298
43303,https://github.com/metagentools/GraphBin,swh:1:snp:c958e37bbdca87096f83a08e9387ecad906d854d
43302,https://github.com/fenderglass/Flye,swh:1:snp:822fad3e631a8f257e460684a4df360cb4f07a55
43300,https://github.com/junyangq/multiSnpnet,swh:1:snp:858d6fec8f3ca4ad114960f767a8277ac8e3c0a5
43290,https://github.com/Shao-Group/scallop2,swh:1:snp:89c00f47dbb3f4725ef7fc5f28e2b1a7176af142
43287,https://github.com/gpertea/stringtie,swh:1:snp:8d55a8dd6b54ef122201b158941ec41d58f835d9
43282,https://github.com/ncbi-nlp/DeepSeeNet,swh:1:snp:c57d72142fecc1ba474da926a086443daca52b17
43280,https://github.com/lagelab/Genoppi,swh:1:snp:b928dadc30d1158776b0ff7da5f19927340cd058
43275,https://github.com/Shamir-Lab/DOMINO,swh:1:snp:29f46f5da6b72ca6789d10758f72216d38d34ab7
43271,https://github.com/oncokb/oncokb,swh:1:snp:baccba2e6502187bd7b57f4810914491c1017440
43250,https://github.com/glottolog/glottolog,swh:1:snp:be23720a0a237b8d18890124a0fe21292e6e47f0
43249,https://github.com/glottolog/glottolog,swh:1:snp:be23720a0a237b8d18890124a0fe21292e6e47f0
43239,https://github.com/JuliaIO/JLD2.jl,swh:1:snp:b6c4975a6ba49f86a8a8a74f4ae94051c7868d0b
43238,https://github.com/Zitzeronion/Swalbe.jl,swh:1:snp:669ef53a1bb5fbe58778c3c958a0f8345833c392
43231,https://github.com/cran/tipr,swh:1:snp:f43bbc8dceb74e098840fd3e38a7de51d8301c5b
43221,https://github.com/JuliaMath/HypergeometricFunctions.jl,swh:1:snp:96d43a95fbc97b75291f81327a61c3647b6851f2
43180,https://github.com/gap-packages/modisom,swh:1:snp:f5db9be3d489ebec7d3d7b08688f5cf7a6712427
43168,https://github.com/yatisht/usher,swh:1:snp:b56b0821a29b8082971a0e829c2a0c6f57ed88fa
43160,https://github.com/ablab/spades,swh:1:snp:7f2b8d632b099eb066bb8c44b2d99e254b0fe298
43157,https://github.com/marbl/canu,swh:1:snp:f248e63af5dc844d98537b339d7b393e4578d676
43156,https://github.com/rrwick/Bandage,swh:1:snp:edc23566f8980adfff9a5cf18250d13731d33b04
43151,https://github.com/cran/echelon,swh:1:snp:f75c8ec47c6af55db270764f52fe56de57627ca6
43139,https://github.com/DCMLab/midiVERTO,swh:1:snp:f35fe5d8a530c500d40c39a7eb17315c22880616
43133,https://github.com/akensert/molgraph,swh:1:snp:cbbebe2d218f31d6092f0265273b12d4f9396b3d
43128,https://github.com/raphaelvallat/pingouin,swh:1:snp:eea4607c973a3f764982fa1c149fc96818ab0445
43125,https://github.com/CAMI-challenge/AMBER,swh:1:snp:79e0e0ecfade65c2a036712d713cfc12f8c1d538
42994,https://github.com/hwd404/FOLD-R-PP,swh:1:snp:0a02b7abb8ade9e91231f7a6bb45af1d05f2f7ae
42992,https://github.com/m-nabati/JGPR,swh:1:snp:6b512946fe92f6105de2b7d1783ea1c7b2a6b5c9
42974,https://github.com/cran/RZooRoH,swh:1:snp:807c9dc143099025a30498ccca98c704d909f59d
42965,https://github.com/cran/stlnpp,swh:1:snp:33a8e5eb20c000990915135dfc485c34681387c2
42963,https://github.com/antoinediez/Sisyphe,swh:1:snp:2280a2817ba118982f82852cf81866cc3aa7047b
42962,https://github.com/jwcalder/GraphLearning,swh:1:snp:eec10086bc8a4ce475851659de68dc0f4f4a470d
42954,https://github.com/bellockk/alphashape,swh:1:snp:16d673653d931da1c968326c7d3181edd8b36abf
42939,https://github.com/mciach/masserstein,swh:1:snp:62d70d0949ad9333de0811e9bc0a26e56602324c
42938,https://github.com/peal/vole,swh:1:snp:e7138cdcdb8c21e4246c219aebf70c7f176589f1
42931,https://github.com/kul-optec/alpaqa,swh:1:snp:841149bf0f83e5590de0fcba6de0d72d34d9f27b
42930,https://github.com/JuliaFirstOrder/ProximalAlgorithms.jl,swh:1:snp:b8c7a2f7c5701741b86e46b00138500d41beb29e
42922,https://gitlab.com/ChrisSchoutrop/krylov-adr,swh:1:snp:a609bc275e49cb3033ce18052f212ba59250a2e2
42902,https://github.com/mrapp-ke/Boomer,swh:1:snp:11da7b85f298e1f200e4600843447657a857bd5e
42900,https://github.com/SkBlaz/reliefe,swh:1:snp:16546987dd55276b64191d8a220412082a2b0b7a
42898,https://github.com/GAMES-UChile/mogptk,swh:1:snp:321abf19827d66e2a2d970e0fd77d6b53c0bc712
42875,https://github.com/manroygood/Quantum-Graphs,swh:1:snp:83be06831cacaad4c5df795eb88ef68387712d74
42873,https://github.com/ywwry66/QDA-by-Projection-R-Package,swh:1:snp:e14f836cf14745808a4b943fb51631d8119a1630
42870,https://github.com/cran/FastJM,swh:1:snp:4497ebe1993fc7f594330a14d61dccdb34678fb4
42869,https://github.com/google/edward2,swh:1:snp:cec8437ed537a87181bb0e2723ac6ecfba87d8ad
42868,https://github.com/pyro-ppl/numpyro,swh:1:snp:dd8d7cb49b033172fc41f43ae1ab9c8a185cb735
42867,https://github.com/dfm/tinygp,swh:1:snp:7accaa17e7878e0ae30d37c5a922228b99363494
42856,https://github.com/tuckermcelroy/sigex,swh:1:snp:5634ccb8e85beb78b86a714befc9449d1eb0674d
42853,https://github.com/cran/BCDAG,swh:1:snp:48e6e8bf416a3abf0f8345eb38b6e33da02dc20e
42852,https://github.com/cran/ggquiver,swh:1:snp:1210345fc73ca50f55e83725fd7a0d7ead72fa3f
42849,https://github.com/drplaugher/PCC_Mutations,swh:1:snp:1edbf38fbed91b85ef0a682433cc41064b8e4700
42848,https://github.com/oneapi-src/oneTBB,swh:1:snp:429f02a741cbd1dbc8149e2c94cbcee97ec5731a
42847,https://github.com/opencollab/arpack-ng,swh:1:snp:b9c8deedaed03625bdb25b03da08ad038e6d1b15
42836,https://github.com/PrefectHQ/prefect,swh:1:snp:5ee01967ecea0dc33a0119c03bd5807625579365
42828,https://github.com/cran/plot3logit,swh:1:snp:57974089f4adfeaef42bdea0fde4570fc225d40d
42824,https://github.com/cran/ore,swh:1:snp:2930528103228caad22145a808c44cacd3976e87
42823,https://github.com/unicode-org/icu,swh:1:snp:7dc173faf05842b64e10affc0e50249cc0a98a7e
42815,https://github.com/cran/estimatr,swh:1:snp:37bab43a337cfbed0dc7379410ef6d87e3186552
42813,https://github.com/cran/huxtable,swh:1:snp:10b29daa4640d7dae98b292dd5f5e8a00ec2d57f
42812,https://github.com/cran/modelsummary,swh:1:snp:c2920395ddcf83651e74dbc32b2d7dee9cfc59eb
42795,https://github.com/SENSEI-insitu/SENSEI,swh:1:snp:d5ddef26c46fdd38fd3afa90bfba78223071cdec
42792,https://github.com/mialbro/PointFusion,swh:1:snp:f07662a8a0ef10d1b83feaae2d4fa12c8222759d
42790,https://github.com/minaskar/pocomc,swh:1:snp:3da0c518583aca6897e8c98e432b16767fd97251
42789,https://github.com/jenetics/jenetics,swh:1:snp:3a494634725bd7b3b81cc2ff6d381c1a8ae313c7
42788,https://github.com/trevorstephens/gplearn,swh:1:snp:45f044172ba2c21f39952544413646ef9ade2da9
42784,https://github.com/cran/edibble,swh:1:snp:982114bc2c337900255c9fa87e6dcf111f5acd54
42781,https://github.com/cran/ggwordcloud,swh:1:snp:0da4b3147aec3b2bbe623e3b0bc7fd21057eb2fd
42769,https://github.com/boyiguo1/BHAM,swh:1:snp:49242864989112c91977adf2eb8addb3b48b7972
42753,https://github.com/facebookresearch/pifuhd,swh:1:snp:142a7586a53eef44926eb15b1296ad25e38ec83d
42750,https://github.com/bmild/nerf,swh:1:snp:068a2c32afc7f25a02946666c0687f9af459233e
42748,https://github.com/shunsukesaito/PIFu,swh:1:snp:b85e765b95e6fb166992c364a0cc349269ee4231
42742,https://github.com/open-mmlab/mmdetection3d,swh:1:snp:5f0a49fac052d53a9100a3545969f98cff128727
42739,https://github.com/HuangJunJie2017/BEVDet,swh:1:snp:c8d15731591efda8934294e8c2ae44d1f8743628
42724,https://github.com/facebookresearch/pytorch3d,swh:1:snp:ae113efa63db0f241e395b94be867e7aeb879332
42717,https://github.com/raboof/nethogs,swh:1:snp:c4aadd9e7e3e05cb4d25eb8b1a42bc35383aa60a
42712,https://github.com/google/visqol,swh:1:snp:53e4c501d9d4eab68bd52f407502a2fd8985ece4
29783,https://github.com/dswah/pyGAM,swh:1:snp:5c4f713cda42d9515cc73907b66d88cccb7d245d
29784,https://github.com/hippke/tls,swh:1:snp:5ce240c83b27cd7b5529966614e6fb2d78625ad3
29785,https://github.com/dfm/celerite,swh:1:snp:a45ae4baf98f2b06596e9be3b0088300cee555b4
29787,https://github.com/cran/shrinkTVP,swh:1:snp:cf17d8be0f9724a518d11e705eb1b6b86c9a3ad5
29788,https://github.com/cran/bsts,swh:1:snp:f531334823a18097923373000debd0bd194687cb
29789,https://github.com/cran/NormalBetaPrime,swh:1:snp:74c35fb96319feb87e91790c2329181085570cab
29792,https://github.com/cran/rcosmo,swh:1:snp:adeb1c94b71002b0a46ee19973eb6ab24abe4e65
29794,https://github.com/cran/mmap,swh:1:snp:6c1debd6850eb2a545f60313434fbc74db1278d2
29795,https://github.com/healpy/healpy,swh:1:snp:60d661881bfc494dd4585c12ff0a356d362055d0
29796,https://github.com/cheungdaven/DeepRec,swh:1:snp:983cd3d55d0af974eb9d8d84484c89765786a165
29797,https://github.com/guoguibing/librec,swh:1:snp:6728af7efaf087a35c0fa3a04892fbb5eb8ce621
29799,https://github.com/gtshs2/Autorec,swh:1:snp:8604f23c71baf6fcee17321dc2b60cba2d8b0e90
29801,https://github.com/NicolasHug/Surprise,swh:1:snp:974f798ae8772b2e255418b86c19e8d9669a908a
29803,https://github.com/ErickChacon/mbsi,swh:1:snp:ed8d94597ada4357d6732a77d66a63eea3421e4d
29804,https://github.com/cran/bayestestR,swh:1:snp:a46a02e26b8fb1fd54e308051512eb3699e8dac6
29805,https://github.com/cran/emmeans,swh:1:snp:25aaf5790cb98e512c4d27587ceaa233e0c71fa4
29806,https://github.com/cran/insight,swh:1:snp:5a33cf38072e3498585c504de316667534171f57
29807,https://github.com/cran/performance,swh:1:snp:4c4d686bbe29291e9ab43fb938550873958ddb72
29808,https://github.com/dblarremore/webweb,swh:1:snp:0e1614470b3ce463b2fefdcac012a8d5803858a7
29809,https://github.com/benmaier/netwulf,swh:1:snp:d794e1f8cb74d6d7ab770feaf4373644083d3fae
29810,https://github.com/ibm/ocean-tensor-package,swh:1:snp:c7179e46af5f2a232bab8e36b17495ea266fc0f5
29811,https://github.com/pints-team/pints,swh:1:snp:78aec921b9d1894af72d052405cb15c4285d18ee
29813,https://github.com/FeralFlows/SedSim,swh:1:snp:13f55e23edc88432a1fff7eb304eacf879fd58e1
29818,https://github.com/pankajkmishra/NodeLab,swh:1:snp:bdb3ad54780989892d7f36ebf25e2a6ab1102b62
29866,https://github.com/eigenkernel/eigenkernel,swh:1:snp:dcb140d3b14a7fc50b82327eaf606ebdba8d6307
29880,https://github.com/analog-garage/dimple,swh:1:snp:5f41a2a2081675cc5a2b6474568d5cfd5633feba
29890,https://github.com/symoro/symoro,swh:1:snp:ac46ab1995b81b50b3bf143ece0057df9352fa28
29893,https://github.com/ElsevierSoftwareX/SOFTX_2019_130,swh:1:snp:29ead5fe24607b5b09b27b44f644a4fcbc910452
29896,https://github.com/fzama63/Upen2DTool,swh:1:snp:07edf5f888f68425a6692a6e4ed0d3cf69d48721
29898,https://github.com/ElsevierSoftwareX/SOFTX_2018_240,swh:1:snp:dc4065771dc7d2fc9a6e788cd3a915a5a8a2ff3a
29899,https://github.com/SwissDataScienceCenter/DeepSphere,swh:1:snp:3141b9653b68752944b4a6a0af2cde7069eb8d99
29901,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00092,swh:1:snp:70c511a415df98d67e1bc85711f77347746c41d0
29902,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00059,swh:1:snp:cd5cb06eb7ce28f86d65432cbeec4fdf85229d8b
29903,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00097,swh:1:snp:c08089b4deba464abd892a66a36c9f42922ae338
29904,https://github.com/FoleyLab/wptherml,swh:1:snp:4a255b9bbccf8c1d746fb8a461711b6bc17712af
29905,https://github.com/sbyrnes321/tmm,swh:1:snp:a1fa7a22759c8671218b319ca4905e4ef8e946d4
29908,https://github.com/ovidiopr/tmmnlay,swh:1:snp:878159a0c93de03712c63e6fd81749fb33ef5897
29927,https://github.com/swapnilh/whisper,swh:1:snp:805063b38246f37920f5c27443bc6a9e2bdfdcc2
29932,https://github.com/basicthinker/ThyNVM,swh:1:snp:cf92471c771de7e9b65ee2dd55fc2e76d9d1b7ad
29943,https://github.com/ElsevierSoftwareX/SOFTX_2018_179,swh:1:snp:b9bd6ea453cd4fb1ff10f4001a13913c68db7a81
29948,https://github.com/cran/SpaDES,swh:1:snp:fe965ce4e00d028d67059ba0e434fa35899b4aa7
29949,https://github.com/armgong/rjulia,swh:1:snp:0f56d52ac2479c4be00adb8d6ac6dfcb2ce4db37
29959,https://github.com/cran/validate,swh:1:snp:68dcd648ad685be6c0ece452b563fabb14b5de1e
29961,https://github.com/cran/haven,swh:1:snp:f7224888a8571ad1c60b60ec89d1e96194e63293
29962,https://github.com/cran/lmSupport,swh:1:snp:42e634d9a1a22760379accb619cf0679603a3566
29965,https://github.com/cherrypy/cherrypy,swh:1:snp:33b2c499a7727d4bdb978ad98379e0ac200f09f7
29966,https://github.com/cran/cocoreg,swh:1:snp:acb875a08a0c5cac503852887da33a2e31299bf5
29967,https://github.com/cran/CCAGFA,swh:1:snp:b836817921defdccd368b644ab5ba6d044972a3c
29985,https://github.com/rsyslog/rsyslog,swh:1:snp:3da2583c7d56f2a87d0737304239e023a877e202
29993,https://github.com/williamjameshandley/fgivenx,swh:1:snp:0d31a9c7efac8262f945540a5da1abe17252bd1a
29994,https://github.com/cmbant/getdist,swh:1:snp:0123e413d87f1184e2126d1602fc602fe34b49bf
29995,https://github.com/LAMPSPUC/StateSpaceModels.jl,swh:1:snp:aa7f7c8925c5252d46417e0af67fb6fc6ef8c3fe
29997,https://github.com/ElOceanografo/StateSpace.jl,swh:1:snp:b4f79217478b27dc3e9259be0cbb794221a3699f
29998,https://github.com/JuliaControl/ControlSystems.jl,swh:1:snp:8d485c35c18988c860a7e44c7a7df754df026450
29999,https://github.com/JuliaNLSolvers/Optim.jl,swh:1:snp:cae41a882835609089de853a7456e73d7aad5ad4
30000,https://github.com/robertfeldt/BlackBoxOptim.jl,swh:1:snp:e93921e9185f17e8021ed3d4cf9b2d36dd035a2b
30002,https://github.com/Merck/rtdpy,swh:1:snp:508f8a94a70ada459aca1672f40180d95c01072f
30027,https://github.com/lihualei71/adaptMT,swh:1:snp:c709bfca38c91cf7519b926fff70ef09a463039f
30028,https://github.com/cran/adaptMT,swh:1:snp:dd2bc7b7c8fffa6815155267694e2c8ff26e8b1e
30034,https://github.com/jernst98/STEM_DREM,swh:1:snp:d7a45b6c820cb39652604c5aaa5381fb487e313a
30048,https://github.com/tohweizhong/redhyte,swh:1:snp:88149149c1a9701a319216937acdc48a2bfc4e31
30052,https://github.com/cran/slfm,swh:1:snp:5d36e04ccd1b7e35727e7616d40324e7e3f6c09f
30056,https://github.com/cran/bisoreg,swh:1:snp:90c1eee4a723014a379b142ad556ffab3c284696
30057,https://github.com/cran/Countr,swh:1:snp:2f7ad5d76a6430220de4ebf2bfd287cd110464a8
30059,https://github.com/cran/smerc,swh:1:snp:4f1cbd78069bf04eebacc07cafbfae94ca995614
30060,https://github.com/cran/AMOEBA,swh:1:snp:8612a56ba20134604ea48a68f3df09dcc4284a07
30064,https://github.com/ecrc/hicma,swh:1:snp:c49076065057c9a5022d895770bb7b84bab5c565
30074,https://github.com/ElsevierSoftwareX/SOFTX_2019_55,swh:1:snp:482c3f986cb17ca0324afee9947f96f1645fd138
30075,https://github.com/ElsevierSoftwareX/SOFTX_2018_138,swh:1:snp:bc22f2292a01f9dce0eb40cbee491e85ec2cdaed
30076,https://github.com/ElsevierSoftwareX/SOFTX_2018_196,swh:1:snp:264f4779b11878f2556bc8adf1383bed922a0a5a
30078,https://github.com/dap-biospec/G3F,swh:1:snp:a4567a2ff1cedc8873a66c05688fd8a6f4cfa7b1
30080,https://github.com/Eden-Kramer-Lab/popTRT,swh:1:snp:97e0c9530f3584c6424513d32c67e07636148aa9
30090,https://github.com/exafmm/exafmm,swh:1:snp:dccaf6c902ef1e0da2fa3cd8c163b2d5f4971166
30091,https://github.com/hpcgarage/ParTI,swh:1:snp:1051cbbac9d62b32114499fa94a4c67baef87554
30093,https://github.com/ShadenSmith/splatt,swh:1:snp:d3a16889edc362d75cd7e92cce698733ac0acc2b
30098,https://github.com/LAW-Unimi/BUbiNG,swh:1:snp:efcc2ba8ea23b189e8ddaf0474b794b06fbb0bd9
30100,https://github.com/stakemori/degree2,swh:1:snp:e522b8d265b53a46c29bd11c1d5040e4b5974222
30101,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00029,swh:1:snp:7c96cddb4addf1893debbe1949d246b66bf1f128
30102,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00002,swh:1:snp:550ab551d6093991c49042adf7739d05eea4f803
30108,https://github.com/duetosymmetry/qnm,swh:1:snp:13fb884aade32aa04fbda9c1f8696e138c4af7be
30116,https://github.com/scalanlp/nak,swh:1:snp:4ed06403a62b5dcb36ff6c89287c3a8b552a70c7
30122,https://github.com/hamousavi/Walnut,swh:1:snp:8074dd774bcddb1e8233bfab74493581d63204a8
30127,https://github.com/tomlunderwood/monteswitch,swh:1:snp:f3c30596616127c0afc573d16e094f4092960e5d
30130,https://github.com/edgarcosta/endomorphisms,swh:1:snp:653d7be97cc177c38c08eee4ca0cdf81967b8b7e
30135,https://github.com/gap-packages/kan,swh:1:snp:d85237f18a6d4674424d7a7bb4bf6fdc3e443fc4
30139,https://github.com/cran/featuretoolsR,swh:1:snp:f22b9e95961700189d7ba2b54dd1f9697c0c08c4
30144,https://github.com/shaunharker/conley-morse-database,swh:1:snp:99ccfe71e506ac7c020caf2296cbbe33746e51ed
30146,https://github.com/cran/MRH,swh:1:snp:73633f8d86179678d274026b47e66dbc6430d0ea
30147,https://github.com/cran/bilan,swh:1:snp:06ec551bb3183f2a7df71dad1dd083af217be057
30151,https://github.com/cran/fastHICA,swh:1:snp:c7cbd8a90a7ce10da1657eea0e4aa54396fe029a
30153,https://github.com/yahoojapan/AnnexML,swh:1:snp:5eecff5fd022055907ef853002d8ee61e635f18d
30155,https://github.com/Networks-Learning/memorize,swh:1:snp:fb789af603ef60e4da68e60772d700fb27160449
30156,https://github.com/Rong-Zhi/sl,swh:1:snp:5afbd3e952b2cf5eaa7a7ca31184e461ad558bcd
30164,https://github.com/cran/LCox,swh:1:snp:523524fbb79c58ee4259c11cd205ebc773ff8e07
30180,https://github.com/vgteam/vg,swh:1:snp:1a06228ec904566059a3feccc516a198f5a9445e
30181,https://github.com/HongzheGuo/deBGA,swh:1:snp:7845e7785cd09cedb409ca84fa696c1db973007d
30184,https://github.com/Mrrl/GrailSort,swh:1:snp:57a101939d87899b456aa4de4e661a1b0c343700
30185,https://github.com/BonzaiThePenguin/WikiSort,swh:1:snp:e981a13057ca30a3ea81eea574750abd96bfd30a
30186,https://github.com/orlp/pdqsort,swh:1:snp:a11aab6d7246209546de2a3018affefb894ecfc1
30187,https://github.com/mincode/chconsole,swh:1:snp:61a75711919c81c407e2ca2ccc765b6dcb6c54f5
34459,https://github.com/imdea-software/homomorphic-authentication-library,swh:1:snp:5fc611c53cf74e22f9e6c201add8e82e3e2f4be0
34460,https://github.com/canyilu/tproduct,swh:1:snp:204e301536ac68a1c99e7d812e9e2275053e8bed
34461,https://github.com/ketch/RRK_rr,swh:1:snp:f5aef9ae72e9615d40be7ebce9ddd862e7ea49c7
34462,https://github.com/ranocha/ConvexRelaxationRungeKutta,swh:1:snp:4a7f1460213b180c10e771288813aff3db527a92
34463,https://github.com/arnolddkim/Asymptotic-DLP,swh:1:snp:7ca9ffd11692184faae80973a9b38579289efa65
34464,https://github.com/olivierverdier/mlem_notebook,swh:1:snp:2c0a97c53c78c2fb46faa0f6fb775b1dc5019a68
34466,https://github.com/sshonosuke/SPID,swh:1:snp:843caf14a5352d7645fb04767b08c70f6f0fb0b1
34467,https://github.com/lutzgruber/gpuSGDLM,swh:1:snp:acac3ecd74f298e144cf18877d50094ff5761395
34468,https://github.com/breecummins/min_interval_posets,swh:1:snp:94e62c375c27962afbd768907df44d540abf1320
34469,https://github.com/mahendriksen/ClusterMetric,swh:1:snp:398dd161b5df0af4fddb1df0083d7e7b74866e4e
34470,https://github.com/skarati/KummerLineV02,swh:1:snp:26c6ba120c0e1661201649bd6035dadd5971fbf7
34471,https://github.com/skarati/qDSA,swh:1:snp:337e4129f99f9296dfcaba738fbbb87c783ed7c6
34472,https://github.com/projective-splitting/just-continuity,swh:1:snp:a267f00d24125590cfb5e42eefc4279b9f378d48
34474,https://github.com/yanncalec/SIES,swh:1:snp:708c4c8424e9394a5e93f77018526f5002fa6dc2
34475,https://github.com/nmascot/LiftTors,swh:1:snp:31133b6205474793640ef5cfe863f7b58a392ea2
34476,https://github.com/Pat-Laub/ActuarialOrthogonalPolynomials,swh:1:snp:8e6a6396f00059568f637e7f5d0aa5dd54db9a9d
34477,https://github.com/ibackus/sod-shocktube,swh:1:snp:069993ae765defecf95420d4b142ca8c06866f13
34478,https://github.com/jesserobertson/multigrid,swh:1:snp:4da68dc7e222450f7ab9507f5d4b4dc764134ddd
34480,https://github.com/KTH-SML/pose-stabilization-of-bar-tethered-to-two-uavs,swh:1:snp:bdc1f7dd82bb2e0be0bb2b91d40d87ea47b594b3
34481,https://github.com/regulomics/expansion-network,swh:1:snp:48b12f0dac6138842bc6a316394df667396024e2
34482,https://github.com/DamianHeard/orb,swh:1:snp:43870bec31ffad2d5de9dd3f4abef44e4f8c9144
34484,https://github.com/LeClaincheVega/HODMD,swh:1:snp:a7216d5f0c2af3b90e00a813f9b2a1f74e43336a
34487,https://github.com/MarkCBell/curver,swh:1:snp:28e14f922b96875a1ab9fe1fe003339b2d6e46ac
34492,https://github.com/hivert/NumericMonoid,swh:1:snp:f8b3e786f22ef5f963bf8904935834753bb22548
34500,https://github.com/entron/snake-dmrg,swh:1:snp:dac3bf3b79be820f2a7454b991db2612d4829257
34520,https://github.com/ogru/fdagstat,swh:1:snp:acb8ab12f8b50eb690384bcd0e935bb18ae2b5cf
34521,https://github.com/LucaTorriani/KrigingManifoldData,swh:1:snp:b19ab9b991011d71e4861634e374d08140b8a8c9
34523,https://github.com/cran/MSCquartets,swh:1:snp:daa0ea68d9ad3472b7117377881b8a6f814ecd7d
34536,https://github.com/dannycalegari/schottky,swh:1:snp:f2b63e82840990ed0949134d0843681da9709df3
34544,https://github.com/ambrishroy/LIGSIFT,swh:1:snp:ee78fed1d6473740b0b20816fed27b85aa9630fc
34545,https://github.com/pierrepeterlongo/commet,swh:1:snp:ded4475f23bb33b9ebece2ff0111edad0db4b373
34554,https://github.com/CenterForStatistics-UGent/unifiedWMWqPCR,swh:1:snp:5d200022d25476a98d178e1e13954715b278d6e4
34558,https://github.com/GATB/MindTheGap,swh:1:snp:bab6b758371d175dcd451e271400c5495c775dfb
34561,https://github.com/shawnzhangyx/PePr,swh:1:snp:d94dc397cf4ae65467301443958dfaf32814b8a2
34562,https://github.com/HelloWorldCN/RapidMic,swh:1:snp:9a921e67566461186423f95ea6d62d536760bc6e
34565,https://github.com/cran/GPseq,swh:1:snp:9c3eff69c87389e761a2e665d0c8f60125fd7050
34566,https://github.com/sallesviana/MeshIntersection,swh:1:snp:889b375c8af897c0033a74c3b81d44015381deb1
34568,https://github.com/Roll920/ThiNet_Code,swh:1:snp:89df6bff87077ef43eb8e7838cd17f24cfa5500b
34570,https://github.com/fsahli/MFclass,swh:1:snp:20525f6707fb1c75741fb2e315d48963e32eae0c
34571,https://github.com/afarcome/mtclust,swh:1:snp:114ccc80bf08ece8e860b3c0869c39ec296db0bb
34572,https://github.com/un110076/ACDP,swh:1:snp:8fe420f1ecb02b4a527ea3171e7399f800354fe1
34573,https://github.com/andrewssobral/TDALAB,swh:1:snp:1bff19981cf19e600a41b5f3a7e1d729a31fbd15
34574,https://github.com/ndmitchell/hoogle,swh:1:snp:7d65cbb07464e61c99216da0fb99098d2aad70cc
34575,https://github.com/JackHidary/quantumcomputingbook,swh:1:snp:f2f807bf822675421252b2537ccfa156b6a13376
34576,https://github.com/EMMA-Group/MinimumEnergyPoints,swh:1:snp:195cbdf946b720d537d5bdc25fa070adaacdfdc3
34578,https://github.com/agohr/deep_speck,swh:1:snp:258ff52017d4d551fb42cb7868cba22c50cd51d7
34579,https://github.com/lamastex/mrs2,swh:1:snp:522d01d78409788228d1016ebc06615a78676942
34580,https://github.com/benhamner/Air-Quality-Prediction-Hackathon-Winning-Model,swh:1:snp:79a765e351e9f7f92fc17c5331f0a47ca020bb5c
34581,https://github.com/KAUST-KSL/decimate,swh:1:snp:389acf09f52c557cbfb734e86761c328e69c9a2c
34582,https://github.com/geodynamics/specfem2d,swh:1:snp:6273d145640c8b8d8959a4c0abac52c7d9e1cf67
34583,https://github.com/shfengcj/pydm,swh:1:snp:2fb162ac902ff5e1fc779ac6d57f6e38aa6e2190
34584,https://github.com/jump-dev/GLPK.jl,swh:1:snp:1e3cd0d44a6cb27b838ee06cc90bb02dcc2eb720
34585,https://github.com/jump-dev/Cbc.jl,swh:1:snp:d437695d16177e2327aacd043cf12f4106f5e591
34586,https://github.com/valentermz/Multipliers-of-self-maps-on-P2,swh:1:snp:d69dd02993e0931c7dbe44e01fdd78b2474285ac
34587,https://github.com/dawbarton/rtc,swh:1:snp:f5309eb57bed7f1c136690520274dbb752b53f3c
34588,https://github.com/nschloe/maelstrom,swh:1:snp:c08903df71e1b968624247e3ca3689b1cd14db06
34589,https://github.com/EpiStruct/WBR-2019,swh:1:snp:e01ae7dc683ea6fc4f1230adf3a6d37c37eff166
34590,https://github.com/alberto-santini/sgcp-via-cliques,swh:1:snp:1ea55b274ac2a9bc94cf1bcd01f68c04591cb63a
34591,https://github.com/wdvorkin/EMEuIA,swh:1:snp:922748a75999bc5f5abb4e2b90b293a047b266f4
34592,https://github.com/cjones6/chapydette,swh:1:snp:67df579379294a95491eeca3356c00be90b5dac4
34593,https://github.com/pelednoam/ieil,swh:1:snp:81b93eed4df737896dbe22b59c2f639c5b9c8e10
34594,https://github.com/imageio/imageio,swh:1:snp:2b5cae38bb04710a6257c7b1c94d2b7c5d53e945
34595,https://github.com/astroML/astroML,swh:1:snp:6cab172c79fbc8be2d937b6347ef099b32842544
34597,https://github.com/leejjoon/pywcsgrid2,swh:1:snp:dc50c62c152ee2f95b9be3ce6c808eeace3f3ab6
34598,https://github.com/roban/CosmoloPy,swh:1:snp:75e2a4d7ef80e132c5a3145456a2168eff6c96d8
34599,https://github.com/sunpy/sunpy,swh:1:snp:6f20336fea80a83dc03ff5cd086d4d79d8004111
34601,https://github.com/spacetelescope/specviz,swh:1:snp:3eec4275773af0be3c2f870707e7c005ca9f16c3
34602,https://github.com/chianti-atomic/ChiantiPy,swh:1:snp:43a7b60a0290f59bc76c0d49c321af5ed56d7e5d
34605,https://github.com/dmitrip/PML,swh:1:snp:695c5e3511f214f33215affccde7506e29325460
34606,https://github.com/Netflix/vmaf,swh:1:snp:42d12db2c83b80513942e9dea6fa29c834dc71f0
34607,https://github.com/DeepLearnXMU/ABD-NMT,swh:1:snp:dc39b7f7a92d543111162958214cda800ba46766
34608,https://github.com/lanl/qmasm,swh:1:snp:bb939e7bfd839cf73300bb73c65a56c45272a2ad
34609,https://github.com/libpfasst/LibPFASST,swh:1:snp:df2c01de6f0febdc974d511403ef3c71f48e1985
34610,https://github.com/Parallel-in-Time/dune-PFASST,swh:1:snp:4daee82b43db9cd7bbcb83b1dc79155a19637214
34611,https://github.com/cageo/Krzikalla-2012,swh:1:snp:d83bc3d769b6f7fd02cb2fda9d2b557a1b04d773
34613,https://github.com/dasarpmar/lowerbounds-survey,swh:1:snp:56fd00d32efc3542bc1dd689bd0d6836aa6022b1
34614,https://github.com/JuliaWaveScattering/MultipleScattering.jl,swh:1:snp:2db66b71cb1ca0fe4ac419d345a0ab8b11914a05
34616,https://github.com/jorgeignaciogc/SupStable.jl,swh:1:snp:3266124f8f4d61d68deae4d80e41d86413143e71
34617,https://github.com/LaGauffre/FraudRiskBlockchainTransaction,swh:1:snp:4de13a72ed313cec664030383585c9d9c12bca2e
34618,https://github.com/rhysbowden/LIS,swh:1:snp:0cee90939d72caa1d16befd1ea502a26616aeca8
34619,https://github.com/niallmm/Hybrid-SINDy,swh:1:snp:18994388f4e9d6d00acd5f442727b71b2a19d0cd
34621,https://github.com/SciML/OrdinaryDiffEq.jl,swh:1:snp:cac92a588a8a9c0ce2d3a026648bb2357c0c97db
34622,https://github.com/dakuang/hiernmf2,swh:1:snp:3583c556320639329c0f88582b6144495a460cd0
34623,https://github.com/baharev/ManiSolve,swh:1:snp:cd4068ba9d4629eb5de9e36490841d5f3de9b122
34624,https://github.com/KyushuUniversityMathematics/LinearWang,swh:1:snp:6114500b65059b5cd4634f3cc30adb8a27030c5f
34625,https://github.com/mtappler/prob-black-reach,swh:1:snp:cd0adbdca49a349513c05d4814c7ef19c3a8e924
34626,https://github.com/thetensor-space/TensorSpace,swh:1:snp:529afa6bc5c52d668007519094611f34d4d30bf1
34627,https://github.com/diehlj/signature-invariants-py,swh:1:snp:fca598cf56e3066b939134841e1143e8681a96db
34628,https://github.com/aperep/vinberg-algorithm,swh:1:snp:f3075aff3e653baccdb7442e0b6af313776442f4
34629,https://github.com/nvbogachev/VinAlg-Z-sqrt-2-,swh:1:snp:507623b3c078bd91268e276dac0c106cc3c5b8d8
34631,https://github.com/lruthotto/KrylovMethods.jl,swh:1:snp:f6f745f161454ea81339fc9970304be5c81de04d
34632,https://github.com/PieterjanRobbe/MultilevelEstimators.jl,swh:1:snp:58a2bb5cc01f230c0f585ade5a12381a2671fe48
34634,https://github.com/esadr/mlsvm,swh:1:snp:1867cbea872f25eda7870d5caf67248af75b17b7
34635,https://github.com/olivierverdier/femshape,swh:1:snp:3bbcce1851288cbf950b5a0c0edb693925dccbe6
34636,https://github.com/mtappler/mut-learn,swh:1:snp:326bd4eb0c8b7f5b297853faeadc47f8ea6d4092
34638,https://github.com/udacity/self-driving-car-sim,swh:1:snp:7e2a6413a6a94e5d0fbdda9fc2a13b55b3156034
34639,https://github.com/EpiStruct/Black-2018,swh:1:snp:9451cb768d2e487c14ad1140c140e91fe4e0c5a2
34641,https://github.com/dwavesystems/qbsolv,swh:1:snp:cfe7f6e93b5722498061a7a49af912f49a07a312
34647,https://github.com/Qiskit/openqasm,swh:1:snp:1b4b549287fa9f525c5d0e81d362f97eaa5cbe3e
38957,https://github.com/ibackus/sod-shocktube,swh:1:snp:069993ae765defecf95420d4b142ca8c06866f13
33822,https://github.com/cran/OBsMD,swh:1:snp:cd1e86cd91aaad7fedd1f081a149faefdcbde5bc
33825,https://github.com/cran/eqtl,swh:1:snp:db4ffd34d679b48bf6b9d9e49bbd0e21a6db5437
33827,https://github.com/cran/tdthap,swh:1:snp:959f7dadc3ffd15898b9611f3ec1a5703173e41b
33828,https://github.com/cran/pbatR,swh:1:snp:1b2357f49f571f2bb6c1820d88f46f8ac18cd027
33835,https://github.com/edwardoughton/itmlogic,swh:1:snp:cf8b4a0ff5870970cb1582ee4837994258b65383
33836,https://github.com/edwardoughton/pysim5g,swh:1:snp:36ded45107bc378ebf7bc2a8a648c2295dbcaf55
33838,https://github.com/kirui93/ScenTrees.jl,swh:1:snp:9ac81af86d6801d09ecbb62640bbbce178d05767
33840,https://github.com/jonsafari/tok-tok,swh:1:snp:f973eb7a3dfa64e19e9f35881cbfe2775a04b335
33842,https://github.com/joshday/OnlineStats.jl,swh:1:snp:3bdfa68df973992161b31128b1d48262199ec429
33843,https://github.com/tkchafin/FGTpartitioner,swh:1:snp:b4bac6dc0f56d974ae1a909ce7ca94f008c94a1b
33844,https://github.com/gemtools/gemtools,swh:1:snp:9666eb72ee381f3cd0567d104249e47b65ccb2fa
33851,https://github.com/bvilhjal/ldpred,swh:1:snp:6e07991cbd9ba2d4ec5cab18744a0984df52b894
33865,https://github.com/palryalen/ahw,swh:1:snp:86a92b543cc7e221f249f6e936e1e69339356425
33867,https://github.com/cran/psymonitor,swh:1:snp:278f6d1e53a4c1b7a5f9441e6e39440dd6903968
33871,https://github.com/awslabs/datawig,swh:1:snp:0187aa33e4bdad1788493fe482d97e20e07ecf89
33873,https://github.com/cran/fastAdaboost,swh:1:snp:07ae9e4f4471e7a819ba9bd5ab70c912412d6d02
33882,https://github.com/cran/patchwork,swh:1:snp:8a8c5d55ef2b3ed34f2de7edebbe085dae016e99
33883,https://github.com/cran/rdhs,swh:1:snp:9937ae73dc86c7b459c3fbb83aaf5851efb92d5b
33884,https://github.com/cran/SUMMER,swh:1:snp:7b2b3620abad672ee5e8c900c8b654f53f979d76
33885,https://github.com/astronomyk/AnisoCADO,swh:1:snp:be14169ddb1ffaafa527aa1d5e1ccf5359fb5fca
33887,https://github.com/danieldeutsch/sacrerouge,swh:1:snp:e92831e655cc9119cc867b4f1d55ca48e1a559ea
33888,https://github.com/mjpost/sacreBLEU,swh:1:snp:da28b3a2729a756f12f2251ce7c17f9c0591649f
33889,https://github.com/huggingface/nlp,swh:1:snp:791841a43f346a0556417ef292cde324ed5ba219
33890,https://github.com/ggianna/SummaryEvaluation,swh:1:snp:5974ece6c3215e09ccc468d342e0b54ad4aaad85
33891,https://github.com/Tiiiger/bert_score,swh:1:snp:d897d0311075429a2a1e10d843b312b2cb2dca62
33892,https://github.com/igorbrigadir/simetrix,swh:1:snp:5b1ad3973f18a96f9322d721617c945e2dd08b86
33893,https://github.com/nlpaueb/SumQE,swh:1:snp:875f6f0b8ed03d791147a969411c6bf9cb2f84b1
33899,https://github.com/power-grid-lib/pglib-uc,swh:1:snp:bcd5e97c6f06ac8bb8faf57cff1c8454c94b45c2
33900,https://github.com/JuliaOpt/Pajarito.jl,swh:1:snp:9b3b45282b642f52c813fd960d4c4cd7c8e9a059
33903,https://github.com/tereom/quickcountmx,swh:1:snp:4bab2965e9228e0b71356094d2d9ffbdfb678ddf
33907,https://github.com/dmlc/dgl,swh:1:snp:e844b91c52e8613171e27db5ab19d36008cc60c1
33908,https://github.com/williamleif/GraphSAGE,swh:1:snp:833fba6f2fa8e6c114223058a6ef93e52eb07d5b
33909,https://github.com/cran/overlap,swh:1:snp:5fb6eb8917a0d724db57ab3856f63aaf192e9757
33910,https://github.com/dftfeDevelopers/dftfe,swh:1:snp:7535792927b1f248f2f996967c0b8cbc8af20a89
33912,https://github.com/cran/IOHanalyzer,swh:1:snp:3920bb70c963dc95eb757b56f9f5e08b1d047428
33920,https://github.com/cran/JuliaConnectoR,swh:1:snp:02a7fd7c6ffecf24f940aa5f69732ecf67b84041
33922,https://github.com/cran/factor.switching,swh:1:snp:86a99ca6c7d88479b49dee35fde9af039cf69cd8
33926,https://github.com/cran/mixsqp,swh:1:snp:110c0672774bffa892fc0732a402cabcdf3dd365
33927,https://github.com/cran/glmmboot,swh:1:snp:15cfb3d410da4bf20b7f396a52446ab03322cf22
33928,https://github.com/QMCSoftware/QMCSoftware,swh:1:snp:a5e099d5134289922136cc7d2e6459af5def526b
33932,https://github.com/JuliaMatrices/LowRankApprox.jl,swh:1:snp:359d7ea2514cf0c2b1e0b4a2868ca0bb68d5cbfc
33935,https://github.com/cran/rmatio,swh:1:snp:4681ae7e98e3c60f8a4bdb32dae62fe27a608f8b
33936,https://github.com/cran/rosqp,swh:1:snp:05a10b66db0b9bca0e6aa900d1b78cab9a2dda4b
33939,https://github.com/JuliaInterop/RCall.jl,swh:1:snp:a6b544c43c96bad22c045e51bf0fb703764ece98
33940,https://github.com/JuliaComputing/JuliaDB.jl,swh:1:snp:9b80cad4c1c27639ea1c9420561f2a7c9bf46ede
33949,https://github.com/wala/graph4code,swh:1:snp:1cd1f383088b168a41f682fe604078d7e3822938
33950,https://github.com/tech-srl/code2seq,swh:1:snp:0fa634519a6dba95fcb6edb18763544ec410d883
33953,https://github.com/bfaleichik/mrms,swh:1:snp:985632581506c7a54372b3002c049c121b01ee4d
33954,https://github.com/NUAA-AL/ALiPy,swh:1:snp:187d4f3aa5a3e04324f5f98da8dc197a386d1079
33957,https://github.com/JDAI-CV/fast-reid,swh:1:snp:643d0d45c66478ea46149801e74d26f6cf2f7d31
33959,https://github.com/NVlabs/PAMTRI,swh:1:snp:7c187991cc0f928d95735c722eeaedc909c320c6
33961,https://github.com/JDAI-CV/VeRidataset,swh:1:snp:3116a1949cd7c29466d09ec4638154a28185c7a5
33962,https://github.com/PKU-IMRE/VERI-Wild,swh:1:snp:2c6babe050876ebd1d7b44d719d826babb2e45ca
33964,https://github.com/open-mmlab/mmfashion,swh:1:snp:c646559e9719f3cb3b727f1541af5b9d9e9f7f11
33966,https://github.com/google-research/xtreme,swh:1:snp:6c95ad90c6e2b947db02ab4350c8988f3e788ef7
33972,https://github.com/tamuri/pal,swh:1:snp:1a515552229af497a9632ba73b1bae543b14a305
33978,https://github.com/eacooper/RAMBiNo,swh:1:snp:92519bc06d7bd8d898bfd032248f79d072ce9cd3
33983,https://github.com/cran/ggdag,swh:1:snp:b67607e6cd28c5015631f1dedb1c3c6782b2b7cf
33989,https://github.com/davidliwei/RNASeqReadSimulator,swh:1:snp:8080614bb8e59369cc72cb0acee10054c85c97b1
33995,https://github.com/marijnheule/CnC,swh:1:snp:34219b73d3422539f769e3186308a2d09aefd877
34000,https://github.com/pjgaudre/DESincEig.jl,swh:1:snp:b2f9a8447e379f58509a91caf68820902f4b035d
34090,https://github.com/FedML-AI/FedML,swh:1:snp:f1a502f0202457d7414925fe98cade8bbda5d7e7
34091,https://github.com/OpenMined/PySyft,swh:1:snp:4c45fd2cfb8f0754b6e81cdbaf2f315e7df3af2a
34092,https://github.com/tensorflow/federated,swh:1:snp:8afab1c16f2d22723019dec5fd3047cfb5d1a129
34093,https://github.com/liam2/liam2,swh:1:snp:421f6bcc85df48d21fb735ca3e04d0e081486122
34094,https://github.com/cea-sec/miasm,swh:1:snp:d722a4eaa50462918bfc17304e1924ef2bae8dbb
34097,https://github.com/PaddlePaddle/PaddleFL,swh:1:snp:66c26f774eeadc25c12e74056ac389e0c1f61b84
34099,https://github.com/dhroth/sketchedsgd,swh:1:snp:83776d60561a01d55a1530c11073f1a60ee50a48
34104,https://gitlab.com/akantu/akantu,swh:1:snp:4feb6b1dbceca33af41b6508579d52aad5d980af
34106,https://github.com/acroucher/PyTOUGH,swh:1:snp:3ca7892959b7f56e99e8cc41c09a79418e50f3e5
34109,https://github.com/stebond/TOUGH2Viewer,swh:1:snp:c7a3598d02a133b2fca3db04b558a07829f6fbee
34117,https://github.com/zdelrosario/py_grama,swh:1:snp:85651bbb7bc9fee16f81a340d3474aab9acff074
34118,https://github.com/kieferk/dfply,swh:1:snp:ae86cc66a21fac4c85591f5536b6fce6497f1150
34119,https://github.com/cran/BGGM,swh:1:snp:99d4faf20ff4c25fa72def47beb27d8fd707db03
34120,https://github.com/cran/BFpack,swh:1:snp:c0bf5755e714b8fd5c1a78d2465a872256d0dc7d
34121,https://github.com/rgerum/pylustrator,swh:1:snp:52029c5df2e7e8abbdef5d3c09c8628ba7d3b074
34126,https://github.com/mekhub/DeepT3,swh:1:snp:61a7f3a4f74c3ee03a5ff48ed1d23492fed39b1c
34128,https://github.com/ilbsm/pylasso,swh:1:snp:80f0985c5b9889de9c0d9759b7050d8c0e92dfca
34132,https://github.com/statbiophys/OLGA,swh:1:snp:326d3110f1dec0cd51a2e031d1d7950a24155d35
34134,https://github.com/sidhomj/DeepTCR,swh:1:snp:5dd4318d2a2eaa5e5572898a7e420708e168765a
34135,https://github.com/schneebergerlab/findGSE,swh:1:snp:8aaba04b0a600ffed46c5609b7fd4181b55f17d4
34136,https://github.com/elkebir-group/SPhyR,swh:1:snp:3637f7e9519977da457021ac5aaaee685c9ebc51
34137,https://github.com/AllonKleinLab/SPRING_dev,swh:1:snp:ae27d3ab3ad6bf543d75abeaa50f26917cf6a70a
34138,https://github.com/luozhhub/Accurity,swh:1:snp:937c30ade6ca43c2da0abdc480745d1c66479401
34139,https://github.com/zhangjunpeng411/LncmiRSRN,swh:1:snp:368f525a7e6630b9e7f7bebd555bf49ee026aec1
34145,https://github.com/villandre/DMphyClus,swh:1:snp:b61edad93bcdfe9c06bb9e38565523e7ce044ee2
34164,https://github.com/daormar/thot,swh:1:snp:273539a6f8a9eb0829fd63c9d8ccf1a3d831697d
34171,https://github.com/tzvisor/ltzvisor,swh:1:snp:42d661ec46e8b38983021bb4d04dd922e2a20505
34172,https://github.com/Bobcat/bobcat,swh:1:snp:09d916f5186e925a724b8e201e871db4b2eb09d2
34185,https://github.com/inesc-id/vtTLS,swh:1:snp:2133be1cb5344556980d219a68a87ea2c2734b4a
34191,https://github.com/bvieth/powsimR,swh:1:snp:4dab889467c698d65b66a65608183f6e49b2203d
34193,https://github.com/tastanlab/Kinship-Privacy,swh:1:snp:ebcf2f92211a00492424157153599e3d30c05c8d
34197,https://github.com/dgleich/prpack,swh:1:snp:988defc80ffceb612245f00d7ad8b700e768bc2a
34198,https://github.com/GraphChi/graphchi-cpp,swh:1:snp:fbc472250f668a2dfb0f15e13f28e7adf74bec78
34200,https://github.com/yunzhang813/FUNNEL-GSEA-R-Package,swh:1:snp:8af6383939d938a00d8ed347a33cab7d468153b3
34202,https://github.com/lanl/TRuML,swh:1:snp:7bb755b1673a4850aaadcc2ebbf082c48a191f35
34204,https://github.com/cran/precrec,swh:1:snp:48ea8a6d6519f1b1cb458bbc692eef758fbe018a
34212,https://github.com/yunfantang/PhyloScan,swh:1:snp:8d60ec85467e0ee220527948c90e3cec9c083b38
34215,https://github.com/TF-Chan-Lab/OMBlast,swh:1:snp:8a5acc0bde4cc4f06ec711876d7cde72ac7ea6e7
34217,https://github.com/LeeMendelowitz/maligner,swh:1:snp:21930724aa50ccdc15490c904ad0b692c9a33bfb
33305,https://github.com/jbotsim/JBotSim,swh:1:snp:f3417b01655598bcdeb6531618f33a0027681068
33307,https://github.com/bicv/SLIP,swh:1:snp:dd340a1f5a1e4abbf6d3be958cd49ed4c0aaa5c5
33312,https://github.com/nbronson/ccstm,swh:1:snp:cd619849d7ca73704860457e50fae58489b30fdf
33314,https://github.com/the-animal/wusstrace,swh:1:snp:e99b15b3d2102d645cec7adc78201c1770f91e9c
33316,https://github.com/cran/fbst,swh:1:snp:654431c2c18644c7ae71bd0c9b7a40809040ba94
33318,https://github.com/raamana/kernelmethods,swh:1:snp:2b53f6761ecc918aeb12c68d0897790484991e79
33349,https://github.com/TimeDoctor/openal-website,swh:1:snp:8bd5f1855eff9ed03278dba9b02895f2e84b5322
33350,https://github.com/canhnt/gaaa-tk,swh:1:snp:0f8378394155b294e96570dc3410cc1ff406cad0
33356,https://github.com/mattools/matGeom,swh:1:snp:4c1d3234b83145328b84d0e49563f5026d3a6848
33358,https://github.com/shhschilling/MasterTwo,swh:1:snp:9db8abbe008aff534ee9cd769537fcd1ee6ff0d5
33363,https://github.com/cran/meanr,swh:1:snp:59579ca5c12df29786bb1add11d3f2900125c1c2
33367,https://github.com/JuliaRheology/RHEOS.jl,swh:1:snp:2708483850dd2b310f9c729383a7874d27e5f123
33368,https://github.com/jcbs/ForceMetric,swh:1:snp:921aec82721c4c326bd66a7a20f5375cb22995eb
33373,https://github.com/stellargraph/stellargraph,swh:1:snp:81390445debaf32ca87e8a1eb9efac6d21251853
33387,https://github.com/UCL/snappysonic,swh:1:snp:b61df8f8afbf8d4baf539141d14559646aec022d
33388,https://github.com/tox-dev/tox,swh:1:snp:381e2d0d936f8d49f6ef055be6e4d9fc3c9a3ef0
33389,https://github.com/rwhiteheadanderson/pystprism,swh:1:snp:a8133889a9c427688e721452c6feaccdff821317
33390,https://github.com/SoftengPoliTo/powtran,swh:1:snp:f46b3f1686fd976a87fcc3fe883701b063fed9e7
33392,https://github.com/uart/powersleuth,swh:1:snp:90cfcedbeea2eb83ead4d2e4fbc841a2266041e8
33394,https://github.com/ppgaluzio/MOBOpt,swh:1:snp:f3179df59ff0484ceec0d67f75193d75a884a865
33395,https://github.com/itsoulos/GenConstraint,swh:1:snp:c023b837c0a15257f2259cb1296be9d5afd689f9
33397,https://github.com/fmfn/BayesianOptimization,swh:1:snp:6939a5a78b2de093d250087a142d2976ed2e2ff0
33407,https://github.com/timmartin/libfooid,swh:1:snp:108d39b80d4693942604648257c6ed8258ef30cf
33412,https://github.com/ElsevierSoftwareX/SOFTX_2018_109,swh:1:snp:5987fcc7665453cb8bbfeed8cf2a1c4ac5313b77
33415,https://github.com/elastic/elasticsearch,swh:1:snp:d454aa39a805c0d73d9ffcb3e4bbf312179e302f
33419,https://github.com/pbelmans/hodge-diamond-cutter,swh:1:snp:e09b8f0e6410e0e30a810d4a032d3aa3e25ebf2d
33426,https://github.com/OPM/opm-simulators,swh:1:snp:3d6649457d310ed2c3faa341c0cac3ec87d3c8ed
33427,https://github.com/cbouilla/spasm,swh:1:snp:0f2441c54974dceec05a311d76bd1caca39126cc
33428,https://github.com/arsenal9971/tfshearlab,swh:1:snp:62d75fca56281eaf72e94a753f8b63f95fcd484a
33430,https://github.com/timueh/PolyChaos.jl,swh:1:snp:43288a10a40e02dd92deb632fc937847ca961f80
33432,https://github.com/hyperspy/hyperspy,swh:1:snp:9bf77f1fb46dbef8a43228d899a1a07da3a96027
33433,https://github.com/pyxem/pyxem,swh:1:snp:0813d74ab7e10d11def76383d3c7a30690badb41
33434,https://github.com/LiberTEM/LiberTEM,swh:1:snp:3fff3826bd68a5d8f943d1937ed418dc4dde377f
33435,https://github.com/FDYdarmstadt/BoSSS,swh:1:snp:33df5fdb624381a1fe93ef20462ea99c90f89f25
33436,https://github.com/jcartus/SCFInitialGuess,swh:1:snp:35a56377db69980abb831b08d60cf1cee4b67e8b
33438,https://gitlab.com/januseriksen/pymbe,swh:1:snp:caa371266da96849a593611871aeee180397c31c
33439,https://github.com/devinamatthews/tblis,swh:1:snp:317bd9d3d0537c23f535d12acb61604de372811d
33440,https://github.com/Goodpaster/QSoME,swh:1:snp:fc96d87fecab3c13771121b3986f3fc909e8c8b5
33441,https://github.com/cuanto/libdftd3,swh:1:snp:05719c3781dd69178c4e3f58d93e1fb6d2fd878a
33442,https://github.com/jhrmnn/pyberny,swh:1:snp:137f935e3f2c526660dc989b052402b7233ae34d
33443,https://github.com/maxscheurer/cppe,swh:1:snp:558b540e1c8d4e2455ce10456dad253240ca91eb
33444,https://github.com/1QB-Information-Technologies/openqemist,swh:1:snp:75b1ebd112dbe6f8df6f405f5ac5e10327600c8b
33445,https://github.com/pyflosic/pyflosic,swh:1:snp:30bb4c360b83c3ddbce0e03dcb26f0944818a2cc
33448,https://github.com/adc-connect/adcc,swh:1:snp:f66c3220554a55fb93312f3915e14923017ec316
33465,https://github.com/rauljosepalma/DiReliefF,swh:1:snp:9525bae93a5b7212196ca90c51ca663ebc2fa325
33466,https://github.com/facebookresearch/dagger,swh:1:snp:4bf2a67b865de8c794a008652613ff3b0e68490d
33468,https://github.com/open-phri/open-phri,swh:1:snp:4714f795ef441529cefbc200895cc970bb398ee1
33469,https://github.com/jisungyoon/persona2vec,swh:1:snp:2bb3220d098aa3a9bd7e183ec89c2721f6779916
33476,https://github.com/jamiebullock/LibXtract,swh:1:snp:15156626131dbb6dc2709fd6bd6195f04c7feb59
33485,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00059,swh:1:snp:3fe9dcf4ef09e0844fceceef7ac4d5f36ad1eef9
33487,https://github.com/ElsevierSoftwareX/SOFTX_2020_36,swh:1:snp:645905be2f2de51729366759e1050109fb572c66
33488,https://github.com/IBM/torc_py,swh:1:snp:ac649018f2c8a66a4a1c34fb9c7685eff410d5ee
33491,https://github.com/curlyae1995/GSimPy,swh:1:snp:e3f09bd2752183bd68639df19f22b7dce98a97d7
33493,https://github.com/JingZhou2015/MeSHSim,swh:1:snp:2c298fcfcccd40353736b3f8e56f681c3204fe50
33497,https://github.com/dannyramasawmy/ElasticMatrix,swh:1:snp:219401cf9c1cd7d3dfd954baeb421e3f75b9726b
33498,https://github.com/ClaudiuGeorgiu/Obfuscapk,swh:1:snp:4a46aa92f0368096e6d5d48aa0d0bcdc0765ebbd
33500,https://github.com/rahulkashyap7557/PULSEDYN-Linux,swh:1:snp:b9456a84021ae134571c5c65651cd98438b3da13
33502,https://github.com/cran/baseline,swh:1:snp:8b37572a86d7729bd86751e470d4aa9bc3e87a95
33504,https://github.com/cran/NORMT3,swh:1:snp:d2c6abdb0eea8ab878e4e8a465f885b271814ddd
33505,https://github.com/iBotPeaches/Apktool,swh:1:snp:fb52388351fb37aae0630a29047fd6348105470f
33506,https://github.com/vaibhavpandeyvpz/apkstudio,swh:1:snp:521c8782d79b8c6db726874574d045512702e481
33507,https://github.com/pxb1988/dex2jar,swh:1:snp:8d465a9360952267d144a4990b83c6285bb1fea9
33525,https://github.com/FraudDroid-mobile-ad-fraud/ExperimentResults,swh:1:snp:daa8513040d76f5e293ed110c6364a5ba2af627e
33527,https://github.com/pkumza/LibRadar,swh:1:snp:2ef0e3965c3e19cb5fb926c35d1a6a81ea9eacbc
33539,https://github.com/MariadeAnton/bcl,swh:1:snp:e630857172e09c71218f3abd4372c415aaf80dbd
33542,https://github.com/ogay/libaffa,swh:1:snp:ed267182c82080ffcf770e993483694212909a96
33552,https://github.com/GEichfelder/ASMO,swh:1:snp:1703de75a17186d2d93149108a10cc9f0b36e4d9
34006,https://github.com/humanfactors/FIPS,swh:1:snp:d06e2ba720a65b9fd047e630cca3520f6c5683fc
34007,https://github.com/ABI-Software/abics,swh:1:snp:a4cc9c22943add2b387a7998839414cf3d3bc485
34009,https://github.com/CenterForTheBuiltEnvironment/comfort_tool,swh:1:snp:222086878c8dbcce22e5e3c465bed58790d09040
34011,https://github.com/ladybug-tools/ladybug-comfort,swh:1:snp:8f6c1310fad5469cfededb57385e2f49dcd11264
34012,https://github.com/chartjs/Chart.js,swh:1:snp:b3e210930ad5a105a4d64a3f76e0dd89284c4a5b
34013,https://github.com/cran/stringdist,swh:1:snp:35cd0808e149b65dae12b5f4771ceb5cf350bc70
34016,https://github.com/taschini/pyinterval,swh:1:snp:1b8458e95d5254b8dae67b4e92c5da40311a4ccb
34017,https://github.com/martinandersen/opfsdr,swh:1:snp:07da7b17020a40e0b3573eec9aa709b6fb8a6c5b
34018,https://github.com/power-grid-lib/pglib-opf,swh:1:snp:f07c0f079f04eb23f489921c24dbda103b96eaec
34019,https://github.com/tophcito/Revil,swh:1:snp:23c0b4497e3ce278a20c33415368daeca9e2fe94
34021,https://github.com/shizuo-kaji/Leibniz-Hopf-algebra,swh:1:snp:9d10985c18d07b43c078deac8c6444ea4b2ac01d
34022,https://github.com/fpeder/XKin,swh:1:snp:bdc5fac07b19ce5b3ee15404fad14027e65b6863
34028,https://github.com/fstaub/xSLHA.m,swh:1:snp:088d505bd6226e59f9021c269cac9014a865587e
34029,https://github.com/SpiderLabs/ModSecurity,swh:1:snp:301fe401f54c7e4355f9164b10f1917158ad7c59
34030,https://github.com/PALab/place,swh:1:snp:f9207297d70d1699042e03d429cb67324ff87a4b
34031,https://github.com/SmileiPIC/Smilei,swh:1:snp:08c07e11e1fec76219cfd35cf6309dc6cd87f605
34056,https://github.com/cran/GLMMadaptive,swh:1:snp:a6076f22e3daecc9fd0790b01f1f01a356f059a1
34058,https://github.com/gap-packages/smallgrp,swh:1:snp:8c1d8188e884daed80d695721e8d8f46eca48f50
34060,https://github.com/mathLab/ITHACA-FV,swh:1:snp:8eba9a3fb186ec24daf6e5f7074dfcd4a9794667
34062,https://github.com/wcxf/wcxf-bases,swh:1:snp:3385fa377d5d2ce420d35b76bb5f0299b9de1aa0
34063,https://github.com/cran/bootUR,swh:1:snp:4d644dde6fc77eccfe29179ea9b5f4a2f3147c7c
34065,https://github.com/olmallet81/URT,swh:1:snp:3d68aeda1f85292e7ab8682983815d9a13c0914f
34066,https://github.com/JuliaData/CategoricalArrays.jl,swh:1:snp:eedd5411e245747597c5e33ffd376fd898f983a3
34067,https://github.com/JuliaData/Tables.jl,swh:1:snp:c057d1125d4ae9b364f4d6360763b08451d43ce5
34070,https://github.com/roofit-dev/RooStatsWorkbook,swh:1:snp:dc59db1aaac82fde46498789319b4f6b44a92942
34071,https://gitlab.com/mpapucci/Hammer,swh:1:snp:00bebbee8f44bb3d4b56c53e5b0994fbbd331561
34077,https://github.com/fjdu/chempl,swh:1:snp:e69cd29781689f57a53269810e5764b44275ffc3
34082,https://github.com/uclchem/UCLCHEM,swh:1:snp:fe37d2555e532f7b7bfdcbb3c193cb87f8f34632
34085,https://github.com/SmartDataAnalytics/BioKEEN,swh:1:snp:c986795ca1e1f79b08730caaee43d742fe2cb691
34086,https://github.com/facebookresearch/PyTorch-BigGraph,swh:1:snp:d30a1ba4ebc1b187c395c74487d2b91c410886ea
34087,https://github.com/DeepGraphLearning/graphvite,swh:1:snp:442b3f439ed957ccdf020487031821128e18e6c4
34088,https://github.com/awslabs/dgl-ke,swh:1:snp:548c5c1323ed787d262a9514f2d95e7e8402545d
34089,https://github.com/nickrsan/dypy,swh:1:snp:1d7a6a2ea3affa7a0f13c1a0c2586dca70a6e629
26234,https://github.com/laszukdawid/KurSL,swh:1:snp:caf528b44a1c7873288d7222687b49f4abb94a38
26238,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00056,swh:1:snp:799a0645817220f3415b7e4563c6874732d6d978
26248,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00077,swh:1:snp:78f484d30f30628fee1ac4957d2eda69853503ee
26258,https://github.com/cran/erboost,swh:1:snp:e5161991395e4923bb8e970a61dbc927fd9c04c6
26272,https://github.com/cran/RobustGaSP,swh:1:snp:9dd8b6d643fce0ce323713801e88e424917db02c
26274,https://github.com/cran/metagen,swh:1:snp:817781585046e030ff65753de23dd06e0b1dd359
26281,https://github.com/SALib/SALib,swh:1:snp:8b2d1e2ae50f514183a5d6bd5e5d302c663ebb7d
26290,https://github.com/zhoulaifu/xsat,swh:1:snp:95d153b88134703e7f3aa244ba6dae2c5cc0c530
26292,https://gitlab.wikimedia.org/repos/mediawiki/services/mathoid.git,swh:1:snp:a15388a07a03e293e158d40d0456e34c40b7e265
26332,https://github.com/cran/BayesMallows,swh:1:snp:94d1b10b39598d2a8fc5c106d5472c2dfe8ca81f
26352,https://github.com/athanclark/DoCon,swh:1:snp:d494309622eb8e1a23f67f81744b8c243b1b8105
26392,https://github.com/neurospin/pylearn-simulate,swh:1:snp:a4eb4ba98fc6bbf53f4ea74ee064fa629bc8e7e8
26393,https://github.com/neurospin/pylearn-parsimony,swh:1:snp:8c5cc8ae39648a21b181eaa6b4da73e9c5e36182
26394,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00007,swh:1:snp:97eee1b08bb4c4b2ef457e4e94a1ce01078bea6f
26396,https://github.com/cran/dotCall64,swh:1:snp:9d604f238a29b42db82988e3327f060b17c86605
26397,https://github.com/cran/bookdown,swh:1:snp:b4a5047967c90ff47afda0ddb8481970bbc3d0e1
26405,https://github.com/matloff/debugR,swh:1:snp:948d23504264220ebc896453884dfb67487d6df4
26412,https://github.com/cran/ICBayes,swh:1:snp:dda1f6fbea1f40f8a83018497b0fde2088eabd27
26413,https://github.com/jaanos/sage-drg,swh:1:snp:fc90542c52beb9361361100bf550ce8255890e4a
26416,https://github.com/cran/hyper2,swh:1:snp:c7313db775d7e234371091f53c30c3325033bbf7
26419,https://github.com/weihuayi/fealpy,swh:1:snp:8f6c53ed13259b6fa9543b0b1bc3a837757fa65f
26436,https://github.com/cran/eco,swh:1:snp:93af9486c220b11a8d2146643824ebc5cb0323ad
26447,https://github.com/Gyrotank/CpnUnitTransformer,swh:1:snp:8b1bc1811a4151b2ffb7ccd12bf68a5a63d30ff9
26456,https://github.com/e-koch/FilFinder,swh:1:snp:96cd2414c0f1ff54a8fe6439fba16ddd0114a384
26457,https://github.com/astromatic/sextractor,swh:1:snp:72495d4a23defb06285693dfc253a89f3be61864
26463,https://github.com/tadKeys/sparqlgraph,swh:1:snp:c04464a51369306a8910adcccb6733b54060d6f8
26469,https://github.com/manishsreenivasa/ModelFactory,swh:1:snp:c27b1de4bbf0bd1b4d11a8d9834515f0c6f44ab4
26474,https://github.com/arthurxlw/cytonMt,swh:1:snp:94d7ca130741934b0f0db5fd8a4e39d972df2400
26481,https://github.com/wmayner/pyphi,swh:1:snp:ccbdf416aeaa70c359083674b656bc6c4d0916cd
26488,https://github.com/jiesutd/NCRFpp,swh:1:snp:a3a5aaceafe690bfccc67d51578b75045c35caad
26490,https://github.com/FannyGrosselin/CARE-rCortex,swh:1:snp:e35677f453b01b15820e29e1aa43b126b964007b
26495,https://github.com/d2rq/d2rq,swh:1:snp:8e43030ed50c17306edfe2423df32ee0d8eea4e9
26498,https://github.com/thierry-sousbie/DisPerSE,swh:1:snp:85c686aa4e24731c75df1132cfc27f1f09e54220
26502,https://github.com/willvousden/ptemcee,swh:1:snp:7b0133184295b42979e80f05da39bfac70f72b4e
26504,https://github.com/facebook/MazeBase,swh:1:snp:367f8cc29342b5a0a7ec944c808d73df54db58a7
26505,https://github.com/OpenNMT/OpenNMT-py,swh:1:snp:5a365c533bf7205cb82a6a85ee97d7921e7fbaab
26506,https://github.com/google/seq2seq,swh:1:snp:6d1f4e1059f4dff07620db3fad510ac7a9e3a1ed
26507,https://github.com/tensorflow/tensor2tensor,swh:1:snp:44a42b4b5ff7f125320ccf93652e3e6fd60eb3b2
26509,https://github.com/sandywang/GRETNA,swh:1:snp:5ff2a3d6c55c72218936782c93c7208b179c8d50
26512,https://github.com/mingruixia/BrainNet-Viewer,swh:1:snp:5389a05b7de35c7def5144e0ea6edc5988e5c8d2
26521,https://github.com/kovzol/RegularNGons,swh:1:snp:2bb15cfc60acad114ffe63695c9c0acff00b71de
26526,https://github.com/allenai/allennlp,swh:1:snp:1f4bcddcb6f5ce60c7ef03a9a3cd6a38bdb987cf
26529,https://github.com/marian-nmt/marian,swh:1:snp:6fcf56176da0738816527ce5abbe8adcf51ddbc8
26532,https://github.com/EdinburghNLP/nematus,swh:1:snp:7dab10d263dabc69877034c11882278ef110311b
26533,https://github.com/facebookresearch/ELF,swh:1:snp:7fdcc032970f485911b383144be5cd055a03045c
26534,https://github.com/LantaoYu/SeqGAN,swh:1:snp:81206066ab02c75b733412eadac269235315de2c
26535,https://github.com/jwieting/charagram,swh:1:snp:3f49be79c160b9e25a3ad8e575e883d78f96a1cc
26536,https://github.com/pytorch/fairseq,swh:1:snp:8d11b7b3a8dc413d4a506bbcf1c17cf62f5def98
26537,https://github.com/paarthneekhara/byteNet-tensorflow,swh:1:snp:284fe400b2acbe8890e4e29c44f4683a9c4086e8
26539,https://github.com/cran/bayescount,swh:1:snp:ad60e2c6213555e55cd8c96c32315aad016839ce
26550,https://github.com/cran/mixRasch,swh:1:snp:9ccc726f369fd34603b9c7332c28ad41766fc1ff
26551,https://github.com/cran/TBSSurvival,swh:1:snp:7a42613cb99e835d9d88633c3d519db54d58c656
26553,https://github.com/cran/lfe,swh:1:snp:95cc762e0411a35215f0f8eb0a4e37a3bb9e32e4
26555,https://github.com/oemof/oemof,swh:1:snp:96eac51d1f2a59529c1457926ba71bb57a91d8b1
26556,https://github.com/Libensemble/libensemble,swh:1:snp:710ddc8c727dceb20394832ef0460e7f563e7edd
26561,https://github.com/cran/RFA,swh:1:snp:39ef0e0710b4cd05d233ccee724383e4ba7c4ec7
26564,https://github.com/LowRankOpt/LRINorm,swh:1:snp:4e32831be2a13545aac05e2e1b6952f549a2e891
26565,https://github.com/LowRankOpt/LRIPy,swh:1:snp:6439660c4fbad21c933a5841616ecbec1f8ce65e
26568,https://github.com/arrenglover/openfabmap,swh:1:snp:39fcf1e5eb4d75ac24aed5124a7fbd586aea32b1
26570,https://github.com/aurone/trac_ik,swh:1:snp:3809e7474da258079355c2fbed88233cbdeea65c
26571,https://github.com/bwapi/bwapi,swh:1:snp:1748a17171bdeb66f8ebb45c172bfc3226cf7edd
26579,https://github.com/mcdavid109/Google-Neural-Machine-Translation-GNMT-,swh:1:snp:a7fe5e44298a0dfdb91399fadcb19b3561fb99c9
26580,https://github.com/rwth-i6/returnn,swh:1:snp:707b20314d298d79f9b3c9e5fe8cbeaf95945f56
26583,https://github.com/ufal/neuralmonkey,swh:1:snp:af1ef6f481c8dd036460b6970a99c377e9208f05
26585,https://github.com/HongtengXu/Hawkes-Process-Toolkit,swh:1:snp:76611787d8278d52c421cd6f21a0c8743769fbf1
26586,https://github.com/X-DataInitiative/tick,swh:1:snp:08f6a59a5fa7f7e8f967f3eb0509d7b8ce85fc56
26590,https://github.com/scikit-learn-contrib/lightning,swh:1:snp:1c4de7cfffbedfd0eb3e9090bfba5208c699eead
26592,https://github.com/GalSim-developers/GalSim,swh:1:snp:7650c259771f70d4ee9a350a6ce0939249e41813
26594,https://github.com/senarvi/theanolm,swh:1:snp:8fe85dcf07358a331807b9002a56b6089d5f0ff3
26598,https://github.com/lium-lst/nmtpy,swh:1:snp:6fa1aa61040a163725ea013ecca9d3579b0495d5
26611,https://github.com/apaffenholz/lattice_normalization,swh:1:snp:499350f0003b7ffb57dbd3d2c17773f7be65a115
26612,https://github.com/apaffenholz/polymake_smooth_fano,swh:1:snp:ab2211990ea0b8570d915b3e0c2e4730188326a4
26625,https://github.com/AEBilgrau/correlateR,swh:1:snp:5d59133e694fa2400f235be07bb0c601f47dd471
26626,https://github.com/cran/ctmcd,swh:1:snp:1f3ac1876c571e938cf7c7122f9f462dff77e3e6
26627,https://github.com/SMAPPNYU/smappR,swh:1:snp:8ddd0d2b551812ae4c134658255fea11e4a6ab24
26631,https://github.com/FALCONN-LIB/FALCONN,swh:1:snp:515d07a7e6533c40c94004a53a95c30ee88e35b9
26637,https://github.com/ITUnlp/UniParse,swh:1:snp:a9a77ec539f0751f2446875b290456875f40f0b5
26640,https://github.com/ispras/texterra-py,swh:1:snp:7835acc97196fa128a8f85044603dc9e85c47e7b
26644,https://github.com/venthur/wyrm,swh:1:snp:62f3e8a358388032d10c7c2fd4fe613cdfc1e3dc
26645,https://github.com/bbci/mushu,swh:1:snp:a72a67fc47053414e111ac16b52086ac7bddfa65
26646,https://github.com/bbci/pyff,swh:1:snp:5c817976c9218b319777cf70443dbf960c4738aa
26649,https://github.com/rowhanm/vis-dss,swh:1:snp:4a9f6e49943fbae5d7610e8f30f898fc57aba021
26654,https://github.com/scy-phy/minicps,swh:1:snp:3a99aa0d787c65dcf4f267dec138e07fbe3a6ef3
26655,https://github.com/pjkundert/cpppo,swh:1:snp:15f6b317e0ff339dd33eb7c767056085b15c0820
26656,https://github.com/noxrepo/pox,swh:1:snp:0925260bc723cda49dd0dab7e827f61548e1370c
26663,https://github.com/danvk/dygraphs,swh:1:snp:989149f66b94a217ce5fbf788135f1581253c6fa
26674,https://github.com/cran/lamW,swh:1:snp:86809be6722c22ec0d98dd873fdc8f57a3bd3485
26675,https://github.com/dpagendam/friedsIndex,swh:1:snp:b5b84a6ace7ec803f064bc9d7d0246960b5b0fab
26676,https://github.com/kste/cryptosmt,swh:1:snp:a07c84b14367ddf5f3069ea076dc7464c5325668
26677,https://github.com/theoremprover-museum/RDL,swh:1:snp:a3add609ee4748afc2f6bab1f5c8a16f3f5a65ca
26678,https://github.com/theoremprover-museum/Aquarius,swh:1:snp:6dd8b51f5e1f016cd20dd281eeabfeb8d22f88cb
26681,https://github.com/elfi-dev/elfi,swh:1:snp:7d419b23f2bf0c7b5c08b8f0a92f06b66788d167
26684,https://github.com/jmschrei/pomegranate,swh:1:snp:a20ce04f867a044ca1caaf136621f8a98865cfd7
26685,https://github.com/Xtra-Computing/thundersvm,swh:1:snp:7cf5cca0bf2cd66d50638065e3c23e4b8f802640
26692,https://github.com/osl/jcute,swh:1:snp:b7137c723570acf88fde78f95e4329079e7c2670
26695,https://github.com/yaarasegre/EPIQ,swh:1:snp:a29cfec0e8234a048fd9ec3da5d36d1f325a6b54
26700,https://github.com/cran/CondReg,swh:1:snp:239469a066cc748a897686bed923dcffef640a1a
26714,https://github.com/cran/RFmarkerDetector,swh:1:snp:2ff40012626d43a753110c797771cdcb4913111e
30760,https://github.com/pytorch/fairseq,swh:1:snp:8d11b7b3a8dc413d4a506bbcf1c17cf62f5def98
38717,https://github.com/pytorch/fairseq,swh:1:snp:8d11b7b3a8dc413d4a506bbcf1c17cf62f5def98
17418,https://github.com/UdeS-CoBIUS/FsePSA,swh:1:snp:d3ffbf86a2d8bcd5ebf588ffed51e7df3b905dfd
17461,https://github.com/ocaml/camlp4,swh:1:snp:2af5f70fcf624192235f6bf1dbe3a2b93d21e3d3
17464,https://github.com/cran/disp2D,swh:1:snp:7295625024c1dd59936b33ef0bbc355994adcb61
17497,https://github.com/ketch/RK-opt,swh:1:snp:8a0f1f9e6be70fe40490c097987487eb43e2f805
17524,https://github.com/cran/ecospat,swh:1:snp:bb46a52fba79b4ef520645910ef026d0bb891887
17526,https://github.com/cran/Zelig,swh:1:snp:655e06ccfce0437ca09e9b762ac555a2ff0d97d5
17530,https://github.com/cran/colorplaner,swh:1:snp:d0ed6c8c910c78801bd57a35ad67ee63b207b1f6
17535,https://github.com/cran/rpostgisLT,swh:1:snp:f93146546690be63b903b47cac3493c68dbec90a
17536,https://github.com/cran/rtext,swh:1:snp:74cc7bc6f43423babbce26d9011c1564f90f1987
17547,https://github.com/cran/BCellMA,swh:1:snp:ba650093925a44af8bcc3e3c400baac7e9db8bfe
17548,https://github.com/cran/DTRreg,swh:1:snp:fee3a15664cfc94c63d99d7ec17e517cbe9d1d22
17552,https://github.com/cran/listviewer,swh:1:snp:321b5a93b7ff746330c8808b20a0a527d9da182a
17554,https://github.com/cran/MiRAnorm,swh:1:snp:d989875f35fbf7affbc8eabd28a3ff2b51ba31a7
17579,https://github.com/qiqi/numpad,swh:1:snp:01b6d00523ff5dc0720eba8ffb61162f09c6306d
17618,https://github.com/giofantuzzi/CDCS,swh:1:snp:7bb2951368d5bd774f61ce05e5946743bc81e053
17624,https://github.com/JuliaOpt/AmplNLWriter.jl,swh:1:snp:e4730b2457eb5cc44b669c486e9f4e01b56f8754
17629,https://github.com/scarrazza/apfel,swh:1:snp:2c3d3acdf24aab3874c7c62245a90f9741e3b5db
17642,https://github.com/barbagroup/pygbe,swh:1:snp:6d806d61624e2c0028eafad17b5acdec89908faf
17703,https://github.com/cran/NetData,swh:1:snp:6f1245a036f12d94e4f6ffad05daf476397debe8
17704,https://github.com/cran/DCGL,swh:1:snp:7424c3833f18b205ead0949170b0220d82c894e0
17706,https://github.com/cran/timma,swh:1:snp:690e257063c1ff892d5553201da6102c38b48cf5
17715,https://github.com/cran/Compositional,swh:1:snp:1e21b774723bacba96f8153ac1aacb16ec682e15
17716,https://github.com/cran/gdimap,swh:1:snp:51b87a4dfa34b61361d2c729b6648c5a3cff170e
17717,https://github.com/cran/CUB,swh:1:snp:8d4b9ff46ffff9884cb1ebe208704a3281696cee
19219,https://github.com/hyperopt/hyperopt,swh:1:snp:94321d7ad765d217b4afd7238e71b62df9b761fa
19232,https://github.com/FTSRG/massif,swh:1:snp:59cd71f0dbd4a4d0ea204fba6372033bd41ed7ee
19233,https://github.com/viatra/incquery-examples-cps,swh:1:snp:fc403339da127133921a34cd301044fc5f8400c7
19267,https://github.com/cran/regpro,swh:1:snp:90890518889faae1fab2032752ee700f973a41e3
19273,https://github.com/cran/pnea,swh:1:snp:4be638f656e40db2bd3e33c2343e1cf7873ae757
19298,https://github.com/cran/biomartr,swh:1:snp:2dd396b8d2481a1fec5c64de3f4e847836977d63
19301,https://github.com/cran/ncar,swh:1:snp:ae562dfc10e46de9bafac84d7da76a1de68bf8e8
19304,https://github.com/cran/simboot,swh:1:snp:43d57493ed37b9fd555b4e2f643c8a4f9e253de9
19318,https://github.com/cran/markdown,swh:1:snp:271d0b351dfa87cd34a44884b1a69e1cffeb822b
19321,https://github.com/cran/maps,swh:1:snp:dff68f824901dea6c78267c5243e09d0f22f6200
19323,https://github.com/cran/ggnetwork,swh:1:snp:03ffc4e920a808ebb27b0a4b2fe7b32eaffad170
19324,https://github.com/cran/googlesheets,swh:1:snp:7a08da487c9b7a30961b76916f662b9b54b5a344
19325,https://github.com/cran/network,swh:1:snp:95f28ff329e1ed739926642900912220130bb007
19327,https://github.com/cran/ggvis,swh:1:snp:c9cc97ad4b33141b9565403d632a2e7e594e8c45
19334,https://github.com/cran/sparklyr,swh:1:snp:da8df4990150e0c5e1c61778dd6ce9e3e1be9765
19335,https://github.com/cran/aRxiv,swh:1:snp:12506895630adad1fc24c3922d23bf5a5b4a4eea
19336,https://github.com/cran/wesanderson,swh:1:snp:848261769697a9f539f9405a2bec3ba766ab611d
19338,https://github.com/cran/plotly,swh:1:snp:2a5faf8a78a9bcd21ea863d2e4521a0f732de992
19342,https://github.com/cran/htmlwidgets,swh:1:snp:9b6a0db390aa9fc0257935fdb659b867b2411a04
19344,https://github.com/cran/testthat,swh:1:snp:ba056f00d1285c133e8ea144db5d45700afbbdf0
19348,https://github.com/hadley/usdanutrients,swh:1:snp:4b23ac2701777f2ed39f73e58fbaac36e30f9910
19350,https://github.com/cran/bigrquery,swh:1:snp:bd49a900c36a5be44a182f1c570afa505555e434
19355,https://github.com/cran/rvest,swh:1:snp:ea38b5722713d4f02207ac8bd65d876d23ba1b91
19356,https://github.com/cran/scales,swh:1:snp:3ed3f149c3d504344065b49aa55835a6d7346af4
19357,https://github.com/cran/tidyr,swh:1:snp:e741cc816d3a3e19c346689f1308e489cd255616
19360,https://github.com/cran/readr,swh:1:snp:3cea29f85f2647a16550f58efb8d0e7855a19afe
19361,https://github.com/cran/DT,swh:1:snp:708aca3643a474b83baa39bb481bc05cc8ab791a
19364,https://github.com/beanumber/fec,swh:1:snp:9de81a61802562a5ab76f3830fbd25700f3bf96c
19365,https://github.com/beanumber/airlines,swh:1:snp:519a2818e1a0f44f49303d9618c1764b9565b381
19434,https://github.com/cran/textTinyR,swh:1:snp:fd64cc5540540a0d592f061cb534cbc18a6a7e8d
19435,https://github.com/cran/vortexR,swh:1:snp:fd59f2849a0ffb51a2a00208ff5f89b3d977e98c
19443,https://github.com/cran/lmvar,swh:1:snp:26f45be9ebeb93467ae389ec00f034bb8054c239
19446,https://github.com/cran/modeval,swh:1:snp:49a3f651f60ae33b52e0c5a6a884be3352bea974
19465,https://github.com/cran/cleanNLP,swh:1:snp:27ff403e9ca7ef2127f3071b28b8681667cef740
19481,https://github.com/cran/BaBooN,swh:1:snp:008aabe2f3bea35b9597e02a82badce41647aa65
19508,https://github.com/cran/bcs,swh:1:snp:1198145ab63e8f0edabca6a2e3c0b32a938b90b5
19510,https://github.com/cran/brglm2,swh:1:snp:f2fcb72951015857d3da009f57b07448b65fd21c
19512,https://github.com/cran/enveomics.R,swh:1:snp:93b8503146e1ce1ced0732180c7c7035608431e9
19514,https://github.com/cran/HYRISK,swh:1:snp:cfae5d3f3cdef3f442f3908bc9aa974fe75f8119
19517,https://github.com/cran/rsoi,swh:1:snp:1dea881a15b5826df385f04d5947af75aab5a654
19528,https://github.com/cran/mrbsizeR,swh:1:snp:b12a88574fdaccf95a217024735aac2c6dc2d56a
19533,https://github.com/cran/unitizer,swh:1:snp:10eec70178e9bf113dc575b83b301ea576de3f35
19535,https://github.com/cran/userfriendlyscience,swh:1:snp:52ba16d85842ea9fd9ac1ec1ed16c99f4b6cc8b3
19537,https://github.com/cran/xyz,swh:1:snp:1824baf655b18d952d53060af62a5844d538fc51
19544,https://github.com/ThomasNeele/GPUexplore,swh:1:snp:afe2fe3c0489064afd9a2ea7f577ac37f97fe722
19594,https://github.com/jakobrunge/tigramite,swh:1:snp:d5c79dadce799d2d29008d3cd89d3b63d145f00e
19606,https://github.com/theoremprover-museum/MKRP,swh:1:snp:9cd83954a1d399e5bc5f3ba4e1657b2e98c2df2a
19610,https://github.com/theoremprover-museum/InKa,swh:1:snp:fe1dcb47155944b34b5ca8bb50073019df62b09e
19613,https://github.com/theoremprover-museum/discount,swh:1:snp:d057280460bf641ddb21cdf40e3383bc75de5326
19614,https://github.com/theoremprover-museum/lambdaclam,swh:1:snp:735f52a8632278061b00413d1a08004615bd2bc4
19615,https://github.com/theoremprover-museum/HOL88,swh:1:snp:360263a91b4edebca2a17dbf20407b55d0f95cba
19616,https://github.com/theoremprover-museum/HOL90,swh:1:snp:07aa33af47a41be014064d748ab762177c418e1a
19617,https://github.com/theoremprover-museum/PRV-Beweisprogramm,swh:1:snp:a067fda89af49769acb6954d5174eeaafdf9a1ad
19618,https://github.com/theoremprover-museum/CLIN,swh:1:snp:40d564fb7215d1ae63ff53a829dfe99cce6af0dc
19620,https://github.com/theoremprover-museum/clam2,swh:1:snp:cd38e8b6dedd8efc8dc7082fff15a7531f15f04f
19621,https://github.com/theoremprover-museum/clam3,swh:1:snp:54088239c67e2bd19f13593efd185041dbbe7d43
19623,https://github.com/theoremprover-museum/OMEGA,swh:1:snp:2689c595cca0434306ff4b74ff650a0525bbb051
19628,https://github.com/theoremprover-museum/OSHL,swh:1:snp:2a63f8a9fd06a59ccc0b38017542692b4c591494
19660,https://github.com/giaf/blasfeo,swh:1:snp:a80311f9b445797311d60c07793beaa8532b7105
19664,https://github.com/cran/SEL,swh:1:snp:1a0cb6b31d8b2e41306e110907429caa4935de8c
19668,https://github.com/cran/fdasrvf,swh:1:snp:b74f71999cb0fc36c428ffe1c06710db2f4bc525
19669,https://github.com/cran/fold,swh:1:snp:521d694358dcf92c2044731de1d06628cb31e571
19670,https://github.com/cran/glue,swh:1:snp:27a10a37e91081cffb3580122b73336428adb8c5
19672,https://github.com/cran/metaplot,swh:1:snp:11c2adcdff1aa2cf9831a4dc5f2c74abfbfcceee
19675,https://github.com/cran/cna,swh:1:snp:ab64e64056fe8b1f0c6fef083047c7cedda607dc
19676,https://github.com/cran/freqweights,swh:1:snp:1eec314f4a64d66f0c4ae7efefc9b09905a88987
19678,https://github.com/cran/partialAR,swh:1:snp:b4f41f8a0294b6fd4e3888d64e6ef94d262b2d7a
19679,https://github.com/cran/QICD,swh:1:snp:bff6d40cb12eeb73eeac146d2f570e4788ea4387
19680,https://github.com/cran/Rsampletrees,swh:1:snp:82c63e9ae9e0655a74c00e22f0010f330aa89c03
19681,https://github.com/cran/seqminer,swh:1:snp:8417a72f1fce9972452057a6dfeab606fe96de15
19697,https://github.com/eleks/ADEL,swh:1:snp:56688041af77e73f00fc6d9d1148f8bdf4730cc3
19698,https://github.com/msupernaw/AD4CL,swh:1:snp:295edd417f8de47bf8326fd4c38f80e4f00fce8e
19702,https://github.com/cran/antaresViz,swh:1:snp:1ae188851966812a8394c7ad9f567aa9e4cc74ea
19703,https://github.com/cran/BeSS,swh:1:snp:811a619c9ea6345978938fc795343110e1e5be8e
19704,https://github.com/cran/dtree,swh:1:snp:564862b04db0e243481c05a8da3de4bbd4d5eb82
30587,https://github.com/backspaces/agentscript,swh:1:snp:e0814e33ed3e5c5e8309f2a6857eed7f353af55f
30606,https://github.com/ElsevierSoftwareX/SOFTX_2019_106,swh:1:snp:bfef34fa8e684cfc0790fd65ddbac37167236f3b
30607,https://github.com/jofas/conform,swh:1:snp:ca824301f336886d8cb4d46ad99988c42339cad8
30608,https://github.com/steven-murray/hankel,swh:1:snp:0a1a1041e3d6fcbedef4f33aec6fc5ef0774244c
30609,https://github.com/Sujit-O/pykg2vec,swh:1:snp:522cee9d9f369fbc0d40e0e1932e8236153c0eb6
30611,https://github.com/thunlp/OpenKE,swh:1:snp:95352754809c65a66ba0bcf11f2e11e0132eab69
30613,https://github.com/lockEF/BayesianPGMM,swh:1:snp:ac766865547bb8c587aa5bd5c28803ae62f06204
30618,https://github.com/geekysuavo/ibp-ng,swh:1:snp:d8badb091443f557a836467d915d22c11e471a3e
30622,https://github.com/llyr-who/PARALAAOMPI,swh:1:snp:a4279cb1a0b6a0a23b408f1423ef8df4797d38e1
30623,https://github.com/peridigm/peridigm,swh:1:snp:dc42571181faadd337fd14003ca1101cb60988ef
30625,https://github.com/cran/FRegSigCom,swh:1:snp:33a5fb31730624b0fd44a71792f19e90da3be176
30627,https://github.com/unm-hscl/SReachTools,swh:1:snp:f107f4e159a34fa1c160736f157bb2edc50abfda
30628,https://github.com/JuliaPolyhedra/Polyhedra.jl,swh:1:snp:8ee5f693231acdd2e032547ec122e70a5a52e4bc
30633,https://github.com/capocchi/DEVSimPy,swh:1:snp:ba7effe6fd09a6e4ec3f40742e565cb8db32fe19
30634,https://github.com/MathCancer/PhysiCell,swh:1:snp:cc248e66a0b0b76a6048dbfdccd4f9fec45dae4e
30635,https://github.com/alphatwirl/alphatwirl,swh:1:snp:88ecb9df1138a13f484f5c2189950a9485583ed4
30636,https://github.com/cbernet/heppy,swh:1:snp:acf9855d4c7fe1e6acf41f6c9fca6c24045b681b
30638,https://github.com/StingraySoftware/notebooks,swh:1:snp:13f28f36ae9b9bd72d4d3b04655dace2ca307e06
30640,https://github.com/ioannischristou/popt4jlib,swh:1:snp:e129915f518d7c0638b2cc751487294b42684dcb
30645,https://github.com/shane-breeze/atsge,swh:1:snp:81db4cb1dbf6552c74c082b915bf2bcd85a69c3b
30648,https://github.com/alphatwirl/scribblers,swh:1:snp:314b8f42856a57d8349f35e59780c81af520a285
30649,https://github.com/alphatwirl/scribblers,swh:1:snp:314b8f42856a57d8349f35e59780c81af520a285
30651,https://github.com/nanograv/PINT,swh:1:snp:41c563290b9144166054b3fa128326f59e7bb2e2
30656,https://github.com/temf/bembel,swh:1:snp:945e29749ca236a9de3ba20c5d13417f31a37509
30657,https://github.com/orbingol/NURBS-Python,swh:1:snp:144fbc5eff8ddd138a5ca67a964a6eeeae228bee
30658,https://github.com/SINTEF-Geometry/SISL,swh:1:snp:2792d61f017af5df6c976180b8dfb4bf83dc6295
30659,https://github.com/yiskang/libnurbs,swh:1:snp:07b33b76f4787eee578e638dc4a6b39815b60808
30661,https://github.com/niess/turtle,swh:1:snp:5966276b34c00917ebd12160f3676f3eb007b084
30664,https://github.com/niess/turtle-geant4,swh:1:snp:51bca6777190ba3fea0a3abc06ce2e8cf3bb4008
30665,https://github.com/niess/pumas,swh:1:snp:261df1da9fc7981e00c6fa47edbb40602bd20c91
30668,https://github.com/vbertone/apfelxx,swh:1:snp:7f1391469f71214aa5877ccee2de5906b9ee868f
30670,https://github.com/cemcen/Delynoi,swh:1:snp:7da255adae51f57705e4427ba662b8ee99bec7b1
30765,https://github.com/cran/gapmap,swh:1:snp:5ed9b0fd5eeff2cc8608e8e13369034e6aa8f465
30766,https://github.com/jokergoo/ComplexHeatmap,swh:1:snp:a5f26122cc5abdca5f666ce0bfbdbcfeedff67cf
30771,https://github.com/jamovi/jamovi,swh:1:snp:e073728938907f19368db4c3d420f82f72cf8eb3
30772,https://github.com/DISROPT/disropt,swh:1:snp:d0a750712e5a53676e6765d2e7063a8fcc6d1263
30774,https://github.com/cran/GEVStableGarch,swh:1:snp:843311b1c1649cef07eb865a6cdf873996f5a836
30777,https://github.com/cran/multinomineq,swh:1:snp:253a198c7c2d9cd4dad0fed626f885196207fbe1
30778,https://github.com/cran/rPorta,swh:1:snp:1894c07b06e4cffe95c2aba4dfeff2ab6a8e24e6
30783,https://github.com/kbansal/servois,swh:1:snp:cc206468d7ff40fa0da910af26076e4a97fbdb5c
30786,https://github.com/dobriban/pvalue_weighting_matlab,swh:1:snp:ea04bf786df6b5e5ae0d8b1f29f43c0d9329ee87
30788,https://github.com/spring-epfl/zksk,swh:1:snp:0fa603093e83f8b390f0ad000cbc4dd599a4e59e
30789,https://github.com/gdanezis/petlib,swh:1:snp:ce7a4a241e3a72492cfe4af8a5406c5ecd71a62a
30791,https://github.com/cryptobiu/libscapi,swh:1:snp:1f11f92065c1cea418e73b932c9810d374bac060
30792,https://github.com/xlab-si/emmy,swh:1:snp:d0b6e26b8894bc96c886f3e412704103edfc1f07
30794,https://github.com/gdanezis/bplib,swh:1:snp:fb1478bcb7b3cb560fe1115ac9dfc0fbaff6dda2
30795,https://github.com/lvanwaes/Inputlog-Copy-Task,swh:1:snp:0a0e57864aeecd6d7c1fb7ba46644ea6a48af7ab
30798,https://github.com/JGCRI/gcamland,swh:1:snp:6887d918a847d3bab2b949ebce5fc49f377c3d02
30800,https://github.com/terryyin/lizard,swh:1:snp:15505311b4bd0b07e566e85aba4cd06cd9d85705
30804,https://github.com/sblunt/orbitize,swh:1:snp:97dd5fcdcaa05a719cb8f48725394ecd50c99622
30805,https://github.com/vortex-exoplanet/PyAstrOFit,swh:1:snp:e41a875436df47b59943f8f9ddc2d020968c14f2
30813,https://github.com/cran/rankreg,swh:1:snp:597d78212d686bdaf137c624fe04a751e68ad570
30830,https://github.com/dlsun/symbulate,swh:1:snp:0b7a68252b0ad37a7cde975aaaec9ddffe6c20ee
30831,https://github.com/cran/CAvariants,swh:1:snp:417043d5baec0d04520f581a6320c5762d3862f6
30832,https://github.com/cran/FactoClass,swh:1:snp:37535c16362695774b1c4edd414691c6e3a4a3c7
30835,https://github.com/cran/emdi,swh:1:snp:471039a7d8c8bf56105a57eef17491b4503fe7e3
30840,https://github.com/becarioprecario/SAE2,swh:1:snp:a0df8cb910f80da3b68460c62f41137cb4c5968b
30843,https://github.com/cran/rsae,swh:1:snp:4d44e6e760dc956a0172a6368e8e552851cc78ad
30844,https://github.com/zitmen/thunderstorm,swh:1:snp:97074b37b072e713c32b73d65072faf7587e8c08
30851,https://github.com/mikajoh/tidystm,swh:1:snp:c8fd17cd6872bf6370e5a2f788fe390b8a5618b0
30852,https://github.com/cran/readtext,swh:1:snp:522460b302abae621480b7ca034046ce90f6e0af
30855,https://github.com/mroberts/stmBrowser,swh:1:snp:acacf1ccaa80ff1b3c009a9fb0bb53d293521e81
30856,https://github.com/mikajoh/stmprinter,swh:1:snp:2c488653163d794b146d1bb524bfbf0b8b339a68
30857,https://github.com/cran/Rtsne,swh:1:snp:405656d416a21e89b6e185fcd2c7397d955ad165
30860,https://github.com/elki-project/elki,swh:1:snp:39576045683b5071ab373a369b6a3d4c5ff1ad14
30880,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00005,swh:1:snp:3a6c04239b96302d1ad41782455ad176bfc14e3c
30883,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00017,swh:1:snp:f21eb7a18e3c3434dbf24a6a6737e7b3b5ef5117
30885,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00034,swh:1:snp:0ad17ab240ef218ea8e74c90f6fc1b44d4cfe279
30888,https://github.com/cran/hopit,swh:1:snp:9340a8619a4a174745b2f35ca3528a6f14b51dbc
30889,https://github.com/earthlab/earthpy,swh:1:snp:322904768060ff871985447f52e4792b52330083
30890,https://github.com/geopandas/geopandas,swh:1:snp:38f7f4a590b003fcc9eaba3b3d72e5e8716a5355
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30892,https://github.com/ozak/georasters,swh:1:snp:4d63d331ace4aa5a852cc492b4246e5de12a14b3
30893,https://github.com/mrgprasad/kanapy,swh:1:snp:dd9f646511db59a826123ca7ebcb39159cfedea8
30894,https://gitlab.com/tesch1/cppduals,swh:1:snp:16396d344ebd8e64958210fd2e1fcb6350ad11e2
30895,https://github.com/autodiff/autodiff,swh:1:snp:58e306402686cc426abd4e2426860ae368bf1f6d
30901,https://github.com/slundberg/shap,swh:1:snp:d10d6dc0f3cc2e0469cb477644c05a75a443e91c
30903,https://github.com/cran/iBreakDown,swh:1:snp:f164dc5d49184597de8c3b9e1f447ce60ab59784
30904,https://github.com/interpretml/interpret,swh:1:snp:5dfe9f6ded76e28b50e45eb2bdfdce6ac0b36e27
30905,https://github.com/antoinecarme/sklearn_explain,swh:1:snp:51ce85c5dec0f23d21ea4d2e51833fdc75087552
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30910,https://github.com/aviks/Taro.jl,swh:1:snp:f28b4fb606238078c5b63ccf7a479a48ec222d29
30914,https://github.com/cran/tidyUSDA,swh:1:snp:25f8a6a68a13fe53a68db37a1a207f2b1ecf4192
30915,https://github.com/MathieuLeocmach/pyboo,swh:1:snp:e0ed34bd894f29e885de8ce60c611ec9013508b1
30916,https://github.com/WolfgangLechner/StructureAnalysis,swh:1:snp:564d2a74ac6539d80109abb0d96efc83364b5090
30919,https://github.com/ANSSI-FR/libapn,swh:1:snp:5d421b0d111fb382dcf954e13323f5c8438fd596
30921,https://github.com/openMVG/openMVG,swh:1:snp:b0b6d500b41b0ab2233691a1b633ea3feeafd7c7
30922,https://github.com/NVlabs/intrinsic3d,swh:1:snp:eaabcacc49cd070ed1f82c0a39a64850003189fa
30930,https://github.com/StephenGenusa/DCPCrypt,swh:1:snp:4454522a976eade39708f095623cb4a695f99ea2
30931,https://github.com/uber/NullAway,swh:1:snp:aab02fa624e7333689cec73c4b570e4754d721f3
30932,https://github.com/ReactiveX/RxJava,swh:1:snp:73a5b1021e59b55c06a66df3afd92154f1e23eb8
30935,https://github.com/math-comp/math-comp,swh:1:snp:54bb802fc026b272ee61748fcc1136807e919967
30940,https://github.com/MatthiasNickles/delSAT,swh:1:snp:2575c111508753d0c9cc2546e174f14045a46332
30941,https://github.com/scijava/parsington,swh:1:snp:f8d3d310ba337e91e2dee6fddb2b2fb3b236fbfd
30942,https://github.com/vigna/fastutil,swh:1:snp:c9a86af22b6ee84c4142c9800305f43442369c78
30944,https://github.com/heinekmp/Arbores,swh:1:snp:ce3d84ff58952b88d52163f4aed606ea442dcdc1
30945,https://github.com/opcm/pcm/,swh:1:snp:10f4102730d25326b813881cc3ad0ce951c56024
30948,https://github.com/julian-tschannen/autoproof,swh:1:snp:acf576b387ac9613444864e67ea637992d61a4c5
27895,https://github.com/cran/ReadImages,swh:1:snp:7d86fda806e87e94abeaf674ba9b682c2e8a19f5
27896,https://github.com/cran/beadarrayFilter,swh:1:snp:873f3fb011270822fb0e606e96c328043daa75a3
27899,https://github.com/cran/plotROC,swh:1:snp:8eb6e488d826a3121dbb5ae67e7beb1aca5d7c62
27901,https://github.com/cran/water,swh:1:snp:9dccb1d9836e5cf4dbb940a73bddbd302c6f0120
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27912,https://github.com/Microsoft/LightGBM,swh:1:snp:44e53b0cec40ae70c2c879ec994c424c73cc100b
27913,https://github.com/cran/horserule,swh:1:snp:66d7e9ce13e4af13854dd08e1edaf3f693db1be2
27925,https://github.com/homalg-project/CAP_project,swh:1:snp:4ca4d2883f26cf52df560b445946378be43bb16c
27929,https://github.com/cran/dcminfo,swh:1:snp:6ab9167ea4a7892d72acf84061264a4b4ca42c5f
27938,https://github.com/biaslab/ForneyLab.jl,swh:1:snp:98c345cc67ff22cdbb0909917b47c0b6537f2ad1
27939,https://github.com/thu-ml/zhusuan,swh:1:snp:0925078c3304dc0002abe51c30a90bf3fde7016b
27959,https://github.com/apache/hawq,swh:1:snp:bcde6e0de9ba9b57715ec455fe38689a1d7f6b44
27970,https://github.com/qMRLab/qMRLab,swh:1:snp:406953d098fdafe20dfe5c18542fd01be3799ba8
27975,https://github.com/gap-packages/AutoDoc,swh:1:snp:bc0b37139f39906a38e7d8776122a29dd1beaa90
27976,https://github.com/bh11/crisp,swh:1:snp:15ebef912b51b78799eeb1b12713f58bd852f5d9
27978,https://github.com/gap-packages/FPLSA,swh:1:snp:63070b9bf433688332a73fa77ebac1986a13e713
27980,https://github.com/gap-packages/groupoids,swh:1:snp:ecb62f6ba385b0bbb2100113db83c9eee361ee56
27981,https://github.com/gap-packages/sophus,swh:1:snp:c0a3346ce51fda26de9277c80db7ed88001cc6ec
27982,https://github.com/gap-packages/radiroot,swh:1:snp:0a9c59ae1c3ee7634538f973ea83071a4874e900
27986,https://github.com/hulpke/transgrp,swh:1:snp:bbcef6dd095192c6f309ce6c6442c7bc4b4d8810
27987,https://github.com/gap-packages/ZeroMQInterface,swh:1:snp:ae0e66893fe97fd37c8da719968e15c0a064be99
27988,https://github.com/gap-packages/primgrp,swh:1:snp:51f2f7e0b8de4b7b39d101bed1f152b0cb250442
27989,https://github.com/gap-packages/Thelma,swh:1:snp:d1ffa8db8697be6451fd4b5de1814ca1d2948864
27990,https://github.com/OpenMatrixLanguage/OpenMatrix,swh:1:snp:66e20faf19ad575883e75e13a4ac0fae406289a5
27995,https://github.com/gap-packages/SymbCompCC,swh:1:snp:75b31c978e4446192dcd24093e65f8135ac85d87
27996,https://github.com/gap-packages/permut,swh:1:snp:4f76b44823d94f54e697c396ae3cbcc24afd833f
27998,https://github.com/cran/SmartEDA,swh:1:snp:7b5fbe28799b2e18d7f74deba633125504f88044
28000,https://github.com/cran/dlookr,swh:1:snp:7cfa70b860293625bd8e7ac45c9f39d34e2466b8
28002,https://github.com/cran/adjclust,swh:1:snp:eb22ac196b30d94b6435c49a8b2c41e9778a489a
28004,https://github.com/cran/capushe,swh:1:snp:a492787409fb359d40904398a8a07fab447acf19
28006,https://github.com/cran/ddsPLS,swh:1:snp:3afe31a0efe07446d52d10f35dce810c99e369a9
28010,https://github.com/ElsevierSoftwareX/SOFTX_2018_200,swh:1:snp:23c92a0ee04c29407881be8b9e09dfeb2c2876a5
28013,https://github.com/horchler/SDETools,swh:1:snp:6d6ef6457bf80e6e948b7f5543bb10945f322f6e
28014,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00057,swh:1:snp:da729a613c8e08a774afccbfbfbe760bbb509460
28028,https://github.com/kbatseli/TKPSVD,swh:1:snp:9e808494c95e2c68bb86ca50d134cfb6ce2c721f
28029,https://github.com/evalf/nutils,swh:1:snp:af113976b801b77fec68184f9b741fe2144a9c25
28040,https://github.com/LadaF/PoisFFT,swh:1:snp:2e54c5b00a97eaefa95636f3dc33ecc848c7ded5
28044,https://github.com/cjdoris/Genus2Conductor,swh:1:snp:9d1eee26a0b7c44eff1f1c404a21c9f221c73beb
28045,https://github.com/cran/rsatscan,swh:1:snp:24daad01ff06ebb962431fe72e0e5b0ad73e89ff
28046,https://github.com/egarpor/rp.flm.test,swh:1:snp:268dbc6485973f880c94d00389e4ed0d175580cd
28055,https://github.com/baolinwu/MTAR,swh:1:snp:9ec1f387d3721cf4d74bc98ab8a32dc817c6f2d5
28066,https://github.com/whcsu/SurvELM,swh:1:snp:e5b09b504af20ad5e322c687504090cf19689cb9
28068,https://github.com/e0404/matRad,swh:1:snp:910ab8496de50a80990a50871b6e4581ce1b5430
28070,https://github.com/coldfix/pystif,swh:1:snp:d0ad290d3b9ae54b4c60124e072b279401932309
28071,https://github.com/coldfix/cfme,swh:1:snp:7918bfa8aef0d3c544ce1d280743ee3c37bc4b8f
28198,https://github.com/paro8929/askja,swh:1:snp:882fd89d2134419e635a8a54ceb2a52e63e08aed
28200,https://github.com/cran/brnn,swh:1:snp:1f31e58317d5278a19f26d861b4ae8c412f20e68
28202,https://github.com/levyleduc/BlockCov,swh:1:snp:8899c9f6d13ca45b7ed785ea99b07e19d8bfb037
28207,https://github.com/cran/calcWOI,swh:1:snp:63da76f6d5e8ec7d555c63fc40e605c987f27a52
28218,https://github.com/hypro/hypro,swh:1:snp:f06cab640c33e1dc29ae615093ab7434ea557fa3
28220,https://github.com/DIPHA/dipha,swh:1:snp:7193b378e6cf5250a00f013ef7a628d6f711c28d
28223,https://github.com/PermutaTriangle/PermStruct,swh:1:snp:747e2aa6c2c382f207bcc28bf61834dc0dfbe96d
28227,https://github.com/Cloudslab/iFogSim,swh:1:snp:26f7b6a0a78313ea6f18d292e850ca7405815c0a
28231,https://github.com/digs-uwo/dcsim,swh:1:snp:f13c456d581f8e0f724de7cbabdb2c2854e1895f
28234,https://github.com/KhiabanianLab/MERIT,swh:1:snp:c930318fbfb4a24715ab110feec2374e63b28975
28236,https://github.com/MOHICANS-project/2CoBel,swh:1:snp:673a7f3b5f75113575a2a39c34953523bf35265e
28237,https://github.com/mkurdej/bft,swh:1:snp:8025de555fc5b616672fc7a43805c71055d8e0e0
28240,https://github.com/cjdoris/ExactpAdics,swh:1:snp:e992b9a709a13d44ee7a405cd41a98d2113289b2
28242,https://github.com/FASTAptamer/FASTAptamer,swh:1:snp:38a469e841882147c84c06fac0156756a6cbaeb5
28243,https://github.com/ICB-DCM/PESTO,swh:1:snp:67721f3200c645ed27da763c44bf6d2d5fe7fef7
28244,https://github.com/robypoteau/qlopt,swh:1:snp:053671acba04198664992fea8d41720a93c59391
28246,https://github.com/klim-/hypore,swh:1:snp:26f1d11c6c60a91512b0aab18a9ea9fee92aaf77
28253,https://github.com/kellertuer/MVIRT,swh:1:snp:328cfda97b8de42d0f329ed17bbf265b24e9d20b
28260,https://github.com/mikemccourt/gaussqr,swh:1:snp:08ca3b3245e0b979df709fe77a0fc4a865e94c56
28273,https://github.com/cran/bssm,swh:1:snp:eb48acbb2600711a6bfc3af443e9e4dac6198f30
28280,https://github.com/Astroua/TurbuStat,swh:1:snp:c0b00eaae393c92c9b91757cd3a6334f7145cd72
28281,https://github.com/dendrograms/astrodendro,swh:1:snp:86ca4cb571c0cee1ef7ef460a3feab8a09f12041
28282,https://github.com/radio-astro-tools/radio-beam,swh:1:snp:678fdc4df4bae42c29227692bfbf3d2adfc00d10
28283,https://github.com/radio-astro-tools/spectral-cube,swh:1:snp:62db32cf96bc65eb87b195f6ea26810afbb500c2
28284,https://github.com/jbellis/jamm,swh:1:snp:0f684678f98f91369daba5f6f0aa0b6dec1176c7
28292,https://github.com/nubirel/bimEX,swh:1:snp:6ef8d54bbe9f23bedc4bbb58f28baad29e33d856
28297,https://github.com/sdwfrost/Gillespie.jl,swh:1:snp:2ba18e1b4350ca4a234d1b343de4952ac9301923
28298,https://github.com/mdbloice/Augmentor,swh:1:snp:8f22951fb72484458250d3e50e0474df7419c255
28299,https://github.com/jmdvinodjmd/LIBS2ML,swh:1:snp:1f49762c5cb8c9e515d9f55f5e77eff32ee3cc27
28300,https://github.com/neurodata/graspy,swh:1:snp:accfd80c02a3e6f9383e805f3c2c958df34e1a0f
28302,https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix,swh:1:snp:83504bdc19d27c5ad7d87b59319f89a107105fd9
28303,https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix,swh:1:snp:83504bdc19d27c5ad7d87b59319f89a107105fd9
28304,https://github.com/leoprover/embed_modal,swh:1:snp:ae9e0a6cf34102c69c78d6e876cad76044d3b641
28308,https://github.com/giocaru92/AvN-triples,swh:1:snp:4a78755c24997e361942d3fc1a8781e09c84ccea
28323,https://github.com/ALPSCore/ALPSCore,swh:1:snp:75bb0230c4ffdfd086848b4871dab065f0884d93
28326,https://github.com/jaurentz/cucheb,swh:1:snp:b5f7d0a4da851fc0a5a1d12fb0382d00c6e584e4
28327,https://github.com/LevBarash/PAising,swh:1:snp:c67780ab04238e4c15e81aa292ce8b6732fd4d1e
28328,https://github.com/FormTracer/FormTracer,swh:1:snp:dab2ded2982d8b4f2db322ab37a18db27aac72b6
28329,https://github.com/FormLink/feyncalcformlink,swh:1:snp:3ee5fa509758c83b9e5e60f88f6f954614984e06
28330,https://github.com/benruijl/forcer,swh:1:snp:3f7ecb330103e24b18fb6b8f954aa4925fc66887
28332,https://github.com/MhLiao/TextBoxes_plusplus,swh:1:snp:71179796af1d3b5709093098e0b15f0532c67286
28333,https://github.com/yaoliUoA/characterness,swh:1:snp:a81b4e6cd586c9c808b2bf11b59279dee3a97d85
28334,https://github.com/argman/EAST,swh:1:snp:0fa45d4f106a96d77cb25c7a708bc9cf4c1054d2
28335,https://github.com/sanghoon/pva-faster-rcnn,swh:1:snp:6d47b7dd22f61a486192159b70e45847ec30e2d4
28346,https://github.com/MhLiao/TextBoxes,swh:1:snp:1bfb64899eb3181f1066da96269d2752a432b39f
28347,https://github.com/lluisgomez/TextProposals,swh:1:snp:33a4336cc6c8a25a1ea338c24b199d10b2ed26ad
28349,https://github.com/beacandler/R2CNN,swh:1:snp:05ad526b03bdf50f6dd97786c622bbb8dfc04960
28350,https://github.com/andreasveit/coco-text,swh:1:snp:f35ccbe35c2ea1cb449e64915e426d9b2a1774a0
28351,https://github.com/MichalBusta/FASText,swh:1:snp:ec15bec27b001327b89723152b3f031cabeb648e
28354,https://github.com/dividu/dividu,swh:1:snp:23cdae8a887304e49dcdae1f52571e671f14a14c
28357,https://github.com/DurhamDecLab/ARBInterp,swh:1:snp:96e2261491ff92201555a21efc66e9f9b6821b9d
28358,https://github.com/Language-Science-Models-Lab/voss,swh:1:snp:a2a9a4484dd2acb47926b72dbd461a3da65fa0b7
28359,https://github.com/ceharvs/transplant2mongo,swh:1:snp:e25b8e8e387ed9633c0e863fc0554ea4d4a51a88
31372,https://github.com/qMRLab/qMRLab,swh:1:snp:406953d098fdafe20dfe5c18542fd01be3799ba8
37657,https://github.com/MadsAlbertsen/ampvis2,swh:1:snp:a66621998b603739882216f3f0c8d56badddee03
37658,https://github.com/umerijaz/microbiomeSeq,swh:1:snp:04ff9342b2fb4d563f748a3c7e3b638aa5e323d2
37659,https://github.com/maartenbreddels/ipyvolume,swh:1:snp:0e00d03981a7901e4a74d511fecdf7387213e6ff
37660,https://github.com/giovannipizzi/seekpath,swh:1:snp:e556e81974c2e700338af6aaab7fe2c3d9eb4d28
37661,https://github.com/romerogroup/pyprocar,swh:1:snp:318be19e5ae981137245b8a1f2d4ff81b086def5
37662,https://github.com/jmobrien/SpecCurve,swh:1:snp:2eab106f7081cf86228f797d65bb2e9692dcee05
37666,https://github.com/mbsim-env/mbsim,swh:1:snp:09cfab288696a77f73bc5ddcd9ff798b9a0577ab
37676,https://github.com/FastNFT/FNFT,swh:1:snp:ae62735a55dc95118dd79042f4ee7f3ea0350b41
37685,https://github.com/usyd-blockchain/vandal,swh:1:snp:203500a8c8502cfc32df6163f50a4c83d8297d2d
37686,https://github.com/ConsenSys/mythril,swh:1:snp:ba0f64248cb633370d2a9ffea0c2fea583d0945f
37688,https://github.com/crytic/slither,swh:1:snp:6ccd52d083324d1c194915c0d7d7aa7beeffbba7
37691,https://github.com/trailofbits/manticore,swh:1:snp:b81f3e90e6ff4e27a7f238601e76b84ad1778a38
37693,https://github.com/crytic/echidna,swh:1:snp:0c60e61a056ab5ec0ff10cf6b4ffc1d2fdd1ec3a
37696,https://github.com/spotbugs/spotbugs,swh:1:snp:61f172323c09f6676bf2246a231242982318c7d9
37697,https://github.com/eclipse-cognicrypt/CogniCrypt,swh:1:snp:f363424b143644d91673cd2564628607f4d40ed6
37713,https://github.com/fjargsto/abem,swh:1:snp:77a69c24dd48fd6608f257c9bed8433c65589ba3
37714,https://github.com/fermisurfaces/IFermi,swh:1:snp:4ad7bdf418ed2765b3e83d30e96107c14703129c
37715,https://github.com/mikedh/trimesh,swh:1:snp:12e61864c083c1b511bcb4b4e3f4529a6a5bdb41
37725,https://github.com/pytorch/opacus,swh:1:snp:674b30dfb1c478aa92f2621859234550955343c4
37726,https://github.com/ChrisWaites/pyvacy,swh:1:snp:fb8765db8f3654ddf214268d0aba9dffe07d2614
37727,https://github.com/RyanHornby/AttributeRiskCalculation,swh:1:snp:aca4d31b694e75a9131b24f68ded4fa163191883
37728,https://github.com/RyanHornby/IdentificationRiskCalculation,swh:1:snp:562d6fed402917832055bffb29dbd61c17fd15bb
37729,https://github.com/fernandoPalluzzi/SEMgraph,swh:1:snp:24402bb9421a9350627b712c06cf09a0db9549d5
37734,https://github.com/SegFaultAX/graffiti,swh:1:snp:4435c77465afa1369327bbc623fdde8dea4c8801
37736,https://github.com/opannekoucke/sympkf,swh:1:snp:b21e2fed6fdf419c67953779f761bc79e471eed5
37737,https://github.com/opannekoucke/pdenetgen,swh:1:snp:54fd885638ebdec85436df5427929a293d0a2c50
37739,https://github.com/GAIPS-INESC-ID/FAtiMA-Toolkit,swh:1:snp:6ba7f504f549e137b50172fa514e7852297c60c6
37741,https://github.com/castorini/pyserini,swh:1:snp:7649dbb81c5370c06c6fd5bb31d37bbc1ce7629e
37743,https://github.com/iPieter/RobBERT,swh:1:snp:a6b5c10b9cea32deac6e5fc1c548126843c678a7
37745,https://github.com/wietsedv/bertje,swh:1:snp:f61c79a86d1a6ec42761232182b62106dea828df
37747,https://github.com/google-research/electra,swh:1:snp:198a404e7ee1ad5ade5f99519d8025b7c34857fe
37748,https://github.com/optuna/optuna,swh:1:snp:de2d094ed35a70f5e1da5634e03827e7d6475ed5
37749,https://github.com/prakhar-agarwal/metapath2Vec,swh:1:snp:2f11554ac795639ab18bf8c0c1e2524b67530b93
37750,https://github.com/csiesheep/hin2vec,swh:1:snp:deef20a34651dac631385502af981e85a5d28322
37751,https://github.com/hgyhungry/ge-spmm,swh:1:snp:9dea920862db09871adb4dc8a93893598a9004c9
37752,https://github.com/xptree/NetSMF,swh:1:snp:7d249c2d70afd5df0161afe9202a0f14b20954c4
37753,https://github.com/DropEdge/DropEdge,swh:1:snp:f4282b4d183ba537d83e0dee757efd7613210a41
37754,https://github.com/fanyun-sun/InfoGraph,swh:1:snp:9ef14935a3e18227df130499e29d261aaa5db04d
37755,https://github.com/DeepGraphLearning/KnowledgeGraphEmbedding,swh:1:snp:dbe8a4eaf4ff75dc0c9fcb87bd0772d51d18ba10
37756,https://github.com/mnqu/PTE,swh:1:snp:9b9dd6accb26cb18e25cbd51fcb667c93bca6a22
37757,https://github.com/THUDM/ProNE,swh:1:snp:17db5369c1ff93da1a72a469ad6ba792377fb767
37758,https://github.com/GraphSAINT/GraphSAINT,swh:1:snp:c95aeeab91acdd4210767e398839b2344ed8a42c
37759,https://github.com/castorini/anserini,swh:1:snp:0cfdae11e7d589401e13f0787a0e5d705ccbcc95
37760,https://github.com/stanford-futuredata/ColBERT,swh:1:snp:0d12cffd784892786404aaa77185794464b675c5
37761,https://github.com/castorini/docTTTTTquery,swh:1:snp:07ce1471fac4da03245b94822eda21ea6ee77392
37762,https://github.com/capreolus-ir/capreolus,swh:1:snp:78b5fb3f0a56fbf6edf335dcebc7d6daf4727787
37763,https://github.com/castorini/covidex,swh:1:snp:2e8c4ea3cba94746888ac37208e93c6ab3669d3e
37765,https://github.com/symmy596/Polypy,swh:1:snp:a6c85af888d1782a19904cf76281428d06692698
37766,https://github.com/chemfiles/chemfiles,swh:1:snp:8a2e88aacc09e0ba1c75715a0d5e0d58ade65a0f
37769,https://github.com/giswqs/lidar,swh:1:snp:631b750e85493da7cec8c1e1b7e3953a53f33d9a
37770,https://github.com/r-barnes/richdem,swh:1:snp:3cf0b65c2e8e3538df9dd522b50286f2e42724c2
37771,https://github.com/jblindsay/whitebox-tools,swh:1:snp:ff365454f3e8c956d536f0999458f7aa29b59708
37772,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00077,swh:1:snp:729bd6f1c17792a2454922beb79190be8b579dee
37773,https://github.com/ElsevierSoftwareX/SOFTX_2020_260,swh:1:snp:6dfb0c9a294b3dbca5aa7d4d615b82d4c320849e
37774,https://github.com/ElsevierSoftwareX/SOFTX_2020_46,swh:1:snp:547d080520c874d120a11bd56f9050a2b6e069b8
37776,https://github.com/kazuho/picojson,swh:1:snp:d3261cc69796dfa3de68d8690944f95853be1efc
38144,https://github.com/lskatz/SneakerNet,swh:1:snp:afa6b9ff9998f1715497cc57ee23753bca717849
38145,https://github.com/kuadrat/ds_arpes_plugin,swh:1:snp:9a5759b41eb28d4d17d18b70a0641a13115cb5d3
38146,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00002,swh:1:snp:b288b3d510395a4b27e4a9c66692ac2f8e791e5d
38147,https://github.com/ElsevierSoftwareX/SOFTX_2019_160,swh:1:snp:9c028dc06cbbd6861be6bb04eb4f144bdb03833a
38148,https://github.com/schultzm/pandoo,swh:1:snp:006cdd085ae4e2a5dd7d66988d588675096790fb
38149,https://github.com/oschwengers/asap,swh:1:snp:ca6ba209140546e26389dc82d657bf7f4c221bb6
38150,https://github.com/tseemann/nullarbor,swh:1:snp:1d6a3f7474d8f989ee6a760bc790cd468dd30abc
38153,https://github.com/HenriquesLab/NanoJ-Core,swh:1:snp:bf2c746b750d13fe53532714afb85a993c11e838
38156,https://github.com/wagenadl/vscope,swh:1:snp:4e0abd0d8f01bf245bb1e2dd08b0f34cb90b75b2
38157,https://github.com/angus924/rocket,swh:1:snp:863f25e24024d4f70c3a8e8839b7660625a81efe
38158,https://github.com/PIA-Group/BioSPPy,swh:1:snp:caaaa37106b8b1b6480029ad5f882d2a18abc9f4
38159,https://github.com/pastas/pastas,swh:1:snp:6c2ec7f24ea04696b0f0dba488957701b5603bf7
38160,https://github.com/fgnt/nara_wpe,swh:1:snp:f895ef71cf99da179a12c759d1526a0c306c5df0
38161,https://github.com/AIStream-Peelout/flow-forecast,swh:1:snp:f65c67733c5b45c3e02feb3e50727a1930973d99
38162,https://github.com/jankrepl/deepdow,swh:1:snp:8d26633cc2d713c60b8a22ad217ef4d5d171ce0e
38163,https://github.com/datamllab/pyodds,swh:1:snp:ccc63e82dd3e91bb5ba3e1a077ce486d3dd4594b
38165,https://github.com/wannesm/dtaidistance,swh:1:snp:6caaef8c2eb13c2eb0d65e5793c187c007b66f00
38166,https://github.com/PYFTS/pyFTS,swh:1:snp:99dec2bd41bab09c3456a9f7e427eb08243b71c7
38167,https://github.com/firmai/atspy,swh:1:snp:8507338b23f3b7cfb7694aa00144d8a46b62582c
38168,https://github.com/firmai/deltapy,swh:1:snp:e8cfb97b46ebc644830f87e02898124600a7fad7
38169,https://github.com/alkaline-ml/pmdarima,swh:1:snp:ea061468088dbf77bbabd5df0f8cf0dff6980018
38170,https://github.com/raphaelvallat/yasa,swh:1:snp:8b165e868a7eeaeb9b2b28caa486db02d32ad054
38171,https://github.com/tsurubee/banpei,swh:1:snp:d11c210cd69405d7dd7907832db89470b4d8fc5c
38172,https://github.com/cran/ri,swh:1:snp:f199bcd8cd2194f731c1f8e61483be57443d8400
38173,https://github.com/JuliaIntervals/ValidatedNumerics.jl,swh:1:snp:4213b371cd19e95854009a3ab12024570a8e093a
38174,https://github.com/JuliaHolomorphic/ComplexPhasePortrait.jl,swh:1:snp:7ccc221070a0f7d5a90023d415b45e967e0b01c4
38177,https://github.com/adbuerger/pycombina,swh:1:snp:a44e89c3298cc88f5d46a8df6b739531ba8ef5e8
38178,https://github.com/unit8co/darts,swh:1:snp:11953378af34c85442544257b3b5c973518b4b8a
38180,https://github.com/pmorissette/ffn,swh:1:snp:d34a81753317a2dcb058ee32cd44d573eda9e2b3
38182,https://github.com/bashtage/linearmodels,swh:1:snp:fdfcdcd0f0bab337a4244838ada265677c48cc4a
38184,https://github.com/matrix-profile-foundation/matrixprofile,swh:1:snp:a0307f115a3a2c9fb64ed7a63aeee216c520534b
38185,https://github.com/ourownstory/neural_prophet,swh:1:snp:2a277ff9e1acad387a2d3df33fbd84616ab59ee7
38186,https://github.com/nipy/nitime,swh:1:snp:4dfbb0990fae7b44b887513ea0005e0eae972652
38188,https://github.com/antoinecarme/pyaf,swh:1:snp:a105d172c2e7544f8d580d75f28b751351dd83b6
38189,https://github.com/wwrechard/pydlm,swh:1:snp:647b32e82b4485ea2d61899bd287c30b78daf813
38190,https://github.com/zalandoresearch/pytorch-ts,swh:1:snp:f3bbb9504e10dff2bafc52d11a4afee5ec325390
38192,https://github.com/ScottfreeLLC/AlphaPy,swh:1:snp:8487916d35e14deb33a09f8982d2b3165596f6c9
38193,https://github.com/joosthoeks/jhTAlib,swh:1:snp:ce12ad08798a6facef65673b77b3768f427133f9
38194,https://github.com/insarlab/MintPy,swh:1:snp:21b6651ef6b80843ed253376127ff85b750e0f45
38195,https://github.com/GeoscienceAustralia/PyRate,swh:1:snp:e85aafb5fc900c1df2eebb773a8b8e11798084c1
38196,https://github.com/PyRational/PyRational,swh:1:snp:5ef1ea829ac0d10ff6b1a7e3937635e40b2fc5c4
38197,https://github.com/mikgroup/sigpy,swh:1:snp:d667fb2d317e3cd59c9b1cfc2ca82a860e6bedb7
38198,https://github.com/novoic/surfboard,swh:1:snp:8387414501a597631a86952486cb682b1fd84157
38199,https://github.com/bukosabino/ta,swh:1:snp:f443a8bb2ef4392563899deb5c6a5a5df23c9088
34001,https://github.com/r-spatial/rgee,swh:1:snp:cd3d705b5b43bb6fd5ccc33993dd1610df05a0bb
34002,https://github.com/darioizzo/dcgp,swh:1:snp:b894ef06e6080a0e6947952dd16c06a568f7e743
34003,https://github.com/AndrewJamesTurner/CGP-Library,swh:1:snp:7dd66f76220d828303735e4f6f0aeaea343d5e8a
34222,https://github.com/cran/goffda,swh:1:snp:e68bd61f21f327452f1b4ace20cffb4c853335fe
34223,https://github.com/cran/cgdsr,swh:1:snp:0901ec00bf6282199c7373c28647311e0540fbf5
34225,https://github.com/InfOmics/IGTools,swh:1:snp:de183ec35bd693d8786f2e90703fb7b57b8c67d4
34230,https://github.com/Logic09/MRUniNovo,swh:1:snp:7d201f04d0098ef70bc711b5d3de1f99f50a0c31
34231,https://github.com/MEMO-toolbox/MEMO,swh:1:snp:1ad165e0903230a5420a666cc2af919de00158e9
34236,https://github.com/mrmaxent/Maxent,swh:1:snp:c24b68b080651801957d1a3e506a4ad5de8a35de
34240,https://github.com/elliotchance/c2go,swh:1:snp:10908502e33f9982e44f023228fef3c1d5dd009e
34241,https://github.com/TrampolineRTOS/trampoline,swh:1:snp:3910bd930dbdeb7ede336181a29e91a671aadb66
34245,https://github.com/openai/glow,swh:1:snp:39a7c26c9c78a8eae75c0947ac927ba6e6a0b2d0
34251,https://github.com/johnbarton/ACE,swh:1:snp:4a55c90a85ab86740a48d59b87b3e5bcece8828e
34252,https://github.com/sbmlteam/moccasin,swh:1:snp:9d96a171442061884769e0411a28f5f42a4a31f3
34253,https://github.com/multicom-toolbox/UniCon3D,swh:1:snp:825fce36d752408463becd15eaeb7fb935a02f83
34257,https://github.com/raphael-group/TADtree,swh:1:snp:41e5d5722277894f644a9d6759eb31d8eaa8c96f
34258,https://github.com/bxlab/hifive,swh:1:snp:1decc034b1f31b66ef88eb21611c8a02feeb7801
34259,https://github.com/gersteinlab/MrTADFinder,swh:1:snp:9f0ad2bf8c303f54ff0584e7729fd7d9f4db98df
34260,https://github.com/kr-colab/discoal,swh:1:snp:714abaa718bf579c77e0ebea0bc356f034c527a3
34261,https://github.com/delt0r/msms,swh:1:snp:5f22e78fdd4a60714855a8b7b436f9ccb54d70a9
34262,https://github.com/Tolutola/BoostGAPFILL,swh:1:snp:59c06b7c32c341310bfb42a1d69c80f9493e080b
34267,https://github.com/califano-lab/ARACNe-AP,swh:1:snp:721b7ddf9492f4cd5d965928130d87ab1405ec06
34268,https://github.com/pierpal/ARGON,swh:1:snp:a9aabcf06d6c725b1e68cb7b4538e469fd804f79
34269,https://github.com/rabbitpei/HMM_based-method,swh:1:snp:f630ca6f6296f335aa840560b489996084db359e
34271,https://github.com/raphael-group/comet,swh:1:snp:a6018119b6be103a4bca75c9f1474e37f655b01c
34275,https://github.com/raphael-group/hotnet,swh:1:snp:9e8328d00a0fa6f268509f9fe957244a1909ce47
34278,https://github.com/raphael-group/AncesTree,swh:1:snp:79f19cfb1da4c01921ae4ab94ca883a0bdb65ac6
34279,https://github.com/raphael-group/spruce,swh:1:snp:96589ce61ed148b569f6826309ef22bfaf16b78d
34280,https://github.com/raphael-group/CNT-ILP,swh:1:snp:b234a6fc6db52322b59f69035f3be1a925072d58
34285,https://github.com/mwsill/s4vdpca,swh:1:snp:3c1aef385495c11fadde351767a3b538332c55f5
34286,https://github.com/handetopa/BBGP,swh:1:snp:fdc6fd0ca4d59592f286fd486f6ec53f529ac11a
34287,https://github.com/huayingfang/CCLasso,swh:1:snp:3571e30d6f43ca153f676cde534a434591a032ef
34297,https://github.com/soedinglab/bbcontacts,swh:1:snp:09adbf1aa9f645d59c0331f4aded657c18375f1f
34299,https://github.com/biomathman/pycellerator,swh:1:snp:f947a2c4454841f3531ad8195fb870f85e0c5a7f
34310,https://github.com/hybridLambda/hybrid-Lambda,swh:1:snp:65bbd92ab309fbecbff5103502ad6f4bf71143ef
34311,https://github.com/cran/DESnowball,swh:1:snp:31797a5274a03c610b39c48fc5dc5bb07737d005
34312,https://github.com/delphi001/DelphiPka,swh:1:snp:d093ca0afecc64f6a3b9c561e578010b91935217
34320,https://github.com/JabRef/jabref,swh:1:snp:af6b190768b52c87209672bbecd7f2b4e8327d4f
34321,https://github.com/radis/radis,swh:1:snp:0ca0a6a0c6c23448c1b4227bc6b9a65e978fccef
34326,https://github.com/hitranonline/hapi,swh:1:snp:78b8de5d56cde0dae657ce6e37011c07ebf79a3d
34342,https://github.com/pyston/pyston,swh:1:snp:ee98c0b6dd361c80b70d789e542bedcdc72f9ce2
34347,https://github.com/microsoft/Picnic,swh:1:snp:f3fd332cbb6efc6ae1153a4f4d213260ed04f057
34348,https://github.com/LowMC/lowmc,swh:1:snp:646fc2168274cb847cdc80ae4febc6336a3d0739
34353,https://github.com/XieConnect/SecureMA,swh:1:snp:adc58d66627f1cc801243946fdf62811fba4b616
34358,https://github.com/s312569/clj-biosequence,swh:1:snp:56fee22ef327c190c9898a42ac0526ef3d81c39e
34359,https://github.com/dleelab/jepeg,swh:1:snp:6b4477f1e72f12b29aff500035f435e5263d47a9
34374,https://github.com/lh3/bwa,swh:1:snp:9c63b241bf02055fe905933059ce4e09111cd354
34376,https://github.com/genepi/cloudgene,swh:1:snp:304311fc95ec906ad17a32be52eb47f9e85f6f78
34380,https://github.com/broadinstitute/picard,swh:1:snp:2385b2678a6870222bc7123e475bfd9c96c54c1e
34384,https://github.com/rmetaverse/metaverse,swh:1:snp:601703750675b47ba3b052981b428bec93064ea3
34386,https://github.com/pydata/patsy,swh:1:snp:5827a200ac8f04f4d8c8fedd6e83f29209993db5
34387,https://github.com/neufeld/pandaseq,swh:1:snp:24805e185ce16c69f2bf1cf59926b5480479356b
34392,https://github.com/cran/bda,swh:1:snp:dfa3df189540bd5cb57ddcede3b5f9fd615f18d4
34393,https://github.com/marbl/metAMOS,swh:1:snp:fab968c03ac70a0d35e97450dfe24592f8f4d74b
34396,https://github.com/victordibia/anomagram,swh:1:snp:feb99bd5f797c3695b719e8ffc82abcb1697f259
34398,https://github.com/bernhard2202/rankqa,swh:1:snp:7ed90dda3d118b2675a831674d6625c5f6158b49
34399,https://github.com/castorini/birch,swh:1:snp:f956350224fd774456f32c8d24ed521476846ef8
34404,https://github.com/sidorowicz-aleksandra/GrapeReception,swh:1:snp:a2d71d481ad32e0a62309ee54e5544358390bd9b
34405,https://github.com/reagan0323/CORALS,swh:1:snp:4bbe2f979f50766f1dfdd4db5c30d2a6fc03c1aa
34406,https://github.com/fanav/Verification_MMS_Tools,swh:1:snp:e810dbe0d0b42051b1831929697063c01605c4fa
34407,https://github.com/mfmaritz/LogMapBaseFunction,swh:1:snp:c4af7d1787689c5c30e49fa0f1e1a70cc705a20f
34408,https://github.com/hill-a/stable-baselines,swh:1:snp:f4d24f84c1ea6c95d9c192cc7e1d992600d9d407
34409,https://github.com/dilsonpereira/Formigueiro,swh:1:snp:56bf06a46bc2e1041baee1682144f9c119f03c88
34410,https://github.com/tasx0823/EasyMesh,swh:1:snp:f6d976f61fb9d87bbed9fdbb48b24ca8c7dd9bbe
34411,https://github.com/rujekoc/merk_v1,swh:1:snp:d2472d6f00f22e4fba9136207f50fb8d5a5b1f2d
34412,https://github.com/rossisimone/beatit,swh:1:snp:22df10696d6f57a9149955eca3122cdd5167fa68
34413,https://github.com/maximecb/gym-minigrid,swh:1:snp:c5006e58970585ba78b304a4a34d16224a3479d2
34414,https://github.com/thomaseddy/stick-knot-gen,swh:1:snp:68e902866a6485feeaad5c55ae8d219f1ef011a0
34417,https://github.com/bazelbuild/bazel,swh:1:snp:d35c5996a4af6c45cb6479f46e93e0a8db9c995b
34418,https://github.com/grailbio/reflow,swh:1:snp:ed2a8f1be273333fd441fa12626271b5af175188
34419,https://github.com/brushtechnology/fabricate,swh:1:snp:044b2cfe59cd0bcece9fd5632c1b28fb84bccefd
34420,https://github.com/janestreet/incremental,swh:1:snp:116950ee3725d0127d7139c64f1168e2f41c8a3a
34421,https://github.com/ocaml/dune,swh:1:snp:dc46cec220738fb51d4db232894c3dbf7354e39e
34422,https://github.com/ninja-build/ninja,swh:1:snp:9ba74d65706294ae5a34cc6d7ef3baf7e4a60300
34423,https://github.com/apenwarr/redo,swh:1:snp:81760b8c6b87538a5635b2800b6f80cf06ff6b34
34425,https://github.com/paro8929/Resummation,swh:1:snp:42764422a7a824cd548c0047d710d593b41f9a89
34426,https://github.com/JRR3/PBPK-transport-oncophysics,swh:1:snp:c1f7b733d2f5e9ea06c64d29abc54d07363d33b2
34427,https://github.com/KristofferC/NearestNeighbors.jl,swh:1:snp:0ac14c242c72b804db604e370da8ffc64b3755f0
34428,https://github.com/brian-lau/multdist,swh:1:snp:638f340e3f758f4bef017f6f6ecb6985649ded28
34429,https://github.com/brian-lau/highdim,swh:1:snp:75bd2826ba3ef743eaa9afb8686618568fece90e
34430,https://github.com/wedeling/vorticity-solver,swh:1:snp:192ac7d96be950b601a559825a7c4dbeeb77843b
34431,https://github.com/idiazst/survtmlerct,swh:1:snp:cd3cac399a9891e2030889a17071963a4d17cbc5
34432,https://github.com/SeanKMoss/ex-infinity,swh:1:snp:cd0cf0c7e0de4a2a7bea7753e6829c6ae759b134
34433,https://github.com/mauricio-fernandez-l/centralODF-average,swh:1:snp:20a58e4d67fc93d4ee5b1237022773e23b691fc6
34435,https://github.com/tdoehmen/hypoparsr,swh:1:snp:64267576b530dcf7c29b208605cfbf18649a588e
34436,https://github.com/anfer86/dmkd_masterMovelets_results,swh:1:snp:9438f3cd5137dd9ecf1528b206a1fd16ea8f653d
34438,https://github.com/KevinMichaelDaley/nonexistent_ties,swh:1:snp:cc7660025c612f148277dc50279fbe0fb0b1157c
34441,https://github.com/mitre/cpsa,swh:1:snp:1a0576ff03620d8db7e4eb5187a45515a6410f07
34443,https://github.com/BookmanHan/Embedding,swh:1:snp:d61f511e2243743a4e8cb8d0a88c60eb189cfa21
34444,https://github.com/bxshi/ProjE,swh:1:snp:2272ebda02f93e693c774fc3b27ff0f52cc424c4
34445,https://github.com/shh/transt,swh:1:snp:4dfb1902fc3090b2fdf8196feea1308c76d2f044
34446,https://github.com/mingjingz/flappybird-for-matlab,swh:1:snp:c3a1096fa67d1af51f25474a9ef4647e915dfb52
34447,https://github.com/old-NWTC/TurbSim,swh:1:snp:72816435fd3738da393f63b1979f39b5a52021ef
34450,https://github.com/krasko/reflexible_maps,swh:1:snp:b6d1feded6df494a91678068eb100edc0e03db6f
34451,https://github.com/krasko/non-orientable_maps,swh:1:snp:db2fe6a68c83056f5500b02456ceaf121a923b07
34452,https://github.com/krasko/n_o_orbifolds,swh:1:snp:00c93da879319ad8699ba76a0e34c92d3c77a361
34453,https://github.com/krasko/o_r_orbifolds,swh:1:snp:ab14396f203c7cf95953232663ebfa72bbe387ec
34456,https://github.com/jwiverson/central-group-frames,swh:1:snp:208ac890ada9a5fba4b62068843ad814328aac87
34457,https://github.com/mokhtarmohammadi/DOA-estimation-of-intersecting-components,swh:1:snp:6f9f333696cbb32706fe6dd879ef2a152f76b848
34458,https://github.com/fanav/Energy_Spectrum,swh:1:snp:6d64c088aca464e38604275120c7f47024574cc3
36227,https://github.com/cran/pmdplyr,swh:1:snp:b19ab9810fbd4250380bf096afa5f0237be0f80f
36229,https://github.com/johnveitch/cpnest,swh:1:snp:233f39728b353395017aa01a60ee799c8d18d8a5
36231,https://github.com/rkycia/Decay,swh:1:snp:8b5cb05cc6f7525a49a0fd7f63360e1c68b9e056
36232,https://github.com/rkycia/GenEx,swh:1:snp:f5f3c094d788966931896eb35dbfa787ba352bd6
36235,https://github.com/IntelLabs/distiller,swh:1:snp:905eeb08f0e880d90c2468c2771ca95c80484679
36238,https://github.com/openvinotoolkit/openvino,swh:1:snp:e43cf033bf4eb50af1cd4d8c1c9815af2ec34992
36239,https://github.com/Tencent/PocketFlow,swh:1:snp:988472fc29c4165a05ae986eb6c56d25bcd12838
36240,https://github.com/kunglab/branchynet,swh:1:snp:f9b7b7cb805713c8aefd91cb5e0395dee3f9a435
36241,https://github.com/mit-han-lab/amc,swh:1:snp:dce47e40ed6e644028ee1c7f8427c07d5cbfe679
36244,https://github.com/google/gemmlowp,swh:1:snp:cb729d651fe30e328f6574dbf45edff10c1087d8
36248,https://github.com/tonybeltramelli/pix2code,swh:1:snp:4532bb0383e13b210922f3a1dc3bcc7b7aaf4682
36253,https://github.com/nicoballarini/SAS-Macros,swh:1:snp:6a96b28116b19d60b870ef115f7f618ef354ed23
36255,https://github.com/benadida/helios-booth,swh:1:snp:2371168ac66fcc5ce737ca7a2a66db8c93376aa8
36261,https://github.com/cran/PopGenome,swh:1:snp:e68b5e87fab055a99043f4784f74732ba997ef1c
36262,https://github.com/cran/cort,swh:1:snp:408188e0f60f273f90c236a83f79e116791b629e
36265,https://github.com/cran/akmedoids,swh:1:snp:c7b4eaa0bdfb3a7d960c7003eef6c8d9642bd45c
36267,https://github.com/PyHDI/Pyverilog,swh:1:snp:7b0c642f58b809b106c689fbfa51f337fda956c2
36270,https://github.com/hemanthpruthvi/PyAstroPol,swh:1:snp:1452c1c550fa3b8e1e5f00a0d9ab4421d72b7a31
36295,https://github.com/thoni56/ToolMaker,swh:1:snp:be08f5fb942e350c0ab123fc77e885f5708c427a
36327,https://github.com/xiawei918/quadprogIP,swh:1:snp:148d9067c4ce840ce105443dc1c173932dbfe62f
36329,https://github.com/UoYCS-plasma/GP2,swh:1:snp:fa056c01a1b965b089d28a91b7b32dd5b642843f
36330,https://github.com/cran/cellWise,swh:1:snp:cedc787f328a2b97cbb8d856862c0d94cc6a032d
36332,https://github.com/cran/PERregress,swh:1:snp:3fa4a94d2283c7b70cdddd58de5f62883b5b78ba
36333,https://github.com/HyeonwooNoh/DeconvNet,swh:1:snp:7faaaa374bbf06078277262f1a3d2cfddc9c2b84
36336,https://github.com/LoganAMorrison/Hazma,swh:1:snp:f2025d613cc8a07dcbedc81d7d3201861c8bbdc3
36338,https://github.com/Berreman4x4/Berreman4x4,swh:1:snp:9ac3b70b8a70478f6a3c5522ad692d3e34b0c72b
36347,https://github.com/olivierverdier/pychebfun,swh:1:snp:0e4ea820242baca8248275d963e4d999839343c6
36349,https://github.com/ricardoej/dynamic_bandwidth_manager,swh:1:snp:b886f108b76f26832d3fcd11025106798762179f
36358,https://github.com/almarklein/pyelastix,swh:1:snp:401f27ce96980b73e0e800145faedd05afe06224
36359,https://github.com/VMBoehm/MADLens,swh:1:snp:e1a256929eccac7def009d35bf6199ddac7f1800
36360,https://github.com/ANTsX/ANTs,swh:1:snp:87bc5ddabaeb4afd78e43e899fa40b8f3f0cfa51
36361,https://github.com/modichirag/flowpm,swh:1:snp:4f69a59459ad3fad261bd6a12474bfd98715ae5e
36363,https://github.com/pierrepaleo/csg,swh:1:snp:6b804ebf643df2685b2627425b0a1be759fb2f1c
36365,https://github.com/CGCL-codes/VulDeePecker,swh:1:snp:2699bc9ffa9082b50f4a869914500e1558a4ff23
36366,https://github.com/microsoft/CodeBERT,swh:1:snp:194946880e25ab77140cd4c196ef01364f8add1a
36368,https://github.com/ThibaultGROUEIX/AtlasNet,swh:1:snp:c95a2b12449ada604669506de91e9fbf1254cfe9
36369,https://github.com/anuragranj/coma,swh:1:snp:b3e443ab250a6f4a51e03405febef37de3fe7b39
36371,https://github.com/kwwette/swiglal,swh:1:snp:475ecc5efac84a158caa3a023eb70aff2e058bd5
36373,https://github.com/octapps/octapps,swh:1:snp:4eb5d0f04effc1db07d00261ce04459a95353158
36374,https://github.com/cwinpy/cwinpy,swh:1:snp:b06c1b1b95d97d15c52e0e6a24dd745dd1e6454f
36594,https://github.com/ionic-team/ionic-framework,swh:1:snp:d172c17aa23e5589f03a08e4f5847fc66b5f3d19
36598,https://github.com/jrethore/ufreckles,swh:1:snp:9c0d967db98cef7f2b5d1dca641d392f75794b80
36599,https://github.com/waveform80/picamera,swh:1:snp:5f6a72b7c6929db992aa60552c97a7c355784120
36601,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00026,swh:1:snp:3dcc784be67f9f9aa6ea6c3aa9cae0c98475ea70
36605,https://github.com/QInfer/python-qinfer,swh:1:snp:2e1b6cc69b0a6ba29134f92014779449e1cac21c
36608,https://github.com/ElsevierSoftwareX/SOFTX_2020_155,swh:1:snp:3d39d84249159d7c870048ff6192277289021b44
36610,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00056,swh:1:snp:d5294d0696fd0e7fc79c4463dfcc90fc6f49eae0
36611,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00059,swh:1:snp:e205f4396d93fe38d624c370caed346283d967fe
36613,https://github.com/ElsevierSoftwareX/SOFTX_2020_261,swh:1:snp:77cf3d930b87fb4d7556e9953eb416e4f5b0e0b7
36614,https://github.com/dwaithe/FCS_point_correlator,swh:1:snp:ee28dea178f123c52d3a3fb10ad96af0b133dd6f
36615,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00010,swh:1:snp:4c61e47459855148c958aeeb8b7988b4ad3af4fe
36621,https://github.com/alchemistry/alchemlyb,swh:1:snp:72c17653d19ae03222686518812b383e9f7dcab3
36622,https://github.com/msoroush/alchemical-analysis,swh:1:snp:d262151c3222a51666ac6be3a018d1c24568032a
36623,https://github.com/ElsevierSoftwareX/SOFTX_2020_220,swh:1:snp:2a740cfc8adbc07bcc7db57b27eb1c3eb1729164
36626,https://github.com/nutonomy/nuscenes-devkit,swh:1:snp:07fb01267f96045db19832748b0232c3a9d09f5f
36630,https://github.com/ApolloScapeAuto/dataset-api,swh:1:snp:59529e5f6edefaa2506b91f33835b9158781be5d
36633,https://github.com/wkentaro/labelme,swh:1:snp:f55a3865ac6d97ce31c28dbe383f626cb9576157
36636,https://github.com/lyft/l5kit,swh:1:snp:3f134775bf8dee917ae4cd5790f06f233a81372d
36637,https://github.com/edz-o/displet,swh:1:snp:2ea20ab313fd361644c72a6c1fc09672ed3c899a
36641,https://github.com/vita-epfl/monoloco,swh:1:snp:02ebdc4896083b0a841a0e20037c8eeec55abb20
36642,https://github.com/argoai/argoverse-api,swh:1:snp:5de3a3bb044235144b49b5e404edc7d0cc28acd7
36643,https://github.com/talk2car/Talk2Car,swh:1:snp:d4773bcaa5965404f8a301ec4d2658bfb3f39fd8
36646,https://github.com/nutonomy/second.pytorch,swh:1:snp:849f76ebd57f170a61ae4919b61a6e7d6edde338
36647,https://github.com/huang-xx/TrafficPredict,swh:1:snp:b5f1c97adffdc37a912df3298c5dae86d8d28754
36650,https://github.com/valeoai/WoodScape,swh:1:snp:7730c57aee8e3d379adf02e9e5f9632841b125da
36651,https://github.com/pengwangucla/DeLS-3D,swh:1:snp:4f774f360dba37c53e05d6fd3099b718e928f7e5
36652,https://github.com/google/s2geometry,swh:1:snp:aa22b768e7015a8baf5c8056509257e55f5c492e
36653,https://github.com/PRBonn/semantic-kitti-api,swh:1:snp:4cb8f95ae28da23964eaa353c4b326aa2b8eabca
36654,https://github.com/nsavinov/semantic3dnet,swh:1:snp:a8a1b32c9163bb1c65f0dcc25b873beb6dc3cdbb
36656,https://github.com/aboulch/snapnet,swh:1:snp:51a256e9d5cfdde53c62c84dea87844562898ef1
36658,https://github.com/angeladai/ScanComplete,swh:1:snp:55e04ad0a5adf51d0ad43aa666e90f0928ede6b8
36660,https://github.com/xuanyuzhou98/SqueezeSegV2,swh:1:snp:aa8d16f807b8b953550f24221febd6e9819b49c1
36661,https://github.com/screnary/VoxSegNet,swh:1:snp:bb2778dfc460dfafdbd923f79755f7f0776dc36f
36662,https://github.com/tegusi/RGCNN,swh:1:snp:c6daf57418c5d15f6157dd9148ba31a028d26b56
36664,https://github.com/NVlabs/splatnet,swh:1:snp:adf7b11bc2f3c2b2612d5947a6491e7455758b03
36665,https://github.com/griegler/octnet,swh:1:snp:03c884ffb05ef7063f655208c553ed99430d84e6
36666,https://github.com/Durant35/VoxNet,swh:1:snp:efa649c30c3d2da24a989093d1a22933de1c1d3e
36667,https://github.com/interiornetdataset/interiornetdataset.github.io,swh:1:snp:4824968d39cd620beee6d86e9a5aedf3ae5246f2
36668,https://github.com/MVIG-SJTU/pointSIFT,swh:1:snp:d3fd8f3c3278b5bbc91763f569c19a15dd3a7d57
36670,https://github.com/daobilige-su/loam_continuous,swh:1:snp:0e889b32da0029f4513cce25c374f52cbaadb55d
36682,https://github.com/kwant-project/tinyarray,swh:1:snp:15088665725c319254d238f41634524f84290ab3
36685,https://github.com/kostaspap88/scatter,swh:1:snp:d9b320a083101ff766c2a2828a0844c39d9c1e12
36687,https://github.com/heikodietrich/cgroups,swh:1:snp:831d03a4da5e8bf6546100fbec5205ab88998e3e
36690,https://github.com/SNLComputation/compadre,swh:1:snp:4cd8c32f684af13eeea1ece00de06bf9f54219dd
36691,https://github.com/cran/tsutils,swh:1:snp:9ae9143cce282628c0fab119bd754b64cb18477f
36692,https://github.com/cran/bivquant,swh:1:snp:4c8c3504288dc72799210075443413e050670723
36693,https://github.com/cran/microsynth,swh:1:snp:693ea0c06746f8453bfec554040b3f254b5c5534
36694,https://github.com/cran/sbart,swh:1:snp:8d1e536119abde83562b2fc33ea9cbcf5e0469ea
36696,https://github.com/sambrilleman/simjm,swh:1:snp:f3218fd5e9594eeffa1be16daadf4723ac948341
36701,https://github.com/cran/paletteer,swh:1:snp:c8e9ea74dd323bd6f07ff3546690873e6a154e4b
36704,https://github.com/cran/roloc,swh:1:snp:64b109e6a944213d40c895213578c6046bf8bb46
36713,https://github.com/sevvandi/outselect,swh:1:snp:91dcbb3bddf58fa34bdb8e61d48a3087b8987153
36718,https://github.com/cran/collpcm,swh:1:snp:de92f77a4e02bd13df13a32a41a49ccd274512ce
36721,https://github.com/cran/gimme,swh:1:snp:03ce2edd443fdaad3f2e43ae21bb6514fd7b29a5
36724,https://github.com/cran/aws.s3,swh:1:snp:fc7b3d15661df776145e821cbc34be5decad6d2c
36726,https://github.com/cran/DiffusionRgqd,swh:1:snp:ccfed877005d7fad96ac9f763704d5bb780904ba
36727,https://github.com/cran/DiffusionRjgqd,swh:1:snp:4cf8bc8ab537fd9d3fa1333f2cb761f069a33426
36728,https://github.com/cran/bivariate,swh:1:snp:7805a758e9736b05ba2164f4e98730fa80e14d92
36731,https://github.com/uberparagon/mgn,swh:1:snp:6e9d4128140ea9fc091a9d1ff362de9d8be50de2
36732,https://github.com/sagemath/sagecell,swh:1:snp:9d11c1dd83c57c715ede823c0e252fc3e5b9ff21
29419,https://github.com/hahnec/plenopticam,swh:1:snp:3adacee529708d3f6b76986a807cbcce4e351722
29420,https://github.com/ElsevierSoftwareX/SOFTX_2019_14,swh:1:snp:3abd8d089c09ec802efece934c22e73ea8b9be05
29421,https://github.com/ElsevierSoftwareX/SOFTX_2019_13,swh:1:snp:a7333fedb15555abca9d955fdd92714a79f97923
29422,https://github.com/ElsevierSoftwareX/SOFTX_2018_246,swh:1:snp:67b0363f66cb033c960c8b553d11172a1836e061
29425,https://github.com/ElsevierSoftwareX/SOFTX_2018_261,swh:1:snp:5ce3dc916916c71551ea19e3d816a616ac0ebeac
29429,https://github.com/ziqizhang/sti,swh:1:snp:9387611803f3b6290fd0f2e7d56ffa016592893e
29430,https://github.com/chrissi007/DeExcelerator,swh:1:snp:48e95a8f96c51ad56392b71164826be8faf23388
29431,https://github.com/elviskoci/XCellAnnotator,swh:1:snp:4d9c8cc62c413a82e7f355bcf09837d797bf64a3
29455,https://github.com/dwkim78/upsilon,swh:1:snp:39ed8c47e691e2cc131f655e421376ce0c0c3d45
29457,https://github.com/MachineLearningControl/OpenMLC-Python,swh:1:snp:e89bc24f5edc6039dfc21cd1678fb80ff456d288
29458,https://github.com/JBrenn/SWCalibrateR,swh:1:snp:27aa638cb6abf45f4e406890394870adcb7a0637
29462,https://github.com/VACUMM/vacumm,swh:1:snp:afe7c74626db5f270b2db64f79913e44429d9d8c
29463,https://github.com/ESMValGroup/ESMValTool,swh:1:snp:190c27b25f4409369be682404c6bbe72d6810a37
29464,https://github.com/cran/RNetCDF,swh:1:snp:387d3e0d2823698f536e4c6725bb5cb0acc31472
29465,https://github.com/cran/RMariaDB,swh:1:snp:ae11b8d54358b77219e8c82c7e8a46f22ab5418b
29469,https://github.com/ajdawson/eofs,swh:1:snp:e2437594eba559d484c2ef4654ba8c8c4de7e30c
29470,https://github.com/Yaqiang/TrajStat,swh:1:snp:321a9def4d274636caefaec17ed7dcbcd33f0613
29472,https://github.com/meteoinfo/wContour,swh:1:snp:73b555d83228621f02e4607c00e75220d8af63af
29475,https://github.com/tammasloughran/PyClimateUpdate,swh:1:snp:89cf5541293183dd90f4a2cd3b7ae4c11e0f84bb
29481,https://github.com/erp12/pyshgp,swh:1:snp:290ff6f00201a06d57d5b4159fbf36a763dc697f
29482,https://github.com/lspector/Clojush,swh:1:snp:4bf97b7dbf8ab70809c2a729f4abb3d2c00d7097
29483,https://github.com/51alg/TerpreT,swh:1:snp:b714e1171ccfa9e77d4f1e6474c2ef1f97139025
29486,https://github.com/lacava/ellen,swh:1:snp:d968554288c85a32ad7d1ba8f3b1d194836cf00b
29490,https://github.com/kstaats/karoo_gp,swh:1:snp:83992a9129b2549a4647337b3cf2f4af726e3566
29491,https://github.com/nvihrs14/tcherry,swh:1:snp:e147e351d0822c43210112e22bdd01cc8d0fea0f
29492,https://github.com/xin-huang/SeleDiff,swh:1:snp:47adcd7f5b2482822a8a9780e003d5e8d96954a1
29493,https://github.com/TDAmeritrade/stumpy,swh:1:snp:816a047a83d6bde9ecef5fefda5b65a8ec20eaac
29495,https://github.com/ECRL/ecabc,swh:1:snp:fb6baafef21a900583e0519a4875364e046875e0
29496,https://github.com/anbena/4p,swh:1:snp:6cef9c4aafcdf4b3ad5d27b71bfeca49309a52e3
29497,https://github.com/MesserLab/SLiM,swh:1:snp:a11fae2471f396cc265e439fd6ef7034ecb361a9
29498,https://github.com/szpiech/selscan,swh:1:snp:5b4193d38fe252f0d0b3dbdcd6124f1a3b98c5e5
29499,https://github.com/IBT-FMI/SAMRI,swh:1:snp:548e83199089b701a9439caa724986656a639f0a
29500,https://github.com/ECRL/ECNet,swh:1:snp:59db847093520595701ecd31afa9f96e4f3cad66
29501,https://github.com/USCbiostats/fmcmc,swh:1:snp:4b952ef524c847c6398a303d50a57348171584a4
29502,https://github.com/cran/fitODBOD,swh:1:snp:2f82102740bb13b35b5710b1e7daa9580a6c3509
29503,https://github.com/matbesancon/BilevelOptimization.jl,swh:1:snp:e0958589fe3d144a0b61c709ed79c4ca36d19a8f
29504,https://github.com/NBISweden/GUESSmyLT,swh:1:snp:365639f34b31e63abb8e4c4f0a750036390e52d1
29506,https://github.com/ElsevierSoftwareX/SOFTX_2019_66,swh:1:snp:c971443fdce97259693245e9a449b0a7541f5559
29507,https://github.com/ElsevierSoftwareX/SOFTX_2019_142,swh:1:snp:b2a584cc528ff670981580ae47b015f9b8684e8a
29509,https://github.com/ElsevierSoftwareX/SOFTX-D-18-00011,swh:1:snp:2535824f7e7fcb12de5a1dfea9fdd26269aba2d1
29510,https://github.com/ElsevierSoftwareX/SOFTX_2019_69,swh:1:snp:7ecfed1ba94c0ba06a6b592b5ddaa921b9955daa
29512,https://github.com/scikit-beam/NeuNorm,swh:1:snp:e5e0bac2f6ef50682395e477d2dc54ce5fac5bd9
29527,https://github.com/asuiu/RoWordNet,swh:1:snp:8d2e59e91dabfdd5b227d9c8a7e6751e7bec29e5
29555,https://github.com/ornlneutronimaging/ImagingReso,swh:1:snp:156c2b603c38ee2969286b9dd84253677ed601cb
29558,https://github.com/neutronimaging/imagingsuite,swh:1:snp:201f9991050e22139829529bcd735d2a946e32e1
29559,https://github.com/Geodels/bioLEC,swh:1:snp:b9f27e05180b5475ed07680dba1290ae7d57df11
29566,https://github.com/StantonLabDartmouth/AppScanGEO,swh:1:snp:404a5f1195290937cd90de4fb82be65d9c7a12b0
29574,https://github.com/sfu-compbio/mrsfast,swh:1:snp:e59f8946e7b55b24098418d5c4c9bfb9c1f8b498
29583,https://github.com/lpantano/seqbuster,swh:1:snp:ba2cb89d10a7e532bf6c933a169f56c79e3539e7
29594,https://github.com/stamatak/ExaML,swh:1:snp:f962ee162c95342cd584bc1ce77f8422d32d4808
29603,https://github.com/UdeM-LBIT/GATC,swh:1:snp:5c77910b98e0be9ca977ee52c783bdc7b82b8703
29605,https://github.com/dtneves/SuperFine,swh:1:snp:56ee0dc00490eac50b8435612f39332a813dc2d1
29612,https://github.com/ekmolloy/njmerge,swh:1:snp:e732039c5f1163090863d500742a4f8dd5a74ec5
29618,https://github.com/pranjalv123/ASTRAL-SIESTA,swh:1:snp:dfe53203f3de5d1f2b93695446883596129c9ba1
29619,https://github.com/pranjalv123/SVDquest,swh:1:snp:403d41e6e7e5a32d44115fcd17260ecc318cd252
29628,https://github.com/solonas13/maw,swh:1:snp:63fa601bc335fe6e67a8954612774173b3bb0a06
29631,https://github.com/laurent-dinh/nice,swh:1:snp:cbad931accb87170559a60a49528cffe247a78b8
29632,https://github.com/jhjacobsen/pytorch-i-revnet,swh:1:snp:47d358563ab31cc275a325742b474df009239b46
29633,https://github.com/brmather/pycurious,swh:1:snp:b26a6321ed65f9768da225507843038f97e9f8dc
29634,https://github.com/groupeLIAMG/pycpd,swh:1:snp:b7f8fe2c9af6c179370d8fb6590d02f06bce9d4a
29635,https://github.com/fatiando/fatiando,swh:1:snp:667e59686288c333aa1f5641cca38d5008dc3a46
29638,https://github.com/mmhs013/pyMannKendall,swh:1:snp:cacd8ae37f9466b83216da02d184c29dd80fb44f
29653,https://github.com/YakhiniGroup/Methylation,swh:1:snp:79c0ee552b78c8280bd21724fcaf304be62425e6
29655,https://github.com/cwright7101/mulksg,swh:1:snp:e3c2a7141a5a3a716fe86e0bfeeb69cfeb9eb853
29663,https://github.com/pblischak/HyDe,swh:1:snp:abb81e55bd1351035fa06684ecb16faaa1aa9421
29664,https://github.com/chilleo/ALPHA,swh:1:snp:dff96b2c3a08a6c80e63c45de131e8e99c30c439
29667,https://github.com/crsl4/PhyloNetworks.jl,swh:1:snp:0a79fd1a436c5b9ec710d9b61ca5fa7741514407
29688,https://github.com/sys-bio/tellurium,swh:1:snp:e05f716a66394b42aeb7c1d3ec9b230867dbf57c
29692,https://github.com/cyinbox/NGS,swh:1:snp:7a7bac645c30ae96966275a31bfe84bee364ea66
29693,https://github.com/Fabianexe/Superbubble,swh:1:snp:b0de694e952295a47c8cbd25fed24c14129b5c77
29694,https://github.com/heejungshim/BayesCAT,swh:1:snp:2640d08cd3f0ec37fa60c2d4b61956b31e81fbfc
29697,https://github.com/kcordwel/Integer-Complexity,swh:1:snp:79b9a99d22ab15a452782dc42996135e3894b3d5
29698,https://github.com/klkeys/proxdist,swh:1:snp:3ef9ab79740b4336b71a7e6dcd53c3e7de9fc4da
29699,https://github.com/ucrbioinfo/OMGS,swh:1:snp:e58f661e28f2958c19e703fd6d50bc3e4beafbfa
29703,https://github.com/yechengxi/DBG2OLC,swh:1:snp:75de760ef0dcb2f315a064365636209154be54f2
29704,https://github.com/mhgharieb/Integral-Bel-T-256,swh:1:snp:7e927f90ea61b3307bdbd6e3a667e842588a2630
29706,https://github.com/skarati/Connecting-Legendre-with-Kummer-and-Edwards,swh:1:snp:6099f242bfd3c8340f0abef797e08450314ee21b
29707,https://github.com/blei-lab/dtm,swh:1:snp:5c48fffab4ea2205f8d58dd4943139743068637b
29708,https://github.com/joyxqwang/sparse_lowRank_regression,swh:1:snp:bf53d65ff135637b029b138677b454f2ce7299a9
29709,https://github.com/GuillaumeHolley/DARRC,swh:1:snp:9f81ec9f899ee2600f3f4b991536d2380d8698f3
29710,https://github.com/facebook/zstd,swh:1:snp:06b6a39503b3d805fc674dc6f1d069ccfdea70f5
29711,https://github.com/alekseyzimin/masurca,swh:1:snp:0feac1a702bf8a994c2699a271497b05d3f3f80d
29712,https://github.com/iocenter/remso,swh:1:snp:fbd83cad7f8523994135d15187da9c44553d9048
29720,https://github.com/pmelchior/proxmin,swh:1:snp:a03de269e7e498013866ad6c7621c7cd5fe672e6
29721,https://github.com/artivis/epnp,swh:1:snp:d4ce01a8aaa08003d5afa84625b252f2501f23f5
29742,https://github.com/moble/spinsfast,swh:1:snp:c6f5243df957f590cb053ac545f204d66a3db6a4
29748,https://github.com/eth-cscs/abcpy,swh:1:snp:d8aac9ef83575cb201e50473a37a90311f25f7bc
29751,https://github.com/ElsevierSoftwareX/SOFTX_2018_9,swh:1:snp:5e49c917615463ca0102e3170bcac585670ca4a6
29756,https://github.com/jsnowacki/xppy,swh:1:snp:b7103dc6cace289433a13f3e02ecbd1b475063c8
29757,https://github.com/chuanma/STSLib,swh:1:snp:0996bd496b6ecff810c7b55ddc50b1930f57b1da
29758,https://github.com/ot/succinct,swh:1:snp:27c942bb235d18f5559a193e9b30813661908bb7
29759,https://github.com/EconForge/Smolyak,swh:1:snp:d82ecce016abf065b30b9517f264a196766d7097
29761,https://github.com/herbertbay/SURF,swh:1:snp:823b7fae8c2024af118e9cd93af5da51df66d586
29762,https://github.com/kikohs/freak,swh:1:snp:0d393dde4d0515e1da2b511a421f6910873a1ecb
29764,https://github.com/kornerc/brisk,swh:1:snp:fc00167cb0318e323fa6eed2e7b124b0047024c7
29766,https://github.com/nebneuron/clique-top,swh:1:snp:125e0c5c3e30a291d9fd3b6fff9e5d051b9b7f39
29769,https://github.com/cran/gsrsb,swh:1:snp:a351949930764bf8f8a2ab1aa240a2fe21746ed5
29772,https://github.com/uw-biorobotics/IKBT,swh:1:snp:45f89ec3633016414ffcfd6b64320092e715a678
29781,https://github.com/hippke/wotan,swh:1:snp:89c74d4ba580ba91ecaa2e645fdc7ac659a4721c
38868,https://github.com/facebook/zstd,swh:1:snp:06b6a39503b3d805fc674dc6f1d069ccfdea70f5
29613,https://github.com/tandyw/datasets/,swh:1:snp:8b3574ec3f35ad59470a3ac31d060b191f527f4c
38577,https://github.com/mvgorcum/Sessile.drop.analysis,swh:1:snp:6706c03f2d45862ad34add27e281fddb26fc02bf
38580,https://github.com/astropy/astroquery,swh:1:snp:ed0d0dcb84d15b7cab8469a1ee859ed73db6b7f9
38582,https://github.com/Illumina/strelka,swh:1:snp:7f58bfb990a6403342d03b7abf020979d1dfac73
38583,https://github.com/fillassuncao/fast-denser3,swh:1:snp:bf39da4b3999cebf83e4f45a81b66a235dfcd173
38584,https://github.com/ElsevierSoftwareX/SOFTX_2020_47,swh:1:snp:de2532b0f7550beb2fb4391c53c307ccc6ae26ea
38585,https://github.com/ElsevierSoftwareX/SOFTX_2020_43,swh:1:snp:da67cf2ae6a23019b87181baaa9146db17c05dad
38590,https://github.com/ox-vgg/vgg_face2,swh:1:snp:c7b64dee3bbbbae437c50bdb855d11a6420296c8
38591,https://github.com/YaleDHLab/pix-plot,swh:1:snp:01671cbeb8d4e9c9fd3bc9c75c94377c83f36b18
38592,https://github.com/ymocquar/HOODESolver.jl,swh:1:snp:3df6c6a12d5143091177feecf3caa9d12485e960
38594,https://github.com/cran/R.devices,swh:1:snp:9a9f68cb53b9af7a1a8d82d9fbd4b0bc30d388ed
38596,https://github.com/cran/statsExpressions,swh:1:snp:b3da08a347aff8c86710f0dd45ca2c98c631ea5b
38598,https://github.com/easystats/easystats,swh:1:snp:3ba4497830943811d596f4fd056d51944ffed1e1
38599,https://github.com/cran/FielDHub,swh:1:snp:00cdccedeca1d3d0b82fe30d38cc8ba3b3532a88
38600,https://github.com/SMTG-UCL/surfaxe,swh:1:snp:0f23e17171c2563a6742ed374adad87e1932afd5
38602,https://github.com/utf/bapt,swh:1:snp:afee494a08490220e0a6c2c3981394654ab3f7e1
38603,https://github.com/WMD-group/MacroDensity,swh:1:snp:d799f391ae982a3408541948f3ad3f4cbe78f0be
38604,https://github.com/mwestneat/MandibLever,swh:1:snp:9ca50adb287f2d62b35a84da88940fd5ca82027d
38605,https://github.com/HoseinT/BAMSE,swh:1:snp:f4578f4d7f4969691a85f6e652d407074ff824e4
38606,https://github.com/hshindo/LightNLP.jl,swh:1:snp:450c586776999dfef308c07ee6dce13a8a6a5d79
38607,https://github.com/peterkovesi/ImageProjectiveGeometry.jl,swh:1:snp:c143a69f25cb3497a951b502b975d45a19e505d7
38608,https://github.com/FluxML/Metalhead.jl,swh:1:snp:bb5766f09f184def886d1fd1a61f9b1a80157feb
38610,https://github.com/malmaud/TensorFlow.jl,swh:1:snp:1ac23118332625a676c0466f2a937dbb980f6614
38611,https://github.com/jiexiong2016/GCNv2_SLAM,swh:1:snp:605977075d422e7b832b7b56958103d6c7f6986b
38616,https://github.com/AmebaBrain/GmmFlow.jl,swh:1:snp:629b515a626999e70cb4f9db90e61e7514fd036d
38618,https://github.com/albertopessia/Kpax3.jl,swh:1:snp:2c163c865d03a2c4ebe1ec76d4f21dd00875fccf
38620,https://github.com/EESI/Fizzy,swh:1:snp:eec23d506d4e8cc8bd23a7754f51173f92724007
38623,https://github.com/quicksilver/Quicksilver,swh:1:snp:a63e0a65c40d3f826a748315b632f3ee8683565f
38780,https://github.com/tomalrussell/snkit,swh:1:snp:9df830a860315fc7f0e22c55e49722896a85511c
38781,https://github.com/pysal/libpysal,swh:1:snp:f9297e5d36cf4bd3a3d9b63eeeac5f90f123c859
38783,https://github.com/angelosalatino/CliquePercolationMethod-R,swh:1:snp:a6d965a57c4e19c3acf88857cd1d395353cb1dda
38786,https://github.com/scikit-hep/pyhf,swh:1:snp:b9816e9cd178c6a804d3dec5ca7ab052f61709fe
38790,https://github.com/zhykoties/TimeSeries,swh:1:snp:24bfc2e92a604309267322639d929be26ca9b34d
38794,https://github.com/pmontman/fforma,swh:1:snp:d856b0e08201e13aafe6c883a396c81edb73ad5c
38795,https://github.com/ibab/tensorflow-wavenet,swh:1:snp:2c1ad863e7be6179e478199f0e24c3c93115b3d2
38797,https://github.com/cran/CreditMetrics,swh:1:snp:b4c760f05fe7d3cface52ce2ed397a005272aa60
38803,https://github.com/fitbenchmarking/fitbenchmarking,swh:1:snp:61e99d461736fc0013ba8fc368d367f70610bf7f
38805,https://github.com/benchopt/benchOpt,swh:1:snp:e1240638cb23d845967081dddc4399ca12b311c2
38806,https://github.com/Jammy2211/PyAutoLens,swh:1:snp:a154c4f7238ad2906463b456cefa0faae7afe6cc
38807,https://github.com/davemlz/eemont,swh:1:snp:06ae1468f980d990d8d96d87da78fe8e3a74a691
38811,https://github.com/jspilker/visilens,swh:1:snp:9e9ac3d87a354ebd4060f83fbb09fe8b9039ee4e
38814,https://github.com/giswqs/geemap,swh:1:snp:12c0c017f8d13d649633977c5a8795651c75f669
38815,https://github.com/KMarkert/restee,swh:1:snp:32ecc39d85c679349224399a7c3c478d60866887
38816,https://github.com/gee-community/gee_tools,swh:1:snp:c6f22709f8f544dbc210f5d56c3dcc97bf6a9b09
38818,https://github.com/jupyter-widgets/ipyleaflet,swh:1:snp:619a11f48f9c469e867b733f1cdebd651d9c64d8
38819,https://github.com/jupyter-widgets/ipywidgets,swh:1:snp:65e3e765fbf0b6923d1d91a485d119509c5067da
38820,https://github.com/python-visualization/folium,swh:1:snp:d025c653a106177584bd9aa9eaa37107db9fbb13
38821,https://github.com/Jammy2211/PyAutoLens,swh:1:snp:a154c4f7238ad2906463b456cefa0faae7afe6cc
38822,https://github.com/AshKelly/pyquad,swh:1:snp:cc186f7c156928084e5fb9eb004ac7f398ac09af
38824,https://github.com/Jammy2211/autofit_workspace,swh:1:snp:acabac70cff763e4a3c15b89ae94bf15f2a2d504
38829,https://github.com/ppliuboy/DDFlow,swh:1:snp:a3f8a4a10cb10b9df2783be8d94b857479664c4b
38830,https://github.com/NVlabs/PWC-Net,swh:1:snp:2d4d5422d3395c2b4c17362065565c6ff92a341c
38831,https://github.com/simonmeister/UnFlow,swh:1:snp:41961b25409bfcc49a3fd58303fce1a36457ac14
38832,https://github.com/twhui/LiteFlowNet,swh:1:snp:87b4a23b1889085d21e3f40d3c31ed04ac1f1c5e
38839,https://github.com/cran/rcompgen,swh:1:snp:03b4a9494a94763b6a77dc0104a24a84c97bef86
38840,https://github.com/taylordr/supracentrality,swh:1:snp:ac67a0d473a4f4198b2be71e8309c9c1ced8f115
38841,https://github.com/IgorTo/rbf-fd,swh:1:snp:9fbf5e27c1d70aae52facba635c30b224c67329d
38842,https://github.com/noxrepo/nox,swh:1:snp:6336e67ea6bb1c49395f06dd13b149f4076ab741
38846,https://github.com/floodlight/floodlight,swh:1:snp:fdee6d496a4a69e8c9468c62c931f8b27803b898
38856,https://github.com/JosephPB/n3jet,swh:1:snp:f47c492acb3f662fa268c6bc7b55c93a37b6d99a
38857,https://github.com/SydneyOtten/DeepXS,swh:1:snp:9083c7989afedd78202de46d3d0fcc84c6a2bf57
38860,https://github.com/sivaven/Metastability,swh:1:snp:499cdc294533a39c2adccb6ddbb76dc7236e8149
38861,https://github.com/ndag/PHoDMSs,swh:1:snp:05d0e821ceb53daad9c5f83cd1d8da2d29c81fee
38864,https://github.com/parkseo7/KuramotoPlasticDelay,swh:1:snp:0e5e0f2235cbce9414d6b2f9bec08daa7ae2a0b6
38866,https://github.com/google/brotli,swh:1:snp:ce42ed36d69ea47791c4f449443e9f8c6c45955d
38867,https://github.com/hubsw/FRESCO,swh:1:snp:aa9fac82fcdceea4c087e7c80d8ca7be39b40336
38869,https://github.com/wenjinxuxu/averaging,swh:1:snp:73052bd7eb65ad954939eb1965993e176c56b218
38870,https://github.com/matthieumeo/periodispline,swh:1:snp:5108aeb8c51e2d2efe95cffd22533c067ab98bc7
38871,https://github.com/KyryloSnizhko/top-geom-meas,swh:1:snp:1ecd47a7456195a025cdc7d69f3533da8397f4ed
38872,https://github.com/codrut3/wronskian-hermite-polynomials,swh:1:snp:74c3b2ba0bb7db4bfb044bf95bf2a9dc13a2029b
38873,https://github.com/philippemiron/pygtm,swh:1:snp:1f181223053a5bcf95fe109ff61f893070c27b83
38874,https://github.com/laurathesing/infCS,swh:1:snp:7b69ddb4c6f62a2b7e804545c35fee16eabec0e3
38875,https://github.com/vegarant/cww,swh:1:snp:569ac161a3ed04ec757884f05ae579de8f43384a
38876,https://github.com/SPOCKnots/pyknotid,swh:1:snp:8e1ea76942a009a64805df26d3f73b9cbc930fd8
38877,https://github.com/BenjaminNoyola/Melting_Ga,swh:1:snp:2e0bd23e0d16a7b2a761a2d2aa502daeabde4c2c
38880,https://github.com/Grantcheng/Extended-GC,swh:1:snp:3609b10a0ffb93f5457919a59749b3334dd1e2a8
38881,https://github.com/cbpark/mantler,swh:1:snp:cc546cfaf0470d2efbefd215de01c59274db7cc1
38888,https://github.com/mattmcvicar/SuMoTED,swh:1:snp:2cae992139eb8ad883ea5a8682d9fa82d52669d2
38890,https://github.com/numpi/cqt-toolbox,swh:1:snp:25da255ef65871c5e361310cac5eb5602bc05685
38891,https://github.com/tabatabai/knights-and-liars,swh:1:snp:8538595205ac534d53600c883a9c84bd7550119b
38893,https://github.com/SoleneHC/CBPM_curvature_and_cell_guidance,swh:1:snp:bd55993635f0521256100ce15713b02e29602f0b
38894,https://github.com/amal029/eha,swh:1:snp:1cef9a8d9c6ee728a44090e2f45821cce1d0b6a4
38895,https://github.com/andikleen/pmu-tools,swh:1:snp:f168fd0431637474c91a9a11e61dcdadc21b1409
38896,https://github.com/leonid-sokolinsky/BSF-skeleton,swh:1:snp:dafc3f4e7f1f8db10ef037d0fcc9712e7a9973c2
38900,https://github.com/leakec/tfc,swh:1:snp:61c79d24cfd5c8e845762cd587597636d8888497
38901,https://github.com/sepandhaghighi/pyrgg,swh:1:snp:5e351895555f1180d7376cd532568fdab2331b96
38902,https://github.com/jccriado/basisgen,swh:1:snp:81787a91370893688119ff505333b6f3738428e3
38903,https://github.com/EFTMatching/STrEAM,swh:1:snp:c235ffbcafad3eb338bf614a80c2f3ef355d7713
38905,https://github.com/tudo-physik-e4/EFTfitterRelease,swh:1:snp:8c6ab7ea4c64dfd752214805719aa2ce0c647225
38914,https://github.com/tandyw/datasets/,swh:1:snp:8b3574ec3f35ad59470a3ac31d060b191f527f4c
38915,https://github.com/meringlab/mltreemap,swh:1:snp:0f3ed7aa790ca8be47c46cf91aca7da29a7e41c1
38918,https://github.com/eclipse/mosquitto,swh:1:snp:9f15fda6242726f09ecd093b474d642b6013d040
38920,https://github.com/MatthiasRost/topologyzoo-treewidth-analysis,swh:1:snp:d91cd997d4bb449ee03789a34277f7eea23c22f8
38921,https://github.com/vnep-approx/vnep-approx,swh:1:snp:21ded53ac0f7ee1c743278e361b46a5f20d697b7
38923,https://github.com/TodorBalabanov/Rubiks-Cube-Genetic-Algorithms-Solver,swh:1:snp:1d3564092a4604a9d7c1b78e5ffa6b63a3b75a1a
38924,https://github.com/deib-polimi/PuRSUE,swh:1:snp:da3fa8b38c7cd5b52404382b0952ff94e527073c
38926,https://github.com/pyphs/pyphs,swh:1:snp:1e9a25c2eff53d21efa1bf013a165db27899a60a
38927,https://github.com/jleuschn/dival,swh:1:snp:01dd61b58ce6286dba61213336d3b3d226317bd9
38928,https://github.com/sfu-cl-lab/FactorBase,swh:1:snp:50499d655bfcead3228e383747b75eaf0b6f276e
38930,https://github.com/Blosc/c-blosc,swh:1:snp:95de79359a24833126cb2d96d484968d94e840c8
14660,https://github.com/cran/Expectreg,swh:1:snp:29eda25128c6ee2c197c86b554fed07fea7eda94
44783,https://github.com/ki-tools/growthstandards,swh:1:snp:bf1fcd8685254494063c51305b0fec2dc7fc712e
44776,https://github.com/cran/multinma,swh:1:snp:46be35d1de5dedb9e0e78e032a919c43d93ade07
44775,https://github.com/cran/bnma,swh:1:snp:b6441fdec08ef43288aba50d18724b07f612fbbd
44764,https://github.com/quantumlib/ReCirq,swh:1:snp:5fff592db69daa0bce83c81a6083ef25b77a980b
44760,https://github.com/rpmuller/pyquante2,swh:1:snp:bed0af676e046b57849fb24cec41bdf630cdca93
44751,https://github.com/MFSJMenger/pysurf,swh:1:snp:5da96ce4f03e58c28b7b63687c5ca833bbec1535
44748,https://github.com/cran/SubtypeDrug,swh:1:snp:b2e8ca002bab43765da8455c8c9dd079b9d1ea85
44747,https://github.com/rmalpica/PyCSP,swh:1:snp:78f8bba7f190b4755a538b9993b7df9577f647a6
44704,https://github.com/hayleyjm/FLRWSolver_public,swh:1:snp:b2c11859061785a5b5dd52880547b6ac44a26a5e
44700,https://github.com/lucidrains/linformer,swh:1:snp:a9754d1d0c20faca2017a728ca5dc148e5cf060c
44690,https://github.com/taynaud/python-louvain,swh:1:snp:c0f73e30510d5d88a7b5823d88162b58ed015bb7
44687,https://github.com/tiagoecmagalhaes/PyWolf,swh:1:snp:83141c7072fceeb4e4e1a0531cc825aeb2577acc
44671,https://github.com/bbopt/DMultiMadsEB,swh:1:snp:1fd059455c840d0404bcd3c0f0597e6267abbfb2
44668,https://github.com/Interactive-Intelligent-Systems/diarg,swh:1:snp:430dceb54e56ebda50760dbe2813f32a5a5f7209
44664,https://gitlab.com/tnl-project/tnl,swh:1:snp:a3fb090c8691cff1a07a379ae12648c865068de4
44663,https://github.com/LoicMarechal/GMlib,swh:1:snp:ef64eb8412b7b04c42b99ccb8b67c1ecf1a5eed4
44659,https://github.com/otrecoding/OTRecod.jl,swh:1:snp:a32e17dfc688b2f26a4483151e42b33412c1ebc2
44658,https://github.com/JuliaArrays/FillArrays.jl,swh:1:snp:bc8ebc5ecaa94a93ae6f5a3f8093426528459c8a
44657,https://github.com/Ferrite-FEM/Ferrite.jl,swh:1:snp:f30ac0c40db799861928070535f3361463e86270
44650,https://github.com/patrick-kidger/diffrax,swh:1:snp:dc4732f834a9f4fe0f08bfdb0d519d64b9ab220f
44649,https://github.com/SharmaLlama/ticktack,swh:1:snp:61ce4061bc617e8e4b4da96db7b8a2d08b610c4f
44648,https://github.com/mmonajem/pyccapt,swh:1:snp:936aec2d74100cc8ba4379eeb6d3b6d627667a13
44643,https://github.com/thackl/gggenomes,swh:1:snp:83497e6fb528a10bec89ba7f1be8fc275fda9ce2
44642,https://github.com/moshi4/pyGenomeViz,swh:1:snp:6175d9d7ba52cfcf0e20db7e13e0178d97c89882
44641,https://github.com/Robaina/Pynteny,swh:1:snp:472817dfb0948f9449735e912d70d8ae4b024612
44639,https://github.com/Aarhus-Psychiatry-Research/timeseriesflattener,swh:1:snp:fc1ed8c8e0e579d71550b550c96dfbcc6fa91af4
44638,https://github.com/cran/torch,swh:1:snp:fa0f3b30aec44f770a00887b11421ed7ae0b9636
44636,https://github.com/cran/brulee,swh:1:snp:f26faf538c282503e6e5597a9380c7457ea86aba
44634,https://github.com/cran/crctStepdown,swh:1:snp:e6665da68781560fc15eb766b5252c146d30cc0f
44629,https://github.com/cran/SparseChol,swh:1:snp:594bfd6e7ed32241339998bef176ad130502b328
44627,https://github.com/cran/glmmrOptim,swh:1:snp:1f792591250406f3d43958083fabe7ecde95c7c6
44626,https://github.com/cran/glmmrBase,swh:1:snp:437ccc26ded593a122e3ca2929600db49f7a7551
44191,https://github.com/sgrubas/NES,swh:1:snp:cced4cf55792e08fc918e205b0d077509c285508
44188,https://github.com/N-Wouda/ALNS,swh:1:snp:6275a6260a0c4f13b5544dfe2ec354c4878e79ae
44187,https://github.com/QuantumBFS/CuYao.jl,swh:1:snp:95dc947e3d21c27c61b57c227b0ad37fb5167ab0
44186,https://github.com/HQSquantumsimulations/PyQuEST-cffi,swh:1:snp:1b440edcefa46c34be959c5d9515ec6f16c0fbe2
44183,https://github.com/Jutho/KrylovKit.jl,swh:1:snp:646bb5dd0a9fd1d94a79b1ae6e191649463341d8
44057,https://github.com/IBCNServices/pyRDF2Vec,swh:1:snp:a29b0475c9d68a6621fe98427c97cef3e25d66d0
44050,https://github.com/cu-clear/verbnet,swh:1:snp:f81f4e4cfd80fe799b2f8d0b5c53cdf99fac48dd
44039,https://github.com/Totoro97/NeuS,swh:1:snp:dadc74582764ab666a3068cf9d967538a2220137
44026,https://github.com/m-tassano/fastdvdnet,swh:1:snp:f4ec923d1629336903493c7b653446fecf74cef0
44010,https://github.com/naver/r2d2,swh:1:snp:39e9677fe80d1a989019d2ef7e2c7bffff90b8ef
44006,https://github.com/zju3dv/pvnet,swh:1:snp:a39f4647b20ef341fe223f44df63911e0554503d
44005,https://github.com/google/hypernerf,swh:1:snp:8a8e23e804c6321bc78a24b5e9884015b4f56cf8
44000,https://github.com/dolthub/dolt,swh:1:snp:61511ade87c911154500ec5a41e5e6f5a6ffaf40
43994,https://github.com/fuzzdb-project/fuzzdb,swh:1:snp:3e2941c6f9bab033ab55fa34260f10e582195379
43991,https://github.com/meelgroup/bosphorus,swh:1:snp:0673cb2f25400659eab1da0e40e6595c748cf483
43972,https://github.com/google-research/big_transfer,swh:1:snp:c6aad8563303ae2f185ff5b54f0531d596bf40e2
43967,https://github.com/ManuelNavarroGarcia/cpsplines,swh:1:snp:01c3578e4c756bfccc3b826d5c8f46a9a6d18d36
43957,https://github.com/cran/groupTesting,swh:1:snp:c6ef64f37b9e4ccdcb0907e35b6d6f92ff1b1308
43945,https://github.com/deepmedic/deepmedic,swh:1:snp:27403ef89df2a2a3eb171fa11d969c94c3d56ab4
43918,https://github.com/danini/magsac,swh:1:snp:22e41e7ffcc728f4985800baf739896e25f7772b
43914,https://github.com/ekiciburak/CatTheo,swh:1:snp:36ba300c5bd2174a486a75262e67035b6b7b0da7
43904,https://github.com/GoelandProver/Goeland,swh:1:snp:500398289c1f7e106c265da89ce4e1cb851dcab5
43903,https://github.com/vortexmethods/VM2D,swh:1:snp:5d0056452e6d920c7fb37f1717e20df3ce9ef9e3
43901,https://github.com/JuliaReach/LazySets.jl,swh:1:snp:ebf36db3c64abd02ba0ff491ce1a6cd4a66176f0
43894,https://github.com/evilsocket/pwnagotchi,swh:1:snp:d66e75323d2d35223182a40182ac070033a8511d
43893,https://github.com/HumanCompatibleAI/imitation,swh:1:snp:f479d9868cd6bf9cfe104b524bcb06ddfb1383c8
43886,https://github.com/rickvanveen/sklvq,swh:1:snp:f37ea8e2147ab1e869d5e0f938553ae8a02dcdf3
43867,https://github.com/dbenielli/scikit-multimodallearn,swh:1:snp:ab1620d68ce1de0f733b705dac0c2e148c71c332
43865,https://github.com/plclub/metalib,swh:1:snp:551f1475bacb9782a778990bbb35cc1881073aad
43859,https://github.com/bachrathyd/MDBM.jl,swh:1:snp:0e6386a7ec7fb01178a425ab099d0bfd733a9e11
43856,https://github.com/Carol-seven/ionet,swh:1:snp:a0846579793eb95fa89ea1c264639a5e9bd33de1
43854,https://github.com/cran/ppgmmga,swh:1:snp:c59da74978df6055d2964d87488b9d97765fe7c7
43852,https://github.com/cran/MixedIndTests,swh:1:snp:0a3011bf705c1a9719be488f9dbe219bebc2bf68
43850,https://github.com/automl/SMAC3,swh:1:snp:7c9e58181903225b3376de4a92e274de06561aef
43846,https://github.com/ucns3d-team/UCNS3D,swh:1:snp:ded7a2aaf0ced60c124ad0084e3014f337599e4d
43844,https://github.com/microsoft/EconML,swh:1:snp:cb5ca38b12ff1391a748a55ad05c6e08f93a072f
43843,https://github.com/DoubleML/doubleml-for-py,swh:1:snp:164f07eb980c52e2b4fdfeee615ad0873a54953d
43838,https://github.com/chriscoey/Hypatia.jl,swh:1:snp:b248a8215d31eefbba9816ced513a90fe0f62708
43837,https://github.com/nickjcroucher/gubbins,swh:1:snp:a461f9e5eb9b3387b4a435cb21646d8efd6df3ca
43834,https://github.com/shenwei356/seqkit,swh:1:snp:4e3578a8eb20a6c726d17a64eb1c0b60e5f9f715
43832,https://github.com/NorwegianVeterinaryInstitute/ALPPACA,swh:1:snp:dd9406f4a0f2e13f0e9d3285885c7cbd8dd4c62e
43831,https://github.com/pyiron/pyiron,swh:1:snp:0cb178fc3f67931ace45f0221997e820cc5b3525
43820,https://github.com/cran/spatialreg,swh:1:snp:7e846d2d8931394d304e439c09331404251d8fc9
43819,https://github.com/cran/geostan,swh:1:snp:836cd758a4c64b438957dcbfb73448fa59f1f87f
43817,https://github.com/adanjoga/cvik-toolbox,swh:1:snp:bad5aeccb2e0280a9f09a484ac089ba6d5059052
43813,https://github.com/cran/scoringutils,swh:1:snp:dc1ba2571e25c433b52ed33019c75765c536508c
43812,https://github.com/cran/yardstick,swh:1:snp:c1ced9c44a39aa0589ca242bc55a80e3e55c5fe7
43809,https://github.com/cran/hydroGOF,swh:1:snp:2562a34d8ed8addf68e8bbd1f191591f60d860f5
43804,https://github.com/coin-or/Gravity,swh:1:snp:bfb64fb82e23ef9d11e904c49ad02d5627fd4f06
43796,https://github.com/JPETTomography/j-pet-framework,swh:1:snp:6b98a22058c45205b483a711101ae0740a10cc02
43795,https://github.com/amaelkady/FM-2D,swh:1:snp:3be5f01789f9b54579bfc727b7d781d0252f6aa0
43792,https://github.com/basler/pypylon,swh:1:snp:ba629a3401fbe84b5ecc793689be3fc939b82f99
43648,https://github.com/ebenmichael/augsynth,swh:1:snp:48c5d0d6c948be86084efed10561e4d20b6dc4e4
43638,https://github.com/chipsalliance/rocket-chip,swh:1:snp:ee348eaf562af684b5e2895b8b9d880af4376ae4
43636,https://github.com/pulp-platform/axi,swh:1:snp:39faa31e0a0a2f0199c9754b67523a9d65a8fde7
43635,https://github.com/PrincetonUniversity/openpiton,swh:1:snp:ef7cce01fe19728eb0e573a37d9e33fc384d6c89
43634,https://github.com/ML-KULeuven/deepproblog,swh:1:snp:b8952f596bce43cae44a8b3e70759d3d327795ec
43631,https://github.com/azreasoners/NeurASP,swh:1:snp:afd6097f60d4a57822c8188aa5bab7f17e742106
43596,https://github.com/julianfaraway/LMP,swh:1:snp:ec756babe8959e1fde29c11f07c66f5f4d691c51
43591,https://github.com/easyuc/EasyUC,swh:1:snp:c90ee7910eb6e6e9d8ae9602d5707ab0b66a44db
43590,https://github.com/LLNL/quandary,swh:1:snp:653bcc7666345846a8fd70b940e8525d08a1353b
43589,https://github.com/facebookresearch/RidgeSketch,swh:1:snp:1ce429ab06463a7a889f8f77568c852a50e84d1d
43574,https://github.com/koalaman/shellcheck,swh:1:snp:cd026786923cb21f6090fc69e33a6a0b7eb51e66
43567,https://github.com/hespanha/tenscalc,swh:1:snp:7e53472fcbe89ea4aa1cea3796b145c863a49030
43558,https://github.com/cran/expectreg,swh:1:snp:29eda25128c6ee2c197c86b554fed07fea7eda94
43537,https://github.com/cran/spray,swh:1:snp:8881dfb47e31edeac24573eabef48b24ff69d447
43532,https://github.com/cran/disordR,swh:1:snp:9956f7402a0d811822ddf40e28a3af0d83f24728
34643,https://github.com/Microsoft/Quantum,swh:1:snp:d80410c3806b353e69a41ba6e39401599149e407
42835,https://github.com/materialsproject/MPContribs,swh:1:snp:f3bc086553fb91a1dba72eb34e4cebcd6c2733c9
42834,https://github.com/materialsproject/emmet,swh:1:snp:59a24ef65bf7fef94f9008dbc1db700793c47ef3
42831,https://github.com/jacksund/simmate,swh:1:snp:d91ba3f55a0f6275d8fd69ea0a7b827f626eef9a
42695,https://github.com/s3prl/s3prl,swh:1:snp:de825b1a741f163952db6e4413ff3361c9c4e41a
42676,https://github.com/open-mmlab/mmdetection3d,swh:1:snp:5f0a49fac052d53a9100a3545969f98cff128727
42672,https://github.com/mihaidusmanu/d2-net,swh:1:snp:830b2060b3a7421c49e2e2d1027df63d502900b9
42667,https://github.com/lzx551402/ASLFeat,swh:1:snp:20ee3be0e3065f8ddefd1cfbcd1e8e08fd0fb6f6
42662,https://github.com/zju3dv/LoFTR,swh:1:snp:0c01070de873bb8540a3e4c8c207d16328bf266e
42658,https://github.com/castacks/tartanair_tools,swh:1:snp:c0bc1e1b23806efb4df78ba9f727e61f8138c207
42646,https://github.com/cran/Aoptbdtvc,swh:1:snp:6485a5573c00f22b97b38ac80e06513ca49f152f
42626,https://github.com/sunset1995/HorizonNet,swh:1:snp:e79cdc5c4ae2defcdbd309b49380927e395c4c3d
42605,https://github.com/cran/mvPot,swh:1:snp:028816477a7c5375f5bf0315d9ec7d1d3e64b160
42596,https://github.com/HKUST-KnowComp/ASER,swh:1:snp:9b39251fbeb44cecc39f0254d74282e6b5a669b1
42566,https://github.com/prashnani/PerceptualImageError,swh:1:snp:75c6c02cd2a1bb1273e38226228979688e95289d
42564,https://github.com/microsoft/Swin-Transformer,swh:1:snp:f9a793a5380dd22a040abeccf6f448f4c51e9849
42558,https://github.com/open-mmlab/mmediting,swh:1:snp:cbf423343a2a61d1a4ff4bc82c2a8b7fb954029e
42544,https://github.com/google-research/vision_transformer,swh:1:snp:b1a8fc93eb6ad46a0ec99c51f79d1dfb574970d1
42543,https://github.com/fundamentalvision/Deformable-DETR,swh:1:snp:cc01531579abdc827a32e3212d515939b7119705
42541,https://github.com/facebookresearch/mobile-vision,swh:1:snp:c6b2c7881db9da1cfb055c077688ac1ddd1db77d
42535,https://github.com/microsoft/Cream,swh:1:snp:60e067ff6edf388e792ac636955316366d946f08
42533,https://github.com/yitu-opensource/T2T-ViT,swh:1:snp:719089ee7320e9aa24a4a1e4bfb6e9a4c99c100d
42519,https://github.com/taoxugit/AttnGAN,swh:1:snp:b875f488659df75ae8a4d717f0c6855acabe0147
42499,https://github.com/pliang279/MultiBench,swh:1:snp:286832b754406e01837c0da9d87d1b6811f50e4c
42477,https://github.com/ERGO-Code/HiGHS,swh:1:snp:91b0bff408627192aa2f9db20b9cd225fbe7811d
42468,https://github.com/glory20h/FitHuBERT,swh:1:snp:c697c58bcb2ae6b5826cadedf4c6323063e12168
42466,https://github.com/Maumagnaguagno/HyperTensioN,swh:1:snp:b67dbcc4a1891aa269f400662508a24f97a79f08
42465,https://github.com/TruongKhang/TopicFM,swh:1:snp:c399cdb067a2ba049c4065f5ec9018432da7ea0f
42463,https://github.com/neukg/RobustMRC,swh:1:snp:a110f15db02b2f2a8e44f030cd93b9e46f751986
42455,https://github.com/IBM/CrossViT,swh:1:snp:b7ee93fea148ff9b1a8602b0d5e23d4b6492d178
42452,https://github.com/VITA-Group/AutoGAN,swh:1:snp:b39a0084b02650e0ea0b09a1b33cb260c2e9b81d
42451,https://github.com/chengaopro/AdversarialNAS,swh:1:snp:176aa11de1b60bbc67bba37b861472b44a11bea5
42447,https://github.com/VITA-Group/TransGAN,swh:1:snp:4284c48f2c816a228e985954b0647a71d706175a
42442,https://github.com/cran/RcppAlgos,swh:1:snp:92d13085127b176656434518d9549e4c2eb4c6e1
42432,https://github.com/cran/nnfor,swh:1:snp:53bfee357e0f96ba297c519dd817902de275f0cc
42422,https://github.com/paulgeeleher/pRRophetic,swh:1:snp:fd57000be7129141d2cec81722bfe3486fe6f516
42414,https://github.com/phylolvb/lvb,swh:1:snp:6461421a42e5e7bac5081aa9965eff1bf1b98306
42412,https://github.com/PSORLab/EAGO.jl,swh:1:snp:dc30c0c4ba255fed28e45252f37fbb0338751c5d
42394,https://github.com/DmxLarchey/The-Braga-Method,swh:1:snp:109009ebcde9a9021ddfd1c9d8e2595816585f8b
42392,https://github.com/cran/rsconnect,swh:1:snp:7e96a7b9fb877ea455fb46191feae4ac0cb00231
42390,https://github.com/MPS7/ML_coag,swh:1:snp:ba887702754e2571251b8adbb94bb9da900ed91e
42378,https://github.com/cran/JBrowseR,swh:1:snp:0dad735a1ab03fc73830e6102b06845aae1e390d
41284,https://github.com/ain-soph/trojanzoo,swh:1:snp:4de594299b2c6af4e389517ce52476acd7e9d46e
41270,https://github.com/tchitchek-lab/CytoBackBone,swh:1:snp:5fd78584dba5b0249f38c9bb7ae9be92714939fc
41260,https://github.com/Nelson-numerical-software/nelson,swh:1:snp:60b10a4532ad69b7400d26085d46d351cee12f58
41259,https://github.com/data61/MP-SPDZ,swh:1:snp:4841c81b789988bdd3a869f30b87dcf3a9a3f26b
41252,https://github.com/bsc-pm/dlb,swh:1:snp:b246145db78f66c6fde643f2bb6e3181c67d0e28
41249,https://github.com/SDR-VariableSelection/ADMMFTIRE,swh:1:snp:041c8029fc37883da7b79cf2dc38f1b75820ef43
41246,https://github.com/NVIDIA-Omniverse/IsaacGymEnvs,swh:1:snp:e5a1ee78f7e4f61c99363b242b492dafdd37515d
41245,https://github.com/AI4Finance-Foundation/ElegantRL,swh:1:snp:fd9653879a4026b2d52458415b42df66ee5e07a9
41244,https://github.com/vwxyzjn/cleanrl,swh:1:snp:81997f35c3d3db726b7c72c817663c0937e4c6bc
41242,https://github.com/Toni-SM/skrl,swh:1:snp:c612ae97a9f482579d8dc12fede857f74312fb16
41238,https://github.com/openvinotoolkit/anomalib,swh:1:snp:1edd3261652665b11d405c87b833c9545777de63
41235,https://github.com/cran/SSNbayes,swh:1:snp:ddfb7cd946d76ac2deaab3132106260e908dcaa2
41230,https://github.com/JuliaMath/Interpolations.jl,swh:1:snp:78808bfb6fbfacf5b933f025d6c09e8285820fb2
41229,https://github.com/sisl/GridInterpolations.jl,swh:1:snp:e704cab175ff76b4fb78f0490d072c4bad267dfa
41227,https://github.com/danspielman/Laplacians.jl,swh:1:snp:6a5e30b305edc23322c04d619712009e4782be12
41222,https://github.com/JoeMcEwen/FAST-PT,swh:1:snp:2119afd5b103911875fe5855da60fb0c6cd73844
41212,https://github.com/pavlin-policar/openTSNE,swh:1:snp:5e7dd1a131971eb223737e719f42a9c1c74bb908
41206,https://github.com/bonevbs/HssMatrices.jl,swh:1:snp:c4840b408859724beeaa8bd74007778395036cc7
41205,https://github.com/cds-astro/mocpy,swh:1:snp:678e2776bb2ace313b75306fb080bb71a5773cd0
41202,https://github.com/JuliaSmoothOptimizers/Percival.jl,swh:1:snp:0e9459a94ca014fcd320e02cadd074b136f513db
41201,https://github.com/JuliaSmoothOptimizers/SolverBenchmark.jl,swh:1:snp:880d52cd0967857e314a023aa1daafca81a1880e
41200,https://github.com/JuliaSmoothOptimizers/HSL.jl,swh:1:snp:bcc3aa64392088ceeff714e264aac75c33a6dec1
41199,https://github.com/JuliaSmoothOptimizers/Krylov.jl,swh:1:snp:b25d366a8605db58b30a3efe5fe34496fe483eef
41198,https://github.com/JuliaSmoothOptimizers/PDENLPModels.jl,swh:1:snp:b435e21cbe2867066168eb27e7ee2b760a5980be
41197,https://github.com/JuliaSmoothOptimizers/DCISolver.jl,swh:1:snp:2844a71b66569c8bd4f777814548107581f9819e
41195,https://github.com/peraro/finiteflow,swh:1:snp:0ae5fc407aa6c63558f3f9874ef95a5bb116ec2f
41185,https://github.com/cran/radiant,swh:1:snp:45dffe93be83506025ba53ffb1865c14726ab5e2
41151,https://github.com/stack-of-tasks/pinocchio,swh:1:snp:43b319986962e6b5958c0144b0cb10bd88a9e7c3
41143,https://github.com/pypr/pyzoltan,swh:1:snp:2d79de84aea20fd35c08011726038e3930662115
41142,https://github.com/pypr/compyle,swh:1:snp:9cd4e4abc1a1c926c94a4873717043185f257983
41140,https://github.com/LLNL/spheral,swh:1:snp:dd4e9156d2930e572512dd7e5592c2f1941eb2c9
41139,https://github.com/AndreaAmicarelliRSE/SPHERA,swh:1:snp:b430117bea49fd790a2927d4255796949f6de748
41137,https://github.com/danieljprice/phantom,swh:1:snp:ca1d82cb80e4a23f76a407f8a94175ca34c49559
40851,https://github.com/JuliaSmoothOptimizers/LDLFactorizations.jl,swh:1:snp:6e258629a50c000006f8dfd953a022c8992268c0
40848,https://github.com/ds4dm/Tulip.jl,swh:1:snp:e22496c3f6d2bd81bab599b94711f8eb9a832b3e
40841,https://github.com/cran/NPP,swh:1:snp:d45e10a7c6d6f2d1b0b8948a3df613d386c60d49
40837,https://github.com/cran/BayesPPD,swh:1:snp:c7cee1eca1f76600418c3d7d34d3753593bdbe6d
40822,https://github.com/AlexeyAB/darknet,swh:1:snp:2bfc8188886aafa6961c8ce05c68688134ea6e92
40798,https://github.com/iastro-pt/SOAP,swh:1:snp:542816801f6eb0585347d7db25578c5cc1bfe46e
40793,https://github.com/pallets/jinja,swh:1:snp:24e72fecdc4dabfead8eeb25a2a9a4b094cd23fc
40790,https://github.com/nghorbani/amass,swh:1:snp:5f9d97c7e0655606b45d4365e2b59c3602bff7bc
40778,https://github.com/ldsec/lattigo,swh:1:snp:a2734918189036d8318c73edecedc4b5d4454bf5
40776,https://github.com/cran/EMMIXmfa,swh:1:snp:fa4dcb0a8cad0fec751e07139043b88362bcbb62
40771,https://github.com/lefakkomies/pynomo,swh:1:snp:60a1d6ad6ee48a2227ef18aa7acb1fc359196bc6
40761,https://github.com/cran/changepointTests,swh:1:snp:ab664795faa8c2ee5bb8219bb2eafbda617e3d7a
40755,https://github.com/nunchaku-inria/nunchaku,swh:1:snp:fe593d39ca4a4e2fa4a44c1dd5cf3dc1bf5489c6
40748,https://github.com/fabian-sp/GGLasso,swh:1:snp:4808d736da72371faed6a94167e2426b93b1ff0e
40744,https://github.com/ropenscilabs/qcoder,swh:1:snp:989be0aee4fb893e9142538cee88ab3d45288f65
40743,https://github.com/ccbogel/QualCoder,swh:1:snp:cc84ceca8917236835153f3c5e01814d10105a91
40739,https://github.com/cran/shar,swh:1:snp:a6d097df5c7cd12358f8b4ce54092abac72ed90d
40737,https://github.com/cran/rbioacc,swh:1:snp:935b11494d70d1097317539b43c4a4f5e650b908
40721,https://github.com/juglab/n2v,swh:1:snp:878fa8fb473660efed7d14c2a6d1e34489f0a5f8
40706,https://github.com/ogoe/waves2Foam,swh:1:snp:cfeaa395270e5e8ec0422b71bcce225b277bc7ec
40705,https://github.com/penrose/penrose,swh:1:snp:f92a004bbe1dea04b6ffe0bf5d6434cd005804fd
40703,https://github.com/jscoq/jscoq,swh:1:snp:2d591a29d25df03b33b635d4e5fd92315dbd92a5
40697,https://github.com/apache/spark,swh:1:snp:5c5e0331f5043a7c374915d288f367ba4a98643c
40692,https://github.com/microsoft/Quantum,swh:1:snp:d80410c3806b353e69a41ba6e39401599149e407
40668,https://github.com/rohdelab/PyTransKit,swh:1:snp:defba37f99c4b45c8958c26684c3beef758f2330
21019,https://github.com/cran/R2G2,swh:1:snp:0ea74872f05e4a6def53d26281697a0e6abae4aa
21020,https://github.com/phylogeography/SPREAD,swh:1:snp:01602979acaa6a9c36de37e49c37d5de15586585
21025,https://github.com/cran/crossmatch,swh:1:snp:a0c34a94993eebec8ec4837532b357b6e537a12e
21027,https://github.com/coco-team/pkind,swh:1:snp:9e8cd70d5900a184c958f18bdb250d3ddf190584
21030,https://github.com/niklasso/tip,swh:1:snp:a90d4a7e9d1767568185baa18182d795f0d6b6ad
21033,https://github.com/cran/pencopula,swh:1:snp:8fe1124a1447f28b05a72648b4934c87336f75af
21035,https://github.com/dmlc/xgboost,swh:1:snp:f916328b4eb6af8a96cd1e8c3994a1a68491a430
21037,https://github.com/cran/funcy,swh:1:snp:92e7ff4da43f0d074e117d36358520d6a1ae236b
21038,https://github.com/cran/Funclustering,swh:1:snp:876282ff526f5bdd709a6be81ef6af5d080d3221
21039,https://github.com/cran/fpca,swh:1:snp:a4858e93e2c15635466724f2a037a4d64f9f0c48
21040,https://github.com/cran/fdaPDE,swh:1:snp:2e325b755d3e0bfd6d99cb616bc3e52c7806dd69
21043,https://github.com/cran/RFgroove,swh:1:snp:f9f3125ba4419b0ffa59d8a5846372ae5449d083
21044,https://github.com/cran/refund.wave,swh:1:snp:b051a044ed397d358c72a99a884c7d23f3626307
21046,https://github.com/cran/sparsebn,swh:1:snp:af9d03d3f03fd72c90369590aaed0dc214463f57
21051,https://github.com/dglemay/G-NEST,swh:1:snp:5422d4b489714c081cd9f3c18eb84a9581fd8221
21053,https://github.com/akaraspt/deepsleepnet,swh:1:snp:8e462dc540707d45db6375f0980e5aafba888eb0
21054,https://github.com/tflearn/tflearn,swh:1:snp:7ef609d6b6bb07c2667f85cdd5a78f7011c1da96
21055,https://github.com/deepmind/sonnet,swh:1:snp:bffa3a404e7011648ab4f21ea451e5006947b477
21056,https://github.com/Microsoft/CNTK,swh:1:snp:1182160d5e9fac55822fabfa129a5b665ea2b0f8
21067,https://github.com/cran/calibrar,swh:1:snp:575ab167c7e2c2356d4c47fd917a5fdf60f44f9a
21077,https://github.com/cran/Segmentor3IsBack,swh:1:snp:66bcac8fd954b7aefd325c311275f758af188535
21080,https://github.com/cran/RJSONIO,swh:1:snp:c92f28cbaf0ed8fc34fd30649435d7a778ab9468
21090,https://github.com/cran/CensMixReg,swh:1:snp:34a24501c2ed9f816d9f273bcf1b7095645207fd
21092,https://github.com/cran/CensRegMod,swh:1:snp:8e63b78eefb18b52c51a588542ecbc7b826b34f4
21093,https://github.com/cran/BSquare,swh:1:snp:b7748e457bf5a5cd87b02143e9e97f946af791c3
21096,https://github.com/fabrice-rossi/yasomi,swh:1:snp:fc4bdde4ec391638d23d1fd62de142d5bd881a44
21104,https://github.com/hpi-xnor/BMXNet,swh:1:snp:8d7de6f17c289ef50793cdf850786af36bb378cf
21116,https://github.com/cran/mnlogit,swh:1:snp:c050496f84739ec8963c3847fea2e7e4300b6110
21117,https://github.com/cran/pmlr,swh:1:snp:08ea3b535419111bef00f1848c0165fa86902404
21118,https://github.com/cran/maxent,swh:1:snp:15ac2bcc6b47281c2d4880d28ea9b10f926c3ff7
21132,https://github.com/cran/distrMod,swh:1:snp:1114ab501f670d58b1624e191f7c5d9c29db36a8
21136,https://github.com/pr-omethe-us/PyKED,swh:1:snp:e071c1102aa8dbd51ebcbb12c7712467e05a0458
21137,https://github.com/kyleniemeyer/PyTeCK,swh:1:snp:30bada50afe90b518e3efae2cb1efdc91d196f04
21139,https://github.com/pytest-dev/pytest,swh:1:snp:77983a643041b4423c971edb24bbefdbec9cd613
21140,https://github.com/hgrecco/pint,swh:1:snp:183e8a19f6ba5e11fe605773a654488dba0ffd60
21144,https://github.com/fermiPy/fermipy,swh:1:snp:d33d63f403dc3805389b34c7c726181e5699f26f
21145,https://github.com/gammapy/gammapy,swh:1:snp:fbc23167f749f33189fc9fd5a234aecc1ca2558b
21151,https://github.com/cran/BBMM,swh:1:snp:454250847a34f12979f7649b006ba3fc001a9966
21189,https://github.com/lotten/daoopt,swh:1:snp:05f40113bbced180aa1ca8ac90a826105647672f
21192,https://github.com/geduldig/TwitterAPI,swh:1:snp:a856de5451e39648c2dea2efd01f8dbae12af2f4
21194,https://github.com/timjurka/sentiment,swh:1:snp:79595b605e40f4d916833a90d37a217f946fb9fe
21195,https://github.com/timjurka/cranstats,swh:1:snp:f9c4292e45b618bad3b4f54fcd37e233d191d5bf
21208,https://github.com/oTree-org/oTree,swh:1:snp:11f1f7d32e458ea74dc6e6698d661e611fc3348d
21211,https://github.com/abstools/abstools,swh:1:snp:3909cf8cbfd787d667675bacad4b9b3e4aacf3d5
21215,https://github.com/cpraveen/nsc2ke,swh:1:snp:3743171a6ff0228d881f80e9a2931c80663a52be
23604,https://github.com/fossology/fossology,swh:1:snp:b719b00669a955c86a5de5d01b13a785eaef1521
23606,https://github.com/cran/sensitivity,swh:1:snp:df250e1519c6ee2cdd18c9023e08bb9c5cdd3043
23622,https://github.com/ruehlef/BraidedJunctions,swh:1:snp:e59c7ebf4ae7b610267f91606c4bc05b761df247
23625,https://github.com/flyspeck/kepler98,swh:1:snp:21d15c23c49aa8ef4916dfb6379460eda021c888
23641,https://github.com/dmbee/seglearn,swh:1:snp:8a052dc0c5de81f0528e6eef9004258218dac612
23644,https://github.com/cran/kedd,swh:1:snp:9fe72e7b1ea0be0902a34a95e06572c34be835dd
23661,https://github.com/cran/Vdgraph,swh:1:snp:ab5869c388f196944359b4dc4eb8c65434a4aff9
23662,https://github.com/cran/VdgRsm,swh:1:snp:01fb4a0dc67674c69fdeead0350ac125c8a7a226
23665,https://github.com/cran/MissingDataGUI,swh:1:snp:c2b3b39d6e24ce3b43fdee8864f3ee04c9bfe62e
23667,https://github.com/cran/irtProb,swh:1:snp:a76757a3cd932a120b820e6cf9c7ca1ee21dbd84
23668,https://github.com/sjirjies/pyJacqQ,swh:1:snp:364dcb4fa02bcdabe6ca9ec63633db730135d8ab
23671,https://github.com/cran/VIMGUI,swh:1:snp:0b0142776d98625f79b350de5cf41d447a241d12
23675,https://github.com/cran/ClickClust,swh:1:snp:abbd54eefb78c727742512122c5b09f8b684523e
23681,https://github.com/cran/lga,swh:1:snp:a8048e6966b43f31b5cce1826134445b81c03e35
23687,https://github.com/moderngpu/moderngpu,swh:1:snp:82b3c17547a2f0e715ee10210238cd07439429b4
23713,https://github.com/qiqi/lssode,swh:1:snp:f43e57db5962e7f413d2dbbcc9d84e495ab06fa2
23724,https://github.com/Martin-Helmer/char-class-calc,swh:1:snp:e28e6427045e12f4d9d695d98121707b20cd09c3
23727,https://github.com/bluescarni/piranha,swh:1:snp:6730f38ff30f9cc2b41bc3fa8a52fc8fcb921133
23733,https://github.com/cran/LPTime,swh:1:snp:4f0cdbaad958ebe8c316d1d5fc2f9dba2565bd6b
23746,https://github.com/cran/Peptides,swh:1:snp:316ab26b177c89d436d7382f220a03f3af5e5452
23754,https://github.com/walkersw/AHF,swh:1:snp:0badce2d2cf54e291c6591215155585c8bc68b47
23800,https://github.com/edykeman/kfold,swh:1:snp:73d0073bd517c819aab0b196b272945d5c210514
23802,https://github.com/msmbuilder/msmbuilder,swh:1:snp:6d39646e8ffce486438fa921d4d4d028ecfc3411
23810,https://github.com/cran/lava.tobit,swh:1:snp:4820bde07eee46a94d038a3014a9267a85a7cb9e
23841,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00073,swh:1:snp:3c6fdfc03f85ef7b02ed2519fe18bc0636ffde84
23842,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00091,swh:1:snp:3415a0b83a48c2496f86cfe9e0f8704a5a367787
23855,https://github.com/w-mcilhagga/penalized,swh:1:snp:7532cb67cf0248c854ef801dc20523a8f8688d86
23856,https://github.com/cran/extRemes,swh:1:snp:eeae1a66b00ab994049e3ffee24792615bf4dab8
23862,https://github.com/cran/R2MLwiN,swh:1:snp:e152ee715e992a283d701da3978bb15e657d0353
23865,https://github.com/cran/rbugs,swh:1:snp:80c5500a4877484e5e3aa96e54e8b846b8ea9790
23867,https://github.com/cran/nlmeODE,swh:1:snp:bb471c2bfc7f7c21af7bce2687b6163b593c7084
23875,https://github.com/zhouweiyg/metaspark,swh:1:snp:0ef34b4d2e9d2de27740a582586870bf189ad914
23885,https://github.com/MADPToolbox/MADP,swh:1:snp:91270f62cfa10a2db03f662ffa2f491617b775ab
23887,https://github.com/cran/mlt,swh:1:snp:8ed8762e9e39a52ba7d7d8e0252473ffbd8da740
23897,https://github.com/weinbe58/QuSpin,swh:1:snp:3f07e644cd6799af99e25e1fb1c7c311eba5e549
23908,https://github.com/bastikr/CorrelationExpansion.jl,swh:1:snp:471f9f50d0acefecdf3ba9f40329770b913e3b94
23910,https://github.com/SciML/DifferentialEquations.jl,swh:1:snp:2cbf100ebfa548e70d06685cdde029d15d732c73
23912,https://github.com/khanhndk/GoGP,swh:1:snp:a0c92c7dce84a533f845d05adde12fdd0435cf4a
23916,https://github.com/JustinaZ/pcaReduce,swh:1:snp:a0100a80fd3e4310601cfded3796f62d9aca7207
23917,https://github.com/pkouki/recsys2015,swh:1:snp:f5ecf2d8e7bacf8cbf8c9807308fbcfc38c4e972
23924,https://github.com/graphbig/graphBIG,swh:1:snp:7d2c90df7f02fa5f9949835eb6c08e4c54157268
23925,https://github.com/adaptivecomputing/torque,swh:1:snp:f1febd7e44a2edcba6c06f641af40cb96b8b0909
23947,https://github.com/DixianZhu/deBWT,swh:1:snp:0a6b7b1cc7e88b2acf24b19bad2e7e38fedf5ccb
23959,https://github.com/jkrogager/VoigtFit,swh:1:snp:4981a4659d91776b33036732499f90b23a6a6827
23960,https://github.com/cran/coexist,swh:1:snp:51dee82de1b7eac77e4f916a8c13939c38ff4e77
23963,https://github.com/voutcn/megahit,swh:1:snp:fac411d1bb2aa68d5079ba406d2cbbf84c6f1266
23964,https://github.com/AlgoLab/HapCol,swh:1:snp:5e0916b0c5fce1f1f43e51b7b0995b6578777f1f
23971,https://github.com/fenderglass/Ragout,swh:1:snp:12412e9d5850529b00b9f75cc3a4b47d1a47cc92
23972,https://github.com/ksahlin/BESST,swh:1:snp:9b69377ed6cfecb386725d664421bdfb8b1ab073
23974,https://github.com/triguero/ROSEFW-RF,swh:1:snp:aae50715d9cf85866c91f9abe9182b15424fb604
23987,https://github.com/pec27/smerfs,swh:1:snp:b5fe8cced3a87d941a70185ec4f42ac203475852
24002,https://github.com/cran/conting,swh:1:snp:7c259dde0bc77603b63ab7836dfac5c6adafff24
24007,https://github.com/cran/psbcGroup,swh:1:snp:72a3c3e7fe442c38b5092e5cf839db84079ae190
24009,https://github.com/fcasal/genpsat,swh:1:snp:74b454168aa5921ba3dce969e2300aaaf160031b
24018,https://github.com/cran/int64,swh:1:snp:2169960dbd2e56059855d47ee3e3c1d69aa760f9
25828,https://github.com/cran/degreenet,swh:1:snp:783b4b852e6c3a0ec6dd74a33d88644512612e9a
25833,https://github.com/cran/nonbinROC,swh:1:snp:b42d62c61214ed83cbafc82be0b55f5bf4be4d90
25835,https://github.com/cran/wccsom,swh:1:snp:813a05e269999a8ae88ec5b6248245fe318c5ce5
25838,https://github.com/cran/mlCopulaSelection,swh:1:snp:cb52b9b3dae4b2d05fe4d678373711f66760a854
25841,https://github.com/cran/MBESS,swh:1:snp:fe0aae4694f9acdbd38617666f1c4ae93fc96b85
25851,https://github.com/Pochoir/Pochoir,swh:1:snp:bc0580eb4168772048ae1fee04d861127f0b8531
25865,https://github.com/umartechboy/PhysTrack,swh:1:snp:f5e668e77fe3e7bb9c5df4e133b20c4bceca7182
25869,https://github.com/CLT29/OpenSALICON,swh:1:snp:fe266e7ffd9c46d0e7a48a468f41b214d885de26
25891,https://github.com/yyxhdy/arja,swh:1:snp:618dccffa2b4e989e351dafa2147cbb25600cd34
25900,https://github.com/oscaribv/pyaneti,swh:1:snp:f53e5cfe46ef27b0c18a2fbf0c41537eaa9be125
25901,https://github.com/ngbusca/QuasarNET,swh:1:snp:b83621947c7efb0eae597da7b42e30e120fb54e8
25902,https://github.com/cc-hpc-itwm/TensorQuant,swh:1:snp:e69ad1dafc66e5a359d93a597c2e1a3f413a60bf
25903,https://github.com/jayhorn/jayhorn,swh:1:snp:26e3a6706416779da9f23ced8a998b26a079b3dd
25916,https://github.com/matlab2tikz/matlab2tikz,swh:1:snp:b11d4c14ad141cbb15a00c4a94af3f6faac900b1
25926,https://github.com/cran/exactLoglinTest,swh:1:snp:179f78f3b4b3a7c5fb50c62943a9d12d69e188d0
25944,https://github.com/cran/dynamicGraph,swh:1:snp:2225028c6396c8478ab23d5dabbc41c81b0f2de1
25952,https://github.com/vissarion/volume_approximation,swh:1:snp:33d1a2ea6d51369d8db838bae7fcbc41a8f65934
25977,https://github.com/pamattei/GSPPCA,swh:1:snp:4fc34317a3dffea44060b5a345d99ab1d69d9e28
25979,https://github.com/jgalgarra/bipartgraph,swh:1:snp:2f6c98cb8123a818f893d84879a650658d1913ac
25981,https://github.com/jgalgarra/kcorebip,swh:1:snp:f216c3a00efc367d932b1f67f009caee66e74b51
25985,https://github.com/rc/gensei,swh:1:snp:904039e335825f31ffe92acd5337b19939af15b7
26009,https://github.com/cran/FracSim,swh:1:snp:923e1681066d822bf77d6d42b92777e20809219e
26010,https://github.com/cran/mimR,swh:1:snp:c68045b92c8488eb31beca781442893ecd031e85
26012,https://github.com/cran/adespatial,swh:1:snp:078fc416f7a9134907651ca70975e927e1256493
26015,https://github.com/cran/rioja,swh:1:snp:41da2bca5c78d6d5b3392c1d0ad1b145350a947d
26019,https://github.com/cran/BayesianAnimalTracker,swh:1:snp:38637679cc0600c5b1f9fc2f4fdb2ee87a5f363f
26023,https://github.com/cran/treebase,swh:1:snp:35cd8abc40ddb9fd4d0f90f0822b3a0271654cef
26024,https://github.com/cran/openair,swh:1:snp:e1c29c0282a1011d79b12cd929f76da86df756b3
26036,https://github.com/cran/reports,swh:1:snp:ea418a523b13ff10bc83021a6cd4a3dbfc33689a
26040,https://github.com/cran/pgirmess,swh:1:snp:03ae3f09b7ae52587ab504046754ab9f0b82bcaa
26042,https://github.com/cran/fCalendar,swh:1:snp:9d85636646e543aa2ed9f20d208bc3d33926df43
26046,https://github.com/ebraude/geopar,swh:1:snp:9f70f87ddd99a6fbd5e74bedd35450b8d6bd3b89
26053,https://github.com/cuemacro/finmarketpy,swh:1:snp:fa06543d51874bc0466d884ff4f90d7b84b830f1
26055,https://github.com/cuemacro/chartpy,swh:1:snp:c8a8cc28235cc6053c30025d09ebebb2f0d03346
26057,https://github.com/manahl/arctic,swh:1:snp:7d9b088d408699983a156583d9d92457473ba261
26062,https://github.com/rimbach/Ccluster.jl,swh:1:snp:cf5eb3f05127c54fe5ab3423586848ce6d47e63d
26065,https://github.com/jbalakrishnan/QCI,swh:1:snp:64599bdf4ff81e83c42f97fb9207e15987fe6d08
26066,https://github.com/ketch/PseudoSpectralPython,swh:1:snp:158b2f28ffb88f6551735b9feca44506c2694b4e
26084,https://github.com/cran/rpubchem,swh:1:snp:8a8ad24ba07dfe8da793757c17a506c0a75143be
26087,https://github.com/JChemPaint/jchempaint,swh:1:snp:3af476f1a1065018fa5feea568ce40365c16dc23
26096,https://github.com/PBrdng/LearningAlgebraicVarieties,swh:1:snp:9db473978b40fbb4a121d1cd4c331b88d4f01dc7
26105,https://github.com/fxcoudert/elate,swh:1:snp:6a0a190bd58b1ddc947d3b78f3bbdc20639fa77d
26109,https://github.com/cog-imperial/GPdoemd,swh:1:snp:0021a3a50cc43e41e99e9a1960897f804e86805c
26110,https://github.com/steven-murray/powerbox,swh:1:snp:ff0498ef6a394dd98feb17c50c72a03288d6572e
26111,https://github.com/cdgreenidge/leabra7,swh:1:snp:d463d45bfa9b7c6af51866ebe764cb3748471a3c
26115,https://github.com/cran/auditor,swh:1:snp:684a0a686288a5ab605ad62808f64c6903e7796d
26122,https://github.com/cran/diversitree,swh:1:snp:d7ee10df0b7e86ceff96befd2fb447202bc81044
26123,https://github.com/cran/Rphylopars,swh:1:snp:7dec38e9c456a2447591b898080272d8e0506ad2
26125,https://github.com/cran/mvSLOUCH,swh:1:snp:f4320b339a82926ca2bdf93771d2fad4c6007fe8
26127,https://github.com/cran/RPANDA,swh:1:snp:07ff26ea073a54f6d13fee8427b01adee6336ef0
26135,https://github.com/guma44/ushuffle,swh:1:snp:dc4de57b392d7ea2f29d7223aaa07d9d9f1fa3f3
26140,https://github.com/mathLab/deal2lkit,swh:1:snp:e899ea2960b41375f0605fa56f1310e3a871f8d6
26141,https://github.com/mathLab/pi-DoMUS,swh:1:snp:5067fb72d6d3aace147889911b282439b750ae15
26142,https://github.com/assimp/assimp,swh:1:snp:650c59901168d7b5c4739d8be8021f58c00b9564
26145,https://github.com/sq-meng/multiflexxlib,swh:1:snp:d4f5171803b7cca000e4fd359a2b766838f140f0
26147,https://github.com/google/gson,swh:1:snp:0ae7a97194bd1ccd6d98b46896bdb911f4062a40
26149,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00066,swh:1:snp:9eacec57e8f6d6ac9a92e131999f6136624a8d9b
26150,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00058,swh:1:snp:9e479de1b1e9611bf72c3432dfb9be26a17b5f45
26152,https://github.com/cormorant/CodaNorm,swh:1:snp:7608b804123154422b99777bf681fe84d00f482b
26159,https://github.com/imathsoft/MathSoftDevelopment,swh:1:snp:4a1353f65c60882e53ddf86470b46b93d072f012
26162,https://github.com/KlugerLab/SpectralNet,swh:1:snp:85651f8be3ddd26db09397355300995f4ef370c2
26163,https://github.com/ericyi/SyncSpecCNN,swh:1:snp:30fa529b9ef84e080843e40d1455564a05a345d8
26167,https://github.com/vgvassilev/clad,swh:1:snp:ae33fcb73367be0b09e515f4950a2655e8382508
26169,https://github.com/cran/NORTARA,swh:1:snp:b319869c0136f73d7fea040dfea2edb1316a7c03
26173,https://github.com/esnet/iperf,swh:1:snp:41fcb739fa57abe6464a8026c1aa05d94ea18f08
26183,https://github.com/cran/zCompositions,swh:1:snp:2025f71defee02ea70b6d6d1f62f8dc3a564af66
26188,https://github.com/cran/CMC,swh:1:snp:0d6ef4f9e7bc0882e20ac94c2a1431d4a76c2209
26190,https://github.com/cran/psychometric,swh:1:snp:e62dc9435969939853d8ed52ee4b5c01227e4b79
26198,https://github.com/cran/cfa,swh:1:snp:623b02780fa9a95fb4b95cc0da2b14d4ba1fdcc6
26203,https://github.com/cran/brainwaver,swh:1:snp:19316a65e8b358efd5441acb9fa8f86a407ab16d
26208,https://github.com/cran/vows,swh:1:snp:61ce84cebbc7abb489f48aa3f76cdefb16617034
26211,https://github.com/stanfordnlp/GloVe,swh:1:snp:468c42a3d57e7f6699933340768f8d7a88274746
26212,https://github.com/Jollyfant/Paleomagnetism.org,swh:1:snp:03b35eae7f1e0495f8433d5dfac46f0ef0f20360
26235,https://github.com/laszukdawid/PyEMD,swh:1:snp:38fb28ee2fbdb2310fc8c93e867e0ae2e97d4195
26239,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00021,swh:1:snp:452f6219671adf6ca0cc5a62e09facb0fdff0d96
26256,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00075,swh:1:snp:65e65557e45d183d5d3a5f8e8a53d5152d2adf35
26278,https://github.com/cran/permDep,swh:1:snp:653541a47d116b7884c1f64aba3cec10402b5e15
26283,https://github.com/bwohlberg/sporco,swh:1:snp:6a667bf79c888dbb55aac235ceb61c6b090631b4
26289,https://github.com/uuverifiers/uppsat,swh:1:snp:10d1fe4ea5edc56be35dacefbca0981a8ab5cc13
26295,https://github.com/emmt/OptimPack,swh:1:snp:58d751508d33240d0200e3e2ce3b9c2f0937e1e6
26304,https://github.com/ayrna/orca,swh:1:snp:3ab8ac3336d320d42ace367f64eae5a90f3575dc
26313,https://github.com/dbdahl/bamboo,swh:1:snp:45d11570fed370b65b8dd166c548c8695be2a7a9
26314,https://github.com/dbdahl/shallot,swh:1:snp:05822a0c5442c1c80e971bf3d79ded66f79c8f08
26334,https://github.com/cran/BWStest,swh:1:snp:331667b92fe2bb0e325b386e0d9a7c67b2ee7645
26337,https://github.com/cran/IIS,swh:1:snp:4d019af6b96f111bdef8e16978c608e809a08a48
26399,https://github.com/ElsevierSoftwareX/SOFTX-D-18-00009,swh:1:snp:31f06f9ddeaa8bc0a6179400a87a4b34d4187de1
26400,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00050,swh:1:snp:51267374a53112f944ca1eaaf3d4cd62e523b16c
26402,https://github.com/ElsevierSoftwareX/SOFTX-D-18-00007,swh:1:snp:0e538d0f7991a241d318fed9b71bf02cad325df0
26421,https://github.com/cran/relaxo,swh:1:snp:6fb74817bd834e8e7e65bae4cff1c49006f63113
26429,https://github.com/christellevincent/genus3,swh:1:snp:0df91751915f51c9e552dadbf24f9ed9d0e0afd5
26437,https://github.com/cran/asypow,swh:1:snp:29ff0945ff524649f26c86bd3ada827488b47de5
26449,https://github.com/pcarbo/admixture,swh:1:snp:01990ac57b74487a428bd39fcc4efeaade82a414
26464,https://github.com/LUMII-Syslab/viziquer,swh:1:snp:66d0ab03a031bb7092857a731fb5514d171fda4c
26468,https://github.com/arthurxlw/cytonRL,swh:1:snp:2f4856fb93280da1a17ad40131caa51f665e2f8a
26472,https://github.com/cran/eggCounts,swh:1:snp:0c9b3da727ebe0ce1ad603d0f9d32a1e92db7809
26480,https://github.com/California-Planet-Search/radvel,swh:1:snp:2680247f165a8491e6e0e87ebd32c362d0a6d5af
26486,https://github.com/gwastro/pycbc,swh:1:snp:5be05f96e7ee8dda95437948689fad7e452f8caa
26491,https://github.com/catherinezucker/radfil,swh:1:snp:1ab5a066ead5b022298de44a1aaef751a94ec9ac
26501,https://github.com/bfarr/kombine,swh:1:snp:3a42ec428a3b3b47859b17e9ff9e915b812ed450
26503,https://github.com/gcowan/RapidSim,swh:1:snp:4a33b53d39f969515631787d05f8e407b7fdd964
35938,https://github.com/networkit/networkit,swh:1:snp:0faf4a242643674f673af0146d3e18f59c216753
35946,https://github.com/riakymch/exblas,swh:1:snp:9987c9a3b5755418d9289824866230041b98d690
35948,https://github.com/inducer/cgen,swh:1:snp:959d3b1ae93c1c4cda6088a6097f02096485c585
35949,https://github.com/intel/yask,swh:1:snp:3094c82244bfaacc3b4753ac9d7c58a3b427e3a9
35950,https://github.com/NVIDIA/cutlass,swh:1:snp:d7180ccd0bb524433444d61b8f200c0c9e8685f8
35951,https://github.com/MohammadYounes/AlertifyJS,swh:1:snp:4776e8029f0da47eb227582d35b7cf73421489fd
35953,https://github.com/BaderLab/AutoAnnotateApp,swh:1:snp:a4b66e0a04433b55332ab2ed8752f1f79303ad77
35954,https://github.com/cytoscape/cytoscape.js-qtip,swh:1:snp:6ba56291383465befc4d61eabb0412207d0e78a6
35955,https://github.com/HubSpot/vex,swh:1:snp:1b891f29320fa886dea9e67a35ecec5c89056ef9
35958,https://github.com/gpg/libgcrypt,swh:1:snp:81b0d40ff6753a20554af13c2ab0ad8ed352b7fe
35959,https://github.com/Alberts-Coffee-Hours/Mastik,swh:1:snp:e69e0a8d17a7f522648c72dfd69f1d0a439f28de
35961,https://github.com/fiji/QuickPALM,swh:1:snp:95c5b1a4f3387992d8def578ab6c252d81d97088
35962,https://github.com/zschutzman/enumerator,swh:1:snp:e08a00ff19ed664df2dd73198bc92814c29240fe
35965,https://github.com/imagingofthings/pyFFS,swh:1:snp:4e278b7d41bc10218704a034113966c7fa9098cb
35966,https://github.com/lebedov/scikit-cuda,swh:1:snp:db2895236800e7478131f73bcdc9acd82719de19
35968,https://github.com/SEELab/enaR,swh:1:snp:796b51159ca43d2338ef441022e2077db516bc7f
35970,https://github.com/msteyvers/matjags,swh:1:snp:d81f4c5650394aa5e1f49242add2894c3a1ce71a
35972,https://github.com/matlabfem/matlab_fem_elastoplasticity,swh:1:snp:bf43401385fe2ef394ed3eb861e10f39acb9c4e8
35988,https://github.com/nlmixrdevelopment/nlmixr,swh:1:snp:cf62ddd2c061d3f8aed9493e8cc6cd35719f6bb6
36443,https://github.com/hendrycks/GELUs,swh:1:snp:7ceaa3fee73a236db97b692746b2aa6ffda38e8e
36444,https://github.com/teganmaharaj/zoneout,swh:1:snp:d7e855cd8893f8c2e0ad166b8d34f5508c122f06
36445,https://github.com/imatge-upc/skiprnn-2017-telecombcn,swh:1:snp:d52905290fb5a82315debd2861b2d0613f61205f
36447,https://github.com/deepmodeling/dpdata,swh:1:snp:790a34cd49b1f55c05fb5652c202b78167a33f4b
36448,https://github.com/flandolfi/clockwork-rnn,swh:1:snp:bad8f277986bc271543667b6bbb6ebc919899981
36451,https://github.com/philipperemy/timit,swh:1:snp:1f4c66e7a26cea76e689f5ffacee2a6aa57864df
36456,https://github.com/xindi-dumbledore/L2P,swh:1:snp:2f946ccca262af8d8927ba1ba4c5bb2d8ba763f1
36457,https://github.com/stavskal/ADASYN,swh:1:snp:3c91427d3a11a0cdac45aba2127268181fa046e6
36459,https://github.com/bauer-alex/FoSIntro,swh:1:snp:6a8900dd021d50eae30589fad2ed70ff21d803df
36461,https://github.com/ropensci/coder,swh:1:snp:7d472fccc0c037459dcac63f8a81c63f04f46854
36464,https://github.com/ropensci/SymbiotaR2,swh:1:snp:3e80e24cec07c8cbdc86e2d235fe362d924e818b
36466,https://github.com/Symbiota2/Symbiota2,swh:1:snp:4b62bddb10c20761882a87fd7a2c5603a209acc1
36467,https://github.com/alan-turing-institute/DetectorChecker,swh:1:snp:a5ce0e71560594aef53566dbab695dc4cc944e3d
36468,https://github.com/cran/ggstatsplot,swh:1:snp:922a83639ebab3c56b40143c2aacbcf59aa27951
36472,https://github.com/Climdyn/qgs,swh:1:snp:da090ae134faed675a5f84eb60959dd3c8bc2fb2
36473,https://github.com/SciML/diffeqpy,swh:1:snp:f6ccc1dc568f86886b718820228581dffe2ecb85
36474,https://github.com/Climdyn/MAOOAM,swh:1:snp:66fe44fc6332159ff42d769569d8283afd25c0f6
36475,https://github.com/ExeClim/Isca,swh:1:snp:fafdb80f213280bf2d1b7b45e293ccb2ef67b94b
36476,https://github.com/benjaminbolling/DynaGUI,swh:1:snp:b0b7cf7da039bf14dbb5e11041c8197079bd3830
36478,https://github.com/EMResearch/EvoMaster,swh:1:snp:fcf0a39dc0c70be1a40c43e3ed8f3e842a0b5490
36479,https://github.com/microsoft/restler-fuzzer,swh:1:snp:2da244ec1ced3837c80bdca60195cff171cd064b
36489,https://github.com/stefanloock/pyshearlab,swh:1:snp:9559a6918e50ea821c7131ce4c02ded222e32681
36492,https://github.com/cran/HIV.LifeTables,swh:1:snp:f0278c0c336ca12ed4fd16ff4ce05070ae3278a5
36493,https://github.com/cran/clere,swh:1:snp:7ead77f0d9a773eace610fd867fe4c246a3fb943
36494,https://github.com/ac20/Power-Spectral-Clustering,swh:1:snp:f3847e333526ac7b8779d723701429c52a1f836c
36495,https://github.com/leoribeiro/struc2vec,swh:1:snp:2256303a05f29282c4fce1702f6fa694fddfc881
36496,https://github.com/MLDroid/subgraph2vec_gensim,swh:1:snp:332113e230edaa4addbe593669f26837ba596cad
36497,https://github.com/SkBlaz/CBSSD,swh:1:snp:0ec8c7e3fc2765d4897b650f584e97afabf7c4f6
36498,https://github.com/SkBlaz/py3plex,swh:1:snp:c87f5b21b2a52857c89184016c1920da778446a4
36500,https://github.com/jbytecode/LinRegOutliers,swh:1:snp:175293b628ad53bf1e558c6c34f788078fb727ed
36502,https://github.com/BryanPlummer/flickr30k_entities,swh:1:snp:71dae7db592919b859188df42d732dc1166eb9af
36503,https://github.com/GuiTeNet/guitenet,swh:1:snp:d5e03b0e22091e87b15ce4b3ad9242e322b146ab
36504,https://github.com/Everglow0214/The_Adaptive_Dynamic_Programming_Toolbox,swh:1:snp:71420bd2d2e84e8ebd46d0b2f7aaff9f0bd31b03
36505,https://github.com/limw0601/torus_collocation,swh:1:snp:ab6a51ee70f44f37c9572c2ba5b72d20866385c1
36506,https://github.com/GT-Vision-Lab/VQA,swh:1:snp:88acad0bab925705e62d42d12d6c0dd4fd789b54
36508,https://github.com/OpenNMT/Im2Text,swh:1:snp:60a5ff441963cd283aed5db73be51db2a7607cfe
36513,https://github.com/ethz-adrl/control-toolbox,swh:1:snp:4661b4cfdbe862e65bb8d89f0d1449c8af3c52ad
36521,https://github.com/microsoft/uprove-csharp-sdk,swh:1:snp:ac1e720c5c11c133c672c07361eda4d54eb8a398
36524,https://github.com/JuliaEnergy/PowerDynamics.jl,swh:1:snp:738cfc048799fc90ed8106e41bba6bb4eda95b15
36526,https://github.com/FHell/NetworkDynamics.jl,swh:1:snp:792d145a34113147023cd3cc13c53dadd428cc35
36527,https://github.com/JuliaSmoothOptimizers/NCL.jl,swh:1:snp:360f224a78e86cd2dab8b6bbc2aef5883507bfb0
36528,https://github.com/paulflang/SBML2Julia,swh:1:snp:cec22d0c64ca33adef6a1a6b2c73624a810bf1ca
36529,https://github.com/kose-y/DistStat.jl,swh:1:snp:4b0cea5005e2e84de4aa56682c7564b0f01d972b
36533,https://github.com/breakspear/bdtoolkit,swh:1:snp:7ed706504e6f0adf7d908c6bda18b53e67ee1e04
36534,https://github.com/susantoj/PYPOWER-Dynamics,swh:1:snp:38e491c082e877be54bb1fa92ee294a0ab0beaa0
36536,https://github.com/NREL-SIIP/PowerSimulations.jl,swh:1:snp:f6ed87dec34c434e7343d22f99b3c1ddde850e71
36537,https://github.com/NREL-SIIP/PowerSystems.jl,swh:1:snp:e5faf1e7e77f7c80e15307989776f34e311824f2
36538,https://github.com/SciML/StochasticDiffEq.jl,swh:1:snp:c88245afcb67643875d96d9080d861c8fbf2fda5
36540,https://github.com/JuliaSmoothOptimizers/AmplNLReader.jl,swh:1:snp:b5f78d64ac5808c8f8f53d3c4dc9079b2fe9505e
36541,https://github.com/JuliaSmoothOptimizers/NLPModelsKnitro.jl,swh:1:snp:6a3d136be0045701a1eca0f3c4de87d98af7b98a
36542,https://github.com/JuliaSmoothOptimizers/NLPModels.jl,swh:1:snp:8c5ef5c6790f05f4efd5be83beed257656bd35b4
36543,https://github.com/JuliaSmoothOptimizers/CUTEst.jl,swh:1:snp:585f1e7c0f4841be99b280f6b31df150c25d6738
36544,https://github.com/PEtab-dev/PEtab,swh:1:snp:4a89a0d1d7b6b93758e313963ce837f75bfe9b87
36547,https://github.com/chriselrod/LoopVectorization.jl,swh:1:snp:e7fcd4a979d109ebec72e9c7d7501b63b887792e
36548,https://github.com/barche/MPIArrays.jl,swh:1:snp:7b3ba65b2de652d71a5a61aa7724866c612c770f
36549,https://github.com/linas/anant,swh:1:snp:fd483ba2c3ff828837e8361460b1df00702a8a5e
36551,https://github.com/Expander/polylogarithm,swh:1:snp:5332825afedba8a649d20f25d26d687614e8d457
36552,https://github.com/s-broda/ARCHModels.jl,swh:1:snp:934cded0b6e7997dc412e14bb2a46b1b1652eedc
36553,https://github.com/TuringLang/Turing.jl,swh:1:snp:16425e1a30f4be8c5319a4dbfdcd886a5e7341ae
36554,https://github.com/tlubitz/SBtab,swh:1:snp:befce7a440188b5014ac56e14e9956153cc68526
36556,https://github.com/Herren/RGEpp,swh:1:snp:113406ddb21554b7cd70b48f798d955710a53068
36559,https://github.com/SauceCat/PDPbox,swh:1:snp:cb9acab69c0c26f69d2df039c272c8968dd24d67
36560,https://github.com/fairlearn/fairlearn,swh:1:snp:271bfce8df42a8d47d3342710a245bb25e307ef5
36561,https://github.com/ModelOriented/Arena,swh:1:snp:eb11bbe1b93820488b8404dbc199f542610a4b61
36562,https://github.com/bambinos/bambi,swh:1:snp:4c52d3a8dd58d2e70d7e4d49b3f4f9074b5d8722
36565,https://github.com/bcornelusse/microgridRLsimulator,swh:1:snp:a62571c1e9045e03d99cfc1d7875c733aa600ff7
36566,https://github.com/squoilin/MicroGrids,swh:1:snp:237c4070c48c003a237d1a78bee8b538d444adc0
36571,https://github.com/njian/convexity,swh:1:snp:dd399a3a4a197a98df135449700b159117631ad1
36572,https://github.com/cran/amen,swh:1:snp:5575a8b74a4de2288fc68b10cdad6c5b9bb17458
36574,https://github.com/dmitryikh/nla3d,swh:1:snp:ea67ada09fd3c24ca58dec34f5a732ab132e683a
36576,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00052,swh:1:snp:126e6e36f727f2f8684e46d3b0da32861caa6f5f
36577,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00063,swh:1:snp:7565770d6456d7983b780c9bc64e5c74884398d7
36580,https://github.com/cran/FCPS,swh:1:snp:75f3310efa69d5a4e42966a68543ac5a192f0c98
36582,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00024,swh:1:snp:ebbeb9d60a7d2a7d727668a17173ff3caf050f59
36583,https://github.com/PeptideWitch/PeptideWitch,swh:1:snp:9553aee515f1e877176b05c9b518ef132dd5972f
36584,https://github.com/compomics/thermo-msf-parser,swh:1:snp:9865803f0d587451f3a422f79600b1b69bc1243b
36585,https://github.com/edvin/tornadofx,swh:1:snp:4c45ed84ba640de9233daa4d97a08129dd66d0f5
36586,https://github.com/ElsevierSoftwareX/SOFTX_2020_63,swh:1:snp:7e475b74384c227807effef104c016095e63f8af
36589,https://github.com/dicengine/dice,swh:1:snp:ca23d4052fe132790888c648859cb48b83cf8f29
36590,https://github.com/Geod-Geom/py2DIC,swh:1:snp:c93be0d6b92e8c86b6a282b6ac73ea34764269ad
36592,https://github.com/ElsevierSoftwareX/SOFTX_2019_193,swh:1:snp:b9c1a742d73aaf09660977fd41ea3d71ce531790
36377,https://github.com/PyFstat/PyFstat,swh:1:snp:4d609edaa1565bfdead53ba9fc20c9a2ad1ad408
36379,https://github.com/JuliaHCI/ADI.jl,swh:1:snp:f4ac62d47507b52691c38dcdb47a7f60cf0bf717
36383,https://github.com/PynPoint/PynPoint,swh:1:snp:da2380ac6a6439de17fdccd531b6ee80db1c3488
36384,https://github.com/vortex-exoplanet/VIP,swh:1:snp:6f3517ce3b191ecc678ab96fa5398da2113ac8d2
36385,https://github.com/bpairet/mayo_hci,swh:1:snp:a20887f3b052b64f5a1893f283e4aac2a63ef701
36386,https://github.com/SasView/sasview,swh:1:snp:1d11115735c30f9521facd4076a8fd9a20e3ca13
36387,https://github.com/biochem-fan/CrystFEL,swh:1:snp:10db68373e41fedde38e155ecb416b3719943441
36392,https://github.com/Hanieh14/CubicSurfaces,swh:1:snp:45a5e2391e3334a72122ec56d8af969c05fa3fdc
36394,https://github.com/aoterodelaroza/asturfit,swh:1:snp:a64926bfe486aa12d6865e5c3cc07ae2eb872abb
36401,https://github.com/JuliaSparse/Pardiso.jl,swh:1:snp:24879ad0e89e515bd6988191e9ac3eabee8bb6b3
36402,https://github.com/jipolanco/WriteVTK.jl,swh:1:snp:0bfdcf78e9ef7b5bce35bcbb23dc67c9c3c52a11
36403,https://github.com/sglyon/PlotlyJS.jl,swh:1:snp:2d9dd7b4b04101a03f7e25c282a1be438a9ca031
36410,https://github.com/eth-sri/silq,swh:1:snp:2cb25e2f820b4b101d183182bd4ce67be0e128d5
36412,https://github.com/project-fluxo/flexi,swh:1:snp:6730b5c29db5c52a1c0577958808f38110044edd
36413,https://github.com/flexi-framework/hopr,swh:1:snp:b4f4fe36e2ad98decdc025eb34bc395b65f3190a
36415,https://github.com/cran/PoissonBinomial,swh:1:snp:a7d1308ffe22e42cd40a9d13e4a64ab1593cb068
36418,https://github.com/GEM3D/PittPack,swh:1:snp:ce237965cdd9c17ebf71b7e746bb138e53ab21e5
36425,https://github.com/cran/intdag,swh:1:snp:5c4edac7d2ca6500af95dc17917a1b262b8d99c2
36429,https://github.com/google/oss-fuzz,swh:1:snp:ca4887598b928d8062a54612447487205cbd3896
36442,https://github.com/deepmodeling/dpgen,swh:1:snp:dfa8064757c09f52336f70687545c4f4ef4b95be
36737,https://github.com/larsmans/seqlearn,swh:1:snp:5353e04e5b94054fd6580e673ab3e24b95e97e52
36741,https://github.com/pjastr/NoCK,swh:1:snp:747456a295c0b5d2553f00e991f30ff4b7e52f91
36755,https://github.com/roserhp/GraphicalModelsMLE,swh:1:snp:836e1299a826e730cc314b1d7dea8b6c1c11486a
36769,https://github.com/tornadoweb/tornado,swh:1:snp:e82a78464028e2b7038a6ed39f909a97faeeb406
36775,https://github.com/lift/framework,swh:1:snp:00bdaac3c0bff719e65beaed5a401d5d45ee01a5
36780,https://github.com/ldspider/ldspider,swh:1:snp:92892f761a1eea3c41568176d0a051f73df73795
36792,https://github.com/pwnlabs/nusoap,swh:1:snp:5a229e5991094be12518869debbe09af17ca3b2d
36800,https://github.com/gedaskir/qmeq,swh:1:snp:78770110d27dececa83322742535d25543fffe79
36804,https://github.com/prajwel/curvit,swh:1:snp:4ec5ab492f91c5ea27967465915e4b7d2ec70362
36805,https://github.com/astropy/photutils,swh:1:snp:1061faa58ca645b1bf93f0b75ba2db0399c94672
36807,https://github.com/dpapp-github/alfonso,swh:1:snp:08b68cdf783363f0279c6e9a366b3e3417077c4d
36809,https://github.com/biswajitmb/DarpanX,swh:1:snp:5254a20b42f4224fef1b376ed1b5bde7e7e427fc
36813,https://github.com/cran/UPG,swh:1:snp:a880db49e53508e78e4431629c11dd3ea95f27bb
36816,https://github.com/cran/binomlogit,swh:1:snp:5a1d1925a92b283eb5178523d1f7d6b81eea44d9
36820,https://github.com/cran/multinomRob,swh:1:snp:f054046bd16ac239c648d7142b9c79f031474128
36834,https://github.com/mikolajb/cookery,swh:1:snp:cd2bc32e38ad0aada0fa090c2923cc691d710732
36839,https://github.com/leanprover-community/mathlib,swh:1:snp:6ac2bad6d01a136c67b3204cd17f43da668a93ac
36845,https://github.com/oscar-system/Oscar.jl,swh:1:snp:1f1b98e9426204723a881d36b75fa56752c76968
36847,https://github.com/vmware/hillview,swh:1:snp:52c72071456a5e8eeeebb601ff92dc376ec4cf61
36848,https://github.com/DataSketches/DataSketches.github.io,swh:1:snp:ad72685bb60613636e3372f29f39741325442804
36849,https://github.com/obdasystems/eddy,swh:1:snp:4b92a79db9b9f3ae153154fe3a774f23101ed1e2
36852,https://github.com/project-everest/hacl-star,swh:1:snp:ddab6351e2d832f5bb198a1a10358293cc3829bc
36856,https://github.com/refnx/refnx,swh:1:snp:ab28b941798dd6fbb6a62c277140d712e756d68e
36857,https://github.com/debashischatterjee111/BPviGM1,swh:1:snp:a53499853223312e38ebf6e23a69832731135b9c
36859,https://github.com/wangjie212/TSSOS,swh:1:snp:065e00e9742a0ee5db043a5d521ce6fd98795df5
36860,https://github.com/cran/SGB,swh:1:snp:e81c5539c2b3135bedddabbfb671e774876c616a
36862,https://github.com/livioivil/TextWiller,swh:1:snp:6470001e66c9854db59ff2b510a835bb75e09f06
36867,https://github.com/cran/collapsibleTree,swh:1:snp:5df40fbb578e9df735fd842f15694a9c30da6880
36871,https://github.com/Yelp/MOE,swh:1:snp:9c7bf1ab31e6ac577776f19c4a2c8e832310f8e8
36872,https://github.com/yzhao062/PyHealth,swh:1:snp:81aaf926555d8bb24b070cc3aa03b51bd7cd8e22
36873,https://github.com/HealthCatalyst/healthcareai-py,swh:1:snp:1413de441a8cd4beb8f15f9d6d2db9f510310cb8
36874,https://github.com/v1xerunt/StageNet,swh:1:snp:dc4fa571d6225237e63bc5d12fc5f62fdfe562be
36877,https://github.com/benmiroglio/pymatch,swh:1:snp:f592c3d10184263a3cb8c9a38d1e7cd132f9f60b
36878,https://github.com/microsoft/dowhy,swh:1:snp:912b83e9cb6980cb274548b42658bc8f3d9c8c0c
36880,https://github.com/pmelsted/KmerStream,swh:1:snp:4a66e1dbb260f8ba73eeded0893eecdf3b55d316
36881,https://github.com/juliangehring/SomaticSignatures,swh:1:snp:0ab29e8b0373a557f0bb1326bb3ac7b690ab661a
36882,https://github.com/dbottomly/HitWalker,swh:1:snp:118a2e054d47cd749005a820537fc0532b22138d
36883,https://github.com/charite/jannovar,swh:1:snp:30a257885eb518dc94d12aa6d9c8bc1b76139ec9
36886,https://github.com/samtools/bcftools,swh:1:snp:0081ef1e6cf5354465d1704c4f911072d398686b
36895,https://github.com/bcgsc/ntCard,swh:1:snp:9765a9dc233d6d78dbee568f9c2afba0f84bcc2b
36896,https://github.com/splatlab/squeakr,swh:1:snp:d5b6082db4e3203f309f5b24228420f5a7e50e4b
36897,https://github.com/nsivad/kmerlight,swh:1:snp:a0dde96929f420a711d0c58e1e922b51067fb544
36900,https://github.com/ucrbioinfo/EAST,swh:1:snp:c2c7a15e9198f4f4d27eea365b390516ec2949a0
36904,https://github.com/avdeshmishra4/3DIGARS,swh:1:snp:76cbc0f1d5cae5ac6bdffbbdf6965c7fed28fa97
36905,https://github.com/cran/IPMpack,swh:1:snp:c215b4e847be1b6dd819c16e46253269fb18e424
36921,https://github.com/sedoglavic/ObservabilityTest,swh:1:snp:dd86b780b3e52b919b2b724e6ac785925a3259f9
36942,https://github.com/haerski/HELARS,swh:1:snp:ff7f6b323ee728c3c403a39423cfe151d6fd02ce
36945,https://github.com/oxfordcontrol/qdldl,swh:1:snp:db937092efc4cec8464ae880bfe595c30b3e5fbc
36957,https://github.com/jubatus/jubatus,swh:1:snp:0281e2c7659d9d08f44a4d3489d6431d767208c2
36963,https://github.com/ZichaoLong/PDE-Net,swh:1:snp:0481048c7d11ed4c8c33e0043d5a250e47c22695
36965,https://github.com/micromagnetics/magnum.fd,swh:1:snp:415538206df5d404dbbcba1be0056fbfb7e4f23e
36966,https://github.com/micromagnetics/magnum.fe,swh:1:snp:58f4bdf362558197a60a2d86df3e926f74c33515
36968,https://github.com/mrzResearchArena/PyFeat,swh:1:snp:3fc1a7fb56179b6e8908aa8d965ced4f6b3db9d0
36969,https://github.com/Circuitscape/Omniscape.jl,swh:1:snp:66c5a4eacff57ab747b48fbf8e2f4abc195d94af
36970,https://github.com/Circuitscape/Circuitscape.jl,swh:1:snp:84741faf88e3ac618df01163476549324e857e05
36974,https://github.com/EcoJulia/SimpleSDMLayers.jl,swh:1:snp:38902efa48c7dc5ca29527331a099c0ba7ad6738
36975,https://github.com/EcoJulia/GBIF.jl,swh:1:snp:6252ccdb30caa973114049dc61d58134c22dfd69
36977,https://github.com/tudelft3d/3dfier,swh:1:snp:58426e490eaf5730f0d20bc88e7d1de8d55c1511
36982,https://github.com/flor14/shinyssd,swh:1:snp:c872335d4a0d66894bc248508dc6f6d1e0f4d593
37222,https://github.com/JuliaStats/PDMats.jl,swh:1:snp:a0dc7a1f0d2a1ee59ed32c9d9308fa108e4eaf4d
37223,https://github.com/JuliaStats/StatsFuns.jl,swh:1:snp:58a50ad7ddcfb19d5fb022927eb5a1b05ba6b3f2
37224,https://github.com/JuliaStats/KernelDensity.jl,swh:1:snp:027ba0284a6bce0a513593ffc19607042ae80d55
37225,https://github.com/cran/nearfar,swh:1:snp:84469d29986f2046d8cfb9647329b94b410d8c60
37228,https://github.com/cran/multipanelfigure,swh:1:snp:638dcd554165efc97acaa6e63f03bc1e913218ce
37230,https://github.com/cran/stampr,swh:1:snp:2e7407957ccc3a7c48dfa02e576556e3f87ac3fa
37232,https://github.com/Hua-Zhou/svt,swh:1:snp:30070fb8b1b71121871a4e86561aae8d7467c0cc
37241,https://github.com/ramnathv/rCharts,swh:1:snp:5f2a49bb21a2790a437acac1a111ed60376d6d6c
37243,https://github.com/cran/animint2,swh:1:snp:5f64200631ec4f595cede032c28648352695e85b
37244,https://github.com/cran/treethresh,swh:1:snp:161b8ee26e8c245ebb34590bf239f2d8c9206210
37245,https://github.com/cran/colorRamps,swh:1:snp:98c7ef8d3d69abd66cc3359d69d648c19ec53c16
37251,https://github.com/cran/SNPMClust,swh:1:snp:ba94b288e99758c21c8e238bab204a2e0fe42b53
37259,https://github.com/benjann/estout,swh:1:snp:c2bc65022cc09d5082c8422452a6911ecd054943
37269,https://github.com/cran/truncgof,swh:1:snp:b37cd71ba898b6add65eccf13a7db9522b1a2268
37274,https://github.com/cran/kolmim,swh:1:snp:3c19f962c50a32d5aa8988a883bfa5c5a5bef14d
37283,https://github.com/menghaomiao/aitr,swh:1:snp:c2199837ef5e125b73838233779fc997aa8e3cd3
37285,https://github.com/arthurpessa/ordpy,swh:1:snp:483a932da7b838eb054ad4cd872d43bc60c27040
37286,https://github.com/felixpatzelt/colorednoise,swh:1:snp:832305b37e82d26c91618dec6dacf082ff4b023e
37288,https://github.com/cran/palasso,swh:1:snp:de035c8e41a38affbc765b2c2a350cf3c2cb010a
37289,https://github.com/kkdey/CorShrink,swh:1:snp:5d929aaab7143565f75540ffe7f68169c480870d
37293,https://github.com/DynamoRIO/dynamorio,swh:1:snp:b2eb70a5770f7ef1cfaf82391cefdc1c59c73e25
39088,https://github.com/cran/d3r,swh:1:snp:6b0758f85f2a0a482b9702bd98fffa619721fd4e
39089,https://github.com/cran/ggiraph,swh:1:snp:5d31518f694b57175ed03f6830ca9384e5c1b645
39093,https://github.com/jogonba2/TWilBert,swh:1:snp:cbf58e3bf291d898fe336ac2315aa4e39e18c1d8
39094,https://github.com/VinAIResearch/BERTweet,swh:1:snp:378218e494b8ebd3b0c30f5a1852d7dc8d7bebac
39099,https://github.com/allenai/scispacy,swh:1:snp:0b43a8d684da15692a932a1b7587b76c83aadace
39100,https://github.com/NLPatVCU/medaCy,swh:1:snp:fb6ae3c11c7315cec2e70bc9012b5bf6d533b645
39101,https://github.com/jianlins/RuSH,swh:1:snp:452f15de968ba4487db3961809d692616926d895
39102,https://github.com/Georgetown-IR-Lab/QuickUMLS,swh:1:snp:6c354cf6aef4e9f5fbce3501b6c5f0b78a42bf3d
39103,https://github.com/Blulab-Utah/VAReadmissionMoonstone,swh:1:snp:6ef61c94d76964d90a1a84ad4cdc2033b9bb8a3a
39105,https://github.com/department-of-veterans-affairs/Leo,swh:1:snp:27908a62e17ee37d5cb65fec5e888ebe9dae46c4
39107,https://github.com/Tencent/TFace,swh:1:snp:0f6cd0df48d866378a651ab33f391764502d9a4c
39108,https://github.com/wy1iu/sphereface,swh:1:snp:15c3e487a5a7b2563169cbcc8662da393c234753
39109,https://github.com/yule-li/CosFace,swh:1:snp:9baa6acfec0f3a7f0229604e7d4c261f8821982a
39110,https://github.com/RomanSchefzik/SimBPDD,swh:1:snp:70f3c752c8dcd125097469c30a3563012dfe71e4
39111,https://github.com/nghiavtr/BPSC,swh:1:snp:1e8cada646296b0e9a5440c60ffaab07a776762d
39113,https://github.com/dhutchis/LaraDB,swh:1:snp:8ac6196236adb70e7573906b3899e82d3823e526
39114,https://github.com/JuliaStochOpt/StochDynamicProgramming.jl,swh:1:snp:0aa70c56a62c06762d6ebd0a6433300df600c114
39117,https://github.com/lingquant/msppy,swh:1:snp:23bdeef76b83c9817ee4d1425bc270734af66ae7
39121,https://github.com/brendano/tweetmotif,swh:1:snp:473a3a3c0d8c974fd649d8f92f6e50b23589b5a5
39123,https://github.com/franticnerd/geoburst,swh:1:snp:3a9e2ca45286ccd9953bd610ba5d579b26dde881
39124,https://github.com/aschmidtuulm/ameshcoars,swh:1:snp:3e3593cd8ecb1baff4481587bdf34ab671c03b52
39126,https://github.com/leowerneck/SFcollapse1D,swh:1:snp:1085d17224a7bbfa003667a73c4343b499bfba57
39127,https://github.com/zachetienne/nrpytutorial,swh:1:snp:bd8daeea38a1654ad548eb650ec43727cce1ae61
39128,https://github.com/zachetienne/nrpytutorial,swh:1:snp:bd8daeea38a1654ad548eb650ec43727cce1ae61
39130,https://github.com/cmusphinx/pocketsphinx,swh:1:snp:4db0d74cc627c2ca9b394c0770b7163bd09a7e2e
39131,https://github.com/freewym/espresso,swh:1:snp:937e3e3c612086c2fc92ad8640d7d22e1df44def
39132,https://github.com/asteroid-team/asteroid,swh:1:snp:522ab76335f3468dd78d6aedeeea245bd987dde0
39133,https://github.com/pyannote/pyannote-audio,swh:1:snp:ff2f32f66cdb598426501edd5013595c095f0264
39135,https://github.com/murali1996/CodemixedNLP,swh:1:snp:a26c6e7df15e936ad5f6cadc6d8014b42ee4af49
39137,https://github.com/helboukkouri/character-bert,swh:1:snp:8954fdf36c21eedae99099701eea8c2b9d80f073
39138,https://github.com/goru001/inltk,swh:1:snp:68a02643ba77c879678b205781be196d8be1d761
39139,https://github.com/microsoft/GLUECoS,swh:1:snp:17ede490371cbb54a62a056b0a185c8fa3acfe10
39141,https://github.com/facebookresearch/libri-light,swh:1:snp:2d6e64e4d0ce50f2e92d5d3f64d53e004b2a859c
39143,https://github.com/facebookresearch/voxpopuli,swh:1:snp:85b6341281595b304228a97175b9bf03eff5f77f
39144,https://github.com/k2-fsa/k2,swh:1:snp:635815d66457fd475feab03be1f7eb132294b41b
39147,https://github.com/codac-team/pyIbex,swh:1:snp:1198ebc6bfd8028abc8ecbc69d36ea4cfcf9b221
39152,https://github.com/icascos/expdepth,swh:1:snp:09f0070748039d4b5c2ea53381e02b6861910cae
39155,https://github.com/Anaxagor/Mixed-Learning-of-Bayesian-Networks,swh:1:snp:01284e6dc7db81089acb89c04bac16935bdeeda5
39156,https://github.com/pykale/pykale,swh:1:snp:230c9f1d3c27f07af4732216a8938cd7dc8f016e
39157,https://github.com/facebookresearch/mmf,swh:1:snp:20485003ae2a09b3a0baed218682370a685f1e44
39158,https://github.com/rusty1s/pytorch_geometric,swh:1:snp:67573dc827527b9992e37fd22dff7c93f520c6d1
39159,https://github.com/hkmztrk/DeepDTA,swh:1:snp:7cd593cf571fb774c6d6c1a8988dcda9dd3016f9
39160,https://github.com/Shen-Lab/DeepAffinity,swh:1:snp:56d87f3557448e05d649478cbfba8dfb26f858e5
39165,https://github.com/maple-research-lab/AET,swh:1:snp:bb32bfd3b32f6b34f2c8ee05f95f71345b0b1614
39167,https://github.com/pydicom/pydicom,swh:1:snp:29394dd72cbfa70088456cb41ea37c8c78920bd6
39170,https://github.com/fdreyer/LundNet,swh:1:snp:5b713652a167b9b77adfeb6feb960883dc6307d9
39175,https://github.com/clason/nlpdegm,swh:1:snp:b67bb49ac31d7699a0a3fa14b4d940fdecc319ee
39176,https://github.com/redmod-team/SympGPR,swh:1:snp:2150f00dbb33d12adea456749cbe258633e8c68c
39177,https://github.com/redmod-team/profit,swh:1:snp:930dffd2b548bc3186ec3b519a105f84a23a844a
39178,https://github.com/8080labs/ppscore,swh:1:snp:357f50f010f505eb0bc6d55122a0f98cf14368a9
39179,https://github.com/cajohare/AxionLimits,swh:1:snp:03929566495826d375821c51be51332c92bf3550
39312,https://github.com/abstern/py-SMACOF-weighted,swh:1:snp:cd81fccae258fb88b8d54bc107ae251b86d6e301
39316,https://github.com/kinnala/kirchhoff-nitsche-ex1,swh:1:snp:4033681d16a4b73f37519903a225710d27ef0b11
39317,https://github.com/kinnala/kirchhoff-nitsche-ex2,swh:1:snp:1f633f688ec77a6ba31c11d3a9ab9bd95d3315cf
39318,https://github.com/kinnala/kirchhoff-nitsche-ex3,swh:1:snp:49bde3627008066858a648ff97436a89aec83e50
39320,https://github.com/IMMM-SFA/mosartwmpy,swh:1:snp:f12213405793706a67976441a5f1771ad72199a4
39322,https://github.com/OpenCDSS/cdss-app-statemod-fortran,swh:1:snp:0795830d4b9adba17d7cfce275a9742072da4373
39323,https://github.com/openearth/glofrim,swh:1:snp:362bd02706e28536bb7a11cfee562c5a1450c079
39325,https://github.com/sam81/pychoacoustics,swh:1:snp:1312289c9727dc9eac5464325b4de7ee5499e9d1
39326,https://github.com/brian-team/brian2hears,swh:1:snp:e9a9e2a5bd236461254b382e0a63b2f2ef71a0e4
39327,https://github.com/spatialaudio/python-sofa,swh:1:snp:1bf174617b20a861a1482affc2e6ac3a7fadf3d6
39328,https://github.com/andresperezlopez/pysofaconventions,swh:1:snp:628d9c76ca1eeaf9cb953d6c86b6ef8f9bc68f95
39329,https://github.com/geospace-code/h5fortran,swh:1:snp:d6b9316d9dd2d9f401bc967175b7d8220184824b
39330,https://github.com/DavidAce/h5pp,swh:1:snp:094a093d1c1b15a666b53e9e9b85f87f92f9180e
39331,https://github.com/geospace-code/nc4fortran,swh:1:snp:fce121f47da94f8262d9ce670aeff1b067400980
39332,https://github.com/fhoefling/h5xx,swh:1:snp:7d1e83eb36399fbe9435271167799160902ca426
39333,https://github.com/jterwin/HDF5_utils,swh:1:snp:74fab2c645cf9354b20dc1a629a9a7c5ae0dd011
39334,https://github.com/gemini3d/gemini3d,swh:1:snp:05987469bbb35da62bd7a4ec0244f7341704358e
39341,https://github.com/scify/JedAIToolkit,swh:1:snp:0f92848304d041b92c9d5ff2d0e53c7ca906e800
39353,https://github.com/google/draco,swh:1:snp:e983ff5424dd5ceb396be39309d922ecdffca099
39357,https://github.com/UDST/urbanaccess,swh:1:snp:100a1149cf577efa304eeae04fd8ccc4b3187980
39361,https://github.com/thuml/Transfer-Learning-Library,swh:1:snp:44c7ec0378e318ac4c84f064071b44c1bdf9079c
39362,https://github.com/domainadaptation/salad,swh:1:snp:6f3548e260ddf274e49f4e21967bb2aec53f914e
39363,https://github.com/FuzhenZhuang/Transfer-Learning-Toolkit,swh:1:snp:9c977f7467d4e79ba20a72ba8e496e53a4ae6ccb
39364,https://github.com/Goobley/Lightweaver,swh:1:snp:b02cef1776b143ab0fee532b178330fb93f85aec
39365,https://github.com/Goobley/Weno4Interpolation,swh:1:snp:d2ac47c8839deaafe88c9e000748b8c68e1bdf61
39368,https://github.com/ekaterinailin/AltaiPony,swh:1:snp:a0a660811f5113b32eb270f0eaa7104cb0d1a732
39369,https://github.com/jradavenport/appaloosa,swh:1:snp:b8df69ded5e020d38cd3b378a714e4699d88314f
39371,https://github.com/afeinstein20/stella,swh:1:snp:ffe9063082112dd365cf05d89f70b2e408556694
39372,https://github.com/OxES/k2sc,swh:1:snp:ba73ee83261a2bd3c803e559e05852f52743c7c7
39376,https://github.com/DrHanLim/EzColocalization,swh:1:snp:8562491020cf0863fe30087b4c428c1d4ff2244c
39377,https://github.com/Anders-Lunde/Colocalization_Object_Counter,swh:1:snp:16f5b304a17637304c0d0ef6796b89a5d7ef0a12
39378,https://github.com/Anders-Lunde/Colocalization_Image_Creator,swh:1:snp:cf94f3a8c12b9d60d5a90d4232b2f95015679ab6
39379,https://github.com/datalad/datalad,swh:1:snp:959fd858348e20e29156e865c54a3098aeccf3d9
39382,https://github.com/templateflow/templateflow,swh:1:snp:943775cc1dbc07f0c02c7a1d2571158084914279
39387,https://github.com/david-barnett/microViz,swh:1:snp:220db061ab39613589c843840f4ecda01b6b0f03
39388,https://github.com/microbiome/microbiome,swh:1:snp:38ac6bb1085dd2fa2a3ae3fa3913d6f10860a73d
39389,https://github.com/cran/metacoder,swh:1:snp:9d392554fc8d0ef9916b98f0eed694735bfe10ea
39393,https://github.com/mvlearn/mvlearn,swh:1:snp:68285c37c341ca3485e23279b7eefe5541e5663c
39394,https://github.com/mariceli3/multiview,swh:1:snp:66f9da29234a39c6c6479748fdb725df55729fd7
39395,https://github.com/yotamshemtov/estCI,swh:1:snp:e0023dd90b80fcd2cb6106e05b74c0c19757bf2b
39398,https://github.com/uma-pi1/kge,swh:1:snp:89861905f536d920e121cb862ceab07caf1de904
39399,https://github.com/arohl/gdis,swh:1:snp:ad2a0c6081c3312dc1678c57e29432b9a857b83f
39401,https://github.com/larmillo/GIZMO-CMZ,swh:1:snp:243bb887bc3547435a46eb5cc91840c979ebeff3
39402,https://github.com/tamarit/reverCSP,swh:1:snp:407bed7923320b7dd3639a9194d0c8aaca8ec0be
39403,https://github.com/mistupv/cauder,swh:1:snp:2c4cf76d6cc81190d51dc7897ae9a4d7474d354a
39406,https://github.com/ocaml-community/utop,swh:1:snp:9a391aeeeaed84e34534e8caed71b562f0d87746
39408,https://github.com/aheneliu/tiler,swh:1:snp:4d832da415461ceb944a628ad6144bfe7da2e744
39409,https://github.com/snknitin/-SeeDB,swh:1:snp:c5a9ee5e998bcf373f054d2bc2dff2545f87e9f6
40381,https://github.com/zachetienne/nrpytutorial,swh:1:snp:bd8daeea38a1654ad548eb650ec43727cce1ae61
40546,https://github.com/eth-sri/dl2,swh:1:snp:72bce6a763350ae54b0179acc7e7737658165035
40548,https://github.com/grpc/grpc,swh:1:snp:c52c82ed0146e6aad8edcdcbcde55628edcf17ef
40550,https://github.com/Microsoft/EdgeML,swh:1:snp:bbdee0b54cd7d007c8bf623e62527a1936e52a59
40552,https://github.com/warrenjl/DLfuse,swh:1:snp:65f5d8166ea5cde787802429e4d67b57a4eb5b3d
40559,https://github.com/swufenlp/ConfE,swh:1:snp:a488c57233858cf98c51ac5198952114723f02b6
40562,https://github.com/isoAdvector/isoAdvector,swh:1:snp:074c8a35fa7c24f93e77e75fbe999522a6659dcc
40570,https://github.com/lululxvi/deepxde,swh:1:snp:8ace2deec2d252bbbe03208394b0e79c6fb82a7d
40577,https://github.com/lcrawlab/SINATRA,swh:1:snp:70ff428454d2b576d4b903d2125e0f85540c25d2
40579,https://github.com/cran/Morpho,swh:1:snp:3d4880b0e2e98c8e3793ae554001fde56bfa1338
40584,https://github.com/JakeColtman/bartpy,swh:1:snp:ccaddf9b31d2c1078f1f42b1ef1f28cdfe3e78d2
40586,https://github.com/UofTActuarial/LRMoE,swh:1:snp:afdd8bdd3c39c841697f5c5a8f21bf0397879b89
40587,https://github.com/afarcome/cntclust,swh:1:snp:6b59460cab3378d1fb7c1f2d2465617c6b13dce7
40589,https://github.com/sevamoo/SOMPY,swh:1:snp:6b18754b7e02a00e81f7430fac1c327df620bd17
40590,https://github.com/UiO-CS/tf-wavelets,swh:1:snp:203f0a7ccad14025f9b18b2d54080cc5d56c5f4c
40591,https://github.com/jianzhangcs/ISTA-Net,swh:1:snp:d7462b1117c0501dc6fd3c8398f1c51a227fe68a
40594,https://github.com/marcoeilers/nagini,swh:1:snp:74a5a51aad611eefc5591b7577682897bf1cf529
40595,https://github.com/malyzajko/daisy,swh:1:snp:971762615ce2b842ff5eab4c1cac2f1ce0aa0b97
40597,https://github.com/ElsevierSoftwareX/SOFTX_2019_357,swh:1:snp:83f6c854e8827d6b78243e74611aaf23d9e5790d
40598,https://github.com/ImperialCollegeLondon/WInc3D,swh:1:snp:601cf0e0a7acb263914d99159364e65cae2f7933
40599,https://github.com/AppliedMechanics-EAFIT/SolidsPy,swh:1:snp:35286ac1357097a051e9f6eb51ace51797a59dda
40600,https://github.com/mathLab/BladeX,swh:1:snp:db2608d502dbc31db6f9702fe9bf70abdba86d60
40602,https://github.com/tsudalab/combo,swh:1:snp:db6f3857aaf80f61a36ea43605db7711f0f04ebb
40603,https://github.com/cran/spOccupancy,swh:1:snp:5ba43ce9976abbe8f5ed3db066471b5cbb3956dd
40605,https://github.com/gramian/hapod,swh:1:snp:5ed85423377118b527d61bf779c9a5ef50dfb22d
40606,https://github.com/mpimd-csc/morgen,swh:1:snp:d35796718ba31f73eba84a4d9ef7bd90fe15d202
40615,https://github.com/cran/WienR,swh:1:snp:eec0cc19aba310de5280625120d1b571e590de86
40621,https://github.com/vitst/dissolFoam,swh:1:snp:5ee6c3001ad66a5355efb60f77926ec20f8f7180
40627,https://github.com/chaoyanghe/FedNAS,swh:1:snp:b933a9b7bd564990e78df569ff86b7dfbc5f06b1
40632,https://github.com/cran/sphunif,swh:1:snp:41589c4f48387f3b0451e88283a12e679c241f85
40633,https://github.com/cran/bReeze,swh:1:snp:c59eb17095747c8de43827c0cef445e79cdaf517
40638,https://github.com/circstat/pycircstat,swh:1:snp:86ceed0b7f207ec624c830cf6114fb4944ab5bf4
40644,https://github.com/meszre/tauPFC,swh:1:snp:7e79b61de864fdbccee23d14ff92fe9abd92a373
40650,https://github.com/cran/GuessCompx,swh:1:snp:170771da856cb4711ba2f7554e1149a2bd0a74af
40653,https://github.com/Anabik/CapsDeMM,swh:1:snp:ed17b9064008ece98ec62e4a27dceee322f82e5d
40659,https://github.com/meghanathmacha/xPACS,swh:1:snp:d7d6ce2b8bb5f65c2d2622d9e601b35bc021f42e
40660,https://github.com/Shubhranshu-Shekhar/fairOD,swh:1:snp:9b83bea60cd6941b7437ac28ff7b07f01a929a73
40663,https://github.com/eeeeeric/rSalvador,swh:1:snp:e88b3b119053bcab1d440d76ab272e09682ff136
40665,https://github.com/arborx/ArborX,swh:1:snp:7580ba56e9ce36558327843c995f085dada8b53b
45763,https://github.com/tahoe-lafs/zfec,swh:1:snp:51adf2af23e52a4faffff8dd5214670caeb7f434
45652,https://github.com/google-research/crest,swh:1:snp:c25db7006261f9f1780be3d2e48b65f040bf2aaf
46889,https://github.com/oswaldosantos/ggsn,swh:1:snp:8b40c29e57dc0924d110594653b608e04458d043
46874,https://github.com/JuliaGPU/GPUCompiler.jl,swh:1:snp:116719b0c86de8849817aa4178bf10fba9a7ff17
46842,https://github.com/hcantunc/DyNetiKAT,swh:1:snp:591d2fc7492d28ae8b7d96497ffa5ba90b6a45e4
46705,https://github.com/moves-rwth/attestor,swh:1:snp:8b39585587e0110baa06eb050a2a8079807080f2
45238,https://github.com/remicres/sr4rs,swh:1:snp:f3304f3e5bc72b155c656bdccd4b5f098f812678
45255,https://gitlab.com/feyngame/FeynGame,swh:1:snp:b56c5bc3abe73427d939ef8adb2af5dadabd0e62
46708,https://github.com/jemalloc/jemalloc,swh:1:snp:bcf511591b70bf414542abde369a5b5538c5b681
46872,https://github.com/JuliaGPU/Metal.jl,swh:1:snp:2871566b484e9b76cfed412cee4fafae7d5c67e7
46352,https://github.com/TOSSHtoolbox/TOSSH,swh:1:snp:c68cd38f843b4ae1620c7dd68a9c89eebd9080ee
46158,https://github.com/Treecodes/BaryTree,swh:1:snp:ef1abb614e0ffae1d05211f404b943e74f33adb5
46245,https://github.com/nicola-giuliani/BlackNUFFT,swh:1:snp:7cc3ef3cf08ceb7d72f66717dddd92b56f9ef46b
45670,https://github.com/tehruhn/bofin,swh:1:snp:84ecbe49ad3edc09973c7284d14d76521a24a06f
45269,https://github.com/almutlue/CellMixS,swh:1:snp:ce98c75c6d2e0827a6d50d27b892c8dc6c6e159d
46789,https://github.com/muschellij2/dcmsort,swh:1:snp:62b8b825197933f61602ba0e36eac9abc0d0ac1d
45864,https://github.com/vondrejc/FFTHomPy,swh:1:snp:07dbce540da6828f86fce2e4bc669eda4ae2a492
45677,https://github.com/dtm-project/dwr-diffusion,swh:1:snp:b58509c9a0499c592555a51867065eed3373219d
45548,https://github.com/cnr-isti-vclab/HexaLab,swh:1:snp:ed622283e381214c7f3a51919f08f52a358a34bb
46042,https://github.com/lssfau/ExaStencils,swh:1:snp:d2b0fb903b419236c7f0f9efec35ae1d8a90e568
45680,https://github.com/ElsevierSoftwareX/SOFTX_2020_128,swh:1:snp:f0922ecf837aefb92ef2e1adaac1d9b6219e2da8
45890,https://github.com/pmlmodelling/nctoolkit,swh:1:snp:208bbbd7f5c3b1f67d64b79b822b0caa1e9881c6
45223,https://github.com/imagej/pyimagej,swh:1:snp:a6ab2c4bc31bbb1970b1dcde3f9374e89274ef9e
45477,https://github.com/jeremylt/LFAToolkit.jl,swh:1:snp:8d6eda9b94b5038b43a9e5bc52757bc66dc25595
45535,https://github.com/FATSLiM/fatslim,swh:1:snp:273e6318da60a359447fe5b688278e98573ac629
45368,https://github.com/AutoPas/AutoPas,swh:1:snp:1799ed0526f9755799b9aaec43423e4e4e1b6e8d
45406,https://github.com/blockchain-group/pDIRECT-GLce,swh:1:snp:4511d34bb76eba5e39cbe9d9371143f30e54d05b
45793,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00153,swh:1:snp:74fae5e77122e08a467c7f7b3de257acd9108089
46424,https://github.com/xuzhiqin1990/mscalednn,swh:1:snp:3842dfde7c7fe0b1e63492da2dbe96e88f3f069f
45903,https://github.com/SunnySuite/Sunny.jl,swh:1:snp:c3c14d20497a05fa19a916f4a218d3aa4e391456
46470,https://github.com/wmcnally/evopose2d,swh:1:snp:2e00f5126120088b525dc74042d5ad28f0fb5d04
45409,https://github.com/tehruhn/bofin,swh:1:snp:84ecbe49ad3edc09973c7284d14d76521a24a06f
45961,https://github.com/loganbvh/superscreen,swh:1:snp:8526fe8a4b8c4400d47fa3ebeaff02be2031b6c4
45334,https://github.com/ajki/LoGAN,swh:1:snp:3f6bac8810fa26d4d578e631e0ca68bede715b7e
46038,https://github.com/mickcrosse/mTRF-Toolbox,swh:1:snp:ef7266d32c126f87c76d5441733cee4da3b3ddae
46336,https://github.com/incaseoftrouble/jbdd,swh:1:snp:03ddf3f429255d7f9f9387bf1fee538602f29445
45307,https://github.com/harmscho/NuTauSim,swh:1:snp:da18fd875749af8b0826cf1b159d9a8709da322f
46765,https://github.com/af-ayala/heffte,swh:1:snp:7800f56c86f2f5f02dee7d1b4eeace1ecd399582
46873,https://github.com/JuliaGPU/oneAPI.jl,swh:1:snp:2235567c48e48f8edd1f64cdbadf39f88d7b7a2d
45674,https://github.com/iliailmer/ParameterEstimation.jl,swh:1:snp:73a7903855452dd360ba63838556e90781f090b2
46515,https://github.com/DLWoodruff/aircond,swh:1:snp:becde2582d228a92a7169fcc89916f2dac56fece
45265,https://github.com/paulk444/AdaQuantum,swh:1:snp:fa6790ab908804e23c145ee021eb2ec72335390c
45841,https://github.com/cran/socialranking,swh:1:snp:de9ad5e5d0cd0493c735d5ec81c860ec1131c305
46235,https://github.com/NetCal/DNC,swh:1:snp:7035beaad02211ccc866c23820828ab6317c16f3
45737,https://github.com/adrianzap/softwipe,swh:1:snp:caf74d7fe69832330824a7d514aaff20c361dfe6
45282,https://github.com/jongcye/CollaGAN_CVPR,swh:1:snp:aa6c319ad16a248a5dd296e2b1f38cbad0b20195
46242,https://github.com/JuliaCI/BenchmarkTools.jl,swh:1:snp:afd1a350195cadfa535678e472ab1448eff71212
45676,https://github.com/MahdiNabil/CFD-PC,swh:1:snp:b4131897d152cd02b6abf5bd3bb670a0ccf54538
45916,https://github.com/libmbd/libmbd,swh:1:snp:1cbfac6cd5223b5731549e06a4397dd3017023b9
46012,https://github.com/nmanthey/riss-solver,swh:1:snp:6d604ed09b75f07f0bd1d6d7ed1ad07d34fbb670
46455,https://github.com/OlivierHnt/RadiiPolynomial.jl,swh:1:snp:855d2ea040d7c521e3299200b969118ace462ae1
45579,https://github.com/stixrude/HeFESToRepository,swh:1:snp:6505fd841870f5a6cea3dae0d69eea136ae51f96
46255,https://github.com/tum-pbs/PhiFlow,swh:1:snp:b55d3641d189501eae3e971aa8cb9cb777c3c686
46780,https://github.com/muschellij2/alvin,swh:1:snp:897368d30c1cea8604a54952ee6f495c5ecbdc17
45504,https://github.com/CAPTAIN-WHU/iSAID_Devkit,swh:1:snp:2ef15eb18193096ef6fc199e58fbb5995f477f1d
45531,https://github.com/AndrewLJackson/siar,swh:1:snp:4ec9207fae9c5fe3f1282e054b9f1fa401ecb92f
45760,https://github.com/groupeLIAMG/JHVIT,swh:1:snp:9b640b61fbf849e99dd8a07fd661ade58fb48494
46836,https://github.com/D3M-Research-Group/odtlearn,swh:1:snp:b95f838656ac26416ccbf2c9eeac41c6b66c243f
46127,https://github.com/dh7401/T-Cal,swh:1:snp:3d7165b657e4a453a1897a4539965943efa81f40
45511,https://github.com/decargroup/pykoop,swh:1:snp:28c5fae3f62ed39a4d6884c07e8b8f5348882b36
46820,https://github.com/baddoo/LANDO,swh:1:snp:cdd0dde2146311cdd261f1ab26bee71a2084ab1f
46119,https://github.com/BlackHolePerturbationToolkit/KerrGeodesics,swh:1:snp:aa1b1fa8723f28b5c1694e058fd74216a9ecfa0a
45520,https://github.com/orchidees/Eric,swh:1:snp:ff671e2e104cfe4385de2cc7ddd3ceda58bd7742
46509,https://github.com/Exawind/amr-wind,swh:1:snp:2d5ddd0668595e48e8fe44ebe7489a3d0e342902
45549,https://github.com/qutech/filter_functions,swh:1:snp:751947b3c93bd2fa3dd848688131d27d565eaf45
45401,https://github.com/jedisct1/libsodium,swh:1:snp:8c5505125915d61b064d6f2375d2ba374d7ff8ea
45555,https://gite.lirmm.fr/crypto/bicycl,swh:1:snp:b18b6f274bb49987d7e21632268f6736184a0b95
46730,https://github.com/JuliaRemoteSensing/MieScattering.jl,swh:1:snp:5b3219516188ab0a81c07f715957a6c23cd51de5
46749,https://github.com/cran/cxhull,swh:1:snp:4e441419e87fe5277552629cde0cfc487c80458b
45740,https://github.com/imkebotha/adaptive-exact-approximate-smc,swh:1:snp:91bd4b3d0c5ab77f1bf77bd8caadd3c7940f9c5b
45564,https://github.com/nglviewer/ngl,swh:1:snp:b05497010d3b01636fe871345459f1ecfac8db90
46591,https://github.com/DPPH/chimera-iDash2018,swh:1:snp:32bd20ba714b1b9f4c9e398d9aa4dd8f2400255c
46893,https://github.com/siskac/discordant,swh:1:snp:b834b3ea1d5281d737e0dec6b8a6e4c9ac43f02b
46788,https://github.com/muschellij2/dcm2niir,swh:1:snp:52de3de1022af5863098a0969595c5367807e02e
45979,https://github.com/guidovranken/cryptofuzz,swh:1:snp:7f38345a85f2efe0ed6857d963294e7043716d8a
46350,https://github.com/mgcooper/baseflow,swh:1:snp:c864b4728f39a7dac6dded3cc4d4cb8ca2554587
46690,https://github.com/lrnv/Copulas.jl,swh:1:snp:e0b8b9f834c49d6d1245d1af3605a544d2ce115a
46007,https://github.com/MikolasJanota/qesto,swh:1:snp:3449c18d3ab28f6da8c8d419778ec6022aeb1f80
45667,https://github.com/psrenergy/MQLib.jl,swh:1:snp:35c486e4f3c114ef35cae9cfe2625238b543cca5
45972,https://github.com/ahumenberger/Absynth.jl,swh:1:snp:16aa62fd545e8fa2f1fb4ea18bbf817ae8e822ba
46529,https://github.com/cran/graphicalExtremes,swh:1:snp:e6d74533a3f80a3fd7028819696f694a0a1c4dd3
46386,https://github.com/JeanWU/CalliGAN,swh:1:snp:b7e42c4d5a3b01912ba32751bfecae4582b48be6
45519,https://github.com/orchidees/Eric,swh:1:snp:ff671e2e104cfe4385de2cc7ddd3ceda58bd7742
45897,https://github.com/gitter-badger/Granular.jl,swh:1:snp:b76386e9e8ce47971b21fa62a5447b5a5798c72d
45595,https://github.com/goncalves-lab/waddR,swh:1:snp:532e738b378336c538b39dad11d85400a05c5255
45483,https://github.com/mbruno46/pyobs,swh:1:snp:84f71fe630d8672cc953cf2e9fd6273bb91caac9
46039,https://github.com/christianbrodbeck/Eelbrain,swh:1:snp:8f44d5139f6d1e03d0883f549d6ceab75b2d4d57
46757,https://github.com/cran/freesurfer,swh:1:snp:badd8695b74b6fd21dd511709bb54ba6812ff337
45697,https://github.com/secondmind-labs/trieste,swh:1:snp:e9e7b83166acbea5aed9da11b81c8bbc63678cc2
46793,https://github.com/Jfortin1/EveTemplate,swh:1:snp:a5278b72df16a3df91205578cda771cbd6cf3ac7
45518,https://github.com/chromamorph/omnisia-recursia-rrt-mml-2019,swh:1:snp:2301b1b5608e7427a6f4549c01ab0f87dcdbc42c
45986,https://github.com/HexHive/FuzzGen,swh:1:snp:7b731585d45547b2424a32b538771a18d8def57c
45625,https://github.com/psrenergy/QiskitOpt.jl,swh:1:snp:ae84196cc307f4618aaa4ee0fa34cb7db396382e
45879,https://github.com/GraphNAS/GraphNAS,swh:1:snp:0cbf6a87a96db96389e2538c3bdc1e46d14bceef
46330,https://github.com/BCHoagland/DARLA,swh:1:snp:4837846dcb6efcd5340d5ad49d15d08f549c2613
46525,https://github.com/cran/spatPomp,swh:1:snp:923e1ed7cef2161df6247db465c97c02b3c76bae
46005,https://github.com/AI-secure/SemanticAdv,swh:1:snp:969dde0ba802f78b31cca3acf64a661275287724
46592,https://github.com/kourzanov/anaphora,swh:1:snp:53f4b4bade93bbd1dcf39940639f9152a1eb507e
46698,https://github.com/rjrosati/Inflation.jl,swh:1:snp:2449e274d50b2f60ca77332f6f4c44cb005c8fc7
45764,https://github.com/kearnz/autoimpute,swh:1:snp:536283177cfbdc542f1cf2fb078bee62413c5d51
45867,https://github.com/SciML/DataDrivenDiffEq.jl,swh:1:snp:8907358e28b52109fda7ab4554aa17d62b7527b7
46781,https://github.com/cran/autohrf,swh:1:snp:8bfdb6ee4832ed95e596d22f16fd2dec41272098
46566,https://github.com/wt2015-github/FastGGM,swh:1:snp:b08cc141a89beee74feeb0d3e47473d6398d6b41
45235,https://github.com/CRBS/cdeep3m,swh:1:snp:23f064048a6e063bd8571642d043c24af8752098
46666,https://github.com/rubel75/BerryPI,swh:1:snp:8bd05c485c4bb868b67b21bf36976a4924b7fd1f
46865,https://github.com/SaskiaSchirmer/CONSURE,swh:1:snp:4aa1de3fd51230bdbc4f4b212be9f7235b73e50d
46383,https://github.com/ecnuycxie/DG-Font,swh:1:snp:0e5abf2ce12c419ea6f8fd62cc74b6b4f9d68bfc
46901,https://github.com/aeron15/DiffBind,swh:1:snp:d7602502d687bc2036975191455e5ac974ff0e72
45673,https://github.com/JuliaGPU/KernelAbstractions.jl,swh:1:snp:2b8eebd838d3715018987612ad5c18be927e7d0a
46695,https://github.com/JeffreySarnoff/SaferIntegers.jl,swh:1:snp:caec8269f9d58374e54d011bb0b930dbe1679f84
45542,https://github.com/nialov/fractopo,swh:1:snp:e22404511f755bf88899b04688d16b18e248c5a9
45355,https://github.com/matteobernardini/STREAmS,swh:1:snp:b8438e0aaa5307eac8d6f9244d660e87b2f42cbf
45503,https://github.com/soroushmehr/sampleRNN_ICLR2017,swh:1:snp:a19ef964f4346d23fcf1ffeffbecf2f239603b50
45404,https://github.com/garyhouston/regex,swh:1:snp:0000da240e12131819f64d84ae6f861b82fa021f
46700,https://github.com/JuliaHolomorphic/RiemannHilbert.jl,swh:1:snp:f86339012ed107f3d8b9edd5a9cecb4310b4be75
45832,https://github.com/compgeo-mox/pygeon,swh:1:snp:5458733b186e292a7d577672cfc58340f9de25cf
45834,https://github.com/ameli/detkit,swh:1:snp:70173befaf78ddb4c673aca52cac8dc8cd0cf664
46632,https://github.com/knappa/steadycellphenotype,swh:1:snp:5a29e0eea72fdf76c6ba3ec8f91cf649c50698a6
45367,https://github.com/avalor/eJason,swh:1:snp:0f3757250661a846bfe46ca05e7339f3f145f825
46547,https://github.com/edalarconb/EmpiricalEvidence,swh:1:snp:97a69e4b569226ae446da387774a0d4945cf67ed
45679,https://github.com/ElsevierSoftwareX/SOFTX-D-15-00007,swh:1:snp:797276dcbb2967499fb12f08f23f7b6fd5dd12be
46621,https://github.com/RendersJens/ImWIP,swh:1:snp:95c68a3521f1d74d8e439362953dfa6391e1b649
46790,https://github.com/cran/divest,swh:1:snp:152fce0b305e4d4ce76e0f2fc229729e07cf6748
46514,https://github.com/kibaekkim/DSPopt.jl,swh:1:snp:62b1ca36db6ef1abb1d3100211a39ccf53c60995
46903,https://github.com/cran/EMDomics,swh:1:snp:8dc145c261d0e26b74b44daaff7272b2ea00114f
46103,https://github.com/WISDEM/WISDEM,swh:1:snp:7b3f2536df6a2edce63288c9f084755c76019d22
46014,https://github.com/reactive-systems/bosy,swh:1:snp:8f9b8015eed85b106f212978fa7ddfb933eb81d3
46269,https://github.com/michenriksen/drawio-threatmodeling,swh:1:snp:250dfa08ccc5d076932fc52c2c96a967da516b70
46779,https://github.com/muschellij2/aal,swh:1:snp:ef07c239043891c60fba741f3a1846af91d282b1
45731,https://github.com/JuliaDiff/FiniteDifferences.jl,swh:1:snp:232de23cb2361aa8b4ca9d4dd9e8a1e3cd06fd43
46421,https://github.com/akosba/xjsnark,swh:1:snp:ad308ded3f4874956a9fa8c33389d9060ab9a7d3
46674,https://github.com/google-research/multilingual-t5,swh:1:snp:1765b2e7795128800e284bc2593084aeed6181cf
46324,https://github.com/cran/FuzzyToolkitUoN,swh:1:snp:ed897a6cb8595fab94586008901a35ec8ba2c050
46010,https://github.com/yeoedward/Robust-Fill,swh:1:snp:4e24d42b31bc7828464d0466bbfad21df6ca8a61
45576,https://github.com/geodynamics/burnman,swh:1:snp:42fbd939e9cc083b86347a955456f951f0766d5e
45566,https://github.com/BrunoLevy/geogram,swh:1:snp:ba194420d4e6e829666d2806dec90e0263202baa
46060,https://github.com/tencent-quantum-lab/tensorcircuit,swh:1:snp:45d819d9145b50c5e54f1181c0d52f9a402b01d0
46607,https://github.com/IBM/differential-privacy-library,swh:1:snp:697099fe679abed91146e31d6f8fd369ce43fcca
45375,https://github.com/gipplab/LaCASt,swh:1:snp:48ee1ef06cbb1e9a297f8f4c4965ff98f2167992
46476,https://github.com/Shaddadi/veritex,swh:1:snp:a669ed3f3686f3e48e77eea8f69def35f8779e09
46511,https://github.com/RuleBasedIntegration/Rubi,swh:1:snp:2e7f09988d186f11464a4d8cc69aa48ac0d26980
46701,https://github.com/probing-lab/amber,swh:1:snp:ca45e1ff8a68a69450f23bcbac84d560163c559c
46741,https://github.com/adrientaudiere/MiscMetabar,swh:1:snp:2876711b00eb58a3c10f20864a97e56657a4858d
46469,https://github.com/chinhsuanwu/coatnet-pytorch,swh:1:snp:cb807014d684eb5238f0842ae6f19ab0fb067fdb
46419,https://github.com/microsoft/Spartan,swh:1:snp:d0b7ee91d783ddc85b126a8c54f12650579e61bc
45530,https://github.com/healyke/SIDER,swh:1:snp:0e31871e6b0d520742c29d07d2178ae2188aae19
46884,https://github.com/MCLF/henselization,swh:1:snp:d43f7540464963a4aa2a9ec983de59265330cd23
45765,https://github.com/MineralsCloud/qha,swh:1:snp:3d62f7a584b9749e693017f102c0aa03a973db88
46855,https://github.com/matt-sutton/ccpdmp,swh:1:snp:ae8c9ac2fe3783c492865b24868096a22fc0a2aa
46899,https://github.com/NetLand-NTU/HopLand,swh:1:snp:ccf06c9b09859e89ba837bfc3383c563e3ef3929
46082,https://github.com/DenisRustand/INLAjoint,swh:1:snp:68a5008d7f0eda3c07a05a03805c7155f88ef0b6
46707,https://github.com/JuliaSparse/Metis.jl,swh:1:snp:7c9656b94e87210dc4932e49581eb95f0cc55753
45980,https://github.com/seclab-yonsei/intriguer,swh:1:snp:4bd6ffa4edd314ddad2de8c5e9d9ccf5d05c3607
46657,https://github.com/medvedevgroup/TwoPaCo,swh:1:snp:05a2abc117a5be2384792dc911cfbf02495f76e5
45617,https://github.com/microsoft/LoRA,swh:1:snp:458ec15bf8ddbd0387090bcc02bb4f78a89e5c13
46771,https://github.com/anthopolos/Bsvygmm,swh:1:snp:8475cb63b1f15bb56abb3724d559617f17eb851c
45776,https://github.com/shankarpandala/lazypredict,swh:1:snp:683bd6c5041fdcb597dcb49403a88c634f12add1
46373,https://github.com/NourHawila/EC,swh:1:snp:b8da8b877c1974d4eb5dada27effe23af304d2d3
46888,https://github.com/NooshinSh/Matched_Forest,swh:1:snp:91d0369ed41170574537e8c04dedff15ca6742d8
45534,https://github.com/LLNL/MemSurfer,swh:1:snp:e5ef30a8e0004b87a7a9186ffeaf6229d7d75dda
45250,https://github.com/fdalvi/NeuroX,swh:1:snp:014c2027c2ca15389b848bb5e68cd175ad2dfa9e
46916,https://github.com/NakhlehLab/MoTERNN,swh:1:snp:c70cc37f9a5b7342f802e988ca75772b0b0fa7d6
40304,https://github.com/snu-sf/crellvm,swh:1:snp:8be0bd38126f1a931d48a39f1d03647ae6f64fe2
40305,https://github.com/nimit-singhania/loopy,swh:1:snp:a816dffc06ab78d10ede8d27d83a7319080925d3
40306,https://github.com/fvedrine/fldlib,swh:1:snp:0d7485439aee794a68e49717f23d0e6ef1dd6da1
40313,https://github.com/lsils/benchmarks,swh:1:snp:504271b15f31259ec8a206e0fb5b5b9b926b4018
40316,https://github.com/cran/SynthETIC,swh:1:snp:0c565556a868a4cf57b47544333a61d9c35c92c5
40317,https://github.com/AshTai/BayICE,swh:1:snp:fc6adddc3d63f521599cbb59bf958cc68c0fe1d6
40329,https://github.com/jijiadong/JDINAC,swh:1:snp:d018658247df4251e82e002ee8768b0cfae4e057
40330,https://github.com/wangzengmiao/VCNet,swh:1:snp:cb56d70d645b964ae04520765afdfe9481403da9
40337,https://github.com/metudust/RegionTPMS,swh:1:snp:d619170d2c7227e196abab4d09e65ca46ab5fe01
40338,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00109,swh:1:snp:1d537b8ed6a1503dba55965b4b0932ba976f84d7
40339,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00054,swh:1:snp:6ac9c014bfd6caead3989cc82aeea0fbd7cb4a3e
40341,https://github.com/precice/python-bindings,swh:1:snp:ce94047971256e7cd6f6fb1a5b1c17b3e4d3c62a
40343,https://github.com/reaktoro/reaktoro,swh:1:snp:e216a9e195c6d5cc4fb976464a26202dd6bc527f
40344,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00065,swh:1:snp:5d1bc76bba47ce715bd877016b44dfeee094cc1e
40345,https://github.com/Roche/pyreadstat,swh:1:snp:31b091234e9e8eb8be19200f1a1c95f455bf7bb1
40346,https://github.com/simoneparisotto/MATLAB-Python-inpainting-codes,swh:1:snp:86f9349334a4e6b8f12c4e4e17110bd2819cfcb0
40351,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00107,swh:1:snp:2d107954c3a0f95af7121612ac49efa400eb781b
40352,https://github.com/KrzyGajow/ImbTreeEntropy,swh:1:snp:848456297ae7ae6d7ea538b3a0783ea3b3116f9a
40353,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00034,swh:1:snp:4a082f26fcab7a25064f8fac17bdb690a5998b55
40355,https://github.com/cran/data.tree,swh:1:snp:4a3032c6c8f1f6cc7ef6c9aa40d511eafcf68594
40359,https://github.com/oracle/tribuo,swh:1:snp:d2c5784a4613743f560bb7218122ef4e7447733e
40361,https://github.com/bwaldvogel/liblinear-java,swh:1:snp:0c68b6802cfff06ad59a539861593abc3621854f
40362,https://github.com/da-da-chen/MOMPA,swh:1:snp:f778115ba83d25466d85b60940943b61abaedf64
40365,https://github.com/cbehan/pycftboot,swh:1:snp:799cc37a314f95fb1b692caf99c4de2d20202f47
40366,https://github.com/mfpaulos/JuliBoots,swh:1:snp:ebad44e59f902ac7974741533a0db049c9707056
40367,https://github.com/dynamicslab/SINDy-PI,swh:1:snp:d063d7b541096aa3b1ba5db60b556a3f95046ec4
40370,https://github.com/SeldonIO/seldon-core,swh:1:snp:6c2271a80b3b9611fb4802f9b782bef549773082
40371,https://github.com/zhang416/dafmpb,swh:1:snp:4cd60ffec4968332ed2b0abd3723ae0d4d6e711e
40372,https://github.com/CMU-CBML/DTHB3D_Reg,swh:1:snp:2920ab78161f4711fa46e5c0b97c42f8f8232a54
40375,https://github.com/tktmyd/OpenSWPC,swh:1:snp:0fe7668e869198cac9d0a838cbf50fc2c780f22b
40377,https://github.com/blrzsvrzs/nucleolus,swh:1:snp:87b04ac84222fe2736b7e8ff0c2db83f0cf40551
40383,https://github.com/pytorch/botorch,swh:1:snp:040047db393f518122eeec603b74e192cec7bc42
40384,https://github.com/zcakhaa/DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books,swh:1:snp:48cb94bdfec4156a349fa65b647a95160f0478c6
40387,https://github.com/cran/hermiter,swh:1:snp:b285521ae97853765a71fddfe8d33135dcfdd4bb
40388,https://github.com/cran/Ternary,swh:1:snp:fd42e55c36027dbb0e77f74dd81ea12d33570c95
40389,https://github.com/eliardocosta/ssdet,swh:1:snp:223b38b36b4ac00d739f9b43d7d29a9d3bc1dd2d
40391,https://github.com/cran/mlrCPO,swh:1:snp:8634e055b594b9e1e72767d66836775570b14917
40392,https://github.com/Neuraxio/Neuraxle,swh:1:snp:f8dfb8d6f6c8ce295dcb5f7c37b98545c11976e3
40393,https://github.com/cran/recipes,swh:1:snp:750c32a03fd87b68bc9f9869c8d23ac531261e07
40394,https://github.com/alegonz/baikal,swh:1:snp:a86da7047bac665966446fceab9aad1fe416425a
40397,https://github.com/GridOPTICS/GridPACK,swh:1:snp:1a88d92857d237d68b41c751eff9370c8b5e7f8b
40400,https://github.com/jaredmejia/dadra,swh:1:snp:e0305dd3e1738a7cccb45dbe58c8bc4321a72779
40402,https://github.com/jupyterlab/jupyterlab,swh:1:snp:23228b857458bb950cc23b10770ed8b819549d8d
40404,https://github.com/petgraph/petgraph,swh:1:snp:548e08efed650ab8d1ac40aa4716c38944bab972
40405,https://github.com/lhotse-speech/lhotse,swh:1:snp:e6c5dbab68fb6c2357c8e6593bbe86569dc22a29
40406,https://github.com/OSOceanAcoustics/echopype,swh:1:snp:bee8eb16894d86636d5af12cf9ec995e96a28719
40407,https://github.com/mlmed/torchxrayvision,swh:1:snp:d8aac016b5ceba790e4589f2ee4350dff1cd6f23
40408,https://github.com/PyO3/pyo3,swh:1:snp:1d566d5c936884bae9c0001cd971ea816be41d17
40412,https://github.com/ElsevierSoftwareX/SOFTX_2020_262,swh:1:snp:4ae83df67b0006f10ca619da62975a8b28df1354
40415,https://github.com/CI-CMG/pyEcholab,swh:1:snp:78b7ffea9b0391f2b97bb49d56801892d85067c4
40420,https://github.com/pytorch/audio,swh:1:snp:13f9e609d0df5242ae61f4c9d94ff2cfeafebcdf
40427,https://github.com/magenta/ddsp,swh:1:snp:946da2e0865a307b855963ab2662a15e4a676297
40429,https://github.com/mozilla/DeepSpeech,swh:1:snp:f56f13a711fa693874a9ed10b4d7770cee83ba08
40430,https://github.com/tencent-ailab/pika,swh:1:snp:b0812672dc69340b9aa68204a20ba273cfdf282f
40431,https://github.com/athena-team/athena,swh:1:snp:4e32a670b844839d4c5329c7269b12414a1d5595
40433,https://github.com/cran/spant,swh:1:snp:b781c099878361d21ff06b811826100c87401d80
40434,https://github.com/cran/RNifti,swh:1:snp:6db68137eed97b9e99c8884313e6a57a1d75c36c
40437,https://github.com/CIC-methods/FID-A,swh:1:snp:63960e158c9a69464f4c4411e5f4389f21a87dda
40439,https://github.com/martin3141/tarquin,swh:1:snp:2806fa030bdd09479ec1a82046103edb25406852
40442,https://github.com/richardedden/Gannet3.1,swh:1:snp:fb16d54033fc6093beaabe69ec704fb3a93d72f4
40443,https://github.com/wexeee/fsl_mrs,swh:1:snp:f4c1596cab8cad6e2693cd5b3739e55e6435eac6
40445,https://github.com/leileely/FDwave3D,swh:1:snp:b0d709cca130b171a32acb2d9a57c092a8d61c32
40447,https://github.com/yucqSUSTech/Crazyseismic,swh:1:snp:7d7ac2dfabd29a346186f187f0ab3e36dc8b02d4
40451,https://github.com/EmoryMLIP/PNKH-B,swh:1:snp:0d0deda69f73e1835af9020335082f91dc711efd
40455,https://github.com/MarionTormento/GML_STICK,swh:1:snp:6e096c3200092909ce0b12f92a6594885a7ea3bf
40457,https://github.com/stfc/PSyclone,swh:1:snp:c56b39b1fd0afb8ee663620a528d3d19b7f542d7
40459,https://github.com/vardigroup/FourierSAT,swh:1:snp:04a7f194f252428f7144d16f4e0215fb7a827768
40461,https://github.com/palash1992/DynamicGEM,swh:1:snp:3c7bc76886a45ffb4ec1f4129c691ef34706d324
40462,https://github.com/palash1992/DynamicGEM,swh:1:snp:3c7bc76886a45ffb4ec1f4129c691ef34706d324
40465,https://github.com/shaunharker/pyCHomP,swh:1:snp:3731a78f63c6d2845d4b39b20e17358760741111
40471,https://github.com/JohannesBuchner/regulargrid,swh:1:snp:b6c6021bdc6e23427ccc6ea4137bee0b9d3fc1b7
40472,https://github.com/mpuerrer/TPI,swh:1:snp:f9864d2b19ecdb6e3f334b1b4a93b8f66d22128e
40476,https://github.com/ropensci/codemetar,swh:1:snp:94e681af2f131de13b3e0e572fc9d0a9be9ad3c6
40482,https://github.com/lantunes/cellpylib,swh:1:snp:5135a6986e68424d9ec8b09fb42421b3dcf046d1
40491,https://github.com/phrsampaio/deft-funnel,swh:1:snp:c77863963c0661de215eb0529ae6ae6c320d6f5d
40492,https://github.com/konkam/DualOptimalFiltering.jl,swh:1:snp:f4bd82f8a9418ea7b6c10627dd233817a43224b3
40494,https://github.com/jth3galv/dfppm,swh:1:snp:8f106add288358d602e4c33b413140bc183bb7ed
40498,https://github.com/hesselberthlab/modmap,swh:1:snp:85563dbb6c53ee5cade16915366447e46d4d2862
40500,https://github.com/ECP-copa/Cabana,swh:1:snp:9f6fbefa6c2516c7b5d226ae7fe6d18409e09a87
40505,https://github.com/rkapl/endicheck,swh:1:snp:4f30369f544ae7ab432f4793af6de0b11ac4d2ab
40514,https://github.com/e5k/TephraProb,swh:1:snp:f77a83747df688263565be4e10f735845b46c2b7
40515,https://github.com/npapnet/OpenVOGEL,swh:1:snp:0bbd78483d651b83d485bdd1ce0eea97e805c926
40516,https://github.com/skojaku/scola,swh:1:snp:c3b31e2c5f5345ec4ca58e50ff4854db90452f3a
40517,https://github.com/naokimas/config_corr,swh:1:snp:5641934e74c6cdb4a29f13d401b8a878bd7575d7
40518,https://github.com/cran/qrnn,swh:1:snp:b55556c4a1a3a6b29d3b8c0a985e94fd296ec95a
40522,https://github.com/OliverSherouse/wbdata,swh:1:snp:d7468195106a798bc1376dbb33470ef173cf2646
40525,https://github.com/cuthbertLab/music21,swh:1:snp:2df0cb4661e59c16293691f9b0c98f218e181903
40526,https://github.com/cran/bigsimr,swh:1:snp:e8a3d3f80caf1e72740bdc448d56d1a5f1607236
40531,https://github.com/google-research/augmix,swh:1:snp:fd9636fc64b96497d81185c1b56169b716a52783
40533,https://github.com/takuseno/d3rlpy,swh:1:snp:c6906e47c73b087caa54c05b00ee7b74778e7f28
40534,https://github.com/rail-berkeley/d4rl,swh:1:snp:041a457f7c402165c8c152385e9b39b5b61a0027
40536,https://github.com/fabiopardo/tonic,swh:1:snp:1a8935772a0f1989263497d8b7d3e81b7b7b202d
40537,https://github.com/Luis-Sanguiao/destim,swh:1:snp:30818494a817b5fa480e9231c3b69173c0cdce08
40538,https://github.com/bogdanoancea/deduplication,swh:1:snp:2cfaa7c9d1176eeb07c51c7e3fd000c285eca78d
40539,https://github.com/MobilePhoneESSnetBigData/aggregation,swh:1:snp:9c767cdd1934cf2ba189f0e2755156a54de16f92
40540,https://github.com/bogdanoancea/inference,swh:1:snp:c8c47cf53348f82080e26df9352ec45b17b98f16
40541,https://github.com/matloff/Rth,swh:1:snp:d043fdd81bea080a3906d784e9bbab77a552e072
40542,https://github.com/cran/rpud,swh:1:snp:7c290385b0e232fd53899864122aec14bc900174
40543,https://github.com/95616ARG/SyReNN,swh:1:snp:00ebec8af532cd31777213dc54c10ea437fcd59c
40545,https://github.com/eth-sri/eran,swh:1:snp:6c131079686f87b83d771b20a53a500e480a57d6
33209,https://github.com/waveform-computing/umansysprop,swh:1:snp:7eb11d3dfc9a7619dab227bc427cc3c2937ca591
33211,https://github.com/Amber-MD/pytraj,swh:1:snp:6e5d4a55f95b8cb416ec937fc5e7869a7c06f496
33212,https://github.com/Amber-MD/cpptraj,swh:1:snp:f077241fa9f2e595c57bd89a6dde6a8abf0cf097
33213,https://github.com/ionelmc/cookiecutter-pylibrary,swh:1:snp:d83db478ef790e5d52b256cf3965c59d36195c1d
33214,https://github.com/babinyurii/recan,swh:1:snp:38390eacc83d69a1ff77f5db6a054482ee57b1c7
33216,https://github.com/cicirello/JavaPermutationTools,swh:1:snp:bd627ecfc3d90e0a9a954225408be545c5390464
33217,https://github.com/caley/OpenEPSim,swh:1:snp:3f1496183de18da32e331534ecb3b9b715b1b143
33218,https://github.com/danielmsilvestre/OPTool,swh:1:snp:46da40a208025ae28220af16acb91f795bbdc24f
33219,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00039,swh:1:snp:060b3e5705154ce8c987d4f256c59a2d6f157b5d
33220,https://github.com/WaliDev/WALi-OpenNWA,swh:1:snp:86118ad8e812085621afd95ece3d3ff62796e385
33223,https://github.com/coq-community/alea,swh:1:snp:058437e530140a8a6ea39e7d1bb542724fc00f59
33225,https://github.com/christoff-buerger/racr,swh:1:snp:8488473814c3a5eb985940cfe5a22c50d3f64c41
33229,https://github.com/bgithub1/flanagan,swh:1:snp:09954f8e45cb0f7545cbcdf9ae58eae9fc2f3a2c
33231,https://github.com/tom111/GraphBinomials,swh:1:snp:11f40389683abd1a34397ddf713b22d9fcc228a9
33247,https://github.com/cran/mlVAR,swh:1:snp:4615a17a21ce592fe05d37265503420be2cea254
33248,https://github.com/GlooperLabs/GraphTime,swh:1:snp:d1e9255c8813dbab4a2a1cd6566e4131c132b35e
33249,https://github.com/piomonti/pySINGLE,swh:1:snp:df04a18600bceb7408a9ba838fbf11c6b7999a8e
33251,https://github.com/MalteKurz/VineCopulaMatlab,swh:1:snp:02917309ac56c03297bce720c014f19d22f117c4
33252,https://github.com/cbm755/octsympy,swh:1:snp:aa54c437daea3e41a52b1ca7e9bb8a7104a0785e
33259,https://github.com/cran/sensitivityPStrat,swh:1:snp:55556a4dbee26b379ea5cb15fd9a2c754cfa9dbd
33264,https://github.com/mcs07/CIRpy,swh:1:snp:03343a85ee48a1d3ef492d402d4c99df54835919
33265,https://github.com/mcs07/PubChemPy,swh:1:snp:092635a6a41a60ea63f59ae87387820e85e56bb8
33266,https://github.com/mcs07/ChemSpiPy,swh:1:snp:f4c718e3d08cf7e4635fac7978aabd8ec2866e11
33271,https://github.com/subh83/YAGSBPL,swh:1:snp:89069694026e5df28cb9011fcc70b13b2d797f50
33275,https://github.com/cglib/cglib,swh:1:snp:2e650e7df649a60eaf32cdffd296130f2620986c
33281,https://github.com/jaredjennings/libgibraltar,swh:1:snp:d7b888c701b3d25bc23467fd4ec5f93938b1fa58
33282,https://github.com/cosmicrays/DRAGON,swh:1:snp:09b8467753dbe003069a7e79409f351ca2dbc737
33293,https://github.com/pierreganty/mist,swh:1:snp:d21e2dbbc16c95eaaff8c000675a5810c056cd7b
33297,https://github.com/cran/bsml,swh:1:snp:ddf02d2466fc9d9f75edbdaac840e9278194a5c8
33299,https://github.com/sakov/nn-c,swh:1:snp:75cebc7f9cbb34f7dc16ff29bf7a28bdefdd90e1
33481,https://github.com/WaliDev/WALi-OpenNWA,swh:1:snp:86118ad8e812085621afd95ece3d3ff62796e385
33555,https://github.com/stedolan/jq,swh:1:snp:19404483f1a2c9fa63aadd6267b5657beb04080b
33562,https://github.com/encryptogroup/ABY,swh:1:snp:c734c5a2381bb4f0c874a74490fb094ad1d8a576
33564,https://github.com/evanj/tpccbench,swh:1:snp:90322d4efbadcd4f5e6519ddbec5b75c76cc7526
33565,https://github.com/shadyalaa/POWER8TM,swh:1:snp:72bfb1e8de27f018b777dbf95f4fdbdd21deac4f
33566,https://github.com/cdries/mvskPortfolios,swh:1:snp:441d01728f70286ecd40f3a45170c1ade4611a53
33568,https://github.com/ElementAI/baal,swh:1:snp:2cbe39caba1b90a8ba5db145cef879c7108d1cd4
33571,https://github.com/osofr/tmlenet,swh:1:snp:2e9cce7bb14a5100f6a79fa35b51048ff7114870
33572,https://github.com/tlverse/sl3,swh:1:snp:2da7cd4dc2f2fc10a65bc1e811a1dfeb0a95faf1
33573,https://github.com/BlackHC/BatchBALD,swh:1:snp:00a8f0fff23ee4ff9d0554892db5182adb180b31
33574,https://github.com/ayhandis/creditR,swh:1:snp:677ae18aa78280e845f96d1e8b9c2a70c3338c24
33575,https://github.com/adimajo/scoringTools,swh:1:snp:173292a5df3dda0e0b91da4aa40b016e2d1d5958
33576,https://github.com/cran/glmtree,swh:1:snp:746ac4ccc0c0a6c84322cf0e6a5394fcc9b7e9ab
33577,https://github.com/cran/glmdisc,swh:1:snp:cf74322f6aa4e9d0316630b0c3b0f26681182d10
33581,https://github.com/jbkunst/riskr,swh:1:snp:d90720a313378dbb0ab4982ba8e428ee6390f251
33586,https://github.com/cran/InformationValue,swh:1:snp:4ee1d350ad837dfa2c9fedafb76b150377cfcf1a
33587,https://github.com/cran/boottol,swh:1:snp:a0146fb665fc17e0703070772e114c1bacffe7cf
33588,https://github.com/cran/woeR,swh:1:snp:7e299444c55ea8c804ed531eff32cc9669c260a4
33589,https://github.com/cran/Rprofet,swh:1:snp:f1620f6a8202a1803f2be309b2d612cbf1a5f38a
33592,https://github.com/mirefek/geo_logic,swh:1:snp:dccf6bf01396934e5b1dc5d2529fabe9e3082e6b
33596,https://github.com/nokia/NCBounds,swh:1:snp:40555eee51050f3b034159e6bba8f34c92dc8cc0
33599,https://github.com/sehlen/sfqm,swh:1:snp:d156d6120a0631b52dc066a491cc025d3528a664
33609,https://github.com/chai3d/chai3d,swh:1:snp:adf9905588f21ae800212b2f8b5bcfd964195c14
33637,https://github.com/marko-vasic/crnPlusPlus,swh:1:snp:7cef175e57a8cd5b7edc8e4c0ba7843a2dead9d5
33638,https://github.com/DNA-and-Natural-Algorithms-Group/peppercornenumerator,swh:1:snp:553adf33a087092e7b1c0b22bd8478e4d3ab997f
33640,https://github.com/aosokin/qpboMex,swh:1:snp:7480d93f4fb01b53b392374fb41dd20ff0f28a21
33643,https://github.com/koengit/intuit,swh:1:snp:1e4ce4b07442e43f3a4bc8de4ef40eb16cfcbaea
33645,https://github.com/microsoft/MS-Lumos,swh:1:snp:450f933d7087a2053a3a1e78e11dd2d733dd77bc
33647,https://github.com/andosa/treeinterpreter,swh:1:snp:4d3b0737dfedd1696614528524241609252b5ab3
33648,https://github.com/keras-team/autokeras,swh:1:snp:4783a40a5a3b5a269cf5ab6e52ad3cbafd6ea578
33652,https://github.com/latex3/latex2e,swh:1:snp:b218f2a5b1942d73a01520cd4a54ad38ed7af317
33656,https://github.com/KeTanakaN/mat_points_interp_rkhs,swh:1:snp:51f5866df3c36ff7d5d4860dd6e9ae88766f4110
33659,https://github.com/scikit-hep/iminuit,swh:1:snp:065f06fb0e40baf1566596ef592ed362c426e483
33660,https://github.com/JuliaSmoothOptimizers/NLPModelsIpopt.jl,swh:1:snp:db051e162315cb87559a3ff8f9c129e85382303b
33662,https://github.com/JuliaMath/DoubleDouble.jl,swh:1:snp:1986d5fa533cdd3ecf602a5da9b7a2f5058ec17a
33663,https://github.com/JuliaMath/DoubleFloats.jl,swh:1:snp:01ae7146cdc8483de67f4120cd0c21f1df3a2f8f
33745,https://github.com/aschmidtuulm/ameshref,swh:1:snp:6bc2d215f9b9160db45829175c254b44b101f78b
33750,https://github.com/ghpaetzold/LEXenstein,swh:1:snp:fb0f22f770893105038fe1e78b8bab61a63a82a7
33753,https://github.com/maroba/findiff,swh:1:snp:01e558768472ae18d8780f1a1f225a3487c077e5
33759,https://github.com/cmgcds/SParSH-AMG,swh:1:snp:3508368d614883b4f30b85d133a7f740126de3a1
33760,https://github.com/samwerner/PoolSim,swh:1:snp:da65d7ca477d38cacb0ae880fb9a4df3d297aa33
33764,https://github.com/helpsystems/pcapy,swh:1:snp:5e8046cf6b09bfdba7b0843be2f88d6638dfba29
33770,https://github.com/ComtekAdvancedStructures/cmstatr,swh:1:snp:63b896e1ec8dbd8d5b0ea017db7a1f60dc8f3f72
33771,https://github.com/vsoch/gridtest,swh:1:snp:ea10e7386aceccc5104139671624e7d5968476e3
33773,https://github.com/ihrke/pypillometry,swh:1:snp:d59e6900cc171be381da3383de888c5fa034a93b
33774,https://github.com/cran/PupillometryR,swh:1:snp:8c7a61c52715e76787d900f2aebc3b9b92204e51
33775,https://github.com/dmirman/gazer,swh:1:snp:4de775b5037ce9543746e1cabea58af69919a65b
33776,https://github.com/klho/FLAM,swh:1:snp:aad5ea26c4fdc2d3eea797cee10e017486f82df9
33777,https://github.com/hrwakeford/ExoTiC-ISM,swh:1:snp:6bd1c884bffb19dbf3d1b6cd0d530c806acc16e6
33779,https://github.com/drwaseemsheikh/audiometry,swh:1:snp:27d212390051d65f75285abf9201b4fcd9a91bd9
33781,https://github.com/sap218/jabberwocky,swh:1:snp:469d4a8fff926f530db995864e809a6b5f308a17
33784,https://github.com/libAtoms/QUIP,swh:1:snp:d4434cd7bd75c4714af89fc4af9087e39be5fac1
33786,https://github.com/cosmo-epfl/librascal,swh:1:snp:3b0a4735b59bb74a6181e12e7794fb87a7a8a1e1
33791,https://github.com/rajeshrinet/pystokes,swh:1:snp:fe81fefcc843bd3144ea0676b4d330d64f1d0f85
33793,https://github.com/kichiki/libstokes,swh:1:snp:ca9b18527da80b618d9d1f1da1b2e15d65714edc
33794,https://github.com/martibosch/detectree,swh:1:snp:5c504470e1f287f9af86404faa700e9fc0e79aa7
33795,https://github.com/pmneila/PyMaxflow,swh:1:snp:54cda3d6b2dd0c2fc53b5dc7bdb945172090ec49
33796,https://github.com/lis-epfl/swarmlab,swh:1:snp:1d315a6e0c0d6892de5e898fc53fc4310075b999
33801,https://github.com/arm61/uravu,swh:1:snp:39b3869be004c5ebcfca9f2b9521fbf3b7075b76
33803,https://github.com/deezer/spleeter,swh:1:snp:9b4b3b5e2dbbff5e8e315307d98d354a72673182
33804,https://github.com/sigsep/open-unmix-pytorch,swh:1:snp:b7ce336a0c68c52b3ef3862827983d210a238f36
33805,https://github.com/sigsep/norbert,swh:1:snp:16999f9898727fcb9edd997dbc981bd0ce1ffda0
33806,https://github.com/IoSR-Surrey/untwist,swh:1:snp:0f5f7602d3ce1bcaa587991cdff2c0afbb858c6a
33807,https://github.com/openBliSSART/openBliSSART,swh:1:snp:8ea180f0996327923fa50867f60e78db807f24cc
33810,https://github.com/morganjwilliams/pyrolite,swh:1:snp:039f3646bede8135936ffead6de773e86d82c0df
33813,https://github.com/gap-packages/RepnDecomp,swh:1:snp:c6de65482842ea6a98319d1bad561bdfe77cb9c3
33814,https://github.com/deniederhut/niacin,swh:1:snp:6c430a065c12a3714dd2672ac31f4a461c6eed89
33815,https://github.com/QData/TextAttack,swh:1:snp:e7db2d84215998b144186f96eaf6d69008bf53d7
33816,https://github.com/KVSlab/turtleFSI,swh:1:snp:64239ec1472f2f73976c51a1fb9b55a3fa020f74
33817,https://github.com/BartoszBartmanski/StoSpa2,swh:1:snp:147d54be730cc4f1c928e5d37fd4a94f13bab745
33665,https://bitbucket.org/rivanvx/beamer/src,swh:1:snp:1a8893e6a86f444e8be8e7bda6cb34fb1735a00e
38933,https://github.com/bjoernkjoshanssen/tetranacci,swh:1:snp:195616a0a350e7cf7fd7d32d3d5aeddd44961b39
38934,https://github.com/andremun/InstanceSpace,swh:1:snp:90e67363ece70ffc5a455ce508a63b86ca6cffef
38935,https://github.com/cristianallara/SDDiP,swh:1:snp:691d81ad5d8b34398ab0d064e81e1523d67c5d91
38936,https://github.com/bioDS/treeOclock,swh:1:snp:74e1a6f7df5527bf62f7faf85b2775a0e7cb8b4c
38937,https://github.com/shaunharker/DSGRN,swh:1:snp:496d71af474d9762da0f8193ed079935317c54a5
38938,https://github.com/ludvigak/linequad,swh:1:snp:94bd8a805399e1b951cfc3563c74ec73f6c38ba3
38939,https://github.com/mb4-nls2d/mb4-nls2d,swh:1:snp:5e094b5b40a89f269d00f1d87c621a7d40acbb84
38940,https://github.com/ivogt161/RealBitangents,swh:1:snp:9407f1b6ac28e1cd98da122d17fda3c6d857fde6
38947,https://github.com/maxpumperla/hyperas,swh:1:snp:8989354eec8b9a6343ae1c12ffa46cc01cb7601b
38948,https://github.com/CryptoExperts/bitslice-masking-multiplication,swh:1:snp:1f06053897154ddf533802df5948e3ebfe9c601e
38949,https://github.com/AlessioNetti/fault_injector,swh:1:snp:8deff4199b1a9bfd9d9a3ccabe25cd996c2d4818
38950,https://github.com/toddlipcon/gremlins,swh:1:snp:2ff02469777ce41458b340573ed25c14a16d8eb0
38955,https://github.com/wagnertimo/emarketcrawlR,swh:1:snp:0273553a5b643132a849c57b149b8adccfd95992
38956,https://github.com/crsh/citr,swh:1:snp:7fc2aa960c9507010a380e28c5cd1f879799b760
38958,https://github.com/hrittich/lfa-lab,swh:1:snp:631b1c061a5ba30e4eb404ad9fa1930a5bfa3333
38959,https://github.com/ElchananSolomon/EulerCurves,swh:1:snp:94a54270b16b5be41e6898a76b9631422990f8ac
38960,https://github.com/lorinanthony/SECT,swh:1:snp:34194a794635b4aa55a93b5b29b154fff342a0d8
38961,https://github.com/RabadanLab/MITKats,swh:1:snp:913f31bffb4602ec689db19876510fd36898c941
38962,https://github.com/cran/gradDescentR,swh:1:snp:1a8893e6a86f444e8be8e7bda6cb34fb1735a00e
38966,https://github.com/Senka2112/StatePredictions,swh:1:snp:3526982bced66ebb72db7e0c91c2b6f926be0200
38967,https://github.com/iuliansimion/Chevalley,swh:1:snp:5503d22e17a169265c316be383ba288c43fad522
38968,https://github.com/waYne1337/tbwt,swh:1:snp:ab9a2a20524eb60792ad26ab1b1657bec923e07f
38974,https://github.com/jkudlerflam/AutomataSG,swh:1:snp:b33e9af73c372aa195a7bdbf1493416b13885343
38975,https://github.com/spotify/annoy,swh:1:snp:bd6b8fe8fed8f91aed74b33e5eca8f931116e0ac
38976,https://github.com/classner/pymp,swh:1:snp:3fc7d4f1f7b5fbcd8c3575036e66c5d65b0432a6
38977,https://github.com/rmcgibbo/pyhmc,swh:1:snp:a968665db7f2d1f1ed6b31dfb242c9a26e575ce0
38978,https://github.com/mctorch/mctorch,swh:1:snp:7ee968ece5fa5142bc52f31037fdde883f63a95a
38979,https://github.com/ChenhanYu/hmlp,swh:1:snp:5e6d13015c89a712710c00eb56340f36d57da5c1
38981,https://github.com/SSPmethods/SSPTSmethods,swh:1:snp:d41b365016f1629de258d9aaa308f65fe2cad355
38982,https://github.com/sphinxteam/dnner,swh:1:snp:246eea38e1c28f6cc33488b3e9c335651f1c4e7b
38983,https://github.com/benjaminaubin/TheCommitteeMachine,swh:1:snp:f660be22236919bd8d1ab17736c14604dace7a90
38984,https://github.com/tdegeus/GooseFEM,swh:1:snp:e55e992673a0cfa8f503614daea621dcc129a7d5
38986,https://github.com/vsbuffalo/scythe,swh:1:snp:8f010ad131cb3ab5a5a38c1a88bbee78b27c2518
38987,https://github.com/liyf1988/HS_GHS,swh:1:snp:114dd7166a5dd7aaf5797f7bf17a03e1a40bc04a
38992,https://github.com/EsotericSoftware/kryonet,swh:1:snp:19923cb9efcd4908f93d5f3785e5bd4cccdb15e0
38995,https://github.com/MORLab/sssMOR,swh:1:snp:81b9a064a98691313e14f9159c89783b379c99f9
39000,https://github.com/MIT-SPARK/TEASER-plusplus,swh:1:snp:08669380b6a39bdd38d2f72bbd13bf881e88907d
39001,https://github.com/vavrines/Kinetic.jl,swh:1:snp:bf2e91616dd587ff51228ba356ab354039c6ca70
39002,https://github.com/dansarie/sboxgates,swh:1:snp:a969ee038b997aa8c5c874cc4484f552c74fdaab
39003,https://github.com/tripcode/SBOXDiscovery,swh:1:snp:e2a835660c300b567fac14df03cbc7085bf36370
39004,https://github.com/holukas/dyco,swh:1:snp:dfb8d10129094217412f19b3d7712db83cd564d2
39005,https://github.com/mjacob1002/Eir,swh:1:snp:fd6ee0fa7c2e0af93a34dca66bcd5b07a5c31f05
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39007,https://github.com/cran/shinybusy,swh:1:snp:be00d1725fda020e475993dc6594e12bae6fb82e
39013,https://github.com/cran/RFpredInterval,swh:1:snp:1bf5860e6157b00cdf46457e2babee69139171ee
39022,https://github.com/Jabbath/Cop-Number,swh:1:snp:a38df801bc3c8388e2aa8c01cd3a3e3a5436a4ff
39023,https://github.com/Bleiglanz/On_The_FrobeniusNumber,swh:1:snp:97b056902dba9a689effba75a570242ad6ff65b5
39024,https://github.com/Alexestat/bayesShrink,swh:1:snp:37bbd8d3a19d940a68ed8b7e1ee86d01dae2b327
39028,https://github.com/fakenmc/generateData,swh:1:snp:3c54210ff7aa160fbbe30c7f617f06adf9601589
39030,https://github.com/bootcmatch/BootCMatchG,swh:1:snp:5a49ce2995e3e4d445a995a4102782f7492383d1
39031,https://github.com/SoftwareImpacts/SIMPAC-2020-39,swh:1:snp:b3257431b22290db54be5f9e5c5ec6e3060ea792
39032,https://github.com/SoftwareImpacts/SIMPAC-2020-27,swh:1:snp:b9e45e0a8d4520ce8a5762d060f553ad62110b5b
39033,https://github.com/xi2pi/RefCurv,swh:1:snp:7414f2658a7e26752352e82d9d3d8d6f586e6f0d
39037,https://github.com/SoftwareImpacts/SIMPAC-2020-28,swh:1:snp:4b29a8b981224b103338e9f0ec52230820ca507c
39038,https://github.com/GeorgeKyriakides/nord,swh:1:snp:83fc9b784a60dacaae387d14753df7319d63932d
39039,https://github.com/SoftwareImpacts/SIMPAC-2021-21,swh:1:snp:e4cb20fe0e0f43257d1ece7f37b123e365c06c42
39044,https://github.com/csyben/PYRO-NN,swh:1:snp:452d6fe03c9de1d9e2c951c6745cfb1147b92a43
39045,https://github.com/maticivan/PDE-method-for-implied-volatility,swh:1:snp:e79245fdc90931f0e12afeb5f9f54621bff5bdfe
39048,https://github.com/SoftwareImpacts/SIMPAC-2021-8,swh:1:snp:ea939555f897fed5117dd504b89477157cf9228e
39049,https://github.com/miliadis/DeepVideoCS,swh:1:snp:14b8c63327d26bf4f0675de55968e78bb9092cc5
39050,https://github.com/SoftwareImpacts/SIMPAC-2021-19,swh:1:snp:a72b20c5bf560677923d60fe22bea96cbb39feba
39055,https://github.com/log2timeline/plaso,swh:1:snp:f5aabf5e7bab7e4af9dc9fbfb05e33d0449e5467
39059,https://github.com/sazzadcsedu/SSentiA,swh:1:snp:d2524ab27494b352e99c430c6a4a3bbb2856db5a
39061,https://github.com/cjhutto/vaderSentiment,swh:1:snp:8191274be601263298dfc9b15ad2c8521c5cf377
39062,https://github.com/donmesh/ALDONAr,swh:1:snp:70342fdd27ae38b86484c415f9695d8314b84ceb
39065,https://github.com/shwars/mPyPl,swh:1:snp:2ea3a183a0acbce90550f8be2a96b66d3da6d185
39066,https://github.com/JulienPalard/Pipe,swh:1:snp:20648c53ac6ca2708deee754b7f9dcc302397b41
39067,https://github.com/bowenc0221/panoptic-deeplab,swh:1:snp:fc38e1fe9b73d48cf1dd78c426180239695a8f57
39070,https://github.com/speedinghzl/CCNet,swh:1:snp:7550c83f7fd9b6878bbc2c485c00274575605d96
39071,https://github.com/DeepSceneSeg/EfficientPS,swh:1:snp:728be7de03b9aeed4a7bd5eac122dd4cf23f4736
39073,https://github.com/joe-siyuan-qiao/ViP-DeepLab,swh:1:snp:b65a00e12d7effc3671d13dc1c75f0ecff6bda21
39074,https://github.com/TheCodez/pytorch-box2pix,swh:1:snp:62676136222d13974b62e5353f6b71894c9b70de
39075,https://github.com/uber-research/UPSNet,swh:1:snp:83d213a8518f961be758b76fa95c146d44b05976
39077,https://github.com/csrhddlam/axial-deeplab,swh:1:snp:18e0239ea46fa1e406bbc701425ad30ac7bcff99
39078,https://github.com/conradry/max-deeplab,swh:1:snp:ea68078ad4525a9b13e0a8e03d53a87157fec644
39079,https://github.com/autonomousvision/giraffe,swh:1:snp:c9910f2ecbb5402126ba6eea19234ba52206c92c
39180,https://github.com/CU-Denver-UQ/drums-supplemental-material,swh:1:snp:e73a8a8948c7b2d10aaaee0a30d91b8d457a2a0d
39181,https://github.com/gammacombo/gammacombo,swh:1:snp:cd549230810500064625ead045340efb3f1a9da6
39184,https://github.com/jdalseno/Mint2,swh:1:snp:ea3bc37178df45744425aea75c97b53b34970e42
39186,https://github.com/nschloe/pygmsh,swh:1:snp:10b0ff5b745428fa6cdeaa0f373117518038b0f2
39187,https://github.com/Legersky/ParallelAddition,swh:1:snp:54d3541a6b147765dc5e06059588b0f6adb46c5d
39188,https://github.com/iitis/CumulantsUpdates.jl,swh:1:snp:479c30261a6e89f7bd4d318da7e2116a13cb6e8f
39191,https://github.com/feltor-dev/feltor,swh:1:snp:98df35a2d905e7033b90a13e4ad1b5fa3df4cb7d
39192,https://github.com/uomsystemsbiology/bond_graph_cardiac_AP,swh:1:snp:70a7301f52b999f0cf330879c18a98d976962639
39195,https://github.com/robertlaird1/laird-jtb2018,swh:1:snp:d1af11392335a0b4b221e7e2d2121524f7f1d997
39198,https://github.com/scikit-tda/kepler-mapper,swh:1:snp:f6ae6de7e360f615f7d45e6ece01a77791f6c0a5
39199,https://github.com/taro-sakurai/zs-pgrp,swh:1:snp:a6a6ec6bc467f23f6939ebd17df7f4137fa3fdd5
39200,https://github.com/iitis/SymmetricTensors.jl,swh:1:snp:a8fb48068e2168fad0ca4ff399b040e7569abd90
39201,https://github.com/iitis/Cumulants.jl,swh:1:snp:e132cd8c0536ac02477853f8b9e5e70e6cf6135c
39202,https://github.com/OuroPablo/Hydro3D,swh:1:snp:a75395249a99d8548f5d7c4883ac0aa97869b234
39205,https://github.com/forrestwparker/tools-for-cyclically-presented-groups,swh:1:snp:f1e20aca1e92f601531d91bc7bb710b5ce54d965
39207,https://github.com/ndeutschmann/qgraf-xml-drawer,swh:1:snp:037e84300003e95e44e40c388d089c9680fab7db
39208,https://github.com/ehingant/StoBeDo,swh:1:snp:37edf95ca215b8b29195238d83f5a6042b70e916
39209,https://github.com/BoostedColliderAnalysis/BoCA,swh:1:snp:a03226446757c6351cef84c187e3b4f0974dfe9f
39210,https://github.com/thierry3000/tumorcode,swh:1:snp:5695ccb22bbb1eed2b48dcee0ec037c167308ac5
39216,https://github.com/dylan-jayatilaka/tonto,swh:1:snp:859e1e8b12870c13099bf7090431cb916f9e1b3a
39220,https://github.com/opencryptoki/opencryptoki,swh:1:snp:19563e512390c6d1af82f583905c22be0f7c15cb
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39456,https://github.com/iitis/Cumulants.jl,swh:1:snp:e132cd8c0536ac02477853f8b9e5e70e6cf6135c
37203,https://github.com/stef/pyrsp,swh:1:snp:905f6664f4f99e9a90914a275ba7735f364e7542
37206,https://github.com/phaag/nfdump,swh:1:snp:d45a384fdd4202656638be750015a2ad9f092b92
37209,https://github.com/JuliaStats/StatsBase.jl,swh:1:snp:60d6bbd2ccc3e87d60ac0cbb6f3772cea035408a
37210,https://github.com/JuliaStats/ConjugatePriors.jl,swh:1:snp:f74453d0c781dcb16dfd5bfb7375e7f1de20fc24
37211,https://github.com/JuliaStats/NMF.jl,swh:1:snp:8964761e36505cf6d875dbe13a0e80b869a6b260
37212,https://github.com/JuliaStats/MultivariateStats.jl,swh:1:snp:9ff56c59af0ffba58365c299a262cdd74a0f870f
37213,https://github.com/JuliaStats/TimeSeries.jl,swh:1:snp:bb15e2400a269bb16a653ff81a0362b45fb037da
37214,https://github.com/JuliaStats/StatsModels.jl,swh:1:snp:6a9a71c09dd2510183b372153470409160ccfac0
37216,https://github.com/cran/openVA,swh:1:snp:162742bb374e1ff0f12f827dce6a199030cdf5d0
37217,https://github.com/liyf1988/GHS,swh:1:snp:a489eba719f00d03e0be4dd980ff4d13703a11e4
37218,https://github.com/geo-fluid-dynamics/sapphire,swh:1:snp:256e19d708c61f651f803dfcdfc2d465ae617c22
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37583,https://github.com/pangeo-data/climpred,swh:1:snp:6fe5bd534ccff95d40954b5ea666d92f37918f6c
37584,https://github.com/xarray-contrib/xskillscore,swh:1:snp:5222d5f9eadd4992920a145a016fb9c3d777dc6d
37585,https://github.com/illing2005/murcss,swh:1:snp:6ae0658de589a0b931063e8dcbbd19e76a32c779
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37588,https://github.com/rchereji/plot2DO,swh:1:snp:b65aed4c534091dbafb242b363634f9375280492
37589,https://github.com/ghislainv/forestatrisk,swh:1:snp:b22d4b13208f0fd5f535daa530550ffefcbbccf0
37590,https://github.com/wvanzeist/riroriro,swh:1:snp:be06375e642e90e9c063fd7ac11363bda6cbf314
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37596,https://github.com/openopt/copt,swh:1:snp:f9fae01b6764bd568151ad6470fb8ca616bc64a3
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37612,https://github.com/id03/binoculars,swh:1:snp:ad58cc8f668492a1e5384329730656daa2bcad23
37614,https://github.com/ElettraSciComp/Pore3D,swh:1:snp:cb910dc2255bb68ad7d2f2a8caec34587e2fffeb
37627,https://github.com/luisjavierhernandez/PBURF.jl,swh:1:snp:3e11dde08420b8cd0b53ed3913546d6fdf948515
37630,https://github.com/NiklasPfister/CausalKinetiX-R,swh:1:snp:f9fb1bab709061be2b292f6eb11ffcb9cd1f2680
37632,https://github.com/nicolas-aragon/Durandal,swh:1:snp:af4a1f8b0b5e7b46e9ce5f5bf14166f852e0d212
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37637,https://github.com/cran/chillR,swh:1:snp:c25d652609d7ec765947df3abe0fcaf0cba65c10
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37654,https://github.com/FridoF/PyTom,swh:1:snp:e80ca6acd5c3f8951a7f9ff86f94e62d1b7baeab
37780,https://github.com/Image-Py/imagepy,swh:1:snp:f231545b14b0b8286e35e36c8b19afb83807f932
37782,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00072,swh:1:snp:97ab53def8084c3ec05f72abb05f0bb8ba766a6c
37783,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00033,swh:1:snp:6a430dec6f9e00b27c5887697de78b0d1e53238c
37784,https://github.com/ElsevierSoftwareX/SOFTX_2020_39,swh:1:snp:7df85c372937d7d96f7867ca68dc51b3e77df7bd
37785,https://github.com/youjin1207/netdep,swh:1:snp:9155e9f3ec80fed83ac49fb8d4b7880e7ec13b9c
37788,https://github.com/seanyx/RivWidthCloudPaper,swh:1:snp:55ced76b3fff388a834c0e71545e32aaafab7d64
37792,https://github.com/austenb28/CycFlowDec,swh:1:snp:bbb5ade2bb01c4b0af9067742e67b526307e770a
37793,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00028,swh:1:snp:4ef239a21eb1d38cafa63168dd2e9e7a30bd94e7
37795,https://github.com/syanga/pycit,swh:1:snp:37f4fa7b7e5db620f7c27e1f610390c798f3d894
37796,https://github.com/ElsevierSoftwareX/SOFTX_2020_104,swh:1:snp:caf13909d9182032f4dbacff621886cd030c66b0
37800,https://github.com/opensciencegrid/cvmfs-singularity-sync,swh:1:snp:9199ca84d203412efea55096d1c4e3b73f8ac60f
37801,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00085,swh:1:snp:1f1832a351c6afc0eebcf5bec8a82a74e2a4f109
37805,https://github.com/sass/sass,swh:1:snp:1c9b9d3014974bdc3f8b4c40f8d662f03d640acc
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37807,https://github.com/babel/babel,swh:1:snp:7f4a5c1c5b9793745b45def64a23338fd79ff94b
37809,https://github.com/peers/peerjs,swh:1:snp:fadb03c9e130f16243b54ff311abeae676c2090d
37810,https://github.com/libuv/libuv,swh:1:snp:920301dadf652089f71ce93a41fbc3f59bf6d531
37811,https://github.com/koka-lang/madoko,swh:1:snp:9ce0630f437b5519ca4c15e7206b65af1654fb64
37813,https://github.com/beefproject/beef,swh:1:snp:386f3b4d423aebfcbb782c07475de07f9dc45b2d
37819,https://github.com/taustin/ZaphodFacets,swh:1:snp:729d99f67d87afd67798512ab9a025bccc5b068d
37830,https://github.com/prototypejs/prototype,swh:1:snp:8deb0347278b0033f9b930e86460110ee02a63ff
37833,https://github.com/dotnet/wpf,swh:1:snp:af3394af0f39ad5ea547cc86d854fb369656cba2
37837,https://github.com/brian-lau/MatlabStan,swh:1:snp:ff764f38214da2a85c8f789e973cfe84b650346d
37838,https://github.com/saschatimme/LinearCovarianceModels.jl,swh:1:snp:610941ae78271fe16e4f1dff55e743c4a8b375cc
37840,https://github.com/david-kamensky/CouDALFISh,swh:1:snp:6974a2cea2a3029f4099aa0888bf83371001045f
37850,https://github.com/BrendelGroup/AEGeAn,swh:1:snp:3732087fc446cb40adac40f2c9d9dd8f8a80cc77
37856,https://github.com/exoplanet-dev/exoplanet,swh:1:snp:4c45b8b48f94e20d20ab02fd6ed0ff15420bffd5
37857,https://github.com/hpparvi/ldtk,swh:1:snp:cc4ddd133ecb7a8c028d05d1b0cea31edc6992b7
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37863,https://github.com/DeepGraphLearning/GraphAF,swh:1:snp:c859b4d1cdff4aa99fdf39f45792a9a2068679e8
37864,https://github.com/ShaharGottlieb/GNNExplainer_DGL,swh:1:snp:76fcbbd185d9918cd14aae2c5528799050fb3d11
37867,https://github.com/ElsevierSoftwareX/SOFTX_2019_19,swh:1:snp:298562b8efac38d34513b807daf762efc9c7bc5a
37869,https://github.com/hivert/Coq-Combi,swh:1:snp:ed3a11f427c0af11272ecdca3d05d6ffe46b2e68
37871,https://github.com/tobegit3hub/advisor,swh:1:snp:b66ec1e7d5adff477fef4af690935c3d326de2ef
37873,https://github.com/giladkatz/ExploreKit,swh:1:snp:539280875b002954a1ffb2144c5a042952ecb000
37876,https://github.com/HoloClean/holoclean,swh:1:snp:b8d07c25f245c28cf73ad8a05a3076372b7e6625
37877,https://github.com/HunterMcGushion/hyperparameter_hunter,swh:1:snp:49fe596690261994c6c777a4d5b04ff1d5f27a5c
37887,https://github.com/ReedOei/Pecan,swh:1:snp:6a0ed06c9ca482ac70e1d581cbfba9cc338abdea
37888,https://github.com/stochastic-geometry/Shortest-path-distance-MPLCP,swh:1:snp:cb7c82ea6d29f906d70957daf827473614a644b4
37889,https://github.com/TGAC/KAT,swh:1:snp:954af4f4530b6e752a3dd9e413e319ca39957c0b
37896,https://github.com/ridgelab/ExtRamp,swh:1:snp:586274ce4851f84443adae52e9b2bc929e66d61d
37901,https://github.com/BioEasy/EasyCodeML,swh:1:snp:52c083cac20b8b28d2f4a3a3b84288b4decb93d7
37913,https://github.com/bitonic/tog,swh:1:snp:45049e59cb367d4f1601be5e3689c1c9b744e5eb
37914,https://github.com/codyjack/Pintos,swh:1:snp:ca9825d0c6f6c4c8d9623fd945a764c67ab682c7
37917,https://github.com/simccs/SimCCS,swh:1:snp:6601055b07274b5af4c35b8bae768d92a13a84be
37919,https://github.com/AMIT-FHBielefeld/PNlib,swh:1:snp:d37788da270892f58f78ffecdf5dcae04a4fab6c
37922,https://github.com/cran/BAEssd,swh:1:snp:2493fb5a451686a98af05913448145210ce10ae7
37929,https://github.com/cran/flexrsurv,swh:1:snp:74bd34c5587a270c231c2f8e6797cb1bca138df9
37937,https://github.com/SpiNNakerManchester/sPyNNaker,swh:1:snp:fe53727e199399b30f34d6471edd4348248a3546
37948,https://github.com/OpenMDAO/dymos,swh:1:snp:694c0ec75f571f2f4435a013f38573c38f014478
37950,https://github.com/mdolab/OpenAeroStruct,swh:1:snp:ad0623668d2dc3ed186b878488624aa1205d0623
37953,https://github.com/0x0f0f0f/Metatheory.jl,swh:1:snp:ee598d82947230d3a80dcab689913b892370b719
37956,https://github.com/thautwarm/MLStyle.jl,swh:1:snp:d2abfda7edeeeb5ac63035571becbb00f6c7fd2e
37957,https://github.com/thautwarm/MatchCore.jl,swh:1:snp:477adf169db8af5f48585eb1e3e2ec077934b628
37959,https://github.com/cran/covid19.analytics,swh:1:snp:4bb95aadd58ddcaa2099a1c8afab81fd275b490c
37961,https://github.com/gstonge/SamplableSet,swh:1:snp:20ce6fffe187c3f00b2f8ed97ec54889f856c380
37962,https://github.com/bjodah/chempy,swh:1:snp:21b9184ebbb56255e34a603dfd055f314f121c87
37963,https://github.com/bjodah/pyneqsys,swh:1:snp:47d4514ebe6844bfa24e18df9b5d71e35206e3e1
37964,https://github.com/JGCRI/ambrosia,swh:1:snp:49b635e659507f5cb5014e7f9bca616fbbb075f7
37965,https://github.com/Balaje/iceFem,swh:1:snp:36a0bf49d0c7ba8190b761024e9d975bcc37d42f
37967,https://github.com/ShubhadeepSadhukhan1993/fastSF,swh:1:snp:65cee220b8a6d5f8f3ef25ae976bddec211096ef
37969,https://github.com/nansencenter/DAPPER,swh:1:snp:62df122be215c3835a8b1f070b91a74278362bb1
37000,https://github.com/ggirelli/oligo-picker,swh:1:snp:36bad81c880231eeb21ea6d8ad5a824b51be8f28
37005,https://github.com/odf/gavrog,swh:1:snp:5ff2860d7b937602b2f49fae769d88f931e26bae
37006,https://github.com/odf/gavrog,swh:1:snp:5ff2860d7b937602b2f49fae769d88f931e26bae
37022,https://github.com/AlexMikes/AutoFunc,swh:1:snp:32e7e468479e7aac3d4242b1c10a6f5b6e387063
37023,https://github.com/deepskies/deeplenstronomy,swh:1:snp:0c0cdc506e6be6bfe70a56427864f879213ff622
37024,https://github.com/sibirrer/lenstronomy,swh:1:snp:588a852c840411e580f9e9cf4f0b4d2768116b99
37026,https://github.com/jiwoncpark/baobab,swh:1:snp:d5730262553e93009954dc8b95249fc5026bb4f4
37028,https://github.com/lzkelley/kalepy,swh:1:snp:91f2cb65cf4cfe9729d75d54ae95d7984d40f635
37029,https://github.com/tommyod/KDEpy,swh:1:snp:9e8a86737c0fc133438c9c4c421e0c5671b0b425
37030,https://github.com/hyemin-han/BayesFactorFMRI,swh:1:snp:dddf6c2da4b7f3d27eb56dde232b14d7eae427fc
37033,https://github.com/nilearn/nilearn,swh:1:snp:0c915149bddb7468c39513fcf6bffb8cb4914258
37034,https://github.com/cran/interp,swh:1:snp:5bb2877b72853f254919330df817982ecd63975a
37035,https://github.com/cran/sensobol,swh:1:snp:73ef2429815e76c71d757dbc8d16b3f43c4deaff
37036,https://github.com/cran/pse,swh:1:snp:c36ad49ef4d23d7d91a7e65237d57194f6c0deb2
37037,https://github.com/cran/fast,swh:1:snp:02dcbad0b43e76eaabb7e7117155360dd3ba9679
37038,https://github.com/cran/bpcs,swh:1:snp:842579fdcb9847ee6ef728ad9d4261d541373fa0
37039,https://github.com/cran/kableExtra,swh:1:snp:11ce35edbd2552ad7e08b265030a4d23eae857c7
37040,https://github.com/StevenGolovkine/FDApy,swh:1:snp:12933702e2da7be9142c46580bf50415c4d09c20
37047,https://github.com/CMA-ES/pycma,swh:1:snp:24ac5d71d43db8ae5f2323f2bff9a82c69ddd67a
37048,https://github.com/scikit-optimize/scikit-optimize,swh:1:snp:8e386fd98f0a3118b427d90fafaa99e08f8cd492
37049,https://github.com/JDAI-CV/FaceX-Zoo,swh:1:snp:6d9ec84c571ae442950b74079aedf26dd8fcd5c4
37051,https://github.com/guoqiangqi/PFLD,swh:1:snp:750c9dd239acdd172ae639a00b2ee91e15fd4c17
37052,https://github.com/deepinsight/insightface,swh:1:snp:f210bebaf080b27b4020d4b76e38ff1a6fbac50e
37053,https://github.com/4uiiurz1/pytorch-adacos,swh:1:snp:660619b81a264769e38e9e8f2dcad6f07863c36e
37055,https://github.com/pymoso/PyMOSO,swh:1:snp:d657875c0911d26a0f5c5f2aa319505fb462095f
37057,https://github.com/Greenwicher/PyPRS,swh:1:snp:d36052e0a6987867f8656452379d750692521bb4
37064,https://github.com/SCUT-OptGroup/MSCRA_rankmin,swh:1:snp:d82850e5cceb7276f5a98011ea891ec40cf51e0d
37066,https://github.com/omuse-geoscience/omuse,swh:1:snp:b52e91c7424e9d31b2756cedb8cd27036dee6cda
37077,https://github.com/SOPSLab/AmoebotSim,swh:1:snp:67cc9b7fd237b40e972eaf64a8446f3d0c1585d9
37078,https://github.com/bd2kccd/causal-compare,swh:1:snp:5337aaa1f776b3d559e895e1f559145256b6602b
37080,https://github.com/sen-uni-kn/tartar,swh:1:snp:6a58c02d7fe42cf471545ad1fcca94b8e1242f0a
37081,https://github.com/SketchFix/SketchFix,swh:1:snp:20c60d667bcbac06d954ffd3fcb9946cec1a0326
37084,https://github.com/ElsevierSoftwareX/SOFTX-D-15-00085,swh:1:snp:6e8ab833f9b1ba94753349be72bad9cbea633763
37086,https://github.com/sknetwork-team/scikit-network,swh:1:snp:2ca54bee03d488c42b2266af61d2412d694a0748
37094,https://github.com/haoliu1994/AdaptiveFace,swh:1:snp:8e2a0dd4f29b016ece947f484305758c5639a1e4
37097,https://github.com/huawei-noah/ghostnet,swh:1:snp:26a65ccdbd931a4b4344ff7302bff35c85048aa6
37105,https://github.com/nlesc-dirac/sagecal,swh:1:snp:a1f553b5aac11535742c3a6009368cb83e35227d
37106,https://github.com/sara-nl/picasclient,swh:1:snp:98b6f37bfe5bd2b15f86acaa5f6ed09aefa6d5c5
37107,https://github.com/mhardcastle/ddf-pipeline,swh:1:snp:5345d095dcf2ce2d21cbc1545774bb61232ce463
37123,https://github.com/mathurinm/celer,swh:1:snp:9ac4db400f77eb26aa72ced0b7efa3956a477f68
37155,https://github.com/cran/robin,swh:1:snp:a701001db5f0143015fe8cf7ede2e5f091511074
37156,https://github.com/polcolomer/RandNetGen,swh:1:snp:567d3fcc38921e6dbd592d66330c13f7300b5463
37159,https://github.com/comp-imaging/ProxImaL,swh:1:snp:109ebba2bab3e2c2d0286448eaaca299f86c5d43
37160,https://github.com/DiamondLightSource/Savu,swh:1:snp:9b5cd37e58f436e9f4ad8e1eba9ee2e22763b063
37161,https://github.com/vais-ral/CCPi-Regularisation-Toolkit,swh:1:snp:e0029d2c45bfb475e3953456c7034546232c00aa
37162,https://github.com/dkazanc/ToMoBAR,swh:1:snp:ba696e4f85225d1c8eb15f88318ea65c522ec243
37163,https://github.com/SyneRBI/SIRF,swh:1:snp:496193e88bb894df3431f3e239cbc93eaf017778
37164,https://github.com/JamesYang007/FastAD,swh:1:snp:9004b01b0fc86e76a0139233be6614d5322cc59f
37166,https://github.com/mobvoi/wenet,swh:1:snp:906ed3528ae2d70194cd5a93a9a8e6b15d95cfb8
37167,https://github.com/alibaba/MNN,swh:1:snp:011f9f1ae351421ebbc2dd1855a884cbcaefec05
37168,https://github.com/pyyush/SpecAugment,swh:1:snp:50239592c2c687d638b6157546c99c440bb9b61c
37175,https://github.com/mbitsnbites/tinythreadpp,swh:1:snp:0af3d802398e44b543e093cd77f1b6682c925c28
37176,https://github.com/tnagler/wdm,swh:1:snp:112d81097670adbac0b4b2f8d08b62066b22c670
37189,https://github.com/alchemyst/ternplot,swh:1:snp:82bdf4d1e09cd086c6edf2249df9d7226f5a418d
37193,https://github.com/sebp/scikit-survival,swh:1:snp:ed8b7ec095a80471b44fb4c8843e5c71e28256bb
37194,https://github.com/jmschrei/apricot,swh:1:snp:4977f8b2528148179a87a674f52e820bec14f0d0
37198,https://github.com/alexandrebarachant/pyRiemann,swh:1:snp:1b016c882073167543dbdc4c579662cc156223c8
37199,https://github.com/geoopt/geoopt,swh:1:snp:d5af3075a134d0b26613c5e00914a2436ed6a95e
37201,https://github.com/ispras/qdt,swh:1:snp:bbf6f746a9fddf75f496c689d647a7757e3d5d83
37202,https://github.com/eliben/pyelftools,swh:1:snp:5a3705dd589fcc4a44da61860ccf1f72d68c18b8
37295,https://github.com/moses-smt/giza-pp,swh:1:snp:a3ae330ba945cc81830c91228715b1b07a6786b3
37297,https://github.com/cvxgrp/sccf,swh:1:snp:cb22cb658d12e07745efe40a22fdf82a7b0586aa
37298,https://github.com/nsundar/sbfem,swh:1:snp:2d69c0dbdf2866bce63ac12d7354d6d032e47b24
37303,https://github.com/cran/chi2x3way,swh:1:snp:ce5ad54fbd65f0699a01b8f779c18bbd55acde45
37310,https://github.com/cran/support.CEs,swh:1:snp:eccd8497570e3cac5892f615048480b772c1eb5b
37314,https://github.com/cran/IDPmisc,swh:1:snp:20acb952136584d42a8840e5270c4455214fec10
37321,https://github.com/cran/r2lUniv,swh:1:snp:402dd261fa6f4900e2d45d1a2d410f7af7a2552c
37331,https://github.com/cran/ramchoice,swh:1:snp:d23d3e0bdbde426a0d44f4681aa3a646b433bfca
37332,https://github.com/cran/rddensity,swh:1:snp:1812613e26d275e6ae82322b065ce81416a9724a
37384,https://github.com/ElsevierSoftwareX/SOFTX-D-18-00001,swh:1:snp:c92353f5d3b36ba628ae256b0090e2f85655e3b0
37386,https://github.com/mitmproxy/mitmproxy,swh:1:snp:0dff0d089b871163801591d9ad2da9fa069e5596
37387,https://github.com/buffer/phoneyc,swh:1:snp:861fd66a393517fd69ed8892988398f3579ffadf
37409,https://github.com/Gregmayo/MetaboX-Library,swh:1:snp:4f2c349c721bed0bcd2e393f47da287a3b658f7f
37410,https://github.com/edelmand21/dcortools,swh:1:snp:628ac8ab8678ad6ad881d6a18b5a0d36e64d2c4d
37423,https://github.com/JanDitzen/xtdcce2,swh:1:snp:8b77ec29489aa89afff26c369e98a6bab3b20036
37425,https://github.com/farbmacher/sivreg,swh:1:snp:bce5a1b3a32ad3f61704063615bf211301e61d84
37448,https://github.com/zty2009/LncRNA-target-gene,swh:1:snp:5a20c0680f875a43d4d66f49d4529bb873221877
37489,https://github.com/sergiocorreia/ppmlhdfe,swh:1:snp:4d9748544fd95d10604cebd2db87914b4f26ad40
37498,https://github.com/worldbank/iefieldkit,swh:1:snp:a04a5e2304263acc8b4eed5cd2bf4261d84c8b81
37520,https://github.com/cran/cgmanalysis,swh:1:snp:fcc927c667c292dd277e749b9a0e6708f1653e09
37532,https://github.com/jurajmajor/ltl3tela,swh:1:snp:892b4a652626ce66e1dd20da8eadf8009036216c
37533,https://github.com/digama0/mm0,swh:1:snp:140fbe85be9508d76bf3532cf59c0f84c1f1d87d
37539,https://github.com/Laplace-cs/OpenComp3d,swh:1:snp:1e5d01834facfc693538b39bfe02cedcf05b40d9
37543,https://github.com/andyphilips/dynsimpie,swh:1:snp:9924c8fc5bd0e6c88b46e9ce9158cc48175be4bc
37549,https://github.com/andyphilips/mkduration,swh:1:snp:27e95ef01b61169a4d61390b650e04f159288e50
37559,https://github.com/recruit-communications/pyqubo,swh:1:snp:3136e2b7b184df1164501b14c271e804ae5d677b
37560,https://github.com/OpenJij/OpenJij,swh:1:snp:a45bdd2b649da4cf7fb7f3424318dae0ed6f91a5
37563,https://github.com/elyra-ai/elyra,swh:1:snp:29ed37f4cd3ad3c9a8f5359c0a72fb83c92183b3
37565,https://github.com/kubeflow/katib,swh:1:snp:c614e79db7a4ccd4655b1a5633b8240eb96afd07
37566,https://github.com/Trusted-AI/adversarial-robustness-toolbox,swh:1:snp:e460a933c9685901389d16b7e338eaf96fc9fc84
37567,https://github.com/kubeflow/kfserving,swh:1:snp:787a76718a6abf375670d15dbbfe22d189845774
37570,https://github.com/lenskit/lenskit,swh:1:snp:30582bf123255f76bbc501ecdf6957135aa31277
37571,https://github.com/kuandeng/LightGCN,swh:1:snp:b3c3798eb0cb6e7f8de30eb19467b84195d484f1
37574,https://github.com/RUCAIBox/RecBole,swh:1:snp:fc81888a03d3f552519cc44d8d0176abb9c43b98
37575,https://github.com/AmazingDD/daisyRec,swh:1:snp:c741da21e2b7e48134c1a434806ef05e75eef3ca
37576,https://github.com/Coder-Yu/RecQ,swh:1:snp:c1cfdff55821939db09ceb8ae359c4a5610da22b
37577,https://github.com/RankSys/RankSys,swh:1:snp:8b01a3e14f012087f3a2dc45bfe79685ace4bc86
37578,https://github.com/benfred/implicit,swh:1:snp:d27c18ebc73f131ea7350dabe8344e81662c6a3c
37579,https://github.com/lydialucchesi/Vizumap,swh:1:snp:15b6e17ce8b70f66b6c213d8d4b060feab6042ca
37581,https://github.com/artaylor85/pixelate,swh:1:snp:bfe9ae82a6827438fa6354a64f1725c5874c27c4
35780,https://github.com/bakwc/JamSpell,swh:1:snp:2272fee21cf6e7b619e536a49a46472177f3d0b3
35782,https://github.com/AbiWord/enchant,swh:1:snp:dab6187a9a04d1a1743fe7fa390a0eeabfbbdf81
35788,https://github.com/ariesco/CafeInMaude,swh:1:snp:27a3adff4e2d19b03f536242cdda06322f166689
35789,https://github.com/ariesco/CafeInMaude,swh:1:snp:27a3adff4e2d19b03f536242cdda06322f166689
35791,https://github.com/geotopmodel/geotop,swh:1:snp:eb1c08a4d1ffca7cc0b0448ede59f3a0015e8e3b
35795,https://github.com/google/sentencepiece,swh:1:snp:e539a9fc9a0d7fdc3506074aa9069086329a319c
35797,https://github.com/xcmyz/FastSpeech,swh:1:snp:722546ff71d717a537cb1782462db457a3d14998
35801,https://github.com/Hua-Zhou/TensorReg,swh:1:snp:caf1bd3bf51f7bb06650b0c9875e65a3fbe34da0
35809,https://github.com/gumrukcue/Distributed-MPC,swh:1:snp:04c52c520470a2d234f39e5fb16cdec4686e3e4b
35813,https://github.com/laurentkneip/polyjam,swh:1:snp:c8889709fd807d81d8f03ad82499ecee4f0315d3
35814,https://github.com/pik-copan/pycascades,swh:1:snp:813257e6f10839834fd228f654a65b5c5d4cdffe
35821,https://github.com/netsiphd/netrd,swh:1:snp:22e409c104bc3aa7a9173b6c365283403663ed34
35822,https://github.com/peterewills/NetComp,swh:1:snp:b37dbe8ca3d83045f31310889e52e7f2c3f6856a
35824,https://github.com/snyk/snyk,swh:1:snp:714b6c665df4ce2986832f6950e7a8a98a8d3c1e
35828,https://github.com/ivadomed/ivadomed,swh:1:snp:8114c7e9238217643076acf32c006bd11c899b33
35829,https://github.com/neuropoly/spinalcordtoolbox,swh:1:snp:483dcae879c52695be60a489ca00a3a2ce5f69d3
35831,https://github.com/EEGSignalProcessing/TMSEEG,swh:1:snp:6266d2a72b40a4a19409ec2d40920767cb8f2813
35835,https://github.com/cran/rinform,swh:1:snp:feb1f54c2708c755e58adf715fbcce97d69b64fd
35836,https://github.com/cran/gmvalid,swh:1:snp:011504e32a9ed7bbc30fc425fce48fa548ed38de
35839,https://github.com/cran/MMIX,swh:1:snp:c01ed8c0c6b8fac8e59c34996ff036605dbe0212
35840,https://github.com/cran/foba,swh:1:snp:67253cacceb9adfa84876152d40bbefbd5b60488
35843,https://github.com/denoland/deno,swh:1:snp:70b57a12e27c20b0d794788757b2db7d1582708b
35844,https://github.com/WillemDeGroef/nodesentry,swh:1:snp:98512d6f15e4fb5c73aa4b85b3c7e8ce62bdc298
35851,https://github.com/google/caja,swh:1:snp:fa760f2d8939b92b58562d9cca98b07f974ed050
35852,https://github.com/eslint/eslint,swh:1:snp:569806e71e59b9bb4e753141e3541a2163428b06
35853,https://github.com/nvasilakis/breakapp,swh:1:snp:4ddc96fb8171c9a1e15e72e8c4936a541d07d9cb
35854,https://github.com/sola-da/Synode,swh:1:snp:fa64ae2c8a65a54c4045609100af22f9241f4e46
35855,https://github.com/sola-da/ConflictJS,swh:1:snp:33455e5e2dbb44c228e58dbf12980175f8016ca1
35857,https://github.com/facebookresearch/mixup-cifar10,swh:1:snp:94a2a9a8750f1bd56fa5d61be6aceac5a2fee9de
35858,https://github.com/IshmeetKaur/QuickNAT_tensorflow,swh:1:snp:a88b8ed868092cd02ec7e467d87d312c793c3a6c
35859,https://github.com/ethanjperez/film,swh:1:snp:3ee1c9cd3402d1155f335aaba2db8df0dbb94c59
35860,https://github.com/mattmacy/vnet.pytorch,swh:1:snp:7e6c630b7c19a54f23fe5a8b70ac410d73dec811
35861,https://github.com/ieee8023/countception,swh:1:snp:23cb122d87ce99389b41398e902a3b4d257620af
35864,https://github.com/gabriele-costa/pests,swh:1:snp:bcd792fca240e43afade9337ad453286fd0a43da
35865,https://github.com/garydoranjr/pyemd,swh:1:snp:f85713e5b2103fd23d92e9332242846155f93787
35869,https://github.com/phananhhuy/TensorBox,swh:1:snp:d1444737dd5f02821f0a403be65e3dfadf372c7e
35871,https://github.com/MatthieuCourbariaux/BinaryConnect,swh:1:snp:f582cd591b094a5289000b862dd1c5acf7a04a2f
35872,https://github.com/MatthieuCourbariaux/BinaryNet,swh:1:snp:dc76495e2a022a24d6daa9889c7314050e5227d8
35874,https://github.com/jitsi/jitsi,swh:1:snp:e8c33d4f0dea8538866a2a8a355467a603559c9c
35877,https://github.com/flatironinstitute/CaImAn,swh:1:snp:d9cef51804ce9a2f9975dea582f3c310051ec558
35881,https://github.com/oracle/graal,swh:1:snp:021d8cfcd8ff6d2077d0a61b56d1af9f25e161b3
35883,https://github.com/Yomguithereal/talisman,swh:1:snp:6b6c4e45c9e21b386b1b9c49afdf7b6d639c5413
35884,https://github.com/Kuifje02/vrpy,swh:1:snp:b60f7e726372764dfd1d4a44a5f8e340a6a3b547
35885,https://github.com/meteoswiss-mdr/pyrad,swh:1:snp:dece8ad5c72c9763b32d962d80e2ea7d5c0d881b
35886,https://github.com/PyCQA/pylint,swh:1:snp:550b65ca493bd0a53493ee822cee9d7a31486588
35887,https://github.com/pySTEPS/pysteps,swh:1:snp:5fb020bfb3b97cc65d869e8693a9d32c76a9763d
35889,https://github.com/wradlib/wradlib,swh:1:snp:7e6fd320fcecac763e25de3cd8c99886f0b9c00b
35891,https://github.com/numpy/numpydoc,swh:1:snp:b154e159ccf484f0174eca702dc4054022e4d68b
35892,https://github.com/nguy/artview,swh:1:snp:c43c1d57b3d536841cccfabcb8962e068f0be08c
35893,https://github.com/CSU-Radarmet/CSU_RadarTools,swh:1:snp:8bfdd04a81d786f55f9dabe50af8037ac1697589
35922,https://github.com/VincentAlcazer/StatAid,swh:1:snp:3b9b1a4cdaebe50fe36a0f9347f7ede5cf4ce86d
35928,https://github.com/GMLC-TDC/HELICS,swh:1:snp:d94f06923e729f91b11476da87e7afddb0967b58
35934,https://github.com/ImperialCollegeLondon/ICLOCS,swh:1:snp:fc79751c30d32ba4bfa41aeea6ebc7c405db3045
35935,https://github.com/avramidis/sodecl,swh:1:snp:c579a3450120bd8fa4dd34d6312fc48a4ce1c45c
35936,https://github.com/GraphBLAS/LAGraph,swh:1:snp:c99c176dc64e504c0590cd4561e26cc848cc270f
36059,https://github.com/nicola-decao/MolGAN,swh:1:snp:13f86601e8814ad7bb2dd960cacaa4e99038094c
36060,https://github.com/JiaxuanYou/graph-generation,swh:1:snp:c766f801b0f8fbe4f01ce976361a7297eedddebe
36061,https://github.com/RichardYang40148/MidiNet,swh:1:snp:6dd65ceaf3018bc4d766ec2ad54a22db5c55fc7e
36065,https://github.com/cran/rbvs,swh:1:snp:810e8e4992269bdb95537fc1b615d70d7ec1115e
36067,https://github.com/WolfgangErb/GBFlearn,swh:1:snp:9e79a65c336ab0a07c6995402c12cb22e045ec8d
36069,https://github.com/commonsense/conceptnet-numberbatch,swh:1:snp:cb833f097a1cad8cb641ecc069e71aad3a739fee
36070,https://github.com/valeriobasile/learningbyreading,swh:1:snp:a5b301c43cc7c883960a4056943cb57dc6fc8979
36072,https://github.com/chadhazlett/KBAL,swh:1:snp:818da7734d629b7fad6e1c9a431900c44246a033
36074,https://github.com/cran/openCR,swh:1:snp:0490aa10326fd4887bbe02a70f6012b306d1d556
36075,https://github.com/cran/RBesT,swh:1:snp:f9d46760106b9e8850b6a2b27b312302cc49c558
36076,https://github.com/ChongWu-Biostat/aispu,swh:1:snp:8a42515270c7fc05e24c57b7610fd7e6fad373df
36085,https://github.com/asmusskar/ALVA,swh:1:snp:e88706b2a7b91bf8daefc61db267bec0377ad4c5
36094,https://github.com/DrMichaelLindner/pyfMRIqc,swh:1:snp:a8faab0bd59f2d1c3cdabefd8ad8e3747836e6f6
36095,https://github.com/raamana/visualqc,swh:1:snp:41eb91aae9c117192f577a970a5ab559cc9f896e
36096,https://github.com/poldracklab/mriqc,swh:1:snp:7478c81424167761431db2723c51b0d04e13e7ad
36099,https://github.com/EIT-team/Mesher,swh:1:snp:fa9f443b211550d13e6b10c37939c134cd66a73b
36110,https://github.com/atomneb/AtomNeb-py,swh:1:snp:a677a1a6e4cc341d6b83fed0ba12c82bd48b4149
36111,https://github.com/equib/proEQUIB,swh:1:snp:18243b60e7414003ddcbfdcccefff4ce2f505b24
36113,https://github.com/equib/equib,swh:1:snp:647b59c8754f6500f26db1edfe1fec1565c32f67
36132,https://github.com/kaboudian/abubujs,swh:1:snp:8361aed60e7ce314860e272237ede127c5c0fe21
36137,https://github.com/pswietojanski/slurp,swh:1:snp:4eeff77f8fb9923fabeaa5210245472cbc04cd98
36138,https://github.com/budzianowski/multiwoz,swh:1:snp:94358e6a5b503a17ca2fc536268615fe8aaaa827
36139,https://github.com/cran/zGPS.AO,swh:1:snp:aff5dae9e79bf188b11b0683b7d75316c97263f5
36146,https://github.com/cran/sma,swh:1:snp:312ea36dce6b2c1b083f472cce23e4c0478162b3
36147,https://github.com/STOR-i/TailRiskScenGen.jl,swh:1:snp:6ba9fa3c13640d6ba929fa213e0e8715def4ca92
36148,https://github.com/jpgcc/hssim,swh:1:snp:64a14895412009e6c63e94be6a85b565ae5b97bf
36177,https://github.com/Axelrod-Python/Axelrod,swh:1:snp:1d236388b397585d8567d6814aa91c21f5a9a406
36178,https://github.com/HypothesisWorks/hypothesis,swh:1:snp:b36d2cb97a26300d60de5519e1613f6cf277b26f
36180,https://github.com/anstoc/EcoImpactMapper,swh:1:snp:854a7b263c7d609b91a0f0e2de68c9da656d9b3c
36181,https://github.com/mludkov/mlOSP,swh:1:snp:0a3c9fe73c60950c5cf3716bd5af5ea1839a470a
36183,https://github.com/YueJiang-nj/ORCSolver-CHI2020,swh:1:snp:40502c03393e0f90fecc2d74d21db8edb22dfb7d
36200,https://github.com/wmpan/ScatterX,swh:1:snp:03461b3ceb5b88e7d4257283bd3b62e9efc6c909
36202,https://github.com/jacger2/softregex,swh:1:snp:a5ccd23f8fa0d82c293c6ae642e2a5fe8302c894
36203,https://github.com/m-popovic/chrF,swh:1:snp:be19a60666899971f6085b0ec549d99de3dcf778
36205,https://github.com/prodo56/bleu,swh:1:snp:39bd7fc9fee8f761b74aaa8ffe64ca2ae895eb4e
36207,https://github.com/google-research/ALBERT,swh:1:snp:37be513ad7301641eeeee8a8667fec4faccccebe
36208,https://github.com/kimiyoung/transformer-xl,swh:1:snp:e9a2d1068ea4b5ec6feba5cce530200343dd8c10
36209,https://github.com/mgermain/MADE,swh:1:snp:793d6340eee3c03d655c1ca6832aa37c1e2dba9d
36210,https://github.com/MarcCote/NADE,swh:1:snp:a367129870b5dc7fb6b85f98608e76d7a47a6f75
36211,https://github.com/dangitstam/topic-rnn,swh:1:snp:d60c9aa643ee505a8e0db01694998607582263d0
36212,https://github.com/byronknoll/cmix,swh:1:snp:2c5f35078f28aeb67c6567782a5f5b799a61d49f
36213,https://github.com/quark0/darts,swh:1:snp:57650f33a1fce721a9ad84347724ee87390c6d52
36214,https://github.com/igul222/PixelVAE,swh:1:snp:e4827e1f1391fd875c88e10df8602e802918415e
36216,https://github.com/cran/pnmtrem,swh:1:snp:45d0abed6147270493d33df3572ba1a89c062300
36223,https://github.com/njtierney/brolgar,swh:1:snp:eb743cb713617453d0dc9bdba5b91a39bf0b41c3
34642,https://github.com/Strilanc/Quirk,swh:1:snp:8d3058da992d4f20929bf97c1a8ebf16cfdd6aa9
34648,https://github.com/meamy/feynman,swh:1:snp:ae7b27dac9715f5301e0b9942acf19cb44c53210
34649,https://github.com/ricedsp/rwt,swh:1:snp:d56e65c4b3dd04e7c49a7a77a9681aa262c5fe82
34650,https://github.com/ranjanZ/2D-Morphological-Network,swh:1:snp:f715d771a2e1e0412fff3c8cc12e9e866360b4dd
34651,https://github.com/JRSijsling/canmod-1inf,swh:1:snp:7af0bde3ced625b529d839738acc63aa0b2dcf47
34652,https://github.com/JDureau/ssm,swh:1:snp:b47538eb1d2ebd584a02b42bf7b399f71cf2508d
34653,https://github.com/basp-group/BUQO,swh:1:snp:4cd9dc7759817b955994ddaeb07de5c33f87b465
34654,https://github.com/jonathan-taylor/selective-inference,swh:1:snp:8d5d0cb1236a81e447215e4f37e0572d9d7624f6
34655,https://github.com/pietg/survival-sacrifice-model,swh:1:snp:acd935f10cf23d168bf3efa977e679888300591e
34656,https://github.com/bbrunaud/PlasmoAlgorithms.jl,swh:1:snp:7d7e0ea0294d2217012c3dfde0085321fe7c2ec5
34660,https://github.com/cran/frm,swh:1:snp:c1032f3a75f20efb6b105bba1c30a3d5976539f0
34667,https://github.com/ICB-DCM/pyPESTO,swh:1:snp:bdf86e39e3ab00e16e41c176fc94a8f902ecded3
34668,https://github.com/lanl/PyBNF,swh:1:snp:5c1be7fe5f7a204226c410c37e93544e415d28a9
34669,https://github.com/RuleWorld/BioNetFit,swh:1:snp:13fe70bbfaf623434b5cc5b32d1e1ade4e35b3d7
34670,https://github.com/sys-bio/roadrunner,swh:1:snp:6b568227ff1a16450d9b5d077ede7b8c3994877c
34671,https://github.com/RuleWorld/rulebender,swh:1:snp:36dc40126f2a4caf656fe2425a4bdf26c7d624fe
34672,https://github.com/LoLab-VU/PyDREAM,swh:1:snp:cbdc71435a7244ef23dc8254273298a3dd51f665
34675,https://github.com/WolfgangScherrer/VARMA-modeling,swh:1:snp:c3e40acdfe7d808db2bc3ea0b991934231132091
34676,https://github.com/Project-Platypus/Platypus,swh:1:snp:e4b85acb22c4df8624a9cd986653c868cbacaceb
34677,https://github.com/lanl-ansi/Alpine.jl,swh:1:snp:db6170b80197ac73d5616e4698bd9a9596efda4e
34679,https://github.com/happynoom/DeepTrade_keras,swh:1:snp:723a3500e01635a02dac0bf6a19cd02ea9d30367
34681,https://github.com/CEED/Laghos,swh:1:snp:29f28440817914442dba96ed89574a6d49ff9a23
34682,https://github.com/wuchengyuan88/Magnus-Representation,swh:1:snp:15b0e2d1b0263e49314eb6e3858930a38c2b8ee2
34683,https://github.com/mbr085/Sparse-Dowker-Nerves,swh:1:snp:534fb4c3960ac3db015384a6c27edb4fccd8f54d
34684,https://github.com/DLR-SC/cpacs2to3,swh:1:snp:6c6dea8ae6f6019857f5c18b46856038bd388d5e
34685,https://github.com/cran/rarhsmm,swh:1:snp:ea1bee52ac6d685561a7135a0943f6ee28a1dd47
34686,https://github.com/mverardo/CATemplates,swh:1:snp:91a0d0050a08c3499fcbcf8179dafbae7cbac8f2
34688,https://github.com/pguthrey/regionally-implicit-dg,swh:1:snp:6750bed6e0f178412f92c6bec04ffcd4da580664
34689,https://github.com/Basvanstein/IARI,swh:1:snp:5e285b6c3253e3935d0afde0584d3a0221fff924
34692,https://github.com/tomviering/NuclearDiscrepancy,swh:1:snp:5763557b021b6f403669291a25d830016b9333e9
34693,https://github.com/sparisi/td-reg,swh:1:snp:decb07a95c2532c69a625af13014d8f31f8fe306
34694,https://github.com/gantheory/TPA-LSTM,swh:1:snp:b6757121bc2519c1615a0c98e99c8806dd337c50
34695,https://github.com/salu133445/musegan,swh:1:snp:7d5fb499449817439e7e353d34fbb2c0635e3493
34696,https://github.com/pi8027/vass,swh:1:snp:1fbe64703e1bc792df1217f0ce7580a4f73ac1e1
34697,https://github.com/VerenaMaier/pergm,swh:1:snp:bd106a4a449319d34fc799f6713c5f4dedd07020
34698,https://github.com/robjhyndman/anomalous,swh:1:snp:343054decc8e300523f4b674de93677d0a020667
34699,https://github.com/rachelnethery/overlap,swh:1:snp:2736180a60ae010419812d791cae0c3e7ad8be6e
34700,https://github.com/lee-djl/k-ep,swh:1:snp:caa4e6e30a6439f165024522c35a7d26fb897800
34701,https://github.com/JuliaApproximation/SpectralMeasures.jl,swh:1:snp:8f59797170dfe7fe4237796b2b5d1752afceee22
34702,https://github.com/austinschneider/MCLLH,swh:1:snp:c8268f3a0791f11e0484016a6589556b8c85c23e
34703,https://github.com/wltsai/Main-term,swh:1:snp:5773dcf5afebe6ebc30d1dba4efcaa3ddce32727
34705,https://github.com/IANW-Projects/InductionEq,swh:1:snp:d0540ffc33b95f10c5822fc12c91e14ef2182981
34707,https://github.com/chlee-0/KR-quasipolynomial,swh:1:snp:7ba411ceb918ec7448cfbd4d939819e340a98cab
34708,https://github.com/chlee-0/LinearPowerSum,swh:1:snp:f72ff384c9926eb74257e5dc3a6e9e73c3c3976d
34709,https://github.com/mlpi-unipi/drones-swarm,swh:1:snp:d930fe32708ea9b72e1a0895d984b458a1fdb329
34710,https://github.com/tslumley/bigQF,swh:1:snp:63ee78d468d1f57f83887f8e28ab2f78fa7bea67
34711,https://github.com/topology-tool-kit/ttk,swh:1:snp:004c3e3411d9b13a1f21b763ba77c7cb43264662
34834,https://github.com/sartorg/robinmax,swh:1:snp:8490afb8de8201584aba7a54b1baa19df7cb8f63
34840,https://github.com/hpchoi/fregion,swh:1:snp:d9dd9ff1a643a7e1a276f3bd9fad6ea19c80826d
34841,https://github.com/GAA-UAM/scikit-fda,swh:1:snp:353167320720c5addb93da82d70b405431d5240c
34843,https://github.com/MCDMSociety/MOrepo,swh:1:snp:d3224b40589af21409c1dc3a8df1dacad30e1f79
34844,https://github.com/SMalekpour/GMSC_codes_Paper-master-2,swh:1:snp:1a972bedd4c1d4279a96e7d394ab577cde193447
34845,https://github.com/juanedi/cap-typechecking,swh:1:snp:7c30036103ce8c9700edb737ce7d7bec85ceb355
34846,https://github.com/antman1935/lie_algebras,swh:1:snp:aecefedd0233ac5d64ae3f724db8cbcec0136d01
34847,https://github.com/lanl/jali,swh:1:snp:215455982d531a1ff83b15315cc20689b55d3464
34848,https://github.com/laristra/XMOF2D,swh:1:snp:8db943b5679e52c1df8012bd29ee4da904f33902
34850,https://github.com/agbonitz/xc_functional,swh:1:snp:6f7cba4b2182ebd75bee1b8e5d7c62c2d64a9196
34852,https://github.com/twitter/scalding,swh:1:snp:98aa6b7e1b92902551e325273903e9226c547641
34854,https://github.com/psanse/clique_enum,swh:1:snp:dedd599b5177d41e81e74016af5745d98622d563
34855,https://github.com/novotnyt94/Hypothesis-checker,swh:1:snp:f10761968b7fa8285282a81ac5c1ebbb2751e22e
34857,https://github.com/lrjohnson0/vbdcast,swh:1:snp:0906be9cb102786ce92e1d441d2a58523fac1449
34858,https://github.com/IvanSol/EES,swh:1:snp:a534ef93e050c9d63991a2ef61560c124090eded
34859,https://github.com/SwissTPH/openmalaria,swh:1:snp:482bf639fd677644fabb4775e3846e8289ddd7c2
34860,https://github.com/marcosmarva/DensityDependetFertility_and_IndividualsDispersal,swh:1:snp:3f4ae3dca53fcd366504a1e61dba934025028713
34861,https://github.com/LLNL/parelag,swh:1:snp:9518c20927c6cca55ce9e1eae245877b9ec9c24d
34862,https://github.com/sakov/gridgen-c,swh:1:snp:20728fd6958806ccebc859a1691085f8c0fc2c25
34863,https://github.com/ashleefv/glucoseRASpodocytes,swh:1:snp:ef881e5772805ce9b079d2265da9420976694f24
34865,https://github.com/BookIndRandSamplingMethods/code,swh:1:snp:c8dc539d8626a9f989db0e163a668be2615df659
34871,https://github.com/CCPBioSim/fesetup,swh:1:snp:474d91192f1913d2647d0e084aed6d0664a45331
34872,https://github.com/nonbiostudent/plumetrack,swh:1:snp:b9df510111a17a4f5970ae99942b082e7d12dd50
34873,https://github.com/gaolichen/cgcsubg,swh:1:snp:b4e6a3c85ab2b7961665d58d7d7f6aa865c6a390
34874,https://github.com/SuneGadegaard/SSCFLPsolver,swh:1:snp:f5845ef0a82197f8b7ac4db06c925595ff270c3d
34875,https://github.com/jon77lee/JLee_LinearOptimizationBook,swh:1:snp:d2a537c82ef37314ecda873db4bfbc32765ec078
34876,https://github.com/dkarrasch/FluxDoRe2D,swh:1:snp:8561b086597707492d4fc43e1d0d345cd329b79b
34878,https://github.com/StochasticNumerics/mimclib,swh:1:snp:02fb5a84b0616cf35e352b16054532c4eeacc296
34879,https://github.com/mfasiolo/LIMIS,swh:1:snp:de61544b98daef8efd6334c8621d3dc8bc0afc72
34880,https://github.com/ikryven/PolyRandGrpah,swh:1:snp:f202457b64790170b18edbddd2164f6e6c42850c
34881,https://github.com/Pat-Laub/RareMaxima,swh:1:snp:2ab5b0bae135334e96339dd2f0801b0922565a0c
34882,https://github.com/MatthewPeterKelly/OptimTraj,swh:1:snp:2a10cf0975fc3412d84ac24f7675b9c4e47c5067
34883,https://github.com/julianfaraway/brinla,swh:1:snp:a5797a9740d4a0138450a9f8f52acd0bf7c69455
34884,https://github.com/davidbrandfonbrener/jacobians,swh:1:snp:14b9b018e290d22fb04f1b801468dfecb095b7dc
34885,https://github.com/jdwilson4/MultilayerExtraction,swh:1:snp:6eab65800b543fca48b018c0165f398803096172
34886,https://github.com/mbrasamoros/RGD-algorithm,swh:1:snp:19ef2aa3f8f772381e1e961fb6f739f8db5a9c5f
34887,https://github.com/facebookresearch/darkforestGo,swh:1:snp:f3efbf59f508d74525830740240844b995b6ff52
34888,https://github.com/jbalakrishnan/WIN4,swh:1:snp:3c0b1888befb77f585317718700a2b5b6adcd600
34889,https://github.com/jtuitman/Coleman,swh:1:snp:16889d8c26db5aa925aca6568f6ec947294914c4
34895,https://github.com/ratschlab/MiTie,swh:1:snp:e43068253b5f506ce357cb82198e05a82d3d094e
34900,https://github.com/lmcinnes/umap,swh:1:snp:d35fe0e94cb07945b99daa522b9ff006b0132fd1
34901,https://github.com/KlugerLab/FIt-SNE,swh:1:snp:2c36b764d908a246a124e041ccbe30e89da47919
34904,https://github.com/jenniferjang/dbscanpp,swh:1:snp:41311a90be2c7ee6a1c440e31f6389481480fb9b
34905,https://github.com/lferry007/LargeVis,swh:1:snp:995cde7868f2cfcb24d410814dc7f9cf1cc8b404
34906,https://github.com/DmitryUlyanov/Multicore-TSNE,swh:1:snp:d6e8b10280829cffc65ebf0afdc61625832b0282
34908,https://github.com/sweichwald/coroICA-R,swh:1:snp:468c16c4a4bf7ae93de2e08f2096da65866ceed7
34911,https://github.com/sys-bio/simplesbml,swh:1:snp:0addc170f2170e8a273a6f50f422d621813ed995
34913,https://github.com/learnables/learn2learn,swh:1:snp:8c8165297d9567450eb83f0591014de1da5f7363
34914,https://github.com/jonasrothfuss/ProMP,swh:1:snp:6fd4fedc9868f2869b9799258edef457442f13af
34915,https://github.com/dbolya/tide,swh:1:snp:defcd9e34c7d549a3b5fe583c2387531f0c70f49
34916,https://github.com/dbolya/yolact,swh:1:snp:8b8dfa12fdd4105668b4edaa6779e444cd316733
34919,https://github.com/cc-hpc-itwm/PHS,swh:1:snp:58ba018b353b6c7bd40dda71b5a9f97d64967d2c
34920,https://github.com/LorisNanni/Audiogmenter,swh:1:snp:3ba11f8811acf733fd44070996274878ad259e3d
32490,https://github.com/nicola-gigante/bitvector,swh:1:snp:bff378408f412b52e45babc5a33bcd20e20775a9
32491,https://github.com/vigna/sux,swh:1:snp:86d6c609d0cce3ff571fb0a321679a3374283333
32492,https://github.com/inducer/pytential,swh:1:snp:174a85b93b5a17fce453ae0a7e49741f5a0aa143
32495,https://github.com/cran/clusterCrit,swh:1:snp:af7073bf8efc694210b916628057732f34594bac
32497,https://github.com/pog87/FakeNodes,swh:1:snp:37865e9819c35300cec10aa933fd960ef667e4f7
32502,https://github.com/ACAD-UofA/PolyLinkR,swh:1:snp:e3173c984b9725cba5c75dd25dc9dea12a55eafb
32505,https://github.com/faustomilletari/TOMAAT,swh:1:snp:f6a21c482ca8edf7e5e162d7a49a46cef58a40a3
32511,https://github.com/dotnet54/TS-CHIEF,swh:1:snp:bd8931fd1ec57fc11f97853247ce8eab5f63c4e0
32512,https://github.com/carrotsearch/hppc,swh:1:snp:c806cd33810f9f23b2447b3228491272fa04ec92
32515,https://github.com/dsg-uwaterloo/graphsurge,swh:1:snp:621d4680677774d82311cb3938a70198b52bbe55
32516,https://github.com/vasia/gelly-streaming,swh:1:snp:7f95c339fd6096932ce53ab1ea005a75d6da32fb
32520,https://github.com/andralex/MedianOfNinthers,swh:1:snp:9cd5c6852070a913365190485dd10ed411c3c518
32523,https://github.com/kitextech/kitesim,swh:1:snp:d7792ffc4e2eaaf83e03c5ffaf4a1263b86a24aa
32524,https://github.com/apastor3/laksa,swh:1:snp:78fc0747f2c7aadc6f3dddd77994cfbe2a017c5b
32525,https://github.com/david-kamensky/tIGAr,swh:1:snp:d9a61ad3163279b3a82079118a03aebdb27eb295
32526,https://github.com/pdclab/graphbolt,swh:1:snp:7ff8f09f776f1369646cf9a349e530565e3600a4
32528,https://github.com/jshun/ligra,swh:1:snp:75b8a7931e1b02fe11f1308fa28ad49470de87d3
32531,https://github.com/thinkaurelius/titan,swh:1:snp:7bbbc0fb0930eb3392e35f6530b59417f60e2b0f
32533,https://github.com/fabiomercorio/GraphDBLP,swh:1:snp:11b6a6e7136eef8ce2d41cf99380af32bceee307
32535,https://github.com/HazyResearch/EmptyHeaded,swh:1:snp:06318d19ea897f5baf035092f9b3aaf4e8dffa4c
32536,https://github.com/graphframes/graphframes,swh:1:snp:3f4f949939dc54f15f67bd89578ccdbf5e289be3
32537,https://github.com/JoyeBright/DeepSentiPers,swh:1:snp:56fbc3fbf7871a6e63cf966cbb3bfecb43a70a5f
32540,https://github.com/smartcameras/PrivEdge,swh:1:snp:370c90dff2a9b9a5adb459515708e7c030a020d4
32541,https://github.com/NUAAXQ/MLCVNet,swh:1:snp:3954f83aabb6f214ccb6f8e8af8505fde5c3c76b
32545,https://github.com/cran/unbalanced,swh:1:snp:e4dfd94186017d9cff64e72b59a58eae36458664
32550,https://github.com/BerkeleyLearnVerify/VerifAI,swh:1:snp:cfa3d6f66c81bc54dc824f530d4e51792284b4fb
32551,https://github.com/BichenWuUCB/squeezeDet,swh:1:snp:859c7d5f40bf9c90c9f2ec37bed8f9290114cada
32552,https://github.com/eriklindernoren/Keras-GAN,swh:1:snp:b27118fa38c6e2e75cc9d662523eeaef9ace64fa
32554,https://github.com/j96w/DenseFusion,swh:1:snp:f133b03e1a0c31872220f81621fe6349d37fd735
32557,https://github.com/yangyanli/PointCNN,swh:1:snp:db13bfdce26ce398ae97ce3646efc87263d84986
32558,https://github.com/qianguih/voxelnet,swh:1:snp:6782683fd3cfd1b52262d83544eb2042da75677e
32563,https://github.com/yewzijian/3DFeatNet,swh:1:snp:a51fcb3472631391fab80f18242052b7c4e12606
32568,https://github.com/xiangwang1223/knowledge_graph_attention_network,swh:1:snp:59d3d3860baff90f2b41c9b2d9585e4272d4ceeb
32569,https://github.com/mkauers/ore_algebra,swh:1:snp:05bec26d0c1dc09c8099974654e831e4bf7f31ea
32570,https://github.com/facebookresearch/SpanBERT,swh:1:snp:7efe3b7ca1200659717dabed3a6cbfb9d854265e
32572,https://github.com/VlachosGroup/ReNView,swh:1:snp:7e72e0782d95423df5318b3428be3d780efd8e76
32574,https://github.com/Alexboiboi/MagpylibGui,swh:1:snp:adfd0de2ed1370b8d9b5a12d9c250ca4e3756133
32575,https://github.com/cptanalatriste/isula,swh:1:snp:18f5002b5b2e88c6d12f5f53eb312c11c0be64b6
32576,https://github.com/dfeldmann/nsCouette,swh:1:snp:6145fab5a864172a59b99d73d3c98331cb0edb81
32577,https://github.com/applied-systems-biology/misa-framework,swh:1:snp:bf3e63c5e3147c54d058c4f11881675abeecedd5
32579,https://github.com/BLNNdevs/BLNN,swh:1:snp:510970f9475829431a3448dc040467090ed1dead
32580,https://github.com/niemasd/TreeSwift,swh:1:snp:a1e016939c6375d16b3ee02cf64757d8b0d18d9a
32581,https://github.com/gjospin/PhyloSift,swh:1:snp:ba4395bc12a0b99c198ee922c3fcad236c9721d2
32582,https://github.com/niemasd/FAVITES,swh:1:snp:1e9a2af358a3c0f34fe0b6c18ebc29d4be4793d6
32583,https://github.com/niemasd/TreeCluster,swh:1:snp:56cf3b754ab23e04855290abc7aecf5134107bf5
32584,https://github.com/niemasd/TreeN93,swh:1:snp:66f96a7180638602d8547c7ca1a2c19b7c9f4e5f
32585,https://github.com/cran/movecost,swh:1:snp:a02cf48fe6ab57e55642b52b7cc45d29ba1b969f
32586,https://github.com/gianmarcoalberti/TRANSIT,swh:1:snp:9f434b84c1e40831f6df107380747c718bd69138
32589,https://github.com/higra/Higra,swh:1:snp:8a2208f2c8bb87ddc14f25a091e51043709ad738
32591,https://github.com/ukoethe/vigra,swh:1:snp:b716c14168afe394b69daac797f3e07709a015e3
32592,https://github.com/xtensor-stack/xtensor,swh:1:snp:94e6867f6cf5393579514c1019d779964c5b9e1c
32593,https://github.com/shuzhiquan/IRIC,swh:1:snp:db5991f805d391b9c407ecb89540f8afe30e7db6
32596,https://github.com/wpriyadarshani/MWMOTE,swh:1:snp:2631ddf1227c7c21be2dacac402f4d5dfb54c332
32597,https://github.com/saadgroup/PyMaxEnt,swh:1:snp:058d5e50011f55bb39bb0693cdf6d5724974a042
32599,https://github.com/usnistgov/FogBank,swh:1:snp:0a3dd0c842eb88032801334c8a8c038928746977
32683,https://github.com/KieranWynn/pyquaternion,swh:1:snp:1c19552396745d70aaee23f9a6c9a1e44f26ab76
32684,https://github.com/glotzerlab/plato,swh:1:snp:e13dd71eff6d76131a78fd907189fb2038f97667
32685,https://github.com/matthew-brett/transforms3d,swh:1:snp:ced3591b3d3b89b35527b74d6cb4c43f83cb7be6
32687,https://github.com/moble/quaternion,swh:1:snp:9a003dc7585d6e9b81ad1e83c57a312ae16f9404
32688,https://github.com/EnvModellingGroup/hrds,swh:1:snp:1b0945f541ac2ba343398aff19fd210020415aa9
32689,https://github.com/lucask07/instrbuilder,swh:1:snp:3efcfd580759f2404380d881550d769c3939a3df
32690,https://github.com/pyvisa/pyvisa-py,swh:1:snp:87fda7517bff1494a843b7f66961b81049ab9fc8
32691,https://github.com/pyserial/pyserial,swh:1:snp:7dc52e05b209860a5dac51f2f57a7315ce1c9621
32695,https://github.com/baccuslab/pyret,swh:1:snp:4e86815843bd9bd87de082bc93d6d51f61f2c196
32696,https://bitbucket.org/cdegroot/wediff/src/master/,swh:1:snp:1abf2718abd98123b00b2b43fcee43c4db1753af
32698,https://github.com/RadioAstronomySoftwareGroup/pyuvdata,swh:1:snp:88a266726a3beab409768c76bd5ef355e59c2f65
32701,https://github.com/jcmgray/quimb,swh:1:snp:6ddd6fdfd59d637929c08c30510937ba78da7800
32702,https://github.com/stgl/scarplet,swh:1:snp:01f307692641ddaf82b81ac6b1c698ed45470f06
32707,https://github.com/cran/designGG,swh:1:snp:d28b7d7a8680709e3616e99a45dfcaad3ff23005
32719,https://github.com/cran/iZID,swh:1:snp:1e635ce3945a4532376d1af77a2dd93a596154a5
32720,https://github.com/narayanan2004/GraphMat,swh:1:snp:3ea5eca998a60a812a3795f3a38f1532854a5109
32721,https://github.com/numericalalgorithmsgroup/pybobyqa,swh:1:snp:20701ba9768378f13ce23b0b573a51a111676438
32731,https://github.com/cran/GenForImp,swh:1:snp:36b1a98d99e7def1647918dc172f8a2139143819
32734,https://github.com/TadasBaltrusaitis/OpenFace,swh:1:snp:f4024134c7a864d962d2195d37b0b6e034b3d2df
32735,https://github.com/hollerm/convex_learning,swh:1:snp:4cf7500acb10ac218acfe252d189ccdd6bf04643
32736,https://github.com/cran/SwissAir,swh:1:snp:958ff105c152b2466e639f3fbb5aa489742740c1
32738,https://github.com/barrywardell/CovariantSeries,swh:1:snp:409662289de82b274cf4af4950b8631fc976d37d
32743,https://github.com/cran/ES,swh:1:snp:24c42fc57045524404655a4502d77ddb46b9dc7e
32744,https://github.com/swufung/ADMMSoftmax,swh:1:snp:39ffe991cb25f1dad4dc20ee1c1b3c15cec35097
32745,https://github.com/XtractOpen/Meganet.m,swh:1:snp:d287bae74e352100f81c4479d5cebcc60b6121d0
32755,https://github.com/cran/fAsianOptions,swh:1:snp:a33ca9d65b6955d47e260fae15bbfa7bc43dfdd3
32758,https://github.com/gorecki/HACopula,swh:1:snp:228dffdb7764657f56604902a2fabf7bcce3b96d
32760,https://github.com/stulp/dmpbbo,swh:1:snp:a44fa55a78b9707e8bb0730c6a28076927b6c28a
32761,https://github.com/Cavenfish/autogamess,swh:1:snp:8f5c6447acf7a5621e3f73007f8e36f8aa2b9470
32764,https://github.com/prmiles/pymcmcstat,swh:1:snp:65b148b683a3ba002970d436a0a24d6946437db6
32766,https://github.com/abel-research/ampscan,swh:1:snp:923a0d459aceab109ba39efff8f2fe858a800f37
32767,https://github.com/sjspielman/phyphy,swh:1:snp:463e186dac039e4a5e58f3085eb4cc628ecf1a78
32768,https://github.com/veg/datamonkey-js,swh:1:snp:cc4b3718f7179fc6b7fc98ab5420955c2857ce71
32769,https://github.com/momargoh/MCycle,swh:1:snp:96e1e5036ef14240b73031e1d400e1563ca1488e
32772,https://github.com/drvinceknight/Nashpy,swh:1:snp:d994e45b71a2902b5e06685757cf6e15fb39fffe
32776,https://github.com/numpi/hm-toolbox,swh:1:snp:aaf91afe982268c9203637d8ad53d62decfe5310
32777,https://github.com/sivaramambikasaran/HODLR,swh:1:snp:a38544f7f90c4ed89a031b329aa720df8426959f
32778,https://github.com/H2Lib/H2Lib,swh:1:snp:c66beb75e8bc0d8ebe4d20841e934fb88ed67d37
32779,https://github.com/nauotit/openf4,swh:1:snp:7c8ac2fade33f966fd385e3a1e9b8427fd11a520
32780,https://github.com/HaraldHofstaetter/Expocon.mpl,swh:1:snp:13bc03850754af76ea2725619a8d3c04a5ad0abf
32781,https://github.com/cran/ACD,swh:1:snp:4c67dad97c36b0828c7f5ab847cc5d0f0756d9e4
32782,https://github.com/allanwillms/PRRMD,swh:1:snp:fbcef8d3aea13bad424a604376964be5f4dc5dff
32783,https://github.com/v2south/PottsMix,swh:1:snp:294f35ef5676bf267a0291275872d0e796bfd9b6
32785,https://github.com/cran/spagmix,swh:1:snp:4662ff54a174a0cda2808a430bfe16618906274c
37200,https://github.com/KieranWynn/pyquaternion,swh:1:snp:1c19552396745d70aaee23f9a6c9a1e44f26ab76
39080,https://github.com/googlecreativelab/quickdraw-dataset,swh:1:snp:787aeb9cf2307ad20b8f62bb405d20c2358ea68a
39081,https://github.com/DelMaestroGroup/PartEntFermions,swh:1:snp:4d548a846e9371217d9a252ad33719d79b945f1e
39082,https://github.com/MelkoCollective/BH_diagonalize,swh:1:snp:5cc895a8b4e8ffe7ec0d622e1bd5182e817f2c74
39086,https://github.com/jameslairdsmith/gs,swh:1:snp:01c0e8951e5ab1e3c5f54681eef9a9d029fd314c
39410,https://github.com/Eiii/opt_cmp,swh:1:snp:a12f4304f8eea0b38707cd10cd7bf698e5ef0940
39411,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00022,swh:1:snp:65cd9510351f9fed0cd435fde1bd2c172a939c1f
39412,https://github.com/intel/yarpgen,swh:1:snp:f3b7ec9ed1de3dab968f6cb1fc99effb3fb78661
39413,https://github.com/CMalagaC/OpenMOIST,swh:1:snp:153605b9e2604104da0467af84e777beb47268ea
39416,https://github.com/wackywendell/tess,swh:1:snp:502b4067ec39e397f2954533bbf006a47381660d
39418,https://github.com/claesenm/optunity,swh:1:snp:5865ee2f02eb6ca336185e72e0df5a31fed2e121
39419,https://github.com/gagolews/genieclust,swh:1:snp:bd79c9bd1fd0bcf4416e7a05262df8220ce6b7d7
39420,https://github.com/nmslib/nmslib,swh:1:snp:5fd188805fba8ff0d2d42a5aea12df8bd70dda42
39421,https://github.com/scikit-learn-contrib/hdbscan,swh:1:snp:a3ed0de73849678612a6ce5a47f5af10c6fdef74
39422,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00057,swh:1:snp:775a7be4ef616e9617778ac84a4f8f4b9d8cecf9
39425,https://github.com/kbknudsen/PyEIS,swh:1:snp:5b435c996ec9c7b3c81fc9229b9e0766590ac126
39426,https://github.com/cran/RobRSVD,swh:1:snp:d35bb446b1131ace66c054df13571e38b65193b8
39427,https://github.com/online-ml/river,swh:1:snp:0ee8fb3349dbb4d6ba4c761ef605147c7a135baa
39428,https://github.com/MaxHalford/creme,swh:1:snp:6d06003151add3b5822e19e82e03bed47bcd4e3f
39432,https://github.com/tijana-zrnic/SAFFRONcode,swh:1:snp:253e14069af5b31b81a424cbd85b87c3531b2d9c
39435,https://github.com/stephenslab/smashr,swh:1:snp:2be1d19b6d8d23113c90929cf685dac75d3a34ab
39436,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00010,swh:1:snp:d1b75cd99f3fa5d9437cbb3447e54a417c15ece6
39437,https://github.com/marcono/cloth,swh:1:snp:91ace376a8b628d9abfeae7c95ddae49a6a91c71
39438,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00104,swh:1:snp:bed849bb261aa69a17c0175fe5a62284f70ef184
39439,https://github.com/kramergroup/openImpala,swh:1:snp:95bbb9e87ee277dc899a2b054cc98e10132ff7b4
39440,https://github.com/djkurran/MWSegEval,swh:1:snp:b7e57f4834e00acc15498369cc31a0c70c844717
39441,https://github.com/lszeremeta/SDFEater,swh:1:snp:0e8f6f6321e6585757511d7e05c35bacf5083fdc
39442,https://github.com/lszeremeta/molstruct,swh:1:snp:5e056e2a2a4c47fffa726edd48cd37a92ea1a7a0
39444,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00045,swh:1:snp:dc06aefb1f2de23474d53eae9c80ce6738ad160a
39445,https://github.com/Sebbyraft/SentinelDataDownloaderTool,swh:1:snp:5bbe1d22ef96a8f2920f9f7f3f87d9acb01b6aea
39446,https://github.com/Xiul109/eeglib,swh:1:snp:2e9f5999397b88b29e1909e5543fe8330a9e1b1a
39447,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00086,swh:1:snp:55758465545c46c61701e679e40c254ae84d0cd5
39448,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00053,swh:1:snp:28904dcddd8aa348c8f96a8bb18d072bff4badf6
39449,https://github.com/ElsevierSoftwareX/SOFTX_2020_270,swh:1:snp:4182418e7da4295d6b7f33cc0e613df65efaa3ce
39450,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00063,swh:1:snp:7df5c0975e2566d3a153b13f3942c50bb2b649f5
39451,https://github.com/ElsevierSoftwareX/SOFTX_2020_88,swh:1:snp:5be9937cb49600d8df363a57bfc203ca1c381e8d
39452,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00030,swh:1:snp:26f2cd18afd8a548eeb4b96ffb4b4c04051b5921
39453,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00056,swh:1:snp:ccf8d991c91d73bd9537c4f06851ade5de1926fe
39454,https://github.com/ElsevierSoftwareX/SOFTX_2019_257,swh:1:snp:40b9b3dc995e7f109a777115d423cecd83c5be43
39455,https://github.com/iitis/QuantumInformation.jl,swh:1:snp:c1e72e1977b76f969baafbb3b545daada5435f67
39458,https://github.com/ElsevierSoftwareX/SOFTX_2020_249,swh:1:snp:0d2b8fe915a536b93575d51efeb5a684788db5c3
39459,https://github.com/MPBA/pyphysio,swh:1:snp:f8e927b792415ce05466fe600373b27c7cda2415
39460,https://github.com/giotto-ai/giotto-tda,swh:1:snp:636e050ce586446b22229cd96fcf876a8105b33c
39461,https://github.com/stephenslab/flashr,swh:1:snp:3adb9be7e25f3b58dc9a5711ca410ad8ec63f69d
39462,https://github.com/gd-zhang/IQC-Game,swh:1:snp:440b4aa645dc01d1bc27c974c0bcd248b21f823b
39463,https://github.com/PyThaiNLP/pythainlp,swh:1:snp:e9cc89bb91362491d304fe46521fea584cb13c40
39464,https://github.com/anoopkunchukuttan/indic_nlp_library,swh:1:snp:fc1b4db4aa5d147a848dc55ef4f6a2313ef584ce
39467,https://github.com/kakaobrain/torchgpipe,swh:1:snp:359ceca873e27a43a7ec04562b04e7f9a8502c02
39469,https://github.com/google-research/bleurt,swh:1:snp:6e3291fa8308303514da9b641cae00584b78bc21
39470,https://github.com/tensorflow/mesh,swh:1:snp:12ed66b60294cd255eb6b037cd4d251adf606a92
39471,https://github.com/facebookresearch/cc_net,swh:1:snp:96ee609fee10b7c046d8e97915717b0debb7667b
39475,https://github.com/maher243/BlockSim,swh:1:snp:5646fbe20cdf25d5d3a72e4f48f065719757c508
39479,https://github.com/elejeune11/FM-Track,swh:1:snp:113c4e8d099077c6c372b5e63ee2578179e4347e
39480,https://github.com/fiji/TrackMate,swh:1:snp:a2f760eae3670c3baa09b35a384431763b3c1ed4
39481,https://github.com/scikit-learn-contrib/py-earth,swh:1:snp:33208779025a1eada018859bc63055dd86add9b0
39485,https://github.com/vsangelidakis/SHAPE,swh:1:snp:c3cd314cad83b398e82b85e25240c7e965ab567c
39487,https://github.com/AntonSemechko/Rigid-Body-Parameters,swh:1:snp:98ad55aacc0dd77600fa37a1c97c5ec25f6a76ce
39488,https://github.com/sihaeri/DEM-ClumpedSphere,swh:1:snp:0861ecacb7d276b8752f65d8cfbe506a5285c839
39489,https://github.com/mlund/spheretree,swh:1:snp:f1811ed73f6977f50201227c2402d18c875150e7
39490,https://github.com/cran/sen2r,swh:1:snp:9bba2fa863a4546bf617dc78fe8159a1f5cda2c8
39492,https://github.com/toddkarin/global-land-mask,swh:1:snp:91fe1f7b1b9d86abac44e24e5a5858b0690ad0d0
39493,https://github.com/python-excel/xlwt,swh:1:snp:583d6fc49f51cb2d7f6cd83a71b654691e5a945c
39499,https://github.com/NHERI-SimCenter/PileGroupTool,swh:1:snp:2101c05046452128bc9383ddb68e7b159f73e3b0
39503,https://github.com/bachlab/PsPM,swh:1:snp:7e2346451a9bc1e7db439163026f7f9834e4827a
39505,https://github.com/lciti/cvxEDA,swh:1:snp:137d17c6db14c5b034b1b59b4d872877d71fcb97
39506,https://github.com/milegroup/ghrv,swh:1:snp:8a9e72e3f30d0ce831b8a89465fa2c707d838013
39520,https://github.com/salmans/RazorExamples,swh:1:snp:d1da63e20e8a6f83d05090cb2bd909f2ec6cb16f
39521,https://github.com/JuliaLang/PackageCompiler.jl,swh:1:snp:6cec0edd3bd49511598cdb2031be1f96743a5c20
39522,https://github.com/PIK-ICoNe/NetworkDynamicsBenchmarks,swh:1:snp:97a33cd5730881c54a9838dff7a8faeea67676aa
39523,https://github.com/gbasulto/kerdec,swh:1:snp:2c83bfc95b1da4be24a9b78e698eb4113de33ab6
39524,https://github.com/cran/fourierin,swh:1:snp:296cd883861827a28972be117dcbd5c14dcacba9
39526,https://github.com/jmp10/damage_throttling,swh:1:snp:f92eb25a68120e8a94324577663182060311cd2f
39529,https://github.com/google/neural-tangents,swh:1:snp:0b4d9eb681accf81cc3d2e9c319899670a88c1f0
39530,https://github.com/alexhepburn/perceptnet,swh:1:snp:cfe7fc813163a672427b3b690c200e55541f4ca6
39541,https://github.com/kchabuda/TNQMetro,swh:1:snp:4f3bf8aa73ab0d5685c53e2f71585b29b9833327
39543,https://github.com/dceresoli/qe-gipaw,swh:1:snp:7a43f7b729d5a68df16b5ee74f6549fabf1c3a8b
39544,https://github.com/ZhaoJ9014/face.evoLVe.PyTorch,swh:1:snp:dda3717b3270163e2de6a9f3e36a81283d95358a
39548,https://github.com/SciML/NeuralPDE.jl,swh:1:snp:1c209416053d928ebe25dd423a93fe524ac6d507
39549,https://github.com/tensordiffeq/TensorDiffEq,swh:1:snp:c447a0efe4e558f64565865f2c2ade7c5d7255eb
39552,https://github.com/hknd23/idcempy,swh:1:snp:08c3ced90fd4f2becd13438f8acd0f61231e8333
39555,https://github.com/meinardmueller/libfmp,swh:1:snp:954e78c7ee8821e944a3c653d6806d185bf21b5b
39556,https://github.com/marsyas/marsyas,swh:1:snp:a5e953abe53e1f92a8225bbfeb9e5fe1fe9fd0e1
39559,https://github.com/cran/caracas,swh:1:snp:ce3cf0d4dfb0fa321ba8b6fc2e012c7e3ae15c49
39560,https://github.com/kutaslab/fitgrid,swh:1:snp:f508f6847df30257cd769cfd29e31c55918ebfa4
39561,https://github.com/rerpy/rerpy,swh:1:snp:4717151f9a3e4d162b76c10fd0e334f4d717829a
39562,https://github.com/unfoldtoolbox/unfold,swh:1:snp:edfa407e9089319e365406627986b92f0c5c99c2
39726,https://github.com/JuliaManifolds/Manifolds.jl,swh:1:snp:970b80c2fe0a0fe1de6853f8a78dc69c55b36796
39735,https://github.com/xgp/sql2java,swh:1:snp:c46f43bfa54b267f5de8ee793fe7758041d02f11
39743,https://github.com/adedner/dune-fempy,swh:1:snp:1ca0f2ed0e350b4d8f400908c68550388bc60e30
39745,https://github.com/HKUST-KnowComp/HeteSpaceyWalk,swh:1:snp:449c12d421a1222ba7c128fe9d3d046089e4a8bc
39747,https://github.com/TSGut/SparseVolterraExamples.jl,swh:1:snp:34a7f84503d21236962d934f17f683ddcb9b589f
39748,https://github.com/JuliaNLSolvers/NLsolve.jl,swh:1:snp:757b43ebbc6b02da4d20d93035ee0a3d0eaa7f70
39750,https://github.com/pypr/automan,swh:1:snp:6e038db5028bb8da255b0d5d153ab9cdd1d8645b
39751,https://github.com/bmc/munkres,swh:1:snp:5eec4f49b65caa37481c87de52b7f46cee341849
39753,https://github.com/drufat/licpy,swh:1:snp:8659e72ea7d0a50b411b8272564791923d0f5e50
39754,https://github.com/marylou-gabrie/learning-synthetic-data,swh:1:snp:3c1829c52d2663ea63c9997943171d5623dad410
39755,https://github.com/hoxo-m/densratio_py,swh:1:snp:c1bc318889494f9f8153e8b59e5cf5a5ff60cc33
39759,https://github.com/iskandr/fancyimpute,swh:1:snp:c7699e853c630f8d628420b9328a910135899d31
39762,https://github.com/mblondel/soft-dtw,swh:1:snp:017a41c2fc06deefced10174602e498b0e8af822
39765,https://github.com/DrugowitschLab/dm,swh:1:snp:0bcc8663b9d29b641c5967e2e2676c98321856c3
39767,https://github.com/derrynknife/SurPyval,swh:1:snp:2489a641ebd8a54d74b021c8e3a7f193dabc6283
38386,https://github.com/gaelforget/ECCOv4/,swh:1:snp:48ce8e80b29c40c1c7a66e97f31f6a5f38f9bb10
38394,https://github.com/scalable-matrix/H2Pack,swh:1:snp:7bc31efa55d72c137c17cdf42ddf536c601ce1be
38396,https://github.com/cran/Apollo,swh:1:snp:ab7e5676426304f25fd2a0119833c70e9d89ccdd
38431,https://github.com/yooli23/LEGOEval,swh:1:snp:35de45bb5b92598e00d274a51805eb2899cb8b29
38453,https://github.com/FelixKrueger/TrimGalore,swh:1:snp:49d0e444fb8c1eb7a0fe08adb9191f11d696d023
38459,https://github.com/BYU-PRISM/GEKKO/,swh:1:snp:0c3ef8df863630e78c1e81aa68f3ff0d75526a53
45827,https://github.com/cran/relliptical,swh:1:snp:fc592722470f16468e5daa18e8d33f91976757a0
46388,https://github.com/inoryy/reaver,swh:1:snp:0428446f16f7a79c90ba4532d5d1d2ddbe363e3d
46713,https://github.com/cran/lax,swh:1:snp:6dd10d96d5d4bd92d1b892e7fac23a6943ff7114
46444,https://github.com/bsc-wdc/compss,swh:1:snp:ffb8e89108cd59962a57b31702fc87266694c27e
45352,https://github.com/zliu3/SPMGBA,swh:1:snp:c11fccc240d4036c5bd98007dc83640f8094a38a
46029,https://github.com/tweepy/tweepy,swh:1:snp:047612fe61a91ad7baad0aea47171a6ff2c366e8
45959,https://github.com/loganbvh/py-tdgl,swh:1:snp:73390830fc5cab36f9e66c61d02412e99d5e3fea
45956,https://github.com/linlearn/linlearn,swh:1:snp:b106b181915c7c9a2d6fc62d7ed5d89b5f8acad0
45983,https://github.com/MoonLight-SteinsGate/EcoFuzz,swh:1:snp:9d1925310cc3de7e998ff3168363fe4e83210d5e
46571,https://github.com/pckroon/pysmiles,swh:1:snp:b73ea0c42a6673003dd3611213a614e4edc462af
46500,https://github.com/spectralDNS/shenfun,swh:1:snp:59ac0fd583137ebb9573b60d7413b940ebc97ff7
45450,https://github.com/NREL/floris,swh:1:snp:2fc2bc0689435f26c5052349dd53e5b5581f4d7b
46301,https://github.com/digantamisra98/Mish,swh:1:snp:7998627f7010389c64970ba328909a43e933bd50
45777,https://github.com/ulissigroup/amptorch,swh:1:snp:05a745de5ed6bc9cab44bd26dfd8607cccdb2c96
45605,https://github.com/amkozlov/raxml-ng,swh:1:snp:dd06b78388024b38990b2f2ec96ef06bb37f88ab
45454,https://github.com/didymo/OnkoDICOM,swh:1:snp:0949ae59c0df3ca0ee0938c766f5d0366b247f15
45857,https://github.com/marouenbg/VFFVA,swh:1:snp:a7ca3867371cc812816026492b94946dbfeb0ca2
46618,https://github.com/pytorch/functorch,swh:1:snp:92c8ac430c3502b47e9fb234aa6fb95f6b6d1594
46100,https://github.com/pietrobraione/jbse,swh:1:snp:6b1f09307ca222967a7d6fc17d49dc202982ccd0
40994,https://github.com/stanfordhpccenter/HTR-solver,swh:1:snp:aa5a50bafdc9df72f79db7c8532a1ffdf98d7fca
45574,https://github.com/affeldt-aist/monae,swh:1:snp:5ce7ec931e8016575551899eacbeb2e10f9f1d72
45320,https://github.com/cran/innsight,swh:1:snp:fc470175beab00812241aaacdb5349ee3b1fbadd
46240,https://github.com/zjwang11/irvsp,swh:1:snp:57df93f9ff8d93eb194522623b1c93786afbf60f
45685,https://github.com/galkintool/galkin,swh:1:snp:a0a60e31ad496009782e2a4852433e5b0b7c5998
46312,https://github.com/dobraczka/GeCoWrapper,swh:1:snp:f3cd99ed56391445c0ac4f3a41e7d0f00cb8bea3
46168,https://github.com/cran/Bernadette,swh:1:snp:03d08ded94a07f2ffd03c13d318fb34d544e1e27
46090,https://github.com/havelund/dejavu,swh:1:snp:390c3e369e360e4c6c28553400bdbdaf082e930f
45487,https://github.com/ycwu1030/EvoEMD,swh:1:snp:42cdff62fdc10feca45aecfef433a3362dcf3f71
46377,https://github.com/cran/elasdics,swh:1:snp:75dd57abb537228ecd1fee26b27c811a83b856ca
46233,https://github.com/yinwenpeng/Answer_Selection,swh:1:snp:d43d54fa623209aa3febb8796a3ed1942690b463
45376,https://github.com/alexarice/lin_inf,swh:1:snp:5e45cf41d6fb8d84334f0dd4bb1eb817803d9273
46512,https://github.com/hippylib/hippyflow,swh:1:snp:70e85934a9e51be309fccc336e29eaed29de16ac
45688,https://github.com/cocotools/CoCoTools,swh:1:snp:5f4f3e4687c3eb546b338d7473ca83b63dd8b467
46503,https://github.com/pmediano/syndisc,swh:1:snp:e5e8a8261d1f155288d029ba7f7c4dce2f518087
45965,https://github.com/SharanRajani/BinaryRegimeModelTesting,swh:1:snp:5a3ef1db49c960def9f178f2aa8ba331440e8fa2
45325,https://github.com/lucaferranti/FuzzyLogic.jl,swh:1:snp:cfdc0bc42951b733bba92b304ed168c2401d1927
45891,https://github.com/cran/TDLM,swh:1:snp:9d1f3823f9754780ddaf77c9b99f44d5af359ee4
45905,https://github.com/n-claes/legolas,swh:1:snp:67cbee2dfa113f0539f884eaacae2fd5ee6fe143
45509,https://github.com/dynamicslab/pykoopman,swh:1:snp:d230eac45920960688821b9ded75268de2d05730
46613,https://github.com/seravee08/TopoGAN-ECCV2020,swh:1:snp:75042767751837cc3468119d88ae656574156f92
45766,https://github.com/HTSykora/StochasticSemiDiscretizationMethod.jl,swh:1:snp:ec3e1a77c9d0b244b0d93c7ff1267c63fd3be2e7
45866,https://github.com/anse3832/MUSIQ,swh:1:snp:de3f1b943f3d71f32d354ba38ec250ea464fe66e
45416,https://github.com/EEESlab/CMix-NN,swh:1:snp:09dd774ecf1be12559abbef68d972fb2a59fc111
45507,https://github.com/twitter-research/sign,swh:1:snp:2adc9226c82a3774ac2d06a039e21a9b84671112
45469,https://github.com/leo-brewin/hybrid-latex,swh:1:snp:c13553687b6e8b1e6b7e46577398eb92fa4b1dca
46609,https://github.com/ElsevierSoftwareX/SOFTX_2019_54,swh:1:snp:927c4a9ac0d8353436b5ffeb1c81f766c0dfdd63
45756,https://github.com/nextstrain/nextclade,swh:1:snp:3d6c997e73a055773903ab1d05bfe11eb3d5deaf
46442,https://github.com/neurodroid/stimfit,swh:1:snp:275069137c99d195c9a00d4613928a6cedb8e4ed
45220,https://github.com/cran/BayesMortalityPlus,swh:1:snp:65210710d69c536a56c0d80d667cd3775c25f562
45286,https://github.com/sachaservan/prosecco,swh:1:snp:73895cb3898897a550b704c8f1f4424b2d1fcd95
46347,https://github.com/PQClean/PQClean,swh:1:snp:74c7ffd3961be63abb063cf8eff9cc67105b1c5d
45386,https://github.com/annusgit/deepdocclassifier,swh:1:snp:f45907417f8dd6a0f7de358db24204ee9d5674e0
45366,https://github.com/rntmancuso/black-box-profiler,swh:1:snp:01637fba9daa209987336dc33435f2c3c37a7703
46308,https://github.com/xuanqing94/BayesianDefense,swh:1:snp:cbb037c0b92c8a40c342e069270c179e0f08809c
46694,https://github.com/AnderGray/ProbabilityBoundsAnalysis.jl,swh:1:snp:62c063eb98013ea9d0f1a58002998f1320c210c5
46246,https://github.com/mathLab/BEMStokes,swh:1:snp:e8027f4ee516a23b4c950cc34d70e73e6f0cbb3b
46622,https://github.com/eclipse/xacc,swh:1:snp:b0e2127d9342c0efa66ccd81a779e6b659c14dd7
46051,https://github.com/RPI-OPT/APAM,swh:1:snp:1dd7f890d0ef01bbbd9ae66d08bd646741b45fcc
45233,https://github.com/HenriquesLab/ZeroCostDL4Mic,swh:1:snp:2cf044176282e843e8d6ea613d41617746a48b60
45933,https://github.com/spacetelescope/webbpsf,swh:1:snp:09ef86167b287ff029f601870c9e5af0c6c94705
46409,https://github.com/TEEL-UTokyo/P-TRANS,swh:1:snp:c88664ec40e8b8538082989c634703c661db7fd3
46297,https://github.com/MilesCranmer/PySR,swh:1:snp:ef9c7f82ff55951cf8cbb69bf1a8abb510ebd145
45446,https://github.com/James-Thorson-NOAA/VAST,swh:1:snp:a31f0fc651c250ddda291810128417daedf89f7b
45789,https://github.com/FabioAndrePereira/PADRES,swh:1:snp:326f695ec943263ff85084ffa51738fa7a2abdf7
46357,https://github.com/gbradburd/SpaceMix,swh:1:snp:74c210b3d75374af1a08af8a854a35f6446567e4
45899,https://github.com/jacomyal/sigma.js,swh:1:snp:30e2ae259db57deae8f73ba7d2e68c36c4fc359c
46626,https://github.com/sandialabs/Spitfire,swh:1:snp:7b5b4ef160bac777386a2eebde07d57336c1f37c
46634,https://github.com/yuanwxu/corr-net-classify,swh:1:snp:05bef2a651e358abc382c10f94ad515f9e76e3db
46404,https://github.com/hetao12/KerUTest,swh:1:snp:3be1fb4708fcde07709dd892d4cdf9e43f5926c7
46262,https://github.com/saschatimme/PolynomialAmoebas.jl,swh:1:snp:b45e17d5ffd64f8083d220ae542d81babc34f191
45329,https://github.com/fruzsinaagocs/oscode,swh:1:snp:4f924cfc91a972a2154a071617148cb56d8b1576
46361,https://github.com/cgalab/surfer2,swh:1:snp:11f7760d6df481313f96aaadf5800d07e6350f30
46058,https://github.com/dmsteck/paper-regularized-qn-benchmark,swh:1:snp:7e7c2d5656d85303913af3a48bbaa68f24a8e22c
45584,https://github.com/nicoguaro/continuum_mechanics,swh:1:snp:ba46798af19454500ac21d445dce62bca4c71ebe
45988,https://github.com/martinfleis/clustergram,swh:1:snp:dd114e5935359e8a3b12497ec4144e3e4728e6fa
45522,https://github.com/GiulioRossetti/dynetx,swh:1:snp:2c9fdedb1b9f4683e286e0f58a714b59b4a574df
45533,https://github.com/jalemkul/gridmat-md,swh:1:snp:eeea6c27f6a624768f6651310027f2cdf4047212
45583,https://github.com/JulianKarlBauer/mechkit,swh:1:snp:5a24fba96834714cfd150a667361b781a7693ce0
46170,https://github.com/RJDennis/SolveDSGE.jl,swh:1:snp:52f6302499081d7e9ac654f2742640b9dd03fb9e
46478,https://github.com/xtma/dsac,swh:1:snp:33c8ca7f2bb400a7ab719055cd866e2803ff5661
45931,https://github.com/brandondube/prysm,swh:1:snp:cc0dc3ca26b58fed8dfa87d534b88c370b67c3ce
45604,https://github.com/tallulandrews/M3Drop,swh:1:snp:17039451295bddbe6131571aebe00fb6b206b17d
45739,https://github.com/jacobmarks/QTop,swh:1:snp:960c5c5f164edee47ed39e0da19b13fcbb98508e
45428,https://github.com/w3f/schnorrkel,swh:1:snp:8fdc24cffc8faf801f265ae480502f6ccd2fe86a
45655,https://github.com/dderiso/gdtw,swh:1:snp:f9430e0eda36df7a4d6f547260eecfdc029e7745
46550,https://github.com/cran/melt,swh:1:snp:704402ac7c605432a09aa3f927b9f0b08ed47604
45796,https://github.com/bpmn-io/bpmn-js,swh:1:snp:248ca712547d2c945dc5d8c5ecbc65fabefea57f
46053,https://github.com/atoptima/Coluna.jl,swh:1:snp:35445911dd062f15e9f5fcb4388e2e5b5cf1f9b6
46109,https://github.com/pola-rs/polars,swh:1:snp:f854afed10f87262baa6d674e47dcfe9313ad623
45425,https://github.com/google/trimmed_match,swh:1:snp:212c92699a94b69adb1b2ff9ffe9b0133541c837
45328,https://github.com/fruzsinaagocs/riccati,swh:1:snp:9dcaa6d27c6b5fb658207b708993fdc1f4e16a23
46130,https://github.com/JuliaStrings/InlineStrings.jl,swh:1:snp:f337429c903c4f63befed4e2c29978dc3dd1299e
46475,https://github.com/spotter-ai/spotter,swh:1:snp:0fe3ac64ed948eeb1fee008102a0705563bba9f6
46205,https://github.com/LittleYUYU/CoaCor,swh:1:snp:1056d6e11892f75cc6cacb22be3a9329ea161e65
2735,https://github.com/cran/CLUES,swh:1:snp:adf946b76e697c894ebd61278c4c00db276f40f4
3177,https://github.com/MaximeBreden/DPCM,swh:1:snp:4e76afbb2b06e77a3e4b8e605c36d8df0ce0db15
6451,https://gitlab.com/unigespc/palabos,swh:1:snp:d4f4a065c2da2f0067876e31f578d9df00ec532e
7974,https://github.com/cran/Mcmcpack,swh:1:snp:6c3edca6bd81c50be4cc4fd25962c4d125b4af5a
8189,https://github.com/cran/Plus,swh:1:snp:49ea9635fb9ade4d6d2ff4fcd7abd0c5e9b3c08f
8289,https://github.com/cran/Geoxp,swh:1:snp:f99ed11d16ca9044b496eab9a03a0d5b73cc8638
12134,https://github.com/galettof/InvariantRing,swh:1:snp:6ad13c2d2d442dce1fd63e7217bd42487425cf6f
16239,https://github.com/cran/Fungible,swh:1:snp:e0453b10ec1bc6dcd5403a0e579a85e5454f4c35
16242,https://github.com/gap-packages/hapcryst,swh:1:snp:fa8ce081f9df0f0dd7b90d58db2977c536b44789
16965,https://github.com/tbates/umx/,swh:1:snp:ec63177a65da8eea38d57d71de69da306eeeca7a
17030,https://github.com/Accla/graphulo/,swh:1:snp:16ae8b703772814a6172869caee840498c459588
17093,https://github.com/dib-lab/khmer/,swh:1:snp:d7f3303041651d1e163b1cb9ef98db9a485834a1
17542,https://github.com/dgleich/matlab-bgl/,swh:1:snp:91c4960e3f125eb031a4e3d19e657e9841bdcf30
17565,https://github.com/cran/TCLUST,swh:1:snp:76cdc6a12b6bb06818fb99dfdaf9b139e5fcf900
17592,https://github.com/phlegmaticprogrammer/hipcam,swh:1:snp:09c0d8d2e54cbc58a35e2e73c86ea9456416bae5
17670,https://github.com/cran/Autoencoder,swh:1:snp:aa3a18e53191b6d506f2ea64d516e709545fa726
17714,https://github.com/sstucki/pa-ode-gen/,swh:1:snp:5d5c1606d73f64bd9dc79bbe477593c532c43a1c
17805,https://github.com/cran/robets,swh:1:snp:90fc1a10218b970a2cec517fdb5f93ede764163e
18035,https://github.com/zigasajovic/dCpp,swh:1:snp:c81a2795f4ddd4ccd36b6d9889edafd01fd3dc65
18535,https://github.com/libigl/libigl/,swh:1:snp:e16aa23490250d8fbbbac8c0cd789cd35c2dda84
18536,https://github.com/gilbo/cork/,swh:1:snp:c4db0846b0f76cd7c7bf8417be406bfbda0d0d63
18621,https://github.com/orbkit/orbkit/,swh:1:snp:b5bdaa3c05ce3298381b931037ebff278d0f63b5
18920,https://github.com/faircloth-lab/phyluce/,swh:1:snp:de1ce40c3b7080afd21f5f6172234d1728de40c8
18958,https://github.com/ryanvarley/exodata,swh:1:snp:9619d482af938bc4605f948cb774aabf9526d927
19208,https://github.com/RDFLib/rdflib/,swh:1:snp:75156473cc23d465e6080f467db9060d08865313
19686,https://github.com/joaoleal/CppADCodeGen/,swh:1:snp:e6cb5d9782e414ee5048de55688471d12ac4abb3
19711,https://github.com/tisimst/ad/,swh:1:snp:2a2fb3ed590c951fc85ccbe2e60df99b38c9c4c3
19914,https://github.com/dlr-sc/tigl,swh:1:snp:ac6b28b7c148a609a868d3f64ba96a27ba7dea3b
20447,https://github.com/jeanluct/braidlab/,swh:1:snp:d9b150f98731f6ee9042b8155845c0d4e2a5f72f
20462,https://github.com/larslau/pavpop/,swh:1:snp:857209ddc8db6940245021b9dc9fdbc5cbe44794
28445,https://gitlab.com/mauricemolli/petitRADTRANS,swh:1:snp:b186be0da5b44f5e4e8e16567705d0efe7d42489
28449,https://github.com/benfulcher/hctsa/,swh:1:snp:d1850b06b606a49815ba278b4f0f4b14130d2019
31045,https://github.com/ucl-exoplanets/ExoTETHyS/,swh:1:snp:fba5a52aee7985452b121809991bba5c26b79649
31070,https://github.com/cran/c14bazAAR,swh:1:snp:f06e51a25097316ff76f89fd27b5d428cf928a47
31295,https://github.com/attractivechaos/klib/,swh:1:snp:1e842cd790219af8636c0b5100b40ce5b32ff98f
31297,https://bitbucket.org/slaplagne/rationalsos/src/master/,swh:1:snp:cc39bcdf5b134648d0f39515135b1440e2888b4c
31302,https://bitbucket.org/jakob_maljaars/leopart/src/master/,swh:1:snp:390b48912ed665f9084c66797f0e661fa7cf3d77
31336,https://gitlab.com/secml/secml,swh:1:snp:2bd6814c3cf8697f6bdae4def23e0e7b2750d1a8
31338,https://github.com/jacobbien/ggb/,swh:1:snp:2ba134f834a3a25b771fcfcdd279b0b05ed68e8c
31341,https://github.com/mbertolacci/climatedata/,swh:1:snp:4666ac28e926e32753b284bf238bad5068d9ed42
31368,https://github.com/NeuralNetworkVerification/Marabou,swh:1:snp:9e684e39fff47343cd518e4a188c4c47b5428128
31375,https://gitlab.com/materials-modeling/wulffpack,swh:1:snp:7004858f21c208b5439706d3f642feb720ed8b9f
31464,https://bitbucket.org/tomandklaus/chop/src/master/,swh:1:snp:5913d7fece95534b9f648e4b93ede995df761414
31477,https://bitbucket.org/huppertt/nirs-toolbox/src/default/,swh:1:snp:50e2c0a35debbdef082529957140ac6af58c2558
31498,https://github.com/Unidata/metpy,swh:1:snp:f47100a6f364c9ae199a44022b948dd6787fc018
31517,https://github.com/ananyevm/bayestable/,swh:1:snp:44d83405ff0718c0c322547fd1f25702a7da283b
31538,https://github.com/audiolabs/trackswitch.js/,swh:1:snp:a37804bf6f929e616a6d27390bbc057f3feb1589
31591,https://github.com/Spear520/dist/,swh:1:snp:0fb3f5f44dce7b58d34c3e42cb126a624bd6b8cd
31603,https://bitbucket.org/cityformlab/urban-network-analysis-toolbox/src/master/,swh:1:snp:b94ba6db4aa2fbca9c7001d4bad6101dfce50f2a
31626,https://github.com/tjhladish/EpiFire/,swh:1:snp:69b383f06e7d6d38ec1dec5d197ecbb83f7ecf25
31630,https://github.com/sloisel/numeric/,swh:1:snp:e973680c6e902c42eb0d29b90e88ab0ee053f8fe
31632,https://github.com/mrdoob/three.js/,swh:1:snp:01f8ebcdbd232d9d04cce907567c9f18319a2fd8
31766,https://github.com/anatolikalysch/VMAttack,swh:1:snp:222311584fb2a4bba7cf73c84f60cf602982d0ac
31826,https://bitbucket.org/trove4j/trove/src/master/,swh:1:snp:e8bd4ac063cabc92aa3e5b0946b86dc943cfb793
31851,https://github.com/Toblerity/Shapely,swh:1:snp:0d2ef9e6a4be95888175ec1d44f85192c8ba4cdc
31854,https://github.com/JGCRI/moirai/,swh:1:snp:efdff88cf12df3370e99ec4518a13ca4033c0b5d
31858,https://gitlab.gwdg.de/wolff16/Wileup,swh:1:snp:c4bceee203cb771cc63db214a419f2c0656d9d21
31963,https://gitlab.psi.ch/mcmule/handyG,swh:1:snp:48d9f71c275c0e6f6a853887f6fc0e5ea460a5b2
31971,https://github.com/JuliaPlots/Plots.jl/,swh:1:snp:1815324a03665b7a23f8eb768bf58e8ca8efb4f8
31983,https://github.com/TeledyneLeCroy/SignalIntegrity/,swh:1:snp:c4c1f84501dd7759a8743a94858d61a6bb8b4dcb
31988,https://gitlab.inria.fr/fschwarz/hintikkasworld,swh:1:snp:1dbd36021e15c35fde457126bc5d836bec4292c0
32052,https://gitlab.com/thoma.rey/FV_HipoDiff,swh:1:snp:53fb6c923e0cda697cfe39778a0a96851a2f5687
32055,https://github.com/scottsarra/Matlab-RBF-Toolbox/,swh:1:snp:d60bd57fd913d06270eb30f7c60d06642e267ab0
32251,https://github.com/sneeuwballen/zipperposition/,swh:1:snp:9eb1082acf5b5a80df2205de6ae633117b5f0dc1
32539,https://github.com/verivital/nnv/,swh:1:snp:6701da2903e3aacd704c19f0ac7737f9bab0fc16
32547,https://www.github.com/ebertolazzi/Clothoids,swh:1:snp:df4892888e265bfcd24e26edacf8e2ea0cee69ee
32548,https://github.com/PyFR/GiMMiK,swh:1:snp:6facf403b0f78096517cbee3a73f7587e2b8ebb3
32686,https://gitlab.inria.fr/azais/treex,swh:1:snp:b11731603fa0499403e790d6c99204461c7f0d89
32692,https://github.com/bluesky/bluesky,swh:1:snp:4d68f266c5e73c3ffdb0df7e52a96dfb59135f5b
45782,https://github.com/ElsevierSoftwareX/SOFTX_2020_15,swh:1:snp:c55b980e57609550203b6bebb00af618c570142b
45543,https://github.com/BjornNyberg/NetworkGT,swh:1:snp:822b868d654ed6e4e3d59c837a64245f14bd1d3d
46412,https://github.com/Crompulence/cpl-library,swh:1:snp:2d4721bb3df29136488a1af4534d14f6b5ac63ed
46118,https://github.com/Abhishek-B/PnCP,swh:1:snp:37a7b24096ae672fa7eaaa7bf4ac6fb7203d1140
46309,https://github.com/lee-group-cmu/RFCDE,swh:1:snp:d58873e72527237c12946d8349f0a854753da59e
45479,https://github.com/DavidHofmeyr/OPGD,swh:1:snp:8030ced43b16960b1a9581f5adb9f8ce6b54ad8a
46763,https://github.com/JuliaVlasov/GEMPIC.jl,swh:1:snp:f12293bd9148cfec078963c5f9c2df1ac2f1d282
46133,https://github.com/JuliaIO/Parquet.jl,swh:1:snp:04d98b947aba7062db1764de7073679528cf05cb
46443,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00163,swh:1:snp:e69a961132b0bf9986cb29003f5f1bf240ea9608
46693,https://github.com/iitis/DatagenCopulaBased.jl,swh:1:snp:8ac1559d8b6534a539059c9ac30d360f8f206485
45960,https://github.com/inducer/meshpy,swh:1:snp:87e40546e9bb115bee9eb4c52cf789818bc12aef
46812,https://github.com/maickrau/GraphAligner,swh:1:snp:b1bd2f439f1a66003df1baa337e5699d6daaacf8
45596,https://github.com/xjzhaang/LumpingPostiviser,swh:1:snp:b1976fd35f000a19898fad988b533a5e090137f0
46661,https://gitlab.com/msiac-tool/MSIAC,swh:1:snp:206a08cc458601e7eae30157947a5877f3a4c762
46208,https://github.com/fatimp/diff-boundary-corrfn,swh:1:snp:ff124742adda6f2f82bec55fe23b74fccdc34837
46813,https://github.com/dubingxue/MTGL-ADMET,swh:1:snp:5b67763b1c05d0919317dc271d271c9c25142b32
46496,https://github.com/amadoudiogobarry/erfe,swh:1:snp:6db772942b3973c8265bafe24b92959fddf7377e
45600,https://github.com/jungreuc/isotope_correction_toolbox/,swh:1:snp:7a13943208d5010e3dc3aaa76aa3c1136ec8c44d
45929,https://github.com/PyPO-dev/PyPO,swh:1:snp:73ec92ccb3057ef911ee6257c9f56656e33c2b45
46808,https://github.com/RunzheStat/CausalMARL,swh:1:snp:91d6173c895ec8014362f8df3da6903be61d0c93
46254,https://github.com/google-deepmind/optax,swh:1:snp:cab39b0141d85ec6360ed8eec4fa6b8772691730
45321,https://github.com/chr5tphr/zennit,swh:1:snp:bad703a3a57dc53d3b473e7b87f5d311f4d13606
46508,https://gitlab.com/robertchiodi/interfacereconstructionlibrary,swh:1:snp:686a658f8d6345913ff481d4eed344767a074e15
46910,https://github.com/ebprado/AMBARTI,swh:1:snp:10c77d08b8f0791790f826811fdd2970648550cb
45248,https://github.com/Optimization-AI/LibAUC,swh:1:snp:16526fc349f9993b6db6ed0a52606ee9bbf51e31
46408,https://github.com/afoninandrei/opt-ml,swh:1:snp:5c1922be6f977395a80b9a954ef09617fcfb6e93
46830,https://github.com/nerfstudio-project/gsplat,swh:1:snp:3aef071835896f63312fa7a956ab52cfedcca00a
46579,https://github.com/aseymourhowell/Maass-Form-Trace-Formula-Code,swh:1:snp:a9daae2ddc27f725b024feb94f74c3ac5409ad53
46896,https://github.com/bioinforlab/CircR2Disease-v2.0,swh:1:snp:62f0cca15c06e89b386976b64490c5010489fe97
46821,https://github.com/COPT-Public/cuPDLP-C,swh:1:snp:1977fb8410b79575dac461be1fe4391d8a782407
46152,https://github.com/huangli712/ACFlow,swh:1:snp:1df5c8e3d19b268d15ec67a57d13c525056e4520
28992,https://github.com/cran/magicaxis,swh:1:snp:e6293f7e2c6e9c135ce9b6f66891f9989f302e62
29046,https://github.com/rasbt/mlxtend/,swh:1:snp:ff369a21009835a8296ada2558806bceb5d62a4e
29494,https://github.com/IBT-FMI/COSplay/,swh:1:snp:44454f89ee906d0241e7738208ad8ee5c13d6ae1
29705,https://github.com/mmhej/Poissonsolver,swh:1:snp:58994df52c9dc443a732b06a417627dbb3c2a691
29752,https://github.com/containous/traefik/,swh:1:snp:693573fecdfdff78ce731c98cbb400a90f38335d
29755,https://github.com/VMML/vmmlib/,swh:1:snp:1fd7933467f94c8e33b0ba79fdca7032535abd33
29872,https://github.com/xfliu/constant_estimation/,swh:1:snp:06ef2da0d73bb24279968a5555844fa179709c5e
29873,https://gitlab.com/margot_project/core,swh:1:snp:942ad060f33eee73e888e0724aff87358b560e5a
29895,https://github.com/itsoulos/NNC/,swh:1:snp:68f1c08f17965f6513967d2a2ac08b85db6ef0ed
29907,https://github.com/kitchenknif/pytmm,swh:1:snp:446c91c44131e247defef9511076266d1337c71a
29996,https://github.com/mschauer/Kalman.jl,swh:1:snp:5866ce5161a5ea80cc9900e87383f8c5510ce62d
30063,https://github.com/ecrc/exageostatR,swh:1:snp:3c5fd12482c6a0c7935a36dc8dcc45994ebb3ac4
30071,https://github.com/laurikari/tre/,swh:1:snp:4c9cbb39e3760c26f1c898514c7042b8ab983f87
30123,https://github.com/fsestini/zsyntax/,swh:1:snp:d5d8ac9d968053ed8aa7af64ecc21a075777e560
30131,https://github.com/tknopp/NFFT.jl,swh:1:snp:0e2bd8d356809cd2d5f2502915affb1f2062bd6b
30132,https://github.com/JuliaApproximation/FastTransforms.jl,swh:1:snp:75f4120e454ccea00b5743363d68eea524dd9f2c
30138,https://github.com/featuretools/featuretools/,swh:1:snp:380ea94fff54714b6deb9373e4eba6e7eab37022
30303,https://github.com/feduni/caliko,swh:1:snp:4d6b34bf36f6235de06182c6fb8a1205e0a33207
30368,https://github.com/MasWag/monaa,swh:1:snp:9b4a2fb6e52b17c65e6744295d4b0451bac0e8e0
30420,https://github.com/bungun/conrad/,swh:1:snp:08510ed0195edf7d6d3b2144c3e908dc00a26838
30519,https://github.com/z3prover/z3,swh:1:snp:5bf2138358b1c86c2d7904aff6ea525a7c5e7cc5
30601,https://github.com/Teoroo-CMC/PiNN/,swh:1:snp:ce991d12f5858fafda1846f98e6b1cf578999992
30639,https://bitbucket.org/mbachett/maltpynt/src/master/,swh:1:snp:5aad714b347e4a19c1c415332ed46cee199b0291
30652,https://github.com/stingraySoftware/hendrics,swh:1:snp:b012ce5f4c3035e7af318e08b14aa04c4e9a3b92
30653,https://github.com/stingraySoftware/dave,swh:1:snp:06a30a7a3dedce56bf54d1163c3bd80909f473f4
30684,https://github.com/TerrainBento/umami/,swh:1:snp:0588130fd0d781ee7027106b8fccfcb4721704a0
30695,https://github.com/ark0015/gwent,swh:1:snp:e55da11b58c965a69c6983fcf62a0544f06cee3a
30704,https://gitlab.kitware.com/icet/icet,swh:1:snp:855023fdc3785b3e85097b4ada6036fbdb471166
30726,https://gitlab.com/icm-institute/aramislab/deformetrica,swh:1:snp:95eb3f83e717d6e713bedf1e869c6988b7edcee8
30738,https://github.com/tusimple/simpledet,swh:1:snp:7129b88c742cfd9619bd6c682dd7032b11121901
30764,https://github.com/cran/fheatmap,swh:1:snp:75ffa23887ef18a7b869f928872c5982edd9113f
30799,https://github.com/paulvangentcom/heartrate_analysis_python/,swh:1:snp:5f700231888a14557db89a8881f914187d28851e
30897,https://github.com/matt002/gaitpy,swh:1:snp:019c508ffb61c56c8318be6e987c290aefdb75f8
32765,https://github.com/mjlaine/mcmcstat/,swh:1:snp:d91631a580497fff421f83ef3e706159a0d67602
32771,https://github.com/python-windrose/windrose/,swh:1:snp:7ad4af654b49f01ba33f8895c79e8bc4d9ea81f3
32796,https://gitlab.com/uni10/uni10/,swh:1:snp:df87f2296d27eda8ae460f42449cd70d4926b89f
32839,https://bitbucket.org/basicsums/basicsums/src/master/,swh:1:snp:548fb7d16d0a5774576f9d0e9a0f7ec1aadecf8e
33020,https://github.com/ohjeah/sparsereg,swh:1:snp:2d324dfb24b66238a45c46f3e8749bdfb80500bc
33037,https://github.com/ibm/aif360,swh:1:snp:96acfbb52e53d1457aacb0adeba2c1b0862b4216
33064,https://bitbucket.org/mituq/muq2/src/master/,swh:1:snp:a2b42d9d9f33112af43d1fe0a5149dde0dd3c803
33130,https://github.com/jttoivon/seedham/,swh:1:snp:d4d370759a8fc279dbe3a919e0b9e178bed1f0ce
33146,https://github.com/VDrift/vdrift/,swh:1:snp:46dfce81b94ec22549b32694b578d7af66e81a35
33172,https://github.com/jbpt/codebase/,swh:1:snp:f5fe65730054c5c978c562113c4d0f1246eb0dc6
33180,https://github.com/bjornwallner/DockQ/,swh:1:snp:592d6e7311498f9f33992e17a47bd38d12948735
33224,https://bitbucket.org/blaze-lib/blaze/src/master/,swh:1:snp:647a68d83bf9b32566cc8cb0677f194556e75bcd
33370,https://github.com/hema-ted/pycdft/,swh:1:snp:cd56fdc8b632cdb810b6eafee890261ceab4fb40
33383,https://github.com/mrtnrb/Spectram/,swh:1:snp:d1351c8063c4a0bd30be0d42e469bdcb784d3721
33384,https://github.com/Project-Platypus/Rhodium/,swh:1:snp:3aea791b2b363ab3e42dfd2212cf3b025d222b73
33385,http://github.com/dhadka/OpenMORDM,swh:1:snp:0e8ad1eef8f7763881897c3c7874c47eb525b41d
33398,http://github.com/automl/RoBO,swh:1:snp:ef18039c9ce6cec4a2fc26164da028537fc6ec70
33429,https://bitbucket.org/macchia/slackideals/src/master/SlackIdeals.m2,swh:1:snp:8d52535ee7c49f3df87df386f21e251cdb1a89b4
33446,https://github.com/molsturm/molsturm/,swh:1:snp:61606dac224caf5188fb7007e190efde27dd96db
33490,https://github.com/soravux/scoop/,swh:1:snp:863c2e4d14db3651f81efa16c8bd7fd62383b88b
33499,https://bitbucket.org/pisto/nlchains/src/master/README.md,swh:1:snp:efcf4b23706032f794f766de2a8df1affe996d2f
33600,https://github.com/s-opitz/eisenstein_series/,swh:1:snp:dd30b1a5492730faeebb2f2559dce5858c22c0cb
33639,https://github.com/coneoproject/SLOPE/,swh:1:snp:1125e08a25afdd687b029aecb4cb9e5bb4c7e4a7
33646,https://gitlab.com/gpagano/lensinggw,swh:1:snp:cff33e2dc34419127e59bc8b14b85850eab20c07
33661,https://github.com/JuliaMath/DecFP.jl,swh:1:snp:7fd377e8e379ef69ae60834d247cba56adaee1fe
33673,https://github.com/latex2html/latex2html/,swh:1:snp:1b939a39603ec3bbb930760e857c9bd96f7a616f
33684,https://github.com/MIR-MU/WebMIaS,swh:1:snp:8c9ff2a6e0aa361d0f54c6bfbda7d92daa48d9dd
33751,https://gitlab.com/compphys-public/tinie,swh:1:snp:356a07aaf0dd356d48a63748e292692d0ffbafce
33752,https://bitbucket.org/luukko/itp2d/src/master/,swh:1:snp:765397d51dcbff247d3f9ff1b64c07f65d76c376
33780,https://github.com/cosmo-epfl/chemiscope,swh:1:snp:13da0d411396d8383e216883dd584011b649c2ce
33789,https://github.com/mguetlein/ches-mapper,swh:1:snp:b575146a711291d6cb4e77da4372b291adf51d67
33792,https://github.com/khinsen/hydrolib,swh:1:snp:6da44ddf26895a8bea45d650c0d58472d52a27c4
33820,https://github.com/tlverse/tmle3mopttx/,swh:1:snp:20fcbc164112e5b270fadfb7d2eaba779b7b68d1
33837,https://github.com/glm-tools/pyglmnet/,swh:1:snp:5765bb4ed5885bef57b69253382341292afa5af3
33839,https://github.com/JuliaText/WordTokenizers.jl/,swh:1:snp:76a97da5d830fd5e1a6f7d1e48771c4598846b8c
33886,https://github.com/astronomyk/SimCADO/,swh:1:snp:c02f64db64f064e57855b7ae80c8d7cef9a2fffa
33896,https://github.com/paoloparonuzzi/k-Vertex-Cut-Problem/,swh:1:snp:721d10d3227e656185e6e71bdc528e984a99c717
33898,https://github.com/AnirudhSubramanyam/KAdaptabilitySolver/,swh:1:snp:aa81969e24a438dfe306b3f89de33105f8d04159
33930,https://bitbucket.org/dnuyens/qmc-generators/src/master/,swh:1:snp:7eae65cfc5ae41613c56f5fac96e4595f9616f99
33965,https://github.com/machamp-nlp/machamp,swh:1:snp:cfce3e08d42be93065172d10f76e6fab7b1c62ae
34010,https://github.com/CenterForTheBuiltEnvironment/pythermalcomfort/,swh:1:snp:8847be67392584e0b66ea212557b228256a962f6
34061,https://github.com/xiaoh/DAFI,swh:1:snp:a6b61bc024c44877b858664396ac5ca562d97e96
34068,https://github.com/opm/lbpm,swh:1:snp:a8562e48349e8dcd79d495c59c189f0228532a29
34069,https://gitlab.cern.ch/InterfacingHammer/roohammermodel/,swh:1:snp:20b0b401dcd441fa35f2d5cbed76b5c6c8991d28
34075,https://github.com/MrMinimal64/multivar_horner/,swh:1:snp:be97d6a7593ec7e3a1b4b55412c2a185335f7a96
34080,https://bitbucket.org/tgrassi/krome/src/master/,swh:1:snp:c23b64a5e333e02d687bbfff96bcc5f8e696323d
34096,https://github.com/TalwalkarLab/leaf/,swh:1:snp:f0f9353d97ca41b1bbdadda2699bd983a5cfa269
34103,https://c4science.ch/source/tamaas/,swh:1:snp:681cdcbd89f435911c82a2c24db90d071b2cb90c
34108,https://bitbucket.org/angusyeh/tim/src/develop/,swh:1:snp:ba50ca519734b7274945e74b9224bcd2566ed457
34133,https://bitbucket.org/yuvalel/repgenhmm/src/master/,swh:1:snp:ae678e6bd427a38019ca3043d6f65a2810d78a5b
34142,https://github.com/cyang235/LncADeep/,swh:1:snp:b37655d9da582a1a95cee95494b928891b82d0e9
34143,https://bitbucket.org/medgenua/pbrit/src/master/,swh:1:snp:4372d756f50891b8b725b6e64fc039bd024ef27d
34146,https://github.com/QUST-AIBBDRC/SGL-SVM/,swh:1:snp:53fb551b117b7e3ba0d2a5ec2442771f662a876d
34149,https://github.com/funimagej/fun.imagej,swh:1:snp:4c44b4f491bdd063103a85903532994f3dddbd2a
34194,https://github.com/moleculardistancemaps/MoDMaps3D/,swh:1:snp:b80082305854daeb16074a454f1c55733fd13301
34243,https://bitbucket.org/berkeleylab/pexsi/src/master/,swh:1:snp:28e9ccc15840adbac014c8abec230286a34a079a
34309,https://github.com/mahmoudibrahim/jamm,swh:1:snp:67499ffde0d3f64d1e2ed6d267239785c24cb144
34325,https://bitbucket.org/OES_muni/massiveoes/src/master/,swh:1:snp:ba1742dba60ad5964bafad965981accdd33fb87d
34383,https://github.com/benmarwick/rrtools,swh:1:snp:3c530406d36803e3d9bbf1b247742e37b6468dcf
34391,https://github.com/victordibia/neuralqa,swh:1:snp:bcad908870c15e54a8d050e65ee74ea09a1f0d8f
34395,https://github.com/cbpark/YAM2,swh:1:snp:9132810d7592548a054b05153400dcd22b4435ab
34415,https://github.com/ryantibs/best-subset/,swh:1:snp:37eae4366bdb25ee3b8ce7d96abe03bf9cd15cc1
34424,https://github.com/hoitowai/ciag/,swh:1:snp:baec96a10b64d05fe715edef0c823e9cb7e84a7b
34434,https://github.com/qntm/greenery,swh:1:snp:7e34d4a2516a14ec9b33c4f8ae1b19dce363bc7b
34454,https://gitlab.com/tmuetze81/cos,swh:1:snp:c1c44bdc4c7b0d993003e83c34bd78481031965f
34455,https://github.com/ahmad-abdi/cuboids-code/,swh:1:snp:1574a6a00373485ec62cb99e38269cdd7411aeb4
34473,https://github.com/hyoseonyang/molt-tutorial,swh:1:snp:b8b781179cb6985d89182326650bd7aa8605958b
45224,https://github.com/WenjieDu/PyPOTS,swh:1:snp:13cb1f76adb5faaea8fe760f29903ee0e21bb650
46595,https://github.com/skdeshpande91/VCBART,swh:1:snp:4e6e1cd1728f60877a94332c863748a4c2ffc1e7
45883,https://gitlab.com/csb.ethz/pta,swh:1:snp:56a7e128323331857cd78b920e13b2d90699a74c
46663,https://github.com/slimgroup/InvertibleNetworks.jl,swh:1:snp:13ccbcf395de40c564e39af1653dbd0f56d9ec53
45331,https://github.com/joblib/loky,swh:1:snp:9c9ecbf31e6081382ab46e723f1322554499e641
46113,https://github.com/JuliaData/DataFramesMeta.jl,swh:1:snp:a1e4842fd0ae47fc1b4ac8ced06a336c1b619838
46659,https://github.com/algbio/matchtigs,swh:1:snp:46f588e4183dcb84ee390b29f542f302dc392b77
46126,https://github.com/drhaley/stable_tbn,swh:1:snp:f190da21bc12d714516d94a5d34661b6a30437ce
46132,https://github.com/apache/arrow-julia,swh:1:snp:355b879853b9d92166fa6d0093df7315785dada7
46001,https://github.com/JuliaInv/ForwardHelmholtz.jl,swh:1:snp:d7d1790606bcd638dff18f7fe29858e4ae05fb51
45778,https://github.com/lmj1029123/SingleNN,swh:1:snp:24dfe40c8d920e2a777742c885907c27484976f4
45769,https://github.com/christophmeyer/CANONICA,swh:1:snp:1601c9fe6eaa6da47b259a11e07ced060a869528
45323,https://github.com/cran/callr,swh:1:snp:5ab6f648de9743b19b9f75da38439f3bc3d06cdf
46439,https://github.com/ornladios/ADIOS2,swh:1:snp:a442c7f1cac84ce41928531322aebf17974b6cea
45277,https://github.com/LHEEA/HOS-NWT,swh:1:snp:fbfde842a5f1a54facd3af2f44c18e194c3a7958
45649,https://github.com/snorkel-team/snorkel,swh:1:snp:3a7b107dae224f65ea817cac6ae299665fb49f4e
45272,https://github.com/lmweber/diffcyt,swh:1:snp:6a94f580a93465e67f2f07ade47e4ba33749e7a6
46501,https://github.com/JuliaEarth/GeoStats.jl,swh:1:snp:7ba6ca1159d6f7836f947e309e4f053127b52197
45299,https://github.com/ErlerPhilipp/points2surf,swh:1:snp:6248dce4ea94c52348df4a841d3b59ca8c32c455
45957,https://github.com/cucpbioinfo/RUN-ONCO,swh:1:snp:74221479f5b1e4946492281fc05f202d100ba49a
46218,https://github.com/coinse/pyggi,swh:1:snp:d651381f1c4ebb2be2e47760b40f79cfb2623752
46654,https://github.com/biointec/browniealigner,swh:1:snp:b6387e695602124651fbdc28f39e5b20a00b259f
45696,https://github.com/openml-labs/gama,swh:1:snp:5d0c1cc12b957d1d6d7034f655613c6a8e17e793
45482,https://github.com/fjosw/pyerrors,swh:1:snp:09671921f9a2f524214849438972eb4b2a0005aa
45767,https://github.com/JuliaSmoothOptimizers/BenchmarkProfiles.jl,swh:1:snp:3b053972ef997087ecab1b0d6ef8cb7f171b7f30
46328,https://github.com/schalkdaniel/compboost,swh:1:snp:528975a8cd552c5a4f85ee141a52a707c922f4be
46268,https://github.com/alshareef-hanaa/Refining_PA-DFD,swh:1:snp:66fa0b9e023b2937ed81aee4fea57db69395d0f4
45695,https://github.com/Zhen-Dong/HAWQ,swh:1:snp:18cf795e84adb42ae94199cf2b67e541a3c52191
45345,https://github.com/allenai/longformer,swh:1:snp:7c0b9659309df51e4449b69a64813a897e01bf39
46578,https://github.com/shaharkov/LargeScaleBD,swh:1:snp:1275773b529808ba2fa8b8fcee79951f35db43bb
46559,https://github.com/ongetekend/ciminion,swh:1:snp:6fb4a519d422a0abba1e424cf573ddef49d35f5b
45952,https://github.com/pinjutien/GANMEX,swh:1:snp:e9c4ab58e1e0eb487b52d89e1885c8f0364e93f5
45720,https://github.com/bquistorff/synth_runner,swh:1:snp:76ba6d97dce67b85fe7cff273febb4ffbcfb8e48
45654,https://github.com/bsauk/HybridTuner,swh:1:snp:b9fdf6b411315eca51c40b450886aaf77da86e22
45889,https://github.com/hsxie/boray,swh:1:snp:7dfd9d56e2664913a4c925a0060386b579bdf9db
45436,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00017,swh:1:snp:2e465e6a90e92a1d88579e3b41433256db7d1bff
45335,https://github.com/CSMMLab/FRSG,swh:1:snp:e04687be5930d4a5f704da22839f9b03f0510c23
45337,https://github.com/microsoft/DeBERTa,swh:1:snp:f1e61bfd39ab3bc683a93508a8fdeaee76b613a1
45372,https://github.com/mfem/PyMFEM,swh:1:snp:3a0201e93e32266629e70940588ea6fbc6dc8c53
45797,https://github.com/pascalpoizat/verchor-web,swh:1:snp:ecc18e85c030fa79e06a35b899bc98b8f03b0d61
46362,https://github.com/cgalab/monos,swh:1:snp:2f684ff0142bcd3be22229509d3d8ad279465ac3
45236,https://github.com/vbookshelf/Skin-Lesion-Analyzer,swh:1:snp:7fcf6e88812ffd31a25ddcb2bf161671de6a14dc
46656,https://github.com/maxrossi91/moni,swh:1:snp:6d6c73112d63495eccb98660793abcf9e0e5bbe4
46691,https://github.com/lrnv/ThorinDistributions.jl,swh:1:snp:b66a26f7c55d36cb44617ce2ca341af141d23d3f
46174,https://github.com/scipr-lab/dizk,swh:1:snp:70d0e58521549e23ca015ba652773a619cd012cf
45349,https://github.com/microsoft/DeepSpeed,swh:1:snp:ccfa42141f9b1a465c77874c819006a6411f8ed3
45570,https://github.com/asFeng/kergnns,swh:1:snp:103ee5b1fdddace18940f8e2e1fa720d66c46a15
46325,https://github.com/validsdp/validsdp,swh:1:snp:a31c07cbba37e7656eb09c940ca6f20c899371de
45591,https://github.com/scikit-hep/pyBumpHunter,swh:1:snp:b6f4f3567ad975ca95df00d59ea881ee77e8676e
45858,https://github.com/opencobra/optlang,swh:1:snp:7fc0808f05dcfa985724be3dd461494a64f48001
45633,https://github.com/f-fathurrahman/PWDFT.jl,swh:1:snp:7eddad1490cb81d570115201b8b512cbfcffd84e
45597,https://github.com/YakhiniGroup/SOLQC,swh:1:snp:2c2a44861f6bba83ef960a4b4c31b7f7948bb533
46054,https://github.com/christopherhojny/relaxation_complexity,swh:1:snp:ac62922dd0ccfaeab4343d82860330d47039c1b9
46733,https://github.com/jleinonen/pymiecoated,swh:1:snp:2e1fb6a0094fec81bd14f8a8a407c91c68a14f1a
46048,https://github.com/joule-lang/joule,swh:1:snp:4399df60957a79f11b215526d6fb9a63b2624749
45439,https://github.com/tensorflow/quantum,swh:1:snp:5816b8544afeeae47c060a16f577c80222b83749
38624,https://github.com/voxelmorph/voxelmorph,swh:1:snp:97a45e771501af876750265847da4b34947f1e74
38632,https://github.com/sdnchen/psomatlab,swh:1:snp:ef05f1e56e6c902b91f8bbd895e41270e7952c00
38635,https://github.com/disordered-photonics/celes,swh:1:snp:885df022e5200197b766d4f578b723eed722dfd7
38644,https://github.com/cran/CATkit,swh:1:snp:f8a9fb8d695d21e45a9735da540633c03c9d6c19
38646,https://github.com/mmoskon/CosinorPy,swh:1:snp:ab5677008bba73ac6b09a1506cab9218eb49e5f1
38647,https://github.com/matthewcarlucci/DiscoRhythm,swh:1:snp:5055e5c5085a673da371d57acbb18cfca990bb14
38648,https://github.com/cran/circacompare,swh:1:snp:6d80add20db30767a5a383d94199b84941c34abb
38649,https://github.com/hugheylab/limorhyde,swh:1:snp:04c8c2e14451a36e724746d6bd73fe84028d0d21
38651,https://gitlab.kwant-project.org/qt/qsymm,swh:1:snp:0e6e00aabcf2099f2bcee180409249e5dc7a8f2f
38653,https://github.com/cran/TSMCP,swh:1:snp:845bbfbcf2af453556955067f51dfba838491d63
38654,https://github.com/josefkaufmann/ana_cont,swh:1:snp:d709a236070168544d66d4e15a1f381360af7691
38656,https://github.com/w2dynamics/w2dynamics,swh:1:snp:2183b6896190e0c1b1759437d709d3a0d5c28185
38657,https://github.com/automl/DACBench,swh:1:snp:ec6579f6ea3ad631fbde61f61d12e3e7543914ff
38658,https://github.com/automl/HPOlib,swh:1:snp:62e089c7c0f6407258e751f8c1b894163d80d474
38659,https://github.com/automl/GenericWrapper4AC,swh:1:snp:6e647db0a32e25a05b21d01c91ea0f9a7a39ff3c
38660,https://github.com/mlindauer/AutoFolio,swh:1:snp:69130c669e5165f3950c7c354a610dba975fcb5d
38661,https://github.com/cran/nnlib2Rcpp,swh:1:snp:2f74781722bad06e24aad52036fcd68c8753fa9e
38665,https://github.com/lukapecnik/NiaAML,swh:1:snp:1953faf1166e694108c5ec56266b99f44f838acf
38670,https://github.com/konstantinstadler/pymrio,swh:1:snp:27e58d42e222bdae760f50001a104fdb29d1d7d7
38672,https://github.com/konstantinstadler/country_converter,swh:1:snp:5dcb08ee6cfab08311af32112880dfcbf5ab63ed
38677,https://github.com/jmvlangen/three_fourth_powers_code,swh:1:snp:ea7005d36d48893f06686a0f9401ae1271a6ac0b
38678,https://github.com/nsirolli/eta-quotients,swh:1:snp:ab9435a138a4c41b05c7ccf64339e60cebce3605
38679,https://github.com/jaulbric/Tesselation,swh:1:snp:ed15499a437255521aa0fdb595cdf9245ef383e8
38680,https://github.com/ederc/gb,swh:1:snp:bf014d636de3b79211c5dc1309e12138a95f9d7a
38681,https://github.com/ederc/singular-benchmarks,swh:1:snp:5507cd44fec10762a65200b241d68aa1c98f2031
38683,https://github.com/madras-simulator/MADRaS,swh:1:snp:9fe1f1ee094dc9896ad15e3ba06a284e24f9c0cf
38684,https://github.com/Iftimie/ChauffeurNet,swh:1:snp:62de4962585df024083e4a9d692cd8272301705d
38685,https://github.com/deepdrive/deepdrive,swh:1:snp:b263d190f9b11e7b488d5a7d6e44b63b0b139921
38686,https://github.com/cgnorthcutt/cleanlab,swh:1:snp:b74870313d18246875acb7aae3f9eb92a89092ab
38687,https://github.com/Netflix/conductor,swh:1:snp:7184553a08704fa654e727ffd67392544dd7416f
38690,https://github.com/cghoffmann/mjoindices,swh:1:snp:31075efbbe167dc20370926544defe60ab7a12e8
38691,https://github.com/LAEQ/vifeco,swh:1:snp:72234df9791adba9d0281171f72b0004cd88900e
38692,https://github.com/codehaus/griffon,swh:1:snp:0561d286a6b80245b32879d925a5d53f017e17d5
38693,https://github.com/andrewssobral/simple_vehicle_counting,swh:1:snp:b8a4b1384076d85755c0acf342c12978db766e24
38694,https://github.com/andrewssobral/vehicle_detection_haarcascades,swh:1:snp:9fa12d593b595239aa046d0993be05f52e775b93
38702,https://github.com/yaml2sbml-dev/yaml2sbml,swh:1:snp:9e2982ac620ee74c4ad2b10679ba9a0a08d4a537
38704,https://github.com/AMICI-dev/AMICI,swh:1:snp:ccfd04434d548540d22f2e1aac8506247d71ff29
38705,https://github.com/FloZenReef/FastGAPP,swh:1:snp:7e7b82ea1f69adcdede8296c9ac75fcc65dafb07
38712,https://github.com/GeoPyTool/GeoPyTool,swh:1:snp:ce02fc1b82035f56d914d6240e32d1968e804287
38713,https://gitlab.com/epiasini/embo,swh:1:snp:2ca0dd3f2db0ca46c04f998773a2ac5912b7fd98
38715,https://github.com/soarsmu/CrossASRplus,swh:1:snp:b65844dae759bf4aef196e7c98717a1b31340450
38719,https://github.com/pndurette/gTTS,swh:1:snp:5c680059d36eb74786f859151cbd19014cb4a878
38720,https://github.com/FREVA-CLINT/Freva,swh:1:snp:9cfe4c59a2d05542908d853a4a669f760696e939
38723,https://github.com/PCMDI/pcmdi_metrics,swh:1:snp:09499ace27c47427dab757235f106d3a0947c14a
38724,https://github.com/cran/stratallo,swh:1:snp:e96484caa37288df259933aa494f977c3d6b3905
38729,https://github.com/aserg-ufmg/RefDiff,swh:1:snp:6016bed1043e444c411f7ce79fe4cc7334052b60
38738,https://github.com/cog-imperial/galini,swh:1:snp:673f2cef3f34349f2932213e145312d61fb2e85e
38739,https://github.com/Music-and-Culture-Technology-Lab/omnizart,swh:1:snp:c2a27ffa16908fcd99500938c9357dafb039767d
38742,https://github.com/omoultosEthTuDelft/OCTP,swh:1:snp:4eac09fa5121435b92c91503a5bbb17aa7640fd8
38745,https://github.com/aquasecurity/tracee,swh:1:snp:6bd3c3912caa88f43f32ea143eb721ee0e8316ac
38746,https://github.com/gboeing/osmnx,swh:1:snp:73d8119412fc1b63bb04c24611000d08999ac751
38750,https://github.com/poloclub/argo-graph-lite,swh:1:snp:8dce396df0eaa5aa06f71e441a9de8b9c500c376
38751,https://github.com/HelikarLab/ccNetViz,swh:1:snp:27c581b8696376e3b8d5afa2465f9aae9f146c3d
38752,https://github.com/Project-ARTist/ARTist,swh:1:snp:3273d8c513ceb9ba231dff31b19dc2e1695d1c21
38753,https://github.com/suchard-group/hawkes,swh:1:snp:17024fb19e214487d9f68b7eb71484ef319fdd28
38754,https://github.com/RcppCore/RcppNT2,swh:1:snp:f156b58c08863243f259d1e609c9a7a8cf669990
38758,https://github.com/suchard-group/MassiveMDS,swh:1:snp:1a1fa3e97c760b2c098c69a5d53794323ef80317
38759,https://github.com/caballerown/BRMaximin,swh:1:snp:4fa2685a0fe916ae3fed3ce1e5ef9f90b5c08dee
38760,https://github.com/merschformann/RAWSim-O,swh:1:snp:4ce0af427b2bfe0133f12fd3b6350241e41ebfb7
38762,https://github.com/frida/frida,swh:1:snp:b0954f0d41fb89521d93d325d420df02f698e2c1
38764,https://github.com/vaioco/ARTDroid,swh:1:snp:16c1743cb8958d12782599c7b984f2b0eac21950
38771,https://github.com/cran/rnaturalearth,swh:1:snp:ba0f465bd44c2b4d837df91611d6acf543a3d48c
38773,https://github.com/0xCoto/Virgo,swh:1:snp:9d0b8eda907351c386e5229821503fcf45993977
38774,https://github.com/gnuradio/gnuradio,swh:1:snp:1fcae68ee833b3779356efb5070d558787b128e4
38775,https://github.com/AlexanderFabisch/gmr,swh:1:snp:efc7863fdfa9e0bf2029204f8aec01845de9d3b3
38776,https://github.com/tobiasschoch/wbacon,swh:1:snp:2c59c9a88ee9c868d68b17110d280d774e72d906
38778,https://github.com/pysal/spaghetti,swh:1:snp:b3558282c001e02d6ab7704ba778e7b317e37044
38931,https://github.com/LLNL/zfp,swh:1:snp:b8b7744a076c3343d8d1d42fded58101c5990abf
38932,https://github.com/GitiHubi/deepAD,swh:1:snp:0163d8395398aeb0d029d0d1948ee3fc9ddb0347
39234,https://github.com/DedalusProject/eigentools,swh:1:snp:59308d9d389aa40dfe59e8a46fd8d27a311d1381
39235,https://github.com/RalphAS/Pseudospectra.jl,swh:1:snp:2beffc46a3804c16ed6078ffb92c5633e656df93
39242,https://github.com/yoshiroy/varucaShiny,swh:1:snp:37b2e577ca9fe19a0dd22e006354bcd6b0197298
39246,https://github.com/waveletApplications/carmenMHD,swh:1:snp:8295e76cddc41c506d0bc8fa6d676a829a10cf71
39249,https://github.com/pkumod/gStore,swh:1:snp:e434e5b55ff791acc747743b61307eccce1c1ca0
39252,https://github.com/ashwin/fasthog,swh:1:snp:f9b7dd8f89aeaa928c8ec0cf4685bb37bf4c646a
39253,https://github.com/minus31/BlazeFace,swh:1:snp:dd70b5c58af20e4dc6bfc8a21daff15d4241d951
39255,https://github.com/Fang-Haoshu/RMPE,swh:1:snp:8a946aa7cd9817c95831a0020942cbfb4d6bd796
39256,https://github.com/CMU-Perceptual-Computing-Lab/openpose,swh:1:snp:c2d06d7bb65f75578193d64c639f4d37c40cfce7
39257,https://github.com/google/mediapipe,swh:1:snp:e413f14c6c3df7fb3f67625a6c2df24f01dc9ee6
39258,https://github.com/mkocabas/pose-residual-network,swh:1:snp:f88a6dc12b74b3e822da159a198c8e29915355ce
39259,https://github.com/facebookresearch/DensePose,swh:1:snp:7e91941885fd56dba46553a58653d989c30c730d
39260,https://github.com/HRNet/HigherHRNet-Human-Pose-Estimation,swh:1:snp:a18ab95d25f98a1ab2f903f8a4c8f3950bbc6c11
39261,https://github.com/Guanghan/lighttrack,swh:1:snp:ff71255dac412faeb44660415555b6138fcfe30b
39262,https://github.com/dineshreddy91/Occlusion_Net,swh:1:snp:8dc170c372393e1f32d5709554f26734aca4c646
39263,https://github.com/DeepLabCut/DeepLabCut,swh:1:snp:14ed4879353172519192fc546548d6e661671f00
39264,https://github.com/dineshreddy91/carfusion_to_coco,swh:1:snp:4a62731eb2bfc6447d5557bdbb4fc5c925864f1e
39265,https://github.com/lkeab/gsnet,swh:1:snp:aea92ad0878e3a32b2b4d975fd8d04c3ffef5f90
39273,https://github.com/atofigh/edmonds-alg,swh:1:snp:c45737835e267e8da45a015f71482da58a3c25fe
39279,https://github.com/inducer/meshmode,swh:1:snp:884390cfb3311575301ab143beef17116f55edb5
39281,https://github.com/bodono/apg,swh:1:snp:4e08f2b64eb1c49dcbcab48cbf6ace906ad78435
39282,https://github.com/alialaradi/DeepGalerkinMethod,swh:1:snp:572ecba06a81f5c57344bf569fccdbfdc4f0755b
39287,https://github.com/soichiro-hattori/unpopular,swh:1:snp:0740468c68bb9477365ff93901dc70858b40122f
39288,https://github.com/spacetelescope/astrocut,swh:1:snp:0b598a0e3aaa13655da6435c295c3baf2e6b8422
39289,https://github.com/mueller-lab/PyFRAP,swh:1:snp:a74c33c24f0428adce32772f122b7ffd4b79ebb4
39290,https://github.com/heshida01/MRMD2.0,swh:1:snp:7d9466ffb544c37b9b63517fee9f8941618c3c7f
39299,https://github.com/WGS-TB/FK,swh:1:snp:d4ed14eea9bb29dbb43dbe56579e9965e38b6a56
39301,https://github.com/jramshur/HRVAS,swh:1:snp:8464ed280e2c9c799c718d793c010f544c135c13
39302,https://github.com/pmd/pmd,swh:1:snp:ae24335f2e9a9fbb0f9508e8d39453df051b8cef
39311,https://github.com/abstern/pointforge,swh:1:snp:22557d6bc00e1d0906d462fcd48a537ec0c14d78
39315,https://github.com/gfairchild/pyxDamerauLevenshtein,swh:1:snp:59e527abec72e24ab8462c05e34a17981b8c4079
20469,https://github.com/yuekai/PNopt,swh:1:snp:80b69e71f1d485669a3819df6d900664b0ab545e
20471,https://github.com/cran/LSS,swh:1:snp:08cfd5949132525105f82e66faaf457410204c12
20491,https://github.com/maojrs/Interface_Euler_AMR/,swh:1:snp:1d803ba363bb5c1189eddd17aa8ec9078d4cab47
20817,https://github.com/seigal/NERD/,swh:1:snp:b85c82cbca12e5083b8ffcc1b5376fc14987d084
20873,https://github.com/quanshengwu/wannier_tools/,swh:1:snp:f7453b4417583563ea560ab442bedb85bf9c226b
20937,https://github.com/lts4/deepfool,swh:1:snp:cbb52a762826eab1790445f556bf9d959d68f58e
21029,https://github.com/agacek/jkind/,swh:1:snp:69101947408e73126179ba735b70a2b2186fbdd0
21049,https://github.com/almms/FreSpeD,swh:1:snp:db18f6e98f1aa2a2c29c6fc614ceb3102ae6333c
21317,https://github.com/cran/gergm,swh:1:snp:c4c764e5f6144a5ce6bb5e9b9c280c0bae9d030f
21436,https://github.com/cran/Forensim,swh:1:snp:f793b3539cd8d150d5d0e4869c17e9e7b6c255e4
21649,https://github.com/apetros/tdnetgen/,swh:1:snp:6d01e35d1280eaf6a5de55d29c89ff9b5e3f6fcf
21965,https://github.com/deepgraph/deepgraph/,swh:1:snp:61f58f3b0efb141a2f3ec0c512205d47953c630c
22235,https://github.com/fshapes/fshapesTk/,swh:1:snp:d08150ccecb2ca575ee9bf96d3621da034b3e387
22599,https://github.com/DanielBonnery/BonneryBreidtCoquetMetronKDE/,swh:1:snp:1bef36eb3fdc45c5b357aea9cda9dba9c703634d
22602,https://github.com/hulpke/matgrp/,swh:1:snp:45c8e69685dbc8537f4a8c0c559abf1ed4638771
22696,https://github.com/koffie/mdmagma/,swh:1:snp:51e5eb9d6d601746e6a405ff67844fc62eaaa15d
22755,https://github.com/cran/Compeir,swh:1:snp:2ff7cb77144c5cd3c6b781970b3fae900dd9a400
22930,https://github.com/liveontologies/elk-reasoner/,swh:1:snp:c62dd129e468cb92be000ef5eb5fc77b748d31dd
22968,https://github.com/cran/Exptest,swh:1:snp:57ecefc65ce51cea6879113560266c3a293bbdcf
23212,https://github.com/fraimondi/mccogwed/,swh:1:snp:70b931702144476204033f42d9bae4fff9320419
23225,https://github.com/encryptedsystems/Clusion,swh:1:snp:12503000de5759b43a3b39544dd26f264a8cfa0c
23595,https://github.com/SAP/chevrotain/,swh:1:snp:581ad6ccb0cdcfff9614517cf23bf25e05d29bf4
23792,https://github.com/AMReX-codes/amrex,swh:1:snp:e5a963a3e118bb2339e4aa4797afe3ac6ff07b1a
23894,https://github.com/SMEFTsim/SMEFTsim,swh:1:snp:7233c8b1637d3e82db821190c198bee393dee9a2
23896,https://git.math.uzh.ch/gkratz/varrank,swh:1:snp:0aeb1f2dd30cbb65b954ad4dc9eca9bab36a43f8
23909,https://github.com/qojulia/CollectiveSpins.jl,swh:1:snp:3f351161b369db3507b8ca75874146b306e62853
24338,https://github.com/TillF/ppso,swh:1:snp:9cfdfee09041af10737abfdf52a95453e42dcd1e
24455,https://github.com/cran/CARramps/,swh:1:snp:8df64b756a57598fcd2d709bd172dfa63f1b4682
24558,https://github.com/cran/ever,swh:1:snp:642e02920cd99ce2aee19dc6461c1462fc9d7645
24797,https://github.com/nathanael-fijalkow/stamina/,swh:1:snp:779e06c32884c0a8698eafcb21d605249dbcaea3
24837,https://github.com/cran/snowball,swh:1:snp:d84f360a344985311724aaf22ef76c123de9f5a9
24882,https://github.com/cran/TGUITeaching/,swh:1:snp:8bd1ebad581ca17ffe782e349e5ff2a06ffd4985
25150,https://github.com/oysteins/QPA2/,swh:1:snp:632914ce353c10ecbd56a17745c91acb5bb5bb5f
25329,https://gitlab.com/fempar/Lib_VTK_IO,swh:1:snp:7e4ae2a7f6bfdf780429c3e783a8333bb7256bca
25462,https://github.com/liffiton/PyMiniSolvers/,swh:1:snp:aafb3e470b6824c30d0f0de8b8807ac208e4bef8
25463,https://github.com/netom/satispy/,swh:1:snp:45b3467ec1339dffa5001ecfa4ad1a0ec08cf974
25733,https://gitlab.com/poem_release/POEM,swh:1:snp:55dbe92367a11139afc9f23993da559f2d3fe415
25769,https://github.com/solids4foam/solids4foam,swh:1:snp:ca022c8b54aec4eb7444789b0d5821e5e8140e4c
25778,https://gitlab.com/lheea/Nemoh,swh:1:snp:b37ea3a60395c7f000d2a259012419f1987c0a99
25788,https://github.com/mcmartins/francy/,swh:1:snp:8fcb769a1b212499044c87a65caa024cdbabfa28
25844,https://github.com/blof/LINERLIB/,swh:1:snp:e7268eda34b53af877d6fd5b02307d396dc2058b
25871,https://github.com/swakkhar/iPHLoc-ES/,swh:1:snp:9c4d010a22c8d92b2093cb70fdafba3687337034
26148,https://github.com/ericsoco/Nest,swh:1:snp:28adec5dac5214828ef22d69c261e19b634c671d
26166,https://github.com/beltoforion/muparser/,swh:1:snp:b51b1c55b746b3632b25b7e36cfe621f16cf53e1
26246,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00061,swh:1:snp:a9be1d744280667c116ed41fdc21ce87548bd0ee
26254,https://github.com/dpscience/dquickltfit,swh:1:snp:8c32ec0bd8b18251afa124dcf3a78ee51f8203b9
28686,https://github.com/distancedevelopment/readdst,swh:1:snp:67b35d80748f7f8370088d0625763ac4920b7a87
28693,https://github.com/sebastianriedel/bingham,swh:1:snp:233b412f84362c9f01e35d559f1b33fcf9d219c7
28718,https://github.com/openscad/openscad/,swh:1:snp:13dd57b989c78586b22d3f5aabc77fb4db85000f
28731,https://bitbucket.org/alexwuhkucs/gda-extraction/src/master/,swh:1:snp:4498e9ee98f381576989b707ec8f76c14ada538c
28859,https://bitbucket.org/cfce/viper/src/master/,swh:1:snp:a9df611c99f7d2131938c711de396c529266e183
28928,https://github.com/wright-group/WrightTools/,swh:1:snp:c0f42f76004952b22a20cd52bd0f24f84c41b5b2
28933,https://github.com/ropensci/restez/,swh:1:snp:b2793be6d564a2941e89efb91562b02f8829295e
28936,https://github.com/romunov/wolfexplorer/,swh:1:snp:c6e57a8927d1ae7f24c167588416f7d0d424e23d
28978,https://github.com/biocore/scikit-bio/,swh:1:snp:497cb6d1011abc80c0208151c34f8f7d0a79e726
28989,https://github.com/mathelab/IntLIM,swh:1:snp:17559cdef93768831f6fe45d88783bda02d6017a
29067,https://gitlab.com/MD-CWI-NL/afivo,swh:1:snp:5233583c40dd9dab4b9307e7e0b0c602a05af554
29097,https://github.com/pairinteraction/pairinteraction/,swh:1:snp:640cc331a59dab54cea21e11c71fb5f99289c837
29121,https://gitlab.com/cerfacs/batman,swh:1:snp:b6e10e2914b808000db12d11d697ea3e43a04230
29179,https://github.com/camdavidsonpilon/lifelines,swh:1:snp:03741e890947fb774e352033c066cd56fe405ee4
29260,https://github.com/cran/bnstruct,swh:1:snp:76caed8b4bd3fe285726db7364b5baa5177da1db
29283,https://github.com/DLab/PISKaS/,swh:1:snp:2f797ab535bfd542cb445c54641ed88692903b23
29391,https://github.com/madvn/Infotheory/,swh:1:snp:14ccf674a1d2497b2172c804255b09c2cc8df421
46770,https://github.com/VMatthijs/CHAD,swh:1:snp:730a635b7706d613110a329889af64ece7c4eb85
45762,https://github.com/DataLab12/graphB,swh:1:snp:88c702270fb1e56fe041fc04a78a7e3260614788
46689,https://github.com/cran/cat2cat,swh:1:snp:88156f4652cb49dafa68e99d1372ebfaa41d4c0f
45312,https://github.com/MagneticResonanceImaging/MRIReco.jl,swh:1:snp:4a76f56096ffcc980bfb44cbce77c6acdd9bb75a
46902,https://github.com/raphael-group/netNMF-sc,swh:1:snp:db0dfee1d3f8c6d171998ef62d5ed3e23b338b14
46474,https://github.com/ARISE-Initiative/robosuite,swh:1:snp:910c1df19f1942704ecbdf1230b3a7e2ef5c7892
45565,https://github.com/BrunoLevy/GraphiteThree,swh:1:snp:0c6fb298b60eaf8afda1a44cc1010e8997b6fcdc
46323,https://github.com/momo1986/AdversarialWaveletTraining,swh:1:snp:a59a1df80568b69159a8fa7b186865fce929fee4
46876,https://github.com/JuliaGPU/AMDGPU.jl,swh:1:snp:419b8a2be820c836bfc986e2409526bb93d12726
46055,https://github.com/joaquimg/BilevelJuMP.jl,swh:1:snp:97fb4edeb179a54ff604ad279054e9820a073c2b
45309,https://github.com/pochoarus/NuPropEarth,swh:1:snp:81f00e26392f05043ae951bad198ed28bcae900d
46523,https://github.com/bighuang624/DSANet,swh:1:snp:7538dac7f01f10fb43fa533cd23f3b7c87529d35
46280,https://github.com/lockEF/MultiwayClassification,swh:1:snp:f5bacb4292fbb27ad72f277db54bf8f1fe915912
46315,https://github.com/minlee077/f-GAN-pytorch,swh:1:snp:8eb0bb6ad5241be561ab6a11b7669979500da7a4
46895,https://github.com/nrzabet/DMRcaller,swh:1:snp:e21e2919f191fbb9b5db4a8a91be15526c288c22
45369,https://github.com/ogorton/dmscatter,swh:1:snp:47db581f31aed974ae65dcdf6f3c93bb80dbf109
45356,https://github.com/marberti/empathes,swh:1:snp:626527283a8d84b2bd4b524cbc68cde05314d2e6
46904,https://github.com/dmaticzka/GraphProt,swh:1:snp:821a9508a54a579f66852c0d7a75f66c4216f34b
46081,https://github.com/cran/gmvjoint,swh:1:snp:bac08eea560bd5c0b01c53b71f4c217542822969
45993,https://github.com/geoelements/gns,swh:1:snp:342b6b4bbe32da98503ec7351c0fd8663eb39bd6
45619,https://github.com/YerevaNN/WARP,swh:1:snp:2613943f8f8886a14c09feda03c9bb778bb3a21d
46374,https://github.com/cran/ctgt,swh:1:snp:fa0bbc86fd0f91d3e38e4643dfb2decea509d9a4
46887,https://github.com/cran/ggh4x,swh:1:snp:9cbe1c99c47fe272d6658abac96b5306a3e60243
45339,https://github.com/lucidrains/reformer-pytorch,swh:1:snp:046c1b4e209ff977508271d611dcca19f7996597
46059,https://github.com/CQCL/qujax,swh:1:snp:908966759663827b6133f207bf727f71b6a959d9
45290,https://github.com/Afgr1087/BESLE_v1.0,swh:1:snp:781a0c334287c6908919a29c42f2b1111e4f5f87
45706,https://github.com/msm550/DMATIS,swh:1:snp:7d5578bf1da1060055c049626eaf014c955c3703
46875,https://github.com/JuliaGPU/GPUArrays.jl,swh:1:snp:782ab29a3aef9bd644ebb6d02d52ba7c9a39782b
45514,https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl,swh:1:snp:dee4f8abdfbf71225fd5eee83fe5cb2d9f7d8565
46684,https://github.com/cran/MCARtest,swh:1:snp:b93a7fc7b6457a1b914cfc0c14d924886ea18386
45448,https://github.com/pyplati/platipy,swh:1:snp:6a6ac1fe57d75e77e37555eca2d4563960195541
45420,https://github.com/artivis/manif,swh:1:snp:888b8b1fad62c8dfbf27dd23d6203af8a4d69d3b
45878,https://github.com/panzheyi/AutoSTG,swh:1:snp:782002963925475eaba603c02b01de586404b847
45442,https://github.com/didriknielsen/survae_flows,swh:1:snp:1e579cf4f5aa58f4dd17198b0c4d888cbe35cb2d
46859,https://github.com/lijiaman/CASENet,swh:1:snp:82130492352c6973a737b8727c0c3739b050f865
45648,https://github.com/kuanghuei/clean-net,swh:1:snp:b3c9bb089f085e7b8a2c7b205a3524e5d297408d
46013,https://github.com/ltentrup/caqe,swh:1:snp:68a42f9c335835d8c6c41583b7d4317002e16908
36937,https://gitlab.com/natchi92/StocHy,swh:1:snp:c7d13059f0b95ab1e73d0d4d101492633e3fdfa6
36971,https://github.com/sebhaan/geobo,swh:1:snp:be9bfb2d1bf4bb99d98a727159e0bc0b0922d0f6
36972,https://github.com/Oftatkofta/cellocity,swh:1:snp:76528a7bc1e96d7387182b337cc69546b1868047
36973,https://github.com/OpenPIV/openpiv-python/,swh:1:snp:c1257cd851d9e20ff6f87b0f7fcff21770524c7e
36980,https://github.com/bcgov/shinyssdtools,swh:1:snp:3d155361c1924ad951f2e3617ad92f50672f55c5
37027,https://gitlab.com/mmartin-lagarde/exonoodle-exoplanets,swh:1:snp:979cff2d104e48414e7d6364793790aeb067b348
37062,https://gitlab.dune-project.org/samuel.burbulla/dune-mmesh,swh:1:snp:f4a43ed54383f5453cae558dd551cf20f26bc067
37096,https://github.com/HuangYG123/CurricularFace,swh:1:snp:77f69e8f8c506a46894f0b710a178c977bf6a4ab
37138,https://github.com/greasemonkey/greasemonkey/,swh:1:snp:9550e6d58cc7ad13730b2e2cc3ebc4210900a881
37157,https://github.com/skojaku/qstest/,swh:1:snp:ae33fcb7b966342ab89b68ecb5add5eb7ac3eed7
37165,https://gitlab.com/hepcedar/contur,swh:1:snp:fd437d77affc356d3c9d4d2f813725d5a9999253
37169,https://gitlab.com/defocustracking/defocustracker-matlab,swh:1:snp:ed60ce4869a69b98bb5713b7de84cd48ed5ae6a2
37174,https://github.com/tnagler/RcppThread,swh:1:snp:a4e39411783180f1523a118bdac67787a6175f06
37219,https://github.com/JuliaStats/RDatasets.jl,swh:1:snp:8962f0f3f7de9dcbe18c06c52fe161de17ea7e03
37221,https://github.com/JuliaStats/Loess.jl,swh:1:snp:b261edb34fb6df1eba279bb0c54c7272d566f37f
37272,https://github.com/naftaliharris/lazysort/,swh:1:snp:66cfe90323c9e43ebb6980ceb4ade0d18941caa6
37367,https://gitlab.com/memshield/memshield/,swh:1:snp:6e79f3f9a883abb778a7eb17f34953477d9804dd
37411,https://github.com/sloria/textblob,swh:1:snp:1ca0d579baa8ec422c023de01b168988e797156e
37569,https://github.com/sisinflab/elliot,swh:1:snp:0b0878707a47ee35496a210d64ba5db895f11b14
37582,https://bitbucket.org/berkeleylab/esdr-pygdh/src/master/,swh:1:snp:55b9e50be7da9194af89604b0203fec1e55f956a
37587,https://github.com/js2264/VplotR/,swh:1:snp:7a9a8744594956c16ee7b7da4c29465351913f02
37592,https://github.com/richford/groupyr,swh:1:snp:fd205f26373290f261f81cc985e0b14bc7aadd5f
37735,https://gitlab.com/bpaassen/ast2vec/,swh:1:snp:4419adcf5339ef0aed1b946aeef52ebc3fc42ed9
37740,https://github.com/thudm/cogdl,swh:1:snp:ba9b6bfd610b53218244dbc06c014a1c17a1c5d4
37746,https://github.com/thunlp/OpenAttack,swh:1:snp:e86232a6744c14bf2fd7a083387d2a3b19f537b8
37764,https://github.com/castorini/pygaggle,swh:1:snp:2dc12e72f5c454abeac012884b035477555968ae
37777,https://gitlab.freedesktop.org/fontconfig/fontconfig,swh:1:snp:500309d7bdc3425de001ffc97f057afc800ac229
37779,https://github.com/CsatiZoltan/CristalX,swh:1:snp:9c2fe748db0eb653dd2e5a99b0caf3fe94ac0717
37781,https://github.com/jni/skan,swh:1:snp:11e6798026b5ce34867f7ae4935324b78cafc838
37794,https://github.com/msmbuilder/mdentropy/,swh:1:snp:11bf4619773dede00386dad53345f2962f2d8bd2
37797,https://git.ligo.org/lscsoft/bayeswave,swh:1:snp:905faa49e6c39396d2c84a28e5e4d5ac7d0db6c6
37804,https://github.com/facebook/react/,swh:1:snp:c9da416d0189a300f2090bdf6be8c3f546036454
37808,https://github.com/tendermint/tendermint,swh:1:snp:e04e8a278b4cc57e4c54c31e09db3e4ebcf25c07
37820,https://github.com/mozilla/narcissus/,swh:1:snp:0c3611c804c31bd72ff8ab3d20e3f91fbf7f40d7
37855,https://github.com/joshjchayes/TransitFit,swh:1:snp:0e5933ab48d2d5ea87b65fe2db7afc8775baad6c
37858,https://github.com/divelab/DIG/,swh:1:snp:905147704ad8460e06243932154c6ba0338ef7d9
37883,https://github.com/morispi/LRez,swh:1:snp:5571894ecd19cec91b61922c48f733796a0d6a18
37884,https://github.com/morispi/LEVIATHAN,swh:1:snp:34a6db890e91362215ac12c2bc7ba440c9824842
37949,https://github.com/mdolab/pyoptsparse/,swh:1:snp:d2802d50250faa0a7375ebfb877da52b3a018fad
37954,https://github.com/SciML/RuntimeGeneratedFunctions.jl,swh:1:snp:743ed9ff1a5cd888bb1ee8dc018a80a36308f466
37955,https://github.com/egraphs-good/egg,swh:1:snp:90e0922e36f65d14a97cb7f3152d640b68a59e96
37958,https://github.com/JohannesBuchner/UltraNest/,swh:1:snp:62753e52e3486d0fab8181646cab966d1fb12389
37960,https://github.com/benmaier/epipack,swh:1:snp:3b4ce560b4c796c8fcbc7898e2037a4337c2a431
37966,https://gitlab.com/ffaucher/hawen,swh:1:snp:38ecc302d623055971ebfe02cfb505766196f339
37971,https://gitlab.com/cerfacs/barbatruc,swh:1:snp:b7341e4fe5eb1c55fa39d0031598e1016d1311ff
37977,https://github.com/darothen/superdroplet,swh:1:snp:2a7e8ebba4a9b292a27fb9455061f452e72c99de
37981,https://github.com/atmos-cloud-sim-uj/PyMPDATA,swh:1:snp:b1c3c3e949904806e81199287170d242fb908090
37995,https://github.com/vitsalis/PyCG,swh:1:snp:3a963d7b2ae10c663aedb64aac3882ad337cca12
37997,https://gitlab.com/avarf/code2graph,swh:1:snp:56df12ef6343423fa09ce51f7a9e11632aaee9db
38022,https://bitbucket.org/traytel/aerial/src/master/,swh:1:snp:f14f18bd62a09ea8aa44c96b529ddd6837d153a3
38057,https://github.com/gvilitechltd/LibSWIFFT,swh:1:snp:009d1c9ab883c5d7e20a99a1630b637395e63ed7
38068,https://github.com/sTertooy/TwistedConjugacy,swh:1:snp:9616e47b722ad6a6752e9bf30ae154bae943009d
38070,https://github.com/tlhedrick/dltdv,swh:1:snp:2a2cbc75c38063c62cabf7b06da48e0859c37ee8
38091,https://github.com/plkumjorn/GrASP,swh:1:snp:abd69b3e398c157b16459435be9d4a58037f1a3c
38092,https://gitlab.com/dl_monte/dlmontepython,swh:1:snp:49165eb6ef5ac801fa54f42b58ebf4c27f72ac5c
38093,https://github.com/algebraic-solving/msolve,swh:1:snp:b587505a290c60ef61de39df755253722a37457f
38094,https://gitlab.inria.fr/pspaenle/tinygb,swh:1:snp:7d189f076c2ac8f1a8b48d098ff28235a34d64ce
38103,https://github.com/ANL-CEEESA/MIPLearn,swh:1:snp:2e3fcbd4c93e30ddeb9fea9b958362c390a33993
38109,https://bitbucket.org/relastro/rugutils,swh:1:snp:8de69c3c3dc3b9851cff46df59924cb38077b86a
38110,https://bitbucket.org/einsteintoolkit/pygwanalysis/src/master/,swh:1:snp:5069cf78cefadcd3b21313a34b062663218810a4
38113,https://github.com/google/tensornetwork,swh:1:snp:116e80a5e08fffc0c8533c4b026a0868a71ebf29
38125,https://github.com/lolipopshock/detectron2_al,swh:1:snp:a37ba9f4cb5a254e79e1fa3ed575b23d80cf8517
38135,https://github.com/AstraZeneca/kallisto,swh:1:snp:6637ee4f87266b07c603b7c9a2742bce1fb2cf55
38137,https://github.com/JostMigenda/sntools/,swh:1:snp:77439d589fa989ece36ea1e0772450a0f55ee621
38141,https://github.com/robashaw/libecpint,swh:1:snp:46268e3b74318170a1e9cded7468741c64364aa9
38143,https://github.com/kuadrat/data-slicer,swh:1:snp:3e15167635f0f19916513073d2088b5362df0b63
38164,https://github.com/neuropsychology/NeuroKit/,swh:1:snp:1feac74412dfd0065186cdd7e20f9df96e58c230
38179,https://github.com/deeptime-ml/deeptime,swh:1:snp:0b017a1c94cbd2c3d24937897d36a2988de11cab
38181,https://github.com/heidelbergcement/hcrystalball,swh:1:snp:9e0b641d3531a46868c9fd60c171085e11a87e27
38183,https://github.com/zillow/luminaire,swh:1:snp:a62b670ad37791e414bd2b1069f0c7c06449c8e9
38191,https://github.com/scikit-signal/tftb,swh:1:snp:b508b43e1f98361409706bd43a89d61378517c38
38200,https://github.com/Mak-Sim/Troparion/,swh:1:snp:711a48c37f79993b6f116c2f52a80806af9e6156
38213,https://github.com/google-research-datasets/RxR,swh:1:snp:a2f13b18c7560870f005ed92c967a359b3d65295
38217,https://github.com/ropensci/stantargets/,swh:1:snp:2f57959ff06c1b43efbb078d8914df479fb7158d
38235,https://github.com/oliviabern/estweight,swh:1:snp:5cf83d60b29fa180c30037ae0af5d7e95170d9d6
38239,https://github.com/CMU-CBML/HexDom,swh:1:snp:859e83cec7cfa83efa17a7e5fb38517ada826c8c
38300,https://github.com/tongylin/DarkELF,swh:1:snp:2d9a193cca37f480e20e1cf1a3ccbda073f3bdc1
38325,https://github.com/Project-MONAI/MONAI/,swh:1:snp:edbf74baa841eeacff5f1c3d6741689630195992
38328,https://gitlab.com/asr-dev/asr,swh:1:snp:e58fec8f5549b093a3c3def5869f215a0f494ffe
38330,https://gitlab.com/jason-rumengan/pyarma/,swh:1:snp:dc11ef80697df7d6bedc3d6ce554cacde392679f
38344,https://github.com/sciann/sciann,swh:1:snp:bbd70044ee92ede745ef72d2b99d3c1a27e041ac
38357,https://github.com/Kyubyong/CSS10,swh:1:snp:ff32b5714097eabf6e08b83f849f23cb9357cc47
38359,https://github.com/JuliaClimate/IndividualDisplacements.jl,swh:1:snp:00b3797ef7d206ba4896130695b298ab32ebe554
38385,https://github.com/gaelforget/OceanStateEstimation.jl,swh:1:snp:40abc678c190ad40a6db843b6dd391b8e486e81e
45505,https://github.com/buschju/pushnet,swh:1:snp:e03c239c0c56028b67b380e173559e7385e07ec6
45346,https://github.com/leaderj1001/Synthesizer-Rethinking-Self-Attention-Transformer-Models,swh:1:snp:8e239ad485752dcf28b306a3186afdf9614b1b53
45358,https://github.com/UW-ERSL/TOuNN,swh:1:snp:782a82061c2d982dcc5f1c9683efe4edafc3fd56
46732,https://github.com/chillin-capybara/cppmie,swh:1:snp:a26df4b67982098d463d70c88c2874a85a889881
46213,https://github.com/calderonil/kron,swh:1:snp:816a0e240e1427bfe87e07fecc7cf0f26ec7fd44
45958,https://github.com/WarrenWeckesser/odeintw,swh:1:snp:440cf917fffb205cf70d5f72b1afedec0e945751
46435,https://github.com/combogenomics/DuctApe,swh:1:snp:361a634b26a9225eb343d85492433037e6c61f8f
45859,https://github.com/borenstein-lab/mimosa2,swh:1:snp:365c4fd0be2674118c788d969968509ba20a6ec6
46009,https://github.com/dselsam/neurocore-public,swh:1:snp:e8c2635b258a7cbb3c74ef4020575385bbe261fd
45486,https://github.com/causalincentives/pycid,swh:1:snp:865bc27c24fed1868029e412f80e62cd5c52777e
45951,https://github.com/JuliaWolleb/DeScarGAN,swh:1:snp:62d6529b94d445e18391a0e95db01e8d35ed8cab
46734,https://github.com/scottprahl/miepython,swh:1:snp:dacda8dcaaaad5b6df6b1eb6e3aa7f8cc0d3c856
45678,https://github.com/LyapXool/V1,swh:1:snp:382a66eb510819f39b50ce5ab18b4b245efdff9e
45380,https://github.com/cran/psychTools,swh:1:snp:efd27e449cd29949c5f2e10cb2fbb08e258fa8fb
46612,https://github.com/TopoXLab/TopoTxR,swh:1:snp:4921114292994521a7745df67726544f96770046
45603,https://github.com/rosedu1/deconvSeq,swh:1:snp:24af4fc105b35d76cb7e24a50740c58b81065ef0
30671,https://gitlab.com/quatomic/qengine,swh:1:snp:bc3771b561b3de4cd94b8bb39f9c98f81af58b5a
30672,https://github.com/daverio/LATfield2,swh:1:snp:9d5204da765484c0cf469c17a005e0e82a76fa00
30675,https://github.com/rflamary/POT,swh:1:snp:2bcb4f810dbb2c72a7b537e89ab7026add01a14f
30676,https://github.com/ncclient/ncclient,swh:1:snp:c88e8eec771cbd0059382c5d236069efcd432c18
30677,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00031,swh:1:snp:b86d2f092348d207bc3c3a1d33db35313d4fd54b
30678,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00062,swh:1:snp:3b98c105c1b26e4b123c5f01de73d334096bb8f6
30679,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00011,swh:1:snp:24ac1a59c495e8fee2dcd71710a3297bffa46b94
30680,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00018,swh:1:snp:26fe3e47dece76a49c428c8ef6ad5ce13d944d3c
30681,https://github.com/Biomedical-Imaging-Group/DeconvolutionLab2,swh:1:snp:83eaf9bacf9b8bfe7a1c468cad85265490641f9b
30685,https://github.com/kb-press/ndsplines,swh:1:snp:f81416be1d555d8df7cc90dcd7a8bf33056afcbd
30686,https://github.com/cran/thurstonianIRT,swh:1:snp:c624432665d37ec0fd543bf0e99e65e5dc63fa3b
30687,https://github.com/shah314/gamultiknapsack,swh:1:snp:1f00efb9279ecfcc68b2649b732b0f9e990a6835
30688,https://github.com/Hazboun6/hasasia,swh:1:snp:3a3945e4a7daf237ae657a063885d1d2a1830189
30689,https://github.com/AliYoussef96/BCAW-Tool,swh:1:snp:3a703eaf7394e0ee1c94df5a705c2917653939e7
30690,https://github.com/UCBerkeleySETI/blimpy,swh:1:snp:9354b7c7249b33e9c16e977b43fb80abefd96317
30691,https://github.com/TerrainBento/terrainbento,swh:1:snp:1935e365e386a5f530c618fa45ff52a3bdf4f999
30692,https://github.com/landlab/landlab,swh:1:snp:665e8727de283fa83a6c69f3365d8dcfb084533b
30693,https://github.com/amforte/Topographic-Analysis-Kit,swh:1:snp:b730c89bb929c77280bed2cbcf030c4757bf218f
30694,https://github.com/simupy/simupy,swh:1:snp:f849dba964f2c2c7f215383b45029bc4a49c89e5
30696,https://github.com/Benjamin-Lee/CodonAdaptationIndex,swh:1:snp:e3d9aad7b09cd220c2080d90e85b58fa1f402a0b
30697,https://github.com/devs-ruby/devs-models,swh:1:snp:f891020608037744f35a416f2782b067eb84826c
30701,https://github.com/pyGSTio/pyGSTi,swh:1:snp:4edeb6e2713f0bafb561c2a1e7b36109c7ea6f55
30702,https://github.com/E3SM-Project/E3SM,swh:1:snp:8e162e9b70b7e1317ee89d622709e8e18b846af1
30703,https://github.com/E3SM-Project/COMPOSE,swh:1:snp:8d548054fd395060c0ca4f122bd055c0272b1707
30706,https://github.com/fppimenta/rheoTool,swh:1:snp:33cbd524a530ae4489c51fe01a6345793b85cfe5
30708,https://github.com/amcdavid/HurdleNormal,swh:1:snp:fad2957cabad451b94283bc3aefc82de706d6b0f
30709,https://github.com/RGLab/MAST,swh:1:snp:809523497b0c4684b5e06dc7d731ec789da278d9
30715,https://github.com/songlab-cal/MultiCluster,swh:1:snp:66e64e8d6c86bcb895e308b504d8d1579c5a867f
30716,https://github.com/fosterfarrell9/mampf,swh:1:snp:5dea2b5ce8e1da52f510288de5ec28bf1fc5f47f
30725,https://github.com/andreasmang/claire,swh:1:snp:2e4e2ffbc66ffa334d890f22965c287b83a64b53
30731,https://github.com/JuliaComputing/BFloat16s.jl,swh:1:snp:d47c1c0a016d5b0f00ce184be39a5493cf4e0cfc
30733,https://github.com/nsundar/SFEM_in_Abaqus,swh:1:snp:61b11783c68a63c94ec98aa7be5a67e43f506fef
30735,https://github.com/KaiyangZhou/deep-person-reid,swh:1:snp:c8289bc729b399dc127b9fca42edd70af861d422
30736,https://github.com/tensorflow/tensorboard,swh:1:snp:c5bd41774a4c658f3471afe4bce0e4e8b5a12449
30737,https://github.com/open-mmlab/mmdetection,swh:1:snp:e787f7f616d9847d68fc57bf9c5c70449d8c1120
30739,https://github.com/huggingface/transformers,swh:1:snp:080eb1c2d600cc0e106befd481db78859b8fec0f
30740,https://github.com/tristandeleu/pytorch-meta,swh:1:snp:e0f4ee3ea5bc2ae5ba6ba556ab9b2572815c8c3f
30741,https://github.com/Cysu/open-reid,swh:1:snp:3c6a04d62db52f06e54f35b00e0bb9117454274c
30742,https://github.com/facebookresearch/Detectron,swh:1:snp:9c7959d1bafbca4d47c2cc2761f3502bd491004d
30746,https://github.com/tensorpack/tensorpack,swh:1:snp:7f70bcdab6acd7400cfe7d68150149cea815ae55
30747,https://github.com/getkeops/keops,swh:1:snp:5c53f6861caa3ba8e9c64a8802a3310cd56a9a21
30748,https://github.com/open-mmlab/mmaction,swh:1:snp:c714564d6c4b758c4bb6854a6066a2d84b961bb9
30749,https://github.com/DeepScale/SqueezeNet,swh:1:snp:3bc2108af891f033ea8ea573ae74a0a9610c9d9d
30751,https://github.com/xh-liu/HydraPlus-Net,swh:1:snp:8d86cb0f8002bccc167f8426fb4aa69b9ffe130b
30752,https://github.com/loshchil/SGDR,swh:1:snp:ec21b0e30961b7275f02cbdc9ad4c92f759b2f53
30756,https://github.com/google-research/bert,swh:1:snp:128bddec966383db8271baafb3bd053ae69feee1
30757,https://github.com/facebookresearch/pytext,swh:1:snp:bf9ddafec72d8964c8f877b3005ccd55cdb2f2c3
30759,https://github.com/zalandoresearch/flair,swh:1:snp:5bf03a8b69fca3cdc79149406f574a4352ab4f73
30761,https://github.com/NVIDIA/Megatron-LM,swh:1:snp:91fb96c452df5b0947f8084df737be5d5b8f1260
31447,https://github.com/cran/mapStats,swh:1:snp:3cf432c69e720d35ab6932252e55bf376c8ce4aa
31448,https://github.com/cran/ggdendro,swh:1:snp:ae3da5b3943400c75c8d6378d13f2f75153486c7
31453,https://github.com/cran/scmamp,swh:1:snp:24afbc0c6dbb7e09bd171df8fc3bd708e0dec10e
31459,https://github.com/zhanghfd/contamDE,swh:1:snp:7cea396eb43712099fb19ef4998cadafc6860c62
31461,https://github.com/cran/trend,swh:1:snp:3bbaa197c943cd3656386223f58865f2344a3111
31462,https://github.com/cran/fdcov,swh:1:snp:54bc1a33dde1251fd655a4f7025ba537d9244226
31468,https://github.com/cran/ACDm,swh:1:snp:7e1491cacff75d8ec192b85fcee4e7f0502b1b3e
31471,https://github.com/gap-packages/hecke,swh:1:snp:c61a07eea286d28e65ff066a70ff84917e78d9f2
31474,https://github.com/cran/disaggregation,swh:1:snp:20c3babb0714809df269b626db088969e010c177
31479,https://github.com/scikit-hep/awkward-array,swh:1:snp:2d7221d59baa3965cf2c8f15487d52863e186b7e
31482,https://github.com/patrick-kidger/signatory,swh:1:snp:c2f1fa3ab33d0f15756b53940dd213ea2cf4a3af
31486,https://github.com/torrisig/FalcOpt,swh:1:snp:20442178cd8208147f14a57185183c91430d81fc
31487,https://github.com/roversch/embench,swh:1:snp:d69f09150e7f99ac73200144bf254b9ed15eb321
31488,https://github.com/wingtorres/morphometrix,swh:1:snp:4e89f2d40551f5d6baaa2cd56209b356ee126c4f
31489,https://github.com/Discngine/fpocket,swh:1:snp:d27b6624957198cc7c83284cbee385babb86b0b4
31491,https://github.com/indralab/adeft,swh:1:snp:bcd6e1870329dcf8d794a6948ae675b317b0d47d
31492,https://github.com/vitorsr/SIHR,swh:1:snp:d79ec9981649f1d95bc3eb8a416f2d44b63f9a06
31493,https://github.com/larq/larq,swh:1:snp:ab87c303d8302025c8300cb126d4ab32b62c20c3
31494,https://github.com/JDAI-CV/dabnn,swh:1:snp:566648def63c03ada4a6dd3d0ad758bbcb484021
31497,https://github.com/fatiando/pooch,swh:1:snp:e0ae22990cc6aefb90dcd8c1987f92601f350272
31499,https://github.com/fatiando/rockhound,swh:1:snp:f2f070f6ff5e884b8bc91939629420d063e90fc1
31500,https://github.com/fatiando/verde,swh:1:snp:7abbfa5ef617268fdd790b4c01d63b80824fd58a
31503,https://github.com/JonasKemmer/AliasFinder,swh:1:snp:7194780aecdbe5a367ecd22437242caa3d57221e
31504,https://github.com/tqdm/tqdm,swh:1:snp:ff7dca8b9b7019233e4ec9537bb09ec7f87a6c89
31505,https://github.com/SoftSimu/CellSim3D,swh:1:snp:e176228f7dde4b5addd4784a682abd0133c7237c
31506,https://github.com/mordred-descriptor/mordred,swh:1:snp:855a9e9649f5597ed7347d0d0dfb6fc3d07b80ae
31510,https://github.com/tbtraltaa/medianshape,swh:1:snp:1cbc157a199c6624273c38626c43b1a79071f399
31512,https://github.com/mkarppa/reduce,swh:1:snp:7fe88d058b7abb2af50fd8dfd9ab54737b2a6528
31520,https://github.com/cran/kde1d,swh:1:snp:21360f22f813766f1219d31aeed06ffc7e4ffc22
31521,https://github.com/mlindsk/molic,swh:1:snp:f3b57a587abee637ac74c3239decacfaede8ea35
31522,https://github.com/ropensci/workloopR,swh:1:snp:e9cb5c3ef9a0bbaa8621628eb180674687b34465
31523,https://github.com/cran/mlr3,swh:1:snp:a869ffc589832edf93d97b7b52e1960104fd605e
31525,https://github.com/alan-turing-institute/MLJ.jl,swh:1:snp:1b42c14f4f4956b934490fbcf87a2ef39dcb0cff
31526,https://github.com/cran/mlr3learners,swh:1:snp:3a976f923241d2b46f0187b277cfdc1cbfbb30f3
31527,https://github.com/cran/mlr3pipelines,swh:1:snp:4bdf2524b3207309013fa20eb7c592ee2311f44b
31528,https://github.com/cran/mlr3tuning,swh:1:snp:0feb35750609fea61cafabef442caaa777cf2166
31530,https://github.com/cran/mlr3db,swh:1:snp:f056e935c4d0a54f49cc54be921fd66eecc5880a
31531,https://github.com/PhanstielLab/bedtoolsr,swh:1:snp:41ec321d3c16a2f893a56182c2d01254bf386de9
31536,https://github.com/cran/Rfast,swh:1:snp:afcd5f51d22886c839074433db23ae0f6fe7f805
31539,https://github.com/audiolabs/webMUSHRA,swh:1:snp:631e572b1ffaeee38084d0858d76f35e69521aa1
31540,https://github.com/HSU-ANT/beaqlejs,swh:1:snp:b5f7eaa622346684502960af231ccdaae807ba0d
31550,https://github.com/uchouinard/DiscreteHankelTransform,swh:1:snp:017a135b7a04064e44e80a117cc136e76832d3da
31551,https://github.com/kkleinke/countimp,swh:1:snp:656d9719cd2413cf7d5fd706c9a783c7a3480cc2
31553,https://github.com/cran/HRQoL,swh:1:snp:feac21c67ace1b0bd567db561acc399187827a25
31557,https://github.com/cran/DunnettTests,swh:1:snp:2a6f51081205b5afe7ec28006fb3c56412e3d719
31559,https://github.com/cran/tfruns,swh:1:snp:bb633b17ea6c22bc99396e5ee7f942c21fdf3900
31560,https://github.com/catboost/catboost,swh:1:snp:1ad966033bf73dc8cd1712b9a7c8e7c975b20f9b
31561,https://github.com/numericalalgorithmsgroup/dfogn,swh:1:snp:1d73a2decce9eea567933bd700abc44b9c692089
31565,https://github.com/cran/dslabs,swh:1:snp:cf9e41f76de8ca2e87fe66b25f6d4cd4b9e88070
33841,https://github.com/landlab/landlab,swh:1:snp:665e8727de283fa83a6c69f3365d8dcfb084533b
45733,https://github.com/nsundar/SFEM_in_Abaqus,swh:1:snp:61b11783c68a63c94ec98aa7be5a67e43f506fef
40066,https://github.com/cran/frontiles,swh:1:snp:17749bdc587c6b73f61f8cf5a977e7c0a37ac735
40067,https://github.com/araith/pyDEA,swh:1:snp:7c879c2c3a6a1c5cd72f323ee2df4dd9296e35e7
40069,https://github.com/cconroy20/fsps,swh:1:snp:a095b0be1a9d71dd0a183e0c430969ae47fd43de
40070,https://github.com/cran/ts.extend,swh:1:snp:7623d66207797c3de271524586b8cf745a07c5d7
40074,https://github.com/VisualNeuroscience-UH/CxSystem,swh:1:snp:4d1368dd91fd30356cc3b8e04bbd0b01bc27b756
40075,https://github.com/NeuralEnsemble/neuroConstruct,swh:1:snp:5a154323ba7b5905c413b5f30d94060b862875a4
40076,https://github.com/simbrain/simbrain,swh:1:snp:8a4affa628d2b9cef9656410a383cfd1ccb02db1
40077,https://github.com/INCF/nineml-python,swh:1:snp:c133c8511ac451cf838496859abb9bb611fcfc15
40079,https://github.com/tudo-math-ls3/feat3,swh:1:snp:be0b101cbe1e063d47d44a290dfe0b0f662022f8
40080,https://github.com/oxfordcontrol/COSMO.jl,swh:1:snp:440ff7304a1851e71a9fdfefe5f8bf8b26eb0ffa
40082,https://github.com/fAndreuzzi/BisPy,swh:1:snp:905f19f122ff3234c360efe8996896330ec61165
40083,https://github.com/pygraphviz/pygraphviz,swh:1:snp:9261275dfe82f67b6dd665a81ac93ba5464c62d7
40084,https://github.com/jbytecode/JMcDM,swh:1:snp:b0f8cd2e10860e1fbc68ffc17411f7184681801b
40087,https://github.com/UMEP-dev/UMEP,swh:1:snp:ac1ab8aea6d11a45d3f46cf19da895cc429d1bdc
40089,https://github.com/orbisgis/orbisgis,swh:1:snp:9f5b5a3af533ecf8b118e2df6ee0e21532555a74
40093,https://github.com/wangjie212/SparseJSR,swh:1:snp:5f8244d76ca37beae707d1c68a8c9ba849eb31cf
40094,https://github.com/Mote3D/Mote3D_toolbox,swh:1:snp:cf9f0d042aa4d3cf2a0aa3749dbf53898013a406
40100,https://github.com/dfujim/bfit,swh:1:snp:1688cb44a38189b9ed7fa6c2b3f13f78eeebe03b
40104,https://github.com/nonlocalmodels/NLMech,swh:1:snp:002c1bb5c8697a8f383409bb10bfea965e7e800a
40105,https://github.com/STEllAR-GROUP/hpx,swh:1:snp:41f215e2ffee71ea559237d88eaaa9e77e22d738
40106,https://github.com/STEllAR-GROUP/libgeodecomp,swh:1:snp:a6e542806963efcd5789b2f0a713dcaf4e4c1971
40107,https://github.com/fla-sil/PyTorrent,swh:1:snp:01b7355e30dbef68534073ea59c4b94ca589aaf4
40108,https://github.com/github/CodeSearchNet,swh:1:snp:41d1569665fc31006b9ef6b9be98bc64eeb8a160
40109,https://github.com/microsoft/CodeXGLUE,swh:1:snp:3b2709bc5f4e94d32336a6f7da4f1f3c4e4de0ff
40110,https://github.com/kleincup/DGMS,swh:1:snp:89951c22e84296348284d8ac4cb0ad25d2da58cf
40114,https://github.com/cran/phia,swh:1:snp:a00fda2b8474044042201ddf15aeccf0bfec890e
40115,https://github.com/cran/odbc,swh:1:snp:d7e7352f91491d39c6f22f6d69c59a405c8bf989
40116,https://github.com/cran/esquisse,swh:1:snp:fd98a2cdbb2f2584fa18c22d3ec9f6fe6335e44a
40118,https://github.com/cran/tinytex,swh:1:snp:aac0f2c57a0a047ba3d6149f5664dee2046d35d6
40126,https://github.com/flowersteam/EpidemiOptim,swh:1:snp:68b8acad974b913e3f47ae1a5a0191d38d290098
40127,https://github.com/pocokhc/agent57,swh:1:snp:6bd2a864fdb77fa6cd905eeb8312d97d29870d58
40129,https://github.com/Microsoft/InteractiveDataDisplay.WPF,swh:1:snp:133f8f0a9b1acd76a7ef733fe75a3bc6780fb4f4
40131,https://github.com/adrianopolus/probSAT,swh:1:snp:3cc2826d90b4471d214eb675abc859122bc0e73d
40132,https://github.com/YaminHuPaperCode/Community-based-SAT-Formulas,swh:1:snp:3a83a60a366d5c1a922a2cd584f9abaff46c417e
40133,https://github.com/YaminHuPaperCode/Community-based-SAT-Formulas,swh:1:snp:3a83a60a366d5c1a922a2cd584f9abaff46c417e
40135,https://github.com/Sumith1896/spoc,swh:1:snp:80491f99e19b001c6d9ae40b557c8a030c35f351
40136,https://github.com/microsoft/XGLUE,swh:1:snp:b40629cec8a7f3ce4ba70575913f5b215f6e11ec
40137,https://github.com/facebookresearch/aroma-paper-artifacts,swh:1:snp:07eddf03faa5e862c6d1c3f420cb5845f003a1eb
40138,https://github.com/michaelpradel/DeepBugs,swh:1:snp:1f4c8212ed970f51ab162a150e72c6055ca27eed
40143,https://github.com/LittleYUYU/StackOverflow-Question-Code-Dataset,swh:1:snp:b51d152f96949853d8dfbfef4d63cf081ea0f1af
40145,https://github.com/saikat107/Devign,swh:1:snp:426e4bb050697dadd10383b15efd6cadd63b9ac4
40149,https://github.com/funstatpackages/BPST,swh:1:snp:77e54d6bb85c3cefdca9d8282c2c79bd2e2039b4
40150,https://github.com/funstatpackages/FDAimage,swh:1:snp:b5f92040c90c90ed8afb45af06471cb204e7b7c1
40151,https://github.com/stephenslab/ebnm,swh:1:snp:2620cfba36e4915e216068fd03031ce5f66c166e
40152,https://github.com/willwerscheid/flashier,swh:1:snp:522edb39915ab51ad1a224700b91f17ad291c2cc
40155,https://github.com/Michorlab/estipop,swh:1:snp:f3e9b80f6de3a05e42ac0d0c49767fae43d3ea20
40158,https://github.com/marcel-krause/2HDECAY,swh:1:snp:dc0fcba75db60a67c59666d79c0d52b6ad7e5297
40161,https://github.com/laristra/portage,swh:1:snp:a6fe05b58bc86c9797cba08e83b022b21e9db5f3
40163,https://github.com/laristra/cinch,swh:1:snp:b1fbebe38ddf65c70ab19984d1bc8bdc98d422f8
40164,https://github.com/laristra/wonton,swh:1:snp:a56dd8813282357aa90595b71bddec6e6df7a663
40165,https://github.com/laristra/tangram,swh:1:snp:2df0b0e1c11396fd6b528a724bce204ae332c3a4
40169,https://github.com/LLewark/khoca,swh:1:snp:94ab9fe61bdb867b5f6a9589fed670ece95a8366
40175,https://github.com/cran/skpr,swh:1:snp:a4067ae8a0317f8aefad17203879097f94756714
40194,https://github.com/androguard/androguard,swh:1:snp:c0f414caf33f9d39c3836d8a72105c000a6ab105
40195,https://github.com/utopia-group/apposcopy,swh:1:snp:1e16a45dbce818d2dad01985082791f9f64038b5
40197,https://github.com/sakaiproject/sakai,swh:1:snp:f8e47c3b92636f79a67a91cd0ec577d952323ed7
40199,https://github.com/cran/glmmsr,swh:1:snp:f3e5e25aea057d8cdec4502a7d7878b373e55627
40204,https://github.com/maine-imre/handwaver,swh:1:snp:8aae1eb35b427633364ca4954dc043ac1bdb3b13
40205,https://github.com/matryx/calcflow,swh:1:snp:8dfa769a9f5efd08ba68206a61256d36dbd011a8
40208,https://github.com/cran/INLAMSM,swh:1:snp:2f71aa0a793cf9c67ba09014cc257b0867c3f25d
40209,https://github.com/cran/inlabru,swh:1:snp:0fae27ebd877bc6981c5a1a49717cb97bfc93e5d
40211,https://github.com/DavidKLim/FSCseq,swh:1:snp:e5f7b1ab88c60f3fa41a11ed80894e0a17d7497d
40214,https://github.com/cran/graphscan,swh:1:snp:7d57dc13bdc5ba8cdd2222d6cd33d23719dbbce2
40215,https://github.com/susurrant/AntScan,swh:1:snp:6e23ad564a701d1ace8615dc995900e039efa29b
40217,https://github.com/aiqm/torchani,swh:1:snp:c88050be76a8dbfc60c33eda5199dcc63233b4eb
40225,https://github.com/gemoran/SSLB,swh:1:snp:8c8e7d5bd70f24b28347cf2dd109826b2736b1a6
40228,https://github.com/MKLab-ITI/pygrank,swh:1:snp:86ea22083d3f33a7d0046b2efaf35cf9b0054a2f
40229,https://github.com/awslabs/autogluon,swh:1:snp:01ed306cf5449fc4fcac47b7fac63804129e1ef7
40230,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00083,swh:1:snp:c89491092987d8e68fa028c3a42c4a01c3ab4ebf
40231,https://github.com/chathika/NL4Py,swh:1:snp:5e78655bfd398639d2ca1ed6f38c7f9b5d6565f8
40232,https://github.com/quaquel/pyNetLogo,swh:1:snp:a24fa866946524895bf0e9fc5512f2aaa428e20a
40234,https://github.com/dmasad/Py2NetLogo,swh:1:snp:c5610f6c24c2ad4c06c9141edb8c287235fa1d07
40236,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00099,swh:1:snp:5da4e0f71e725e9549a2057363ffa85417c556b9
40237,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00098,swh:1:snp:14b64fd35ae902968b2a80fb9cc004040f7012a0
40238,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00012,swh:1:snp:af4fb90a5a5bb5abc17b9573fd1c5c7beda7081c
40242,https://github.com/seung-lab/euclidean-distance-transform-3d,swh:1:snp:e7b916c662260f7c5b1175c4b4ac7a2bb4e83e7c
40248,https://github.com/aplyer/gefolki,swh:1:snp:465e7f718a25188a5e0bbf901ea3e043afff536b
40249,https://github.com/LaboratoireMecaniqueLille/crappy,swh:1:snp:afee9489b14ad5c91c949b35a630bb0df29a9ad6
40250,https://github.com/jcpassieux/pyxel,swh:1:snp:aab2019819c49808fc773e33cc979fe76d68c43b
40251,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00059,swh:1:snp:7f228914a28724374f4d923c58aa66260e5dd2ca
40252,https://github.com/ElsevierSoftwareX/SOFTX_2019_144,swh:1:snp:705ec0d81ca7bd1c33eb5f977fe032b34941cc66
40257,https://github.com/groupeLIAMG/ttcr,swh:1:snp:a2a1901aa367ae2c738f2052cd297ba8a783067d
40258,https://github.com/groupeLIAMG/hypopy,swh:1:snp:7d62a28d25f8967fc10a975c370fc62f5d03095f
40259,https://github.com/groupeLIAMG/bh_tomo,swh:1:snp:6ae6167d29e9720368303ca1061cb1e68265daff
40264,https://github.com/cran/GsymPoint,swh:1:snp:c1e10cae2490a6fbd5f32ad0cfbc32a1af1430fa
40267,https://github.com/cran/rpact,swh:1:snp:2281d8688c42c96204d995953b3c9884bb4e3985
40270,https://github.com/JuliaStats/Rmath.jl,swh:1:snp:4e278392729aab0f87a8f62d1929e38c92cb5493
40271,https://github.com/JuliaStats/GLM.jl,swh:1:snp:6cf62845aadc81973be07c033cd71708fd5c3494
40272,https://github.com/cscherrer/Soss.jl,swh:1:snp:6e41c44920c6f74a6f85a4033a2909448f12ef94
40273,https://github.com/zenna/Omega.jl,swh:1:snp:12877bea3b5801418b4595a8c1d024e6f8f20ba1
40274,https://github.com/MikeInnes/Poirot.jl,swh:1:snp:78ab6c68eb7ee12a0b4c158f961643c4098d2291
40275,https://github.com/JuliaLabs/Cassette.jl,swh:1:snp:67178e6884419d903e18c640d15f9a595124df6d
40276,https://github.com/FluxML/IRTools.jl,swh:1:snp:2b86cbeade2c374304fa4e7ce18bad2ff6b369ea
40277,https://github.com/FRBNY-DSGE/DSGE.jl,swh:1:snp:68c80b597548e854ded8ca09dd9a2c9e03c7de1f
40279,https://github.com/mschauer/Bridge.jl,swh:1:snp:62289864e43b6e1c83353ae226353a5a0f22df8c
40280,https://github.com/mschauer/BayesEstDiffusion.jl,swh:1:snp:a7083c51c9eda93e72c85a60537497762f06bd8d
40288,https://github.com/dmerejkowsky/pycp,swh:1:snp:5beb87c7fb0674daca4630e3f1cb7eeb4008f972
40291,https://github.com/mapequation/infomap,swh:1:snp:81ff97cd9f02eed581fb6f1cf865febd677da5f7
40298,https://github.com/dragance106/graph6java,swh:1:snp:85d2986b18dd042678d6a97d6dbfa4ea29ff4e3b
40303,https://github.com/nokia/web-assembly-self-certifying-compilation-framework,swh:1:snp:b64d3322bc6f09161a9239e9f4292824514bbd9e
35963,https://github.com/mggg/gerrychain,swh:1:snp:e2fcaa4eca3b690e6704189ed1f71648dcabea16
35995,https://bitbucket.org/clhaley/multitaper.jl/src/master/,swh:1:snp:d62f394e8553f8555d7306b0ba8b89c6f1dfaa9e
36003,https://github.com/thepetabyteproject/your/,swh:1:snp:d066020535fe31233e1caac956e7a92d588aaafe
36005,https://github.com/thecodingdoc/neep/,swh:1:snp:b205ca992c7ddbf9728f6c7983d6cde5c00835bf
36016,https://github.com/gamlj/gamlj,swh:1:snp:b897dd371dfbfbcc7bddc175be2284858dfa7e79
36056,https://gitlab.gbar.dtu.dk/heliaib/PUPILS-preprocessing-pipeline,swh:1:snp:ff488d5176e1fa679d9067e026e40b1480a156ba
36089,https://github.com/openradar/PyDDA,swh:1:snp:587213b86d71cce14aecf338a64401346148512c
36097,http://github.com/boolsi/boolsi,swh:1:snp:07dddceaa3bdeac6015c245a68f03aeb46dc4da9
36201,https://github.com/SemMT-ICSE21/SemMT,swh:1:snp:f8070f73a67da87a2bc951e0ae0448e4c7818427
36217,https://bitbucket.org/Epoxid/femorph/src/master/,swh:1:snp:9bac2035e05ee7aedd892138831215e3e617528a
36226,https://github.com/jacob-long/panelr/,swh:1:snp:4d268b4084953bb69f9bb9c72c8cbcc74db05031
36228,https://github.com/grd349/PBjam/,swh:1:snp:455f7af22229ad0fefbfcb6a88b4444a8d0de9a1
36234,https://github.com/SforAiDl/KD_Lib,swh:1:snp:735d80d5f68b52428a249cdb20b4d22f1b8b195c
36254,https://github.com/bcjaeger/R2FixedEffectsGLMM/,swh:1:snp:e9f95ab4660138fb97d0aec0ea851ae42e701450
36266,https://github.com/circuitgraph/circuitgraph,swh:1:snp:3bf5f7dc8d4f1b3d492cd493b2491cbf6055cbb8
36268,https://gitlab.inria.fr/bramas/tbfmm,swh:1:snp:03080592ba11051c5b3cfafb9f86115ea4ed0b6d
36313,https://github.com/AngusMcLure/PoolTestR,swh:1:snp:e9fcb635f261e7633fa432ff47bfc08846e3561d
36337,https://github.com/VignoliniLab/PyLlama,swh:1:snp:b59deef70c28c6156f062519f242b0e5ccb67c15
36355,https://github.com/goodluck1982/SpaceGroupIrep,swh:1:snp:874d8b33546ed011efc24c8687105f717feefc77
36362,https://gitlab.esrf.fr/mirone/pyhst2,swh:1:snp:99b55ee2b46a6ee4faf42ce10cdcff66b6eba7e4
36364,https://github.com/CGCL-codes/naturalcc,swh:1:snp:797658f131009e5d5119082eaf338584c1165dca
36372,https://github.com/gwpy/gwpy/,swh:1:snp:2ce4fd3f1c674226f3d33298aba26f675cc66db2
36375,https://git.ligo.org/lscsoft/gstlal,swh:1:snp:c71de7bc321e0765296a5530e218d47091e36496
36380,https://github.com/JuliaGPU/CUDA.jl,swh:1:snp:7708a1a3710bec2f020f9571324d1b65b61d6273
36381,https://github.com/juliahci/Firefly.jl,swh:1:snp:fffccacd8243abd709cb20ab5e577cea95e2e753
36382,https://bitbucket.org/pyKLIP/pyklip/src/master/,swh:1:snp:ab12192067463378286be8939cc6cd5da14ee22c
36406,https://gitlab.dune-project.org/extensions/dune-foamgrid,swh:1:snp:5cabb5ad923fdf42df98ba4489a7a90c6c402cb1
36439,https://github.com/joshuaalbert/jaxns,swh:1:snp:5f26eda973b60650c909a78c5320c9f863075cc0
36441,https://github.com/deepmodeling/deepks-kit,swh:1:snp:f8f28e4e7ca21003aa116ffc8d4f9489f7483bb0
36446,https://github.com/gregorpatof/nrgten_package/,swh:1:snp:6df2caef577e81df60fa43a451d0515934bfeff2
36477,https://github.com/pyepics/epicsapps/,swh:1:snp:311786b90a3e56795a409076406fe9f1fd03b9b7
36530,https://github.com/mroughan/Polylogarithms.jl,swh:1:snp:98db48581a045e3866dbe4f2103dd5eb25509e8f
36531,https://github.com/LAMPSPUC/ScoreDrivenModels.jl,swh:1:snp:e55d9bc57b3d64451091f0e7285aecffbf5087ca
36539,https://github.com/SciML/StochasticDelayDiffEq.jl,swh:1:snp:84a66a54609b9997d78c316bba3792fefffd8e2f
36563,https://github.com/DocNan/SymFields,swh:1:snp:891fde92318465b9c1ab4eb9e8d4f034b07c8a25
36564,https://github.com/Total-RD/pymgrid,swh:1:snp:271e75de0d27357fffa0cd688a03fd766874534a
36567,https://github.com/nicola-bastianello/tvopt,swh:1:snp:5a028cf7be7d8b215ef5e34428bcd9d7963760c2
36579,https://github.com/jbeder/yaml-cpp/,swh:1:snp:57823e36c1664dcd13a32306e102f767b116ca2a
36588,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00054,swh:1:snp:e5447d03e6e5d7ef83d789547dd5b030b22de905
36591,https://gitlab.com/damien.andre/pydic,swh:1:snp:a3f67820bde5ea5744a4d753f8e1cff99a3e389d
36607,https://gitlab.com/alie89/flubio-code-fvm,swh:1:snp:08ee1b4bed4f86b0b34c2f2432ef188886074725
36612,https://github.com/Fireshape/Fireshape,swh:1:snp:0230ba0008e85c76d67f3562d39f32a66b98272f
36629,https://github.com/bdd100k/bdd100k,swh:1:snp:d272a4324a7ce30e64fff7ad98061ca19e1d3ef2
36649,https://github.com/cvgroup-njust/CityPersons,swh:1:snp:1d55cc724c0a257ab826717862fdae78f9e0aec1
36657,https://github.com/hkust-vgd/scenenn,swh:1:snp:963b0f0dfa99539249b13248d680040e295a185f
36729,https://github.com/nazben/dep-impact,swh:1:snp:1763e6d014b3b46d372ad9dbb9996aa706bf265e
36730,https://gitlab.com/jo314schmitt/admcycles,swh:1:snp:1b2ac1926fd06058f771c90e5760fffd579de3c1
36736,https://github.com/CogComp/illinois-sl,swh:1:snp:1187d455fcbaf4ff59c1904305c1803647e36989
36740,https://github.com/lassepe/iLQGames.jl,swh:1:snp:14c39b5195faaccd0d5b14defbc059c65bc54354
36803,https://github.com/aethomsen/RGBeta,swh:1:snp:22c1588375fceac53c83cff541c67c3201347340
36808,https://github.com/mehdi-karimi-math/DDS,swh:1:snp:e37e2c3aacd3e2363bab79423144874371386070
36838,https://github.com/ag-gipp/20CicmAutoMsc,swh:1:snp:94c6ecc1f024548c1ee4e668086b710eb50586d9
36875,https://gitlab.com/ualib/ualib.gitlab.io,swh:1:snp:0ac20536db38c4f728cc925e6c47f80b4597a624
36876,https://github.com/almost-matching-exactly/DAME-FLAME-Python-Package,swh:1:snp:8be3a5dd05cbf29063cc145449b7e13b23fe5ba3
46461,https://github.com/BerkeleyLearnVerify/Scenic,swh:1:snp:466b9d3dd8a59e4925411ee96ae43cd77f09417a
46236,https://github.com/rzippo/nancy,swh:1:snp:3caabca5cc60cf1b4f0f09cb3f18a7f522105369
46800,https://github.com/cran/fsbrain,swh:1:snp:3128ce69ffc8fc7b53a9a5a5a0d55f17975c29c8
46406,https://github.com/ChihLi/GPcluster,swh:1:snp:e7adca5af033edc37c2d50e80c57733902b63c25
45727,https://github.com/ollieclarke8787/matching_fields,swh:1:snp:4d97ded30b18e1f0458edf6a2f1ca63e595196f8
46623,https://github.com/kamilazdybal/PCAfold,swh:1:snp:9397ddb744d776f7a0d5b6a5b979fc082bf30055
46672,https://github.com/wlwangNCKU/R-TMNImoment-package,swh:1:snp:e83450b8660e1ec76b232319300880c61340ed1f
46429,https://github.com/SINTEF/Splipy,swh:1:snp:cd6c67bae85023fad329de94161eeb6ac950d3de
46590,https://github.com/VicidominiLab/brighteyes-ism,swh:1:snp:58278e9d660f138bff9af1c03f08e125437c798d
45470,https://github.com/flexi-framework/relexi,swh:1:snp:9baef213d7a54658e598976e99152a3e9164971e
45921,https://github.com/TAMUCrypto/zkCNN,swh:1:snp:991149a0481f12fc0e62488087ed38da0abf38e6
45746,https://github.com/MPMC-Lab/PaScaL_TCS,swh:1:snp:de3a23b95f0d38bcfffd24018ed604cafc172bdb
46363,https://github.com/tdavislab/VIS-DSMT,swh:1:snp:3d76ee843e478667052ccd128b613b605746cc92
46584,https://github.com/Alirezalm/scot,swh:1:snp:5292d4a1697a09d625912e5ee7d98dce97c78008
45975,https://github.com/LeavesLei/cvnn_generalization,swh:1:snp:c0bba2eecb41b56988f02549d92a8b5ff810ba7a
46823,https://github.com/jinwen-yang/cuPDLP.jl,swh:1:snp:8faaf6374310c1a4d7e12162f5448f5b55eef527
45974,https://github.com/MercuryBench/ensemble-based-gradient,swh:1:snp:c3185e8b4045ce4decc53335975c5702d0b45d0f
46892,https://github.com/keshav-motwani/IBMR,swh:1:snp:8d5071ccac80164d616223ebd141dcbb66ff9803
46602,https://github.com/LLNL/LaSDI,swh:1:snp:18c3364040614d77f3169bd584a53896c766868a
45512,https://github.com/MColbrook/Measure-preserving-Extended-Dynamic-Mode-Decomposition,swh:1:snp:a043a7046145e8884ee497443fcb53e1a9582855
46640,https://github.com/LukeOeding/ExteriorExtensions.m2,swh:1:snp:02c3b93ead2e119582d52aa0bb286278b8ddbdcc
45636,https://github.com/bshoshany/WormholeParadoxSimulation,swh:1:snp:2cea47f023dfc9af4758592b04451724cc839dd4
46142,https://github.com/QuantumPlasma/SFQEDtoolkit,swh:1:snp:e06ecbc0122b754eb542d0bf320af62cf772be98
45289,https://bitbucket.org/dk-lab/causalsetgenerator/src/master/,swh:1:snp:44cccb26c81fb85074e952db29752aeae5bb7620
46389,https://github.com/MathBioCU/WENDy,swh:1:snp:0ae7d3365039ecd07c0a10fbc0069ddac5e30142
45490,https://github.com/TrustAI/GUAP,swh:1:snp:c6f92b6c1b01ca82cd0693a82ba9814c34073691
45275,https://github.com/scafi/scafi,swh:1:snp:a4c554aa2599393bc503952523f025b5c2da1ddc
45254,https://github.com/JungeumKim/SENSE,swh:1:snp:9ecbe114351a8333bc1322fdb4ebc3cadd3bb8f3
45627,https://github.com/psrenergy/ToQUBO.jl,swh:1:snp:d33e7c885ba0e797b10331bf293672fe66104f25
46293,https://github.com/AnotherSamWilson/miceforest,swh:1:snp:7c33222917fdf2be3481e801af159578081ca3ab
46838,https://github.com/leopard-ai/betty,swh:1:snp:787f2f439591fa4bd3a0aa951d03ad2c4d01b737
46046,https://github.com/TueHaulund/PendVM,swh:1:snp:682e9b83b197e02f9a40402e86f488bda9d6d4bb
45924,https://github.com/cran/bigDM,swh:1:snp:046c803a8c05528a00ba94b25efa8e158daf3428
46405,https://github.com/cran/MRFA,swh:1:snp:a3d4434b15f9186f748e0a61435e6b4bcfd14994
45310,https://foss.heptapod.net/pypy/cffi,swh:1:snp:630eb1ca239324197519a631057a4785faaec91a
46394,https://github.com/scipr-lab/libff,swh:1:snp:f2ee043f470950a5762c925d3c6aa01626f172a3
46516,https://github.com/dotnet/roslyn,swh:1:snp:6924e5168dbda28d84e7108b60efa1415e30f7ac
45936,https://github.com/cbjtu/GrackerTask1,swh:1:snp:c39654d5852d2d866c4b6a83b91a4c1ae41f8226
45930,https://github.com/spacetelescope/poppy,swh:1:snp:f72d3b3af21f21549fe7831f21cbe90e2be480b9
46258,https://github.com/SofaDefrost/SoftRobots,swh:1:snp:3a244fa46d4ba1d04981b31377870a43fc06aec7
45525,https://github.com/EtymoIO/EvolvingGraphs.jl,swh:1:snp:ac4f40013c939393ca93a598b455161e91db553f
45449,https://github.com/FraunhoferIWES/foxes,swh:1:snp:e19876c5ef2b0c9f4ecd86893bae04c01a5654fb
46530,https://github.com/pzwiernik/golazo,swh:1:snp:35f1b2e54d0a274fd1ee3794922ad303ea853c0f
45426,https://github.com/microsoft/vOW4SIKE,swh:1:snp:c9a5e338dd27843eaf7caa55bd6bde774be9d68b
45516,https://github.com/midi-ld/midi2vec,swh:1:snp:364e9513acdbe69d3e30b174aaa957144b829ccf
46699,https://github.com/aritrasep/MSEA.jl,swh:1:snp:7032d446ef8c31dc85b43b3dae23d25a78253f39
39654,https://github.com/smhadisadati/TMTDyn,swh:1:snp:529ae31cc167d31b12a89993642934b6113d1391
39658,https://github.com/UNN-ITMM-Software/GCGen,swh:1:snp:cffac891baafaa12c69ea4b6879702041aae491c
39660,https://github.com/iiduka-researches/202008-hybrid-rcg,swh:1:snp:1a82c42b39055d969d956198b0250cb4039debe5
39662,https://github.com/marcoheisig/Petalisp,swh:1:snp:f5896325cf453bf6167d0792b3c10dccfd152349
39672,https://github.com/cran/nflfastR,swh:1:snp:bdc67d3eef95adc53f1f7dd26d2ba680cd629b31
39673,https://github.com/ryurko/nflWAR,swh:1:snp:bc5685b5196f4a437309b9dac28b1f75837ed175
39678,https://github.com/cszn/DnCNN,swh:1:snp:3a4c2358ebf66749089bcbf663c8c5e4467c3287
39679,https://github.com/jabbring/mht-likelihood,swh:1:snp:9f5bf36a0278a0bedbdd0b22ea02683ae4eaef52
39680,https://github.com/kaliaanup/Mono2Micro-FSE-2021,swh:1:snp:8406cb12b43a52ccdde10719b3ee59df0b10e028
39682,https://github.com/JUnitContest/JUGE,swh:1:snp:a0595fca758142b45ee54e656043b30a4cf5b942
39688,https://github.com/jacoco/jacoco,swh:1:snp:0f5ddd5a6c7e32d7e2a36f6a7ef6d4c7588d6a0a
39689,https://github.com/sslab-gatech/qsym,swh:1:snp:7cf0d66a416f8e0f289ebec6484becad964704fa
39693,https://github.com/pietrobraione/sushi,swh:1:snp:bf96d4ff2762af56f56066e93399e92740435224
39695,https://github.com/libcheck/check,swh:1:snp:97cd7a428cc7bd48f03013096d041c05b79f640f
39698,https://github.com/bumbu/svg-pan-zoom,swh:1:snp:db7b2f40b85d561549a5592b10f3bc23c1d4fa8c
39704,https://github.com/liubenyuan/vispy-tutorial,swh:1:snp:f0d4075fea352447a18cfcd984ff9b301d12596c
39705,https://github.com/fury-gl/fury,swh:1:snp:9e445108e4b4f266952314db025be65f8be4d6ae
39706,https://github.com/glumpy/glumpy,swh:1:snp:bd4baf0f39f69aaaa12761f47c9aab89b5847071
39711,https://github.com/atzberg/gmls-nets,swh:1:snp:473a8262974bc2792345427a79332dca4d8c0356
39712,https://github.com/YunyiShen/CAR-LASSO,swh:1:snp:397fd5239a4fcccfd21580d9d854016368686dba
39716,https://github.com/facebookresearch/vissl,swh:1:snp:386ad2ca493cedce8d18baec3bb569269735236d
39718,https://github.com/lightly-ai/lightly,swh:1:snp:4d71c33a68eba29b7d35fe091d2a55ca4ee3450f
39719,https://github.com/KyleZheng1997/ReSSL,swh:1:snp:1c7420924e2502d959c40557f102234a69e8015b
39722,https://github.com/gregreen/dustmaps,swh:1:snp:6c1834df96921aa9cd1adfd0915814cd6f79785d
39723,https://github.com/weblyzard/inscriptis,swh:1:snp:73ffb2a1dd38f240b5d4f3706ed102889f19c3d0
39724,https://github.com/neulab/SpanNER,swh:1:snp:f87cb7c33440efea83cf3c3d908cd7130c3aa5c7
39883,https://github.com/potassco/eclingo,swh:1:snp:46e644fd3bdb832f222ac8b33ee9ff14c7ea51be
39888,https://github.com/biosystemsanalysis/match2018,swh:1:snp:b3d3018a2cc7f1e01e0a9323fe8d1160508b7e39
39889,https://github.com/cran/PandemicLP,swh:1:snp:c183bdb02862ebf34dac287628c350cc9cf354ae
39890,https://github.com/CovidLP/app_COVID19,swh:1:snp:6cefc576d9f20adac8a7c39c333f99f564ae9782
39895,https://github.com/nrc-cnrc/MetroloPy,swh:1:snp:7c9d096fa9c2ca0ae87f29bad0e406cf27a7f59c
39896,https://github.com/baggepinnen/MonteCarloMeasurements.jl,swh:1:snp:23ee06a85e9eedc8d7d106b642c11876e895ff40
39897,https://github.com/N3PDF/vegasflow,swh:1:snp:4b4c296fa997a4824fa757b6fd468487e68111f7
39899,https://github.com/nschloe/quadpy,swh:1:snp:0648231f5a98c609565e107a100b37a664e31180
39900,https://github.com/SSESLab/laf,swh:1:snp:6675ef3a6ee5d3cd93bb802a74db6ace37b7b3af
39902,https://github.com/csdms/bmi,swh:1:snp:524b8e08d603a931100eaddac32841727644b1f6
39905,https://github.com/poldracklab/pydeface,swh:1:snp:4e876abca51642b7ee6c25222fe93a6ebde9a5b1
39906,https://github.com/mih/mridefacer,swh:1:snp:2aec8f2e8034d48a018a339a517a05bc97f11c25
39907,https://github.com/bids-standard/pybids,swh:1:snp:92010702a37364e9f3d5a585a52020261d119026
39908,https://github.com/nipreps/fmriprep,swh:1:snp:c4104cb9752c0acff075b7a1c56e561fa79b67bf
39909,https://github.com/poldracklab/fitlins,swh:1:snp:1e09b81d40a2f9244d1cde7687fea4174fc97d00
39910,https://github.com/ronaldoussoren/py2app,swh:1:snp:994696013530857e0ca7f441f6683805793ee79b
39924,https://github.com/stat-ml/GeoMLE,swh:1:snp:4caebd4c03fbe4a884023731467fdbf16754ed61
39925,https://github.com/vittorioerba/pyFCI,swh:1:snp:1f1a44cd8b7d3113f8076fec659399775652feaf
39926,https://github.com/dgranata/Intrinsic-Dimension,swh:1:snp:f78960c94e9d02cb61b64cc0a467693208015a27
39928,https://github.com/scikit-mobility/scikit-mobility,swh:1:snp:a5dc97045946776844d6855f70bcd955f2bad78b
39933,https://github.com/thomasorb/orbs,swh:1:snp:5bbdce4bb80788517795632986d1494bb406a783
39934,https://github.com/COINtoolbox/ActSNClass,swh:1:snp:31280a0889237723de4dd6ce6b0779a89182d87e
39935,https://github.com/jakeret/abcpmc,swh:1:snp:ef12821ef5e22dfef0a5ae2ef6e3db9bde65ac73
39936,https://github.com/alphaparrot/ExoPlaSim,swh:1:snp:1491a98a1efac166ba2f0f85ac852cf72b1c9e43
39937,https://github.com/HartmutBorth/PLASIM,swh:1:snp:7b34ab8aab7df0acd7ab30721652bcc18cb34404
39938,https://github.com/paulricchiazzi/SBDART,swh:1:snp:a2df3b14aa23e12edb6ff177032b01b43ddb910a
39939,https://github.com/storyofthewolf/ExoCAM,swh:1:snp:306d38d5cedcbdd632696e41bcee3b3c22d90e00
39941,https://github.com/alphaparrot/ExoPlaSim/,swh:1:snp:1491a98a1efac166ba2f0f85ac852cf72b1c9e43
39942,https://github.com/brian-rose/climlab,swh:1:snp:567a283afd34fd17bca6b458ce90c80547cdbd74
39947,https://github.com/SergSHV/slric,swh:1:snp:7e8069f0eaae3f3612ef68fca082245a52e7ba47
39956,https://github.com/cran/pkgbuild,swh:1:snp:7db278764497dcdbdcdda9f673a7370270e39e8f
39963,https://github.com/mit-dci/zkledger,swh:1:snp:ecaab50de0eff8d038c7d72cfbf4c93fad367048
39964,https://github.com/stc-cqupt/letrist,swh:1:snp:5a7bf6b5b96dfb6b938c08eaa6611fe9f5e14eb2
39965,https://github.com/cran/merTools,swh:1:snp:2bad5feb2dabf3121386709e0d4a46c07ce3d702
39967,https://github.com/sarbal/EGAD,swh:1:snp:54a4dbb72f0897ef8e639a6e93b31021132f1283
39970,https://github.com/Libsharp/libsharp,swh:1:snp:ea4a0ba2e6e157063381557f4fc4218776058182
39971,https://github.com/basp-group/purify,swh:1:snp:0d000dc78695a3027fe319668264ba16eaae1fe7
39972,https://github.com/AstroUGent/shadowfax,swh:1:snp:e40656a703182e0ab12ab0ccd921d5e81db57805
39975,https://github.com/pmvreeswijk/ZOGY,swh:1:snp:99942bdc54470198ac7e2683e21daa7e0b4b0a67
39976,https://github.com/pmvreeswijk/BlackBOX,swh:1:snp:39813596e4ca552d0e551f7724168bf10bce9d01
39978,https://github.com/guille-c/Deep-HiTS,swh:1:snp:26ca3a44dac521d281dbe8b281b836be8dc090fe
39979,https://github.com/astro-informatics/fastcswt,swh:1:snp:323c11664a622717c939cdfd66ebbffac459fd42
39980,https://github.com/anjany/verse,swh:1:snp:0f15c02e4d2641a642b8c0e0c66fa99caa4c9adc
39981,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00089,swh:1:snp:e5164628b8cae372a9d24607ed0d15f1b4e5ce49
39982,https://github.com/MrGiovanni/UNetPlusPlus,swh:1:snp:23d5d72fcd15280fc759edb3ae26f0082af58fc7
39983,https://github.com/skypyproject/skypy,swh:1:snp:d4a3f053b828b3b60218c55ffe1c0d393698d15c
39984,https://github.com/grburgess/popsynth,swh:1:snp:254c43cda8e0b52d857abc779a8ac1cf8556f9f1
39985,https://github.com/astropy/halotools,swh:1:snp:2f630fec038a89f4c6cba8453055602c2f2167e9
39987,https://github.com/ucfcbb/RNAMotifContrast,swh:1:snp:76f434a37f60792d1c4c850450bf24af335c3bda
39988,https://github.com/cgoliver/vernal,swh:1:snp:73870b46b34ba88b227eabf48a70da678d30c77d
39989,https://github.com/bshoshany/OGRe,swh:1:snp:f88638c5fef095aa403fb0a02a62d1e9ba06f543
39994,https://github.com/saeg/jaguar,swh:1:snp:300e5efe1a70661596e0faee38658a918f8c8786
39996,https://github.com/hchasestevens/fault-localization,swh:1:snp:b2e1067da8393c3404db8535b21e8be3e13905b9
39997,https://github.com/nedbat/coveragepy,swh:1:snp:ccb2cf41078eea5d3f03e0ab32706a6f2a1b021a
40004,https://github.com/MetaCoq/metacoq,swh:1:snp:a4d996adbc5c952f06f5a1c19882bb72c991d9c5
40005,https://github.com/veg/hivtrace,swh:1:snp:94269df169e44f7d80fa919846a207a8d253241b
40009,https://github.com/maksimhorowitz/nflscrapR,swh:1:snp:fa7c94fe6d76c9077467c0a04920933bcb554735
40010,https://github.com/linDing-groups/model_4mc,swh:1:snp:227db0d4e13e90095e3c7a533bb67005de631378
40011,https://github.com/Chenyb939/DeepMRMP,swh:1:snp:b6e1ed16e76a4bb4c196c27220eef610209778d3
40012,https://github.com/Shoombuatong/ACPred,swh:1:snp:1604bfa39cdfca44c14a717a7adf790fdb204f54
40014,https://github.com/Shoombuatong/TargetAntiAngio,swh:1:snp:2e128e56a8c8061979efb49798d702b59c81717d
40018,https://github.com/zhonge/cryodrgn,swh:1:snp:5ac654c0afe13326a40fcd2cf947b3d4309b402e
40024,https://github.com/wenyan4work/STKFMM,swh:1:snp:739b8370e12872d731171fc1dab56204cffa7870
40025,https://github.com/zhang416/rpyfmm,swh:1:snp:8a208f59ee811e06d61165e563249cf997fe9cf5
40027,https://github.com/leavesgrp/ABIP-LP,swh:1:snp:08c2822b415f38dd456b9370ad45417153f83e3e
40029,https://github.com/zakimjz/Xrules,swh:1:snp:57238dcfb45b7c866a53aff4f7c0ec7160800b28
40031,https://github.com/bm2-lab/DeepCRISPR,swh:1:snp:9a3a4c0353ddafff2806c0563c249347b7663807
40034,https://github.com/liukeweiaway/iMRM,swh:1:snp:a9cd32c976025c10f7be77d3c44f171bb30667b0
40036,https://github.com/AtsushiSakai/PythonRobotics,swh:1:snp:3569c8dfd1ff88e58e6718c1b3ee648bdf13b4c5
40037,https://github.com/StanfordASL/BaRC,swh:1:snp:d6db2e817c493daa566ff0b30acdb7eee6018801
40040,https://github.com/cms-externals/openloops,swh:1:snp:e994309c3486b09b0cc606ec49bd3f53da9fe103
40042,https://github.com/HJReachability/helperOC,swh:1:snp:077b1721f76e275dc44003ea5a796564350451fd
40044,https://github.com/HJReachability/fastrack,swh:1:snp:ffe1da5e5706ab13fe20abe08d5520270219a51c
40064,https://github.com/javierbarbero/DataEnvelopmentAnalysis.jl,swh:1:snp:0b3b9ee207c2ded8242bb13e5e25c45d530f1ccb
40342,https://github.com/itsoulos/GenClass/,swh:1:snp:473c548a21a908e4f7e9dae3f662f5fd4ffd7393
40368,https://bitbucket.org/fanosearch/db/src/db/,swh:1:snp:d489ddecd69eeb4021fdd61561ae302fd679cadd
40385,https://bitbucket.org/chadgalley/rompy/src/master/,swh:1:snp:c091bf91e1d8751c08313a4aaf103d22e0787a72
40395,https://github.com/abess-team/abess,swh:1:snp:3f916bd27e7e19e8458e64d27fae2075205db749
40396,https://gitlab.com/SmartGridToolbox/SmartGridToolbox,swh:1:snp:5a66e7ade263bbf0c119534ab1121bf1af59506b
40399,https://github.com/stanle/madopt,swh:1:snp:9bf4d53509ad5eebb14329b68bd7d5d75e094216
40403,https://github.com/qiskit/retworkx,swh:1:snp:5c7f4b2b3d0804c595a8a7c9f14b2fc33d32341a
40409,https://github.com/yaleqc/qtcodes,swh:1:snp:b6fb142b9c9611145a96764f04abaa79823e350d
40410,https://github.com/seatonullberg/atompack,swh:1:snp:cb2cd2dbf187ef47974c2b57164867eaa7ba7794
40419,https://github.com/SpeechColab/GigaSpeech,swh:1:snp:311c8ccf00a332969583daa376826382f9bdf67a
40422,https://github.com/danpovey/lilcom,swh:1:snp:8f809b556f0d29c966b7490621bd816e2952de42
40423,https://github.com/csukuangfj/kaldifeat,swh:1:snp:c5b5071d69514375853d17a8e61827f0d9877db9
40424,https://github.com/open-ocean-sounding/echopy,swh:1:snp:b0b65c02a69fd256c6c7e087af9dd0e1d660b6a0
40425,https://github.com/zarr-developers/zarr-python/,swh:1:snp:421654248e6d711515cfe8578f3b4c78c6af5342
40426,https://github.com/mlmed/chester-xray,swh:1:snp:ce5f3f2e6c033ed61ccedb0012812809f37b8be7
40436,https://github.com/vespa-mrs/vespa,swh:1:snp:c5ea832214d88ee7be1a8840d8e3238dff0c6f6e
40441,https://github.com/schorschinho/osprey,swh:1:snp:0d4a2efc8ec7086eafafce57ecea98ff5d342f25
40448,https://git.scc.kit.edu/GPIAG-Software/SOFI3D,swh:1:snp:54580d73a5445c4a3127cd15334345572b3d8352
40479,https://github.com/jorisparet/partycls,swh:1:snp:0caf32ec41f9ab4e64cb61459b95cd3c99ec1ce3
40501,https://gitlab.com/sborhanian/gwbench,swh:1:snp:89260d850105a44100b0ebeff9372e36f3c9f1df
40504,https://github.com/cvxgrp/pymde,swh:1:snp:8dbb3ae65211d7617f37de7476534bc47fef8c17
40524,https://github.com/MichaelSel/edoJS,swh:1:snp:b30eda21950ca1854e57d244214a592e1ef8b9b5
40527,https://github.com/SchisslerGroup/Bigsimr.jl,swh:1:snp:d4defd56de9222480073f391e0a54e573bfb637c
40529,https://github.com/facebookresearch/pytorchvideo/,swh:1:snp:0e8228d11e2ce2b6afe1f3fa8ddb159fcb807650
40530,https://github.com/facebookresearch/slowfast,swh:1:snp:0653cc93e0bccfb15cdd31978d2de686790c7df3
40572,https://github.com/MachSMT/MachSMT,swh:1:snp:0b511566d593104005ea17f5fed9b5acb183141c
40580,https://github.com/mehdiataei/LBfoam,swh:1:snp:46a40fac21d23379289d5d5ff80804cdaee3f859
40583,https://github.com/jestarling/tsbcf/,swh:1:snp:9880d71728562217a4c2dfc487f2939dff5ef65c
40654,https://gitlab.com/seswar3/orca,swh:1:snp:e21df43fd96ff53dccbbe5d334eca281fc19f0f8
40661,https://github.com/mengchillee/AutoAudit,swh:1:snp:a5d93af4ea7e1b45a7d1fd0317b84e25d721557e
46608,https://github.com/rlabbe/filterpy,swh:1:snp:27faa56320514a3d77827f014833084191162688
45344,https://github.com/microsoft/fastformers,swh:1:snp:48d225ecfcf7845b9ec1b42f153c701466c0aa5b
46513,https://git.launchpad.net/adg-tool,swh:1:snp:6c8c856c445732b5cc51718765efe68773ec2fca
45270,https://github.com/catavallejos/BASiCS,swh:1:snp:07ab8d5fc14d8a6378d3e1efad1c740e2e1910a4
46030,https://github.com/microsoft/MPNet,swh:1:snp:d266df315ff1812afb4f5cdc4279114be77570c6
45502,https://github.com/Ghadjeres/Anticipation-RNN,swh:1:snp:0209dffe04d60d4afdf2d8bbfb2a81da07c0e6d6
45407,https://github.com/MathOnco/HAL,swh:1:snp:159139722d4bd6fe0c4dc8f0187d0a1c35c0c8b4
45865,https://github.com/RLado/STB-VMM,swh:1:snp:f6ecad0fe3aabe75f50e62dc06b6ef84ea8c7119
45292,https://github.com/kty1/RFplus,swh:1:snp:0d30009e5b83c6009adcb79fa1cb85f6de934d1a
46221,https://github.com/emduart2/DiscreteStatisticalModelsWithRationalMLE,swh:1:snp:4cf535a05144de3f0c5450c92fa8d45d598d7347
45291,https://github.com/LLNL/Silo,swh:1:snp:d3eff0ecf9005372097595ce8b07ae8d2ba7b9e6
46300,https://github.com/cstjean/ScikitLearn.jl,swh:1:snp:db9e8b6853c6238b1e810bf85af0763fe4edd618
46379,https://github.com/cran/spruce,swh:1:snp:1e786811596fd8ddb111c9cc12237ff6ca4b96b1
45885,https://github.com/lin-lab/COVID19-Viz,swh:1:snp:a7f58cd9c322765f648d831df3f7fdddde8b2f05
45481,https://github.com/hibridon/hibridon,swh:1:snp:2a90cabe7a50308a80fe9a3ed9431cd1630ad844
45616,https://github.com/thunlp/OpenDelta,swh:1:snp:491973555f40db5f2678c5260b40640b783b80f2
46278,https://github.com/cran/networkscaleup,swh:1:snp:68290af4bc0dbd24a5eb9550125bb908390c18c8
45443,https://github.com/cran/sspm,swh:1:snp:946adad79a9f75e5be684ca9839f616db175a684
46414,https://github.com/vdalessa/caafoam,swh:1:snp:6497526719cb8eaf492af4d375566d28c0a962a8
46627,https://github.com/TRIP-Lab/itinerum-ios-legacy,swh:1:snp:8a0d84bd73b6c6a5470973a86f4d3425e65ffd5e
45232,https://github.com/imjoy-team/ImJoy,swh:1:snp:9c0a93614b42c37f85810d41d68b2544921995d3
45896,https://github.com/SeaIce-Math/SubZero,swh:1:snp:5e3ce8f1ac09c060b940a9543a0e62f0ef497df4
45241,https://github.com/Shians/Glimma,swh:1:snp:000c16402eb7543bae7f1ae6e599f3b7fc44b7e4
45817,https://github.com/cran/BEKKs,swh:1:snp:9a760b8c7e1b11d9456ebe2e31e58c9250513666
45967,https://github.com/PieterjanRobbe/GaussianRandomFields.jl,swh:1:snp:23d82f55a1adc7db561881a064a590e5b5f034f3
46401,https://github.com/cran/joineRmeta,swh:1:snp:5a3b5c417186d82bf96c009861fa8a2d5321ad0c
46711,https://github.com/cran/RWsearch,swh:1:snp:099b3e24ae3738be5c7ea3e4eadb1c619ea7e95c
46522,https://github.com/cpchalk/gpcheckx,swh:1:snp:f4ae8ba3409edc92b4eae0d2dd626bc45fce4f08
46172,https://github.com/IRIS-Solutions-Team/IRIS-Toolbox,swh:1:snp:9664ce2c96b5eb54664f6ab43a65697b76674824
46154,https://github.com/cwjsdsu/BigstickPublick,swh:1:snp:e4edf7f74345b3fde6d53a06ff0361201d3ddee1
45296,https://github.com/unina-sfere/adass,swh:1:snp:e1653c4092efa4ce3ad28eee7ac79c947aac6ac9
46477,https://github.com/nnrepair/nnrepair,swh:1:snp:e15ab66fb61c580b4ba7219cdc12bddaf7560f4a
45225,https://github.com/winedarksea/AutoTS,swh:1:snp:b085e0da02e1643e37f14c43feec309eaa64a8a4
45267,https://github.com/SimoneTiberi/distinct,swh:1:snp:b47a48f9374422ffe910a3d9994ccb04cd60ebfa
46696,https://github.com/martin-leuner/alcove,swh:1:snp:dd7635f90de8936e3c42ccacc70eea9bedb4a46d
46673,https://github.com/IntelligentSoftwareSystems/Galois,swh:1:snp:53fee78806f7fb7a8ca6d1b84d4c43b4ddac5f4a
46562,https://github.com/IAIK/marvellous-attacks,swh:1:snp:a2690d8cdede81e6cc9d2202ad76f31a85b78ac9
45237,https://github.com/HELMpy/HELMpy,swh:1:snp:9f9e05ae623601d8e2602adb717c1bb17105e8fe
45385,https://github.com/gbv/cocoda,swh:1:snp:5278dbe210592754f47583fec0e1f458a7fc2ad5
46586,https://github.com/cran/normwhn.test,swh:1:snp:bc86ffa6c99539f4e9085458bcd27d17889c9fcb
45510,https://github.com/Koopman-Laboratory/KoopmanLab,swh:1:snp:5d39035ff7ec8e4b90e357a93a856fc28a13b6e4
46355,https://github.com/openradar/xradar,swh:1:snp:51fe026f051dc5348e10eb3bf833258b765a7d8e
45626,https://github.com/psrenergy/DWaveNeal.jl,swh:1:snp:1e67ff92ea5919aae6ba5a41c611b98eaada5ad2
45431,https://github.com/oris-tool/sirio,swh:1:snp:a3e4eb66a903c514c07478392dd957681282b98a
45815,https://github.com/eeid95/HyperellipticIsogeny,swh:1:snp:f3aa977ebef7cda1cab7b235ee63f0564719605e
46234,https://github.com/siriusdemon/pytorch-DEX,swh:1:snp:dbb345d31ae629357f966db5a3154facd75ce96f
46709,https://github.com/cran/extremeStat,swh:1:snp:85524c2ae2af82486b1b8b919d21943507c0fa0a
46410,https://github.com/npiccolotto/tbss-vis,swh:1:snp:6ffbb2b9d80472902bb546c3680e778bd3089d72
46747,https://github.com/benjjneb/dada2,swh:1:snp:5954f27d8917a285423165a5169133f8014a2b69
45582,https://github.com/JulianKarlBauer/mechmean,swh:1:snp:295a964fd0db3750ebd5ed888a9efae9881fd043
46697,https://github.com/alvsierra286/OOESAlgorithm.jl,swh:1:snp:5568d226c95572fe0afd1d1831188116eb2c6d9c
45421,https://github.com/mctools/ncrystal,swh:1:snp:b3fe3690f546daeaaddd065ca914d4af8e7983c2
46025,https://github.com/cran/ivlewbel,swh:1:snp:ed7d72b7edc4f11a082ec1c676fc2dae6ac18af1
46731,https://github.com/nano-optics/terms,swh:1:snp:bd5df178db6d18fe37b7013fa5be83821cb38bfa
46049,https://github.com/cservenka/ROOPLPPC,swh:1:snp:def1c195389d9b0ae5c23a24b41d06a8cf71b990
45381,https://github.com/Ighina/CERTIFAI,swh:1:snp:8b72b4255ae5aaa2752076f8e9cd48d11e7c2621
46011,https://github.com/ml4tp/gamepad,swh:1:snp:2e97453aa5edf0857bb9ba277d9fa14e97b41348
46099,https://github.com/star-finder/jpf-star,swh:1:snp:3db45dec3a1910b177f515a09073d06eb5f814ac
46156,https://github.com/ykkan/FMM4RBGPU.jl,swh:1:snp:cac08c69608dccf4f3900df22fcc859c0a98fe71
45348,https://github.com/rishikksh20/FNet-pytorch,swh:1:snp:d9876d321f2ddc4225ae80edfe4f96bcd2aca042
45302,https://github.com/uds-psl/coq-library-undecidability,swh:1:snp:55f3cee1d67b23978458dc5e8aedd05c9a02f41d
45624,https://github.com/jump-dev/Dualization.jl,swh:1:snp:b1e5b3ebc086426f634617548a10c476df06e96a
46022,https://github.com/Bahler-Lab/pyphe,swh:1:snp:45f1452aec328b975cce808c789733efbd97a43a
45433,https://github.com/LoicMarechal/libMeshb,swh:1:snp:e430ac6deb1511209840e38b097e68db6c9f85e0
45927,https://github.com/KULeuven-COSIC/FINAL,swh:1:snp:48df3b352416648f65ce74cc322ec234cd0f1e87
46418,https://github.com/imdea-software/legosnark,swh:1:snp:f5a633d7ca6b53f1a0b10b1576b8321399a9746e
45711,https://github.com/sbird/fake_spectra,swh:1:snp:84002a6338f38bcdad80d3b27ccc142e3264fea1
46273,https://github.com/amirjalali65/ARMv8-CSIDH,swh:1:snp:ec7f740744aed041634e180c649681dae84a6208
45322,https://github.com/cran/cli,swh:1:snp:a03471366e1b3f0c505ca9b24b9a7da2e5e0f240
45835,https://github.com/ameli/glearn,swh:1:snp:0a66910fd2d45a233d40b868132628ca4218110b
39563,https://github.com/ejolly/pymer4,swh:1:snp:cb403c917759e887a15b2d92ee8a6c0e53daa9ce
39567,https://github.com/traja-team/traja,swh:1:snp:05128582778593ba71446c7ac64930df521ce63e
39569,https://github.com/ETHZ-INS/DLCAnalyzer,swh:1:snp:3721f1a2497426f82b03de2a416c758912c4088a
39570,https://github.com/anitagraser/movingpandas,swh:1:snp:861469092a05eb8408e17b5111ab47d3e19f2d6e
39572,https://github.com/rohanchandra30/TrackNPred,swh:1:snp:302516f5fde7094ef8933db026863682dc0f31ca
39573,https://github.com/YttriLab/B-SOID,swh:1:snp:92dea161102d904fa39200b4c12b263a0da329d2
39574,https://github.com/vivekhsridhar/tracktor,swh:1:snp:a827207b099b39cde163afa7dff2f0d459d83988
39576,https://github.com/nwojke/deep_sort,swh:1:snp:58220038ca999de9048a462b223f8e94c08b1b40
39577,https://github.com/agrimgupta92/sgan,swh:1:snp:041ee6093cae2a7f6647958419d2a221cca14e83
39580,https://github.com/vvipgupta/OverSketch,swh:1:snp:9619c50b9d68c02542d9901a3b917a282cd785a3
39581,https://github.com/peal/GraphBacktracking,swh:1:snp:f63944e3d74b73b5248cc408058332c4d0b929dc
39582,https://github.com/peal/BacktrackKit,swh:1:snp:810ae661b88a446e4144f1ec7d9775c5ac9d4d65
39583,https://github.com/WebFace260M/webface260m-iccv21-mfr,swh:1:snp:b96474a40f7e0e2deea3b1003265ce364a34c3c4
39599,https://github.com/JRSijsling/gluing,swh:1:snp:835dcd25a599bae0d2c122a556a7845ae368092f
39600,https://github.com/zhou256/iATC-NRAKEL,swh:1:snp:9b96870c33f564de2d6337c32d93590910be8f4f
39604,https://github.com/phanein/deepwalk,swh:1:snp:05bbdcfea0da1ca0f4b90f17e51af948246a476b
39605,https://github.com/MatthewFilipovich/pycharge,swh:1:snp:8120f4bc6ed24d0012c1b930b42682558b2b625f
39608,https://github.com/LSSTDESC/CCL,swh:1:snp:daf1cb3171d016e25d37967144946553ed1fc514
39609,https://github.com/tmcclintock/cluster_toolkit,swh:1:snp:350e5b2c910ce3b22e233e59144669165b60aa57
39610,https://github.com/webis-de/small-text,swh:1:snp:226658a8cfee7085addd21d094488865291c1baa
39611,https://github.com/IBM/low-resource-text-classification-framework,swh:1:snp:2081c6d490efdc9911a229917ccce261e45756b8
39612,https://github.com/adithirgis/pollucheck,swh:1:snp:7b1a38f77493355555579c77c8e05da0de0d892f
39613,https://github.com/cran/rtimicropem,swh:1:snp:8920e6be4761c846f7d7223608d3bfd431ef9a5c
39615,https://github.com/cran/bslib,swh:1:snp:26cb5502848a8b37d76001843cd32224b69d62ed
39616,https://github.com/cran/cvCovEst,swh:1:snp:ed841474a0f112e8e1f25554b0a3bb5fbecee780
39619,https://github.com/WRF-CMake/WRF,swh:1:snp:dfbe72f599ca9408431a2f670e30193f0ac976a0
39620,https://github.com/wrf-model/WTF,swh:1:snp:3ccf9248dd7e150f351ac2c330e17667009e25ac
39621,https://github.com/NMBU-Data-Science/RENT,swh:1:snp:926a82f04ddf1fac925e828f5fb5a93c0e3c88c3
39622,https://github.com/giswqs/leafmap,swh:1:snp:2e5f2db6d818d57fc89ed29742226167cd8f228c
39624,https://github.com/keplergl/kepler.gl,swh:1:snp:7e66b9c7092a685d216ac686a83184c79b7a5167
39626,https://github.com/cran/geofacet,swh:1:snp:b297a5018c4b6cb9a241024ab2d269fd98dcd3d6
39628,https://github.com/histocartography/histocartography,swh:1:snp:e1e573e5f43666e3b5ed9013fc91296c5179a167
39629,https://github.com/histolab/histolab,swh:1:snp:a1cd13ef13cba2be45d9c3bf926706dcbda752f6
39630,https://github.com/DigitalSlideArchive/HistomicsTK,swh:1:snp:b1a17745b6bb3a44582b5ebd560495839222e54e
39631,https://github.com/Peter554/StainTools,swh:1:snp:2657eba6847b93a089b55194f490ca767d4a80a9
39633,https://github.com/SIAAAAAA/CGC-Net,swh:1:snp:e2a8cfb65528cee439992091b1ebe43679837988
39634,https://github.com/histocartography/hact-net,swh:1:snp:950abdb353aab472150de588cea3d7d3c562f5cd
39635,https://github.com/vqdang/hover_net,swh:1:snp:41836caf8d63ca7167f1aa8cdcf86d66b72d5590
39636,https://github.com/TIA-Lab/PanNuke-metrics,swh:1:snp:ea629e79bad1febcbca8f4ea5aa7a62d141983f7
39637,https://github.com/rajaswa/DRIFT,swh:1:snp:59f2398ca2d42958c8dd25dea159259b9b13d23f
39638,https://github.com/streamlit/streamlit,swh:1:snp:3de8c18c520531dccf745e0bac427f3e8f2b6e1b
39639,https://github.com/LIAAD/yake,swh:1:snp:94b459efadaa6818855e65616e94873a1287b570
39640,https://github.com/cy-xu/cosmic-conn,swh:1:snp:e95eb3aec004429d13650166a9b18a6a0ae0ea74
39641,https://github.com/awslabs/dgl-lifesci,swh:1:snp:1ba0bdc5773fca319eaeddccf9e4516623cc2893
39642,https://github.com/profjsb/deepCR,swh:1:snp:a8b78a91da1a2ac6c851225bce8dc43307e7d89c
39643,https://github.com/astropy/reproject,swh:1:snp:6431cdf9a5868f393e8672ad7b3b81e2cd9a1384
39645,https://github.com/astropy/astroscrappy,swh:1:snp:cdfe53efab66148758ec7aceff3c0e05a1883b72
39647,https://github.com/lstappen/MuSe-Toolbox,swh:1:snp:889650087b692f0c685e8cb059350840c53ce2f8
39648,https://github.com/blink1073/oct2py,swh:1:snp:7ff8286ba1dbe1b981ecf274ece6144c804958fc
39649,https://github.com/fpetitjean/DBA,swh:1:snp:e22d248f4acd05a793fc274347b650a0cba8fd32
39650,https://github.com/DanielYago/UNVARTOP,swh:1:snp:33beb83cfbb5eb199974b83053542be632fa65d8
39653,https://github.com/vcg-uvic/viper,swh:1:snp:6fe7ca5935277a45735c501d9d47a9680c8cb4c7
39768,https://github.com/MatthewReid854/reliability,swh:1:snp:bd7b21a4bbbf7c85efb674b5ee32aafbb260ac51
39769,https://github.com/ngsxfem/ngsxfem,swh:1:snp:cd2caac928f47e8b7345046e494b8b47cd57d131
39773,https://github.com/Munroe-Meyer-Institute-VR-Laboratory/Biosensor-Framework,swh:1:snp:a172e86d50f974a35576e33efd9d9305823da904
39774,https://github.com/labsquare/CutePeaks,swh:1:snp:3937bc876d47c8b519f035628b14220efc61eb8b
39777,https://github.com/cran/modelbased,swh:1:snp:4257285c7dc6ca8f5f63e4aa0a7186cc650e5ec8
39779,https://github.com/FRESNA/powerplantmatching,swh:1:snp:46db20d844ee5644f1a2aa4c0b049071024393fc
39786,https://github.com/pearu/pyvtk,swh:1:snp:f34fc6cad6f0c1d82eab9d7033295fc242f1edbc
39787,https://github.com/amrit110/safe_problem,swh:1:snp:a17d630f58d389d7794df4123adf8216d392e320
39790,https://github.com/uqfoundation/mystic,swh:1:snp:d65092417a7f2c30a8590ed8727099e8beb5cf6f
39791,https://github.com/uqfoundation/dill,swh:1:snp:5862a57085524ba0d099c7fbc44220a60d26ddb6
39792,https://github.com/uqfoundation/pathos,swh:1:snp:9ca87085b2e0de5f7fb5d06c37294d5a04589108
39794,https://github.com/kkroening/ffmpeg-python,swh:1:snp:35a3882b6c5f0fc041d5c6451186f14994afb84e
39796,https://github.com/qulacs/qulacs,swh:1:snp:ed3f173f91eb8718ea79e4d5710f88665d6bc1c8
39798,https://github.com/cocotb/cocotb,swh:1:snp:fac55de6443c619f9187ac3078c984da486f71ce
39799,https://github.com/aigagror/GymGo,swh:1:snp:10abdfa3c9c2d408691054b41a4c3d900f0a71b1
39800,https://github.com/gomerudo/nas-env,swh:1:snp:37a89dc29c6c248c3386bdb5d357b4bacf21231c
39807,https://github.com/SpecSolve/SpecSolve,swh:1:snp:a1fb4a21c53e9c4899a16aacc51ca8a317b779bf
39813,https://github.com/aripakman/hmc-tmg,swh:1:snp:2e309f8894b478374635fdd49fbd91064e88b42b
39818,https://github.com/reviewboard/reviewboard,swh:1:snp:d72b681cfde8457ca819a82b4c178e13daf8533a
39819,https://github.com/girder/girder,swh:1:snp:049a92f52760cfebd93723867a172e2b5fb00794
39820,https://github.com/phyloref/jphyloref,swh:1:snp:38bb9d6baffc1daa58d8e12bafe9b8e9ff24a99a
39821,https://github.com/roshansamuel/saras,swh:1:snp:3b216f6483704b148f93402fffa41c01b346bfd0
39824,https://github.com/kli58/ROIAL,swh:1:snp:ae7da585ec7e5851b887befbfe89d9e77d38c982
39828,https://github.com/covercig/covegi,swh:1:snp:c5d7cb64027dcec4e07b7756d6ff951639e6674a
39831,https://github.com/jMetal/jMetalPy,swh:1:snp:f28cab790c5402550eab250cd22942fd67652c48
39832,https://github.com/holoviz/holoviews,swh:1:snp:0240113b727f94d4c8f6d40d4015dbae56187ad6
39833,https://github.com/geatpy-dev/geatpy,swh:1:snp:b9360d9c662a419f1724200183b31ad349fb1e55
39839,https://github.com/yanivbi/HNOCS,swh:1:snp:5b02a8e1ceb29a4ac7ff32718f6073a70d718557
39841,https://github.com/LiangliangNan/Easy3D,swh:1:snp:88b499c414a20da94b5d1397abfc4a7adf102db9
39843,https://github.com/tudelft3d/adtree,swh:1:snp:c2c4214ea3df9f84ef67312089e1864ff7c6ed17
39847,https://github.com/QingyongHu/RandLA-Net,swh:1:snp:cc36f2fc3d22f4da13dbc0200658e4b99b75d0f7
39849,https://github.com/shinke-li/Campus3D,swh:1:snp:2b2919a5466b0455bad178c94f771183fb4d1189
39851,https://github.com/HuguesTHOMAS/KPConv,swh:1:snp:e8f9946f86ea921d81abe24a9e2d851fed2d125c
39852,https://github.com/cran/DatabionicSwarm,swh:1:snp:96dfc642bca9b089ed8bd3de2c04747854f16f24
39857,https://github.com/LeonardoRicci/netOnZeroDXC,swh:1:snp:100f086d5959fb99bedf4c3394012cbf80c0ab09
39858,https://github.com/psistwu/equideg,swh:1:snp:ed261d46a4b4f94efb756f054c3d64ce9e67c4a3
39866,https://github.com/mggg/ecological-inference,swh:1:snp:9e90d0cc5bfcb642cda2a5e76f24847bc4639651
39867,https://github.com/ranocha/SummationByPartsOperators.jl,swh:1:snp:b9ba96a3a17bbf8045af31b13515d9828993c9c3
39868,https://github.com/jamesrhester/Lerche.jl,swh:1:snp:791b1955896334fcc394209d11cdea70ddf3452a
39869,https://github.com/mscroggs/symfem,swh:1:snp:0a6b721fff91ed6e16a7420bf1234e45a0b9d9d0
39870,https://github.com/FEniCS/basix,swh:1:snp:aa68901ec6a1a177ae1b92ad54d1b01d3bdb6f5d
39871,https://github.com/lark-parser/lark,swh:1:snp:85c23f33f3fd3194dc433f158dec497b4c695e92
39872,https://github.com/andrewcooke/ParserCombinator.jl,swh:1:snp:608507b7da2bae8b0ff78ddfbf03996667e05ce4
39873,https://github.com/robertfeldt/PEGParser,swh:1:snp:ea7657bf2b836b65f20823a72f12c36cef4caeac
39876,https://github.com/jamesrhester/CrystalInfoFramework.jl,swh:1:snp:27e239d36d45bb0482e008c9d3ac5d4ba17f5ecb
39878,https://github.com/trixi-framework/Trixi.jl,swh:1:snp:fa43cbba23c7754c2cc52f3bdc496c88b8bd4098
39879,https://github.com/binder-examples/requirements,swh:1:snp:4891f4f137b4a8f75bd2f479da6792bfabc783e0
39880,https://github.com/nvcleemp/conjecturing,swh:1:snp:70ac2103e56c0238538292b3a05ff8e71e0e5d21
26409,https://github.com/cran/CircGLMBayes,swh:1:snp:933628951608ae59ec0db8febeda94526e160e5d
26411,https://github.com/slackha/pyJac,swh:1:snp:10b536805600ef511486d25982095ac40f10573f
26476,https://github.com/asyml/texar,swh:1:snp:60a25c27619de6c4d8056595670da8838f1055d4
26479,https://github.com/HongtengXu/PoPPy/,swh:1:snp:f839b4d0ee4b8723ef4ce400b481820bce81aed2
26500,https://git.ligo.org/lscsoft/lalsuite,swh:1:snp:8c4ab047fbbb293d4b1004a4408e3a831322f7cd
26518,https://github.com/lmfit/lmfit-py/,swh:1:snp:262898cfaf0e75b6f02f7eecf70ae7f19f504bd7
26542,https://gitlab.com/Simox/simox,swh:1:snp:87797ec10c1c1a77b2bf0daeb6a77a47822e4e18
26582,https://github.com/nervanasystems/neon,swh:1:snp:25a0655771c9d5db8991757f6d2f1fe258e494f9
26591,https://gitlab.com/foecke/SiMRX/,swh:1:snp:400fa30d5e74c7041a77e7fecf3871b19fbffade
26609,https://gitlab.com/soundtouch/soundtouch,swh:1:snp:9e1f22e97ba7605825d2f4894b02efe61abc73a3
26647,https://github.com/SCoT-dev/SCoT,swh:1:snp:d35307af7faf7ed74e40b9c0296e7b36523e3610
26728,https://gitlab.com/libvdwxc/libvdwxc,swh:1:snp:143c8149b0f7429fbcfbb5bb5fc176e340a0aef2
26730,https://github.com/susilehtola/erkale/,swh:1:snp:77237f354248196ccab4637a26234d43a9a4a4bc
26742,https://github.com/idapython/src/,swh:1:snp:5d111b3a1b4a66752e945fe8d0ce062e1d536c3e
26911,https://github.com/gordonpace/contractLarva,swh:1:snp:6bae3d697808c57e404c57f7f910b8dcd3308ec5
26923,https://github.com/cran/DNA,swh:1:snp:8973519c9226108afb2ef3c0f15201a622cb407d
26997,https://github.com/foges/pogs/,swh:1:snp:68e8102dd5ed3be4f347bde234fe4eb79a069922
27024,https://gitlab.com/loic.cg.rossi/pymiedap,swh:1:snp:3de6c5f2fa568d9c29005ae23c8b682d9a4b3062
27232,https://github.com/slugocm/bayesfit,swh:1:snp:a9213a4fac0994b94cd35ec9950aead14d3f1f59
27248,https://github.com/opensourcebim/BIMsurfer,swh:1:snp:9fd2755894341ad5a73d941034f76f88ab9d3bd5
27255,https://github.com/diegcif/SOSm2,swh:1:snp:bce0a6a8137be6c2e333f829b660cfd58125e09c
27331,https://github.com/dnmilne/wikipediaminer/,swh:1:snp:44b407ab6395f2762d2971d801da9ace1977f6b9
27373,https://github.com/animalnexus/feedr,swh:1:snp:395ff6e2211cee84b9033fd6d43eb2aa6319607a
27407,https://github.com/ssadedin/bpipe/,swh:1:snp:78bbd4b4393f974ec1a4a78019563c4f47d5ebb0
27511,https://github.com/nipy/dipy,swh:1:snp:185a7e66ac8926640c6a4b6ceed1076c7d516116
27533,https://github.com/menta78/alphaBetaLab,swh:1:snp:e45e538e1b60fb61e857fc07d27097ef98a3ba4b
27684,https://github.com/cran/rgr,swh:1:snp:9645638952aa019902d3308e7e6cf04c1112bab7
27701,https://github.com/jashkenas/backbone/,swh:1:snp:123af99a4c931988c51bb3981781e5c6c95768f7
27856,https://gitlab.com/tensors/TuckerMPI,swh:1:snp:b565252a4dfee2c9540bab249135515aed01d789
27880,https://gitlab.com/materials-modeling/dynasor,swh:1:snp:41b9379b4658c7f9bb46b39293fc2acd5dd9dd24
27983,https://github.com/gap-packages/lpres,swh:1:snp:d298bf315b525c3cd5f6342599cd52920651076a
27997,https://github.com/gap-packages/walrus,swh:1:snp:043c8ee119bfedc759324963d5834715218b97be
28148,https://github.com/ufkapano/graphs-dict/,swh:1:snp:4d79c99119c4c03244a35acdf8b5b6ce47873e53
28152,https://github.com/ignaciodeza/qnoise,swh:1:snp:c4d714095fb1532a42e778a9613205d609bbf63b
28153,https://github.com/tsotsoslab/smiler,swh:1:snp:69c22cf0d49b7c0f9be358b833a2b91eb216ba5c
28266,https://github.com/glemaitre/BM3D/,swh:1:snp:9a53cd3a8bef377462f5ddc3c2ef0ffb7ea057fc
28270,https://github.com/pascalkieslich/mousetrap-os,swh:1:snp:235a11c48874330e812a9e9df85f4ad30ffc11af
28293,https://gitlab.com/pltteam/plt,swh:1:snp:ea23dffa45e0caf2f6bee743bd9ec9088b7d0665
28294,https://github.com/buqeye/gsum,swh:1:snp:7c59ccb5812808d7d4a5d3a7d2411ba7c242cbaf
28295,https://github.com/nnj1/pdbmine/,swh:1:snp:0b6af8bd3c21464e7918ad961841f652d1b93b0e
28426,https://github.com/bobbycyiii/cheeky/,swh:1:snp:4092dc2e491a281386eb612adeead19d10c61b77
28459,https://github.com/ExoCTK/chimera/,swh:1:snp:763e020079fd2053c838d62815be2a693c9f2b9a
30923,https://github.com/Unity-Technologies/DeLightingTool/,swh:1:snp:63c8dd75d3817ea5c32346494d39c11f06c2e224
30933,https://github.com/JetBrains/kotlin/,swh:1:snp:8271a08ce4c0a1426b6a4487fb3c9fdf94267a8c
31111,https://github.com/casperboone/dltpy/,swh:1:snp:40c36ef8d50ed22891fd825407835b6460a3c97a
31137,https://github.com/gap-packages/CaratInterface,swh:1:snp:7d3d81967a1b5e75b5c20a9bc642b3278f67f8c2
31148,https://github.com/albietz/ckn_kernel,swh:1:snp:6a4f3a45f3828454c46e5d459782c9ac465cb3f2
34485,https://github.com/uoa-ems-research/JEMSS.jl,swh:1:snp:c41a696dc6d67d41c6eab91b2392b1880a54d98e
34496,https://github.com/mupq/pqm4,swh:1:snp:7f92b154b22a298e4e5c108a0de770926debb02e
34498,https://bitbucket.org/schreiberh/sophia/src/master/,swh:1:snp:709528011b4d461e7ef8d365112ab0bd957222ce
34529,https://github.com/3-manifolds/FXrays/,swh:1:snp:d506b4ad6b1e957ad86a099fd01920bd7f3bcdde
34548,https://github.com/bcgsc/biobloom/,swh:1:snp:c26db1dbb82a2738b46039fe1039ae9db49732e0
34556,https://github.com/jmetal/jmetal,swh:1:snp:394211b2c12057f4119c837151407718c7c63379
34567,https://gitlab.com/Oslandia/SFCGAL,swh:1:snp:efb4928e9916430325bfa23f2ff90ccebc2d53f1
34615,https://www.github.com/JuliaMatrices/BlockBandedMatrices.jl,swh:1:snp:0325804990f041eb42370c40fdff3b0ce716e5dd
34620,https://github.com/SciML/ODE.jl,swh:1:snp:e85a74d7da38e5835f1b4b5b63520d6d5e2b4dc1
34630,https://github.com/brainsia/logsymmetricdemons,swh:1:snp:62582794bbe7a1ee415e6c5a1750c7a3596425dd
34678,https://github.com/Kappa-Dev/KappaTools,swh:1:snp:643bb2f43daad85db4bf1b88195b8b1677fa5411
34739,https://github.com/soumyadip-HPI/SamaTulyata/,swh:1:snp:0b6207a5bb2880d07f76763a26f55e031dd7a908
34744,https://gitlab.com/manzai/Big-BWT,swh:1:snp:761a91c44fed5e180c89c1a1416d9de3ae4b8585
34746,https://github.com/blustl/blustl,swh:1:snp:dda50b9c60d3e36a82e88e82c168742b8ba0bc3e
34760,https://github.com/QUST-AIBBDRC/rL-GenSVM/,swh:1:snp:50e24ca6d1559f10cd7ab08bfb4f0ef5c31fd35a
34761,https://github.com/QUST-AIBBDRC/PPIs-WDSVM/,swh:1:snp:944759a0cd866f323193af558fa418f279ec3af3
34762,https://github.com/JRSijsling/arithmetic-geometric_mean/,swh:1:snp:8d42e2c7fa1d8381c4895dc43233a7bf85fff59b
34764,https://github.com/dlicata335/cart-cube/,swh:1:snp:d367523247e04954b7335ef4f65cf4132652bc3e
34780,https://github.com/mechanoChem/IGAP4.git,swh:1:snp:59a83577fbde371607baef69571d348b18b3cc3c
34801,http://github.com/amanzi/ats,swh:1:snp:4e0001a6f13ce63a25b75a3b3617f4b8a2a5c6aa
34816,https://gitlab.com/kira-pyred/kira,swh:1:snp:901dc155763d64458b2c35e039c396ea2665ce0b
34839,https://gitlab.com/CMMPEOpenAccess/HoloGen,swh:1:snp:172113e73ed1354cb1489ad68a83135762df5571
34851,https://github.com/nicta/scoobi,swh:1:snp:820377c3911dedcb6bf11d8af6ad732b18138f54
34856,https://github.com/paolini/sandwich/,swh:1:snp:786e145d4842d018bdad2d981e75d02df7f6b4eb
34864,https://github.com/madanim/revisiting_mp_conditions/,swh:1:snp:96d3cdd5ed66847182a315ff86baecce143015f9
34917,https://github.com/tianzhi0549/FCOS/,swh:1:snp:7f4024a912aaf9296fa68b82cfa08f8ff2f9ac2a
34929,https://gitlab.com/dlr-ve-esy/esy-osmfilter,swh:1:snp:f111ead1f3ea2f0dda6e8254ed51677fcce91ced
34932,https://github.com/kegiljarhus/pyBEMT,swh:1:snp:644bd013cda56fc3359898c0de8c6b4ec6c991b5
34936,https://github.com/pyomeca/pyomeca/,swh:1:snp:d88d761f4d47b63daef6174acb3921415467e362
34952,https://github.com/leonardgoeke/anyMOD.jl/,swh:1:snp:f821de62da883e30309e7e973fe9a4ccddcb8a98
34953,https://github.com/JuliaEnergy/Joulia.jl/,swh:1:snp:bf940e2e9d14bee4879ca23c3853dfcf5b3477e2
34979,https://bitbucket.org/rram/dvrlib/src/joss/,swh:1:snp:22f52a7584d57014856648a33ddca93bbdd8cd9a
34997,https://gitlab.com/blsqr/paramspace,swh:1:snp:f299aa792bd4856943edc52afc454bb7c1c29fe1
35001,https://gitlab.dune-project.org/oklein/dune-randomfield,swh:1:snp:5a49054527c8f87d5ab5f86cce9af82a002b2386
35002,https://github.com/jingrebeccali/SpinDoctor,swh:1:snp:82841f6b71f1b7772e631d245951c1444abda8ef
35007,https://github.com/icb-dcm/pyabc,swh:1:snp:ed9a1f5770da0b7db64585691f57825b4880738d
35070,https://gitlab.kwant-project.org/kwant/tkwant,swh:1:snp:0f36a2ecbbe7dd1fda76cfb2f650c95328eb544a
35072,https://github.com/raeidsaqur/clevr-parser,swh:1:snp:ae1d473118973c35ef52abb062ec7cf8d44e2526
35080,https://gitlab.kwant-project.org/kwant/kwantspectrum,swh:1:snp:3391fc4b1fe4de6dd0ddcd91456ae5d6a521bbd6
35097,https://github.com/muellan/metacache,swh:1:snp:c7a4806fc07de0aaff8c489519a271c69ae40005
35098,https://github.com/ramprs/grad-cam/,swh:1:snp:311cfd2cece007847ed2bce74fe859f22fdc1475
35099,https://github.com/pair-code/saliency,swh:1:snp:77a8334447421754518159818c7c8b544e56cfcd
35115,https://github.com/llnl/cardioid,swh:1:snp:78593aac45d477cd23df6a064dfcc76668f11107
35139,https://bitbucket.org/appelo/dg_dath_elastic_v1.0/src/master/,swh:1:snp:ed01dd833736172441771ff5203801e3edfed201
35166,https://github.com/nhejazi/txshift/,swh:1:snp:30ffd02fdb8ff80fda96f659d664f0508e318d0d
35174,https://github.com/mlflow/mlflow/,swh:1:snp:59276958fee4cc7c3d95fb8bd1d11b1177a0fcca
35260,https://github.com/Microsoft/PQCrypto-LWEKE,swh:1:snp:af0d282a8ae6bd54389cc6c4f08210e21d37f120
35261,https://github.com/dwelch67/thumbulator/,swh:1:snp:5d35872a0fc98b68ff16d2f1d3f252988984807e
35270,https://github.molgen.mpg.de/snikumbh/comik,swh:1:snp:5c5612d3f7fe215f37fccb1ccf2aff3a4a6fd253
35284,https://gitlab.com/thomas.biekoetter/munussm,swh:1:snp:3fc3a0feafa3f173b97161c8c8c196364ea9c732
35306,https://github.com/cran/ltmix,swh:1:snp:cc945823a745378ebd2e208287fe589c58916499
35308,http://github.com/nikpocuca/MatrixVariate.jl,swh:1:snp:f55e46f92b41926e577b4ec02635f5a4d9d334ef
35441,https://github.com/dragonfly/dragonfly/,swh:1:snp:aa5f3a64bfe7800c44c32e58b487b5733c40035d
38414,https://github.com/EcoJulia/EcologicalNetworks.jl,swh:1:snp:8a7713f79f0206e1792ecfef60321989913ba376
38421,https://github.com/ianedhlund/PBTKOptimizer/,swh:1:snp:e45a81a52b42711836898245a92cc422a7456bf7
38424,https://github.com/stat4reg/SDRcausal,swh:1:snp:e16bf8748f7adc6d0cbff21a4b1bc80cf8bdde01
38484,https://github.com/microprediction/winning,swh:1:snp:926f741baf15143da7f9dd19252e26822ac29a28
38487,https://github.com/tiagobotari/melime,swh:1:snp:b62175a5ed11f323638f121d7e7675b74e508ae8
38493,https://github.com/T-Heide/TEMULATOR,swh:1:snp:4ee8469ee4faaa73280366e4335019e4a0477e57
38500,https://gitlab.com/timmitchell/GRANSO/,swh:1:snp:bed8c78630e1bf7cce0071ba94e282e93e403ac4
38501,https://github.com/opensciencegrid/docs/,swh:1:snp:668c94529d8c8b72a5f884e66276e4c7fd1bf16b
38510,https://github.com/D-K-E/graphical-models/,swh:1:snp:d548497242b5966c174630201f00cea31003142b
38518,https://gitlab.eecs.umich.edu/mld3/FIDDLE,swh:1:snp:0ace916a2cd55b3f61b2f1d6156d322bfd275b5f
38539,https://gitlab.gwdg.de/moketeam/miep,swh:1:snp:0bd6fe60a1ddcbff97d57ac386f917326970412c
38543,https://gitlab.com/ville.vestman/asvtorch,swh:1:snp:083aba81c4b5fb98080ec7405996bc45c102c54e
38578,https://github.com/fmiretti/DynaProg,swh:1:snp:007779fa61c569ceacda49368bb0a1853ea5429a
38581,https://github.com/refresh-bio/whisper,swh:1:snp:7e1f3ae2b706181c52f0eca6aadac443ff8a4a35
38587,https://github.com/KALMUS-Color-Toolkit/KALMUS,swh:1:snp:b3a87dbe9e308f8ca3ebd1db244354823b689775
38614,https://github.com/JuliaML/LIBSVM.jl,swh:1:snp:8eb01d0504b728e9f2bb4b9876711e1d13314894
38629,https://github.com/cran/hadron,swh:1:snp:f3f25557bb2376c272c0c25f992ffc9a31d4f2fb
38633,https://github.com/alan-turing-institute/PeriPy,swh:1:snp:8c431df5a87bba291aec1438a22ffa4d4fc744a9
38634,https://gitlab.com/AmosEgel/smuthi,swh:1:snp:76f98a494290594e9f8f5f3ff143d12bca4c9da2
38637,https://github.com/UC-Davis-molecular-computing/ppsim,swh:1:snp:e29bf10170e7f87a21fd74854798c757cf990178
38650,https://github.com/zhangzeyingvv/MagneticTB,swh:1:snp:f0597225e21d8eb4b34fa31f0945bd56936b5fe0
38662,https://github.com/VNNikolaidis/nnlib2,swh:1:snp:486badda0f73b11408e73215b7b92b9673d7e6e6
38667,https://gitlab.com/wiechapeter/pyGDM2,swh:1:snp:840fef9751b38243084af889c1b2f79d2f499eb2
38668,https://gitlab.com/tothrola/LPVcore,swh:1:snp:6250ed99da35480ab7895c248f5f283bd6718b40
38716,https://github.com/flashlight/wav2letter,swh:1:snp:dca8020959a18f328508018af412f0cb29832d48
38769,https://github.com/ropensci/dataaimsr/,swh:1:snp:f0f154efc6da0727635fcbb4c5e48d1c80088bb4
38779,https://github.com/pysal/esda/,swh:1:snp:35463fa97ce0a7ebece05a47ceacaf1101b7c0bc
38784,https://gitlab.com/fduchate/predihood,swh:1:snp:d53461274dc3661fd954c3d4a56119d2d47daeb5
38785,https://github.com/robertmartin8/PyPortfolioOpt/,swh:1:snp:65d29806e924d809d7190f9f99a1ed651b283bd4
38791,https://bitbucket.org/magic-su/magic-3/src/master/,swh:1:snp:6e45720620cd33368c0a6e3508bcb880a656e742
38799,https://github.com/damcb/tyssue,swh:1:snp:a544969a74bdf5120331a80d1bbcfc4659dee475
38804,https://github.com/aspuru-guzik-group/olympus,swh:1:snp:b6ca39dafd56a4e6f9f9ff9362271495e00a7a01
38823,https://bitbucket.org/bdiemer/colossus/src/master/,swh:1:snp:7712d30e29313c42af8032667aada5c7bf9e771f
38858,https://gitlab.cern.ch/disipio/DiJetGAN,swh:1:snp:c446506ed9197adf6d01399598747b26bdf792ca
38865,https://github.com/y-256/libdivsufsort/,swh:1:snp:ef7a6536368d78313f7bee5c4db4b07eba5c5580
38878,https://github.com/billmclean/FractionalTimeDG.jl,swh:1:snp:6347889c67060ea4710a73737a136d3d0b229e65
38889,https://bitbucket.org/berkeleylab/fastensor/src/master/,swh:1:snp:044199117a6dddde0501d46c0789c37d9013d647
38892,https://github.com/Bargo727/DIU,swh:1:snp:f0d2eeae376851ae2889cff517a6eccf39f99afa
38898,https://github.com/ethgasstation/gasstation-express-oracle,swh:1:snp:5b6d2139db9a00aa496a9dd6f460970e0af53a18
38904,https://gitlab.com/supertracer/supertracer,swh:1:snp:856b0ff24688f0cfbbe909b51250b7a02e5475c0
38919,https://github.com/usnistgov/Circuits/,swh:1:snp:6509826c08aa5ec2ecb2ae73730232853379cfd6
38925,https://github.com/HZDR-FWGB/Gmap,swh:1:snp:039a50c13c2b1ab120eb0c1317d38756bbbb8731
38980,https://github.com/t2mune/mrtparse,swh:1:snp:011e0d47564fba65b81fd1ac91ca2276973e67d9
38989,https://gitlab.com/hodge_star/catamari,swh:1:snp:2e6de45369e245f1d68d289cc0fee3ec106a435e
39016,https://github.com/shruti-jadon/Semantic-Segmentation-Loss-Functions,swh:1:snp:a051b19662103ff8d0e3e2634f3936f1a035203d
39017,https://github.com/manudubinsky/tinygarden,swh:1:snp:9d99985dff788ee6fe56dd5396c8c81c43b1c8a2
39042,https://github.com/stephenslab/fastTopics,swh:1:snp:74102e8548129382847e1f9f04e9036ae48d45e7
39091,https://github.com/krumsieklab/maplet,swh:1:snp:58efe51812eccb123f7a935a7f4c44b480073236
39092,https://github.com/pysentimiento/pysentimiento/,swh:1:snp:6e4ac8ab477a6abecf47bd8eb33eb8c1310c6fdb
39095,https://github.com/amaiya/causalnlp,swh:1:snp:b1bc5cf54dab7987e9f85b6673e79b3b1d27ac15
39096,https://github.com/medspacy/medspacy,swh:1:snp:65bd2a63e2eab402a8c0b38362dc563b4094af84
39115,https://github.com/blegat/StructDualDynProg.jl,swh:1:snp:6b6a2a170968f457f64d63302b57bec0f36349c4
39129,https://github.com/speechbrain/speechbrain,swh:1:snp:645da260c4196170aa81ba340eaadcb17e114b24
39161,https://github.com/NYXFLOWER/GripNet,swh:1:snp:1cd92fb5e257bc8b416d36333d9d96585cfe807c
39162,https://github.com/criteo-research/pytorch-ada,swh:1:snp:a6363f8f3d6dc981d61414fdb21f8d75d15b9189
39163,https://github.com/chenmingxiang110/AugNet,swh:1:snp:560db4b0eacaae44bf8b83dcbac6abe4b42feb0e
39166,https://github.com/MGHComputationalPathology/highdicom,swh:1:snp:4c1f4c76e6b7b9656210e2f17936a24b22f1066c
39168,https://github.com/qiicr/dcmqi,swh:1:snp:c1af18c5b52dfea164d1ceb23ad54d75407787fc
39197,https://bitbucket.org/ocellarisproject/ocellaris/src/master/,swh:1:snp:36c760bc2d7a0e1c972062c807acb0c2c60c47ae
39204,https://github.com/bradkav/AntiparticleDM,swh:1:snp:786af52a678b8b8f5fccdddd5e5950dba70d0712
39233,https://bitbucket.org/monpoly/monpoly/src/master/,swh:1:snp:774cb58e8967a96038355a3f8090e0cc4fdf388b
39250,https://github.com/openpifpaf/openpifpaf,swh:1:snp:d4135f85bb55b9b3331f4e1393936d4727d1618c
39280,https://github.com/inducer/pyfmmlib,swh:1:snp:72e1ca928664d6d75dc0f9d67d1520536327f94f
39285,https://github.com/benchmark-urbanism/cityseer-api,swh:1:snp:7bca92202316beea87b8097097c96d78fc123853
39324,https://github.com/DrMarc/slab,swh:1:snp:3d65241b6e325c6897f4dc77904780b2951085ec
39352,https://gitlab.kuleuven.be/u0118878/atc,swh:1:snp:3ed5eb7ee4fcfbcb7d97303f6a3a83e38b22be9d
39354,https://github.com/Robotics-BUT/Robotic-Template-Library,swh:1:snp:0d74c6fe57d0325eca6ba1fce55a8620801b6101
39355,https://github.com/chjch/pylusat,swh:1:snp:ec3eafe291799c8039ac5cee9cad7978d1d4cb7c
39360,https://github.com/adapt-python/adapt,swh:1:snp:2ec569c327dfefea7e2a011da58e1a73050ec37c
39375,https://github.com/sonjoonho/SimpleRGC,swh:1:snp:ee6a72dc8bbc5b71da3fd67139c8f5591d74c800
39381,https://github.com/Biomarker-Development-at-INM7/JTrack-Android,swh:1:snp:3b2c383d6637e10b3099c1509af6479700e7267f
39390,https://github.com/amrex-astro/MAESTROeX,swh:1:snp:d49d3db75f552c48ce7a511616e99ca5f3090246
39391,https://gitlab.mpcdf.mpg.de/vrs/arepo,swh:1:snp:25125ed751726776e2645f3dbdbcfd23005be420
39396,https://github.com/openml/openml-python/,swh:1:snp:86072026001b2e2dad6368c1d2bc20e30d9b007c
39414,https://gitlab.com/arun.prakash.mimm/optimic,swh:1:snp:55f99ea00963f9143a47bacf1aab4baa82eb01ea
39415,https://bitbucket.org/arunpksh/nanosculpt/src/master/,swh:1:snp:2a9aa5817711ddfd0186dc989ef49c9f89201701
39417,https://github.com/ayhaidar/pspso,swh:1:snp:bb30f0f87754a27223160b9d2ddeac385cd0d8e8
39443,https://github.com/lszeremeta/MEgen,swh:1:snp:3ce72aabfc9e951e4e1ba599028fa4792ee4485d
39508,https://github.com/xtra-computing/thundergbm,swh:1:snp:ced00b1aa008edd649ef6c055755081e3b40109a
39510,https://gitlab.epfl.ch/listov/polympc,swh:1:snp:cecd88940782c11ce7972631b125be18aa47e9a1
39538,https://repo.ijs.si/mbresar/duffing-cmi,swh:1:snp:1ade8632f33c00ff4f376c0f5f9cb99b3462f4a7
39540,https://github.com/scqubits/scqubits-doc,swh:1:snp:08aff7f42f56424c89d552d58fa43dc3f9e63154
39542,https://github.com/foxfixfax/PyCCE,swh:1:snp:96795e0f90eb077338885b73900686077e432c50
39547,https://github.com/idrl-lab/idrlnet,swh:1:snp:56bbe1efb8856aa564fb4b118f4bd7245038f63f
39550,https://gitlab.com/elvet/elvet,swh:1:snp:33e398999d76465c70ccfa6f2a4cf08f362440da
39589,https://github.com/IrvingMeng/MagFace,swh:1:snp:ca3eb8e4bd8d24fcd88bb28d32462149a638ed86
39618,https://github.com/uDALES/u-dales,swh:1:snp:d3c72522c667dc692cb4e7c5cd507810826e514f
39632,https://github.com/openslide/openslide-python/,swh:1:snp:8643ebb2348a9bb1fb04d2e5a748ea035f8ea778
39644,https://github.com/GeminiDRSoftware/DRAGONS/,swh:1:snp:43e5988ab913dc080657b276e27facda4f35cf76
39646,https://github.com/chainer/chainer-chemistry/,swh:1:snp:84398b9d4193a45b52cc51e44a7fe37497edf541
39652,https://github.com/GrauleM/somo,swh:1:snp:99a6fa1c4368fd22c551a63b8c1fc0c133dd5383
39710,https://github.com/me-manu/gammaALPs/,swh:1:snp:a811d3194b337cbaaa01565acbc1396eb5eb729d
39713,https://github.com/MachineLearningBCAM/MRCpy,swh:1:snp:fbf71baba47ed29edea2a34165ceea8a10df7157
39714,https://github.com/pycqa/flake8,swh:1:snp:bac132f26819cf6e15069dd5e6e2ca9f9db9f25e
39715,https://github.com/vturrisi/solo-learn,swh:1:snp:5681362421ac5d6e3347ff9eec8d9773dbe19c00
39725,https://github.com/orcca-uwo/MultivariatePowerSeries,swh:1:snp:e073b2fe86fde958c5e65ce7b575510effa678f4
39727,https://github.com/JuliaManifolds/Manopt.jl,swh:1:snp:88e9b8db3da067a5bd2219d89e4abfeb95851337
39797,https://github.com/aebeljs/VeRLPy,swh:1:snp:45babae1e9e119060ef67a144eb98ea57b288b73
39811,https://github.com/cjgeyer/glmdr/,swh:1:snp:226aebbad58337b1f52e4eb85da8936bb3a08589
39823,https://github.com/Stanford-ILIAD/APReL,swh:1:snp:5d15846de6078ed3583b2deb26992f52f7b41822
37990,https://github.com/tyler-hayes/Stream-51,swh:1:snp:c5398ae5a05001557d1e7c8b9dabdc03f3fddd39
37994,https://github.com/lifelong-robotic-vision/OpenLORIS-Object,swh:1:snp:368a3544f899b28373cfb3f2c2fb803859f5eb68
37996,https://github.com/davidfraser/pyan,swh:1:snp:b50ee9e3f22f0a33474a090b7c072a4c343fe246
37999,https://github.com/multilang-depends/depends,swh:1:snp:97c17af4cef07e00f95c3f4d1d46d78f71bd2335
38001,https://github.com/gak/pycallgraph,swh:1:snp:d803e4ebbfbd6e9727c4a9451054364fa52b7af0
38004,https://github.com/taustin/Zaphod,swh:1:snp:e0ee6ff455d704d18e108a698582cdaac7c65cdc
38012,https://github.com/temelmertcan/multgen,swh:1:snp:3036bf1fa6e1990ac01944ee108914dc08c57faa
38050,https://github.com/vortexlab-uclouvain/flups,swh:1:snp:8bf827f288a257e00e5876aab5bcd92e01f68296
38051,https://github.com/sisl/POMDPStressTesting.jl,swh:1:snp:873ce7cb9f186d8d18a43c79a928cde6b8afa638
38052,https://github.com/sisl/AdaptiveStressTesting.jl,swh:1:snp:ed57506a742e6f88600228cb9fa94c1b52cd3675
38053,https://github.com/nevrome/bleiglas,swh:1:snp:f170dc772b7103e1c573047721d50519900891f7
38055,https://github.com/cran/geos,swh:1:snp:133d25911a3360da39b9573962ce3cfc1dde632d
38058,https://github.com/focolab/minimo,swh:1:snp:67470e3282b491b5aa2aa9da004760e1a7a316b9
38059,https://github.com/minio/minio,swh:1:snp:ae498937e5ffc11549b803e515bb9ff583f30766
38060,https://github.com/expressjs/express,swh:1:snp:356c10700d72e68aeef8f7181941c44f0f1e36b2
38064,https://github.com/Narayana-Rao/PolSAR-tools,swh:1:snp:fabd54e2e7928699f017b2cc499522b604d1ea62
38066,https://github.com/cran/nlrx,swh:1:snp:e6d6fb151a8de3e642d3965284709315c5dabaf8
38067,https://github.com/purdue-biorobotics/flappy,swh:1:snp:3389415c3ed6735ac34063b10c78c9d550b5d140
38069,https://github.com/dartsim/dart,swh:1:snp:d674cec82d0588d04df6519a8d7c7fde1726ac69
38072,https://github.com/jupyter/nbgrader,swh:1:snp:5e34e3de202abb7a11b507c7004fc3cb4480854b
38074,https://github.com/wrightaprilm/treesiftr,swh:1:snp:e96bbe22d04428a664557544fc6a3cec55b24717
38075,https://github.com/liuxinhai/Point2Sequence,swh:1:snp:b90f9a6c616e62241c0cb9f78665c58824022aff
38076,https://github.com/tyshiwo/MemNet,swh:1:snp:89a34b677ec29aa69dbaebf8a570d5f429eac239
38082,https://github.com/THUMNLab/AutoGL,swh:1:snp:5373f410c3a14ccd01278d4b2a4c76d526086c29
38083,https://github.com/hp027/AliGraph,swh:1:snp:54e349925aae9acb8ea36d824dda8d43d091faa4
38085,https://github.com/tadpole/AutoNE,swh:1:snp:9a869299ec5bedf6316b755dfed0f4133227dd98
38086,https://github.com/lightaime/deep_gcns,swh:1:snp:98e9a8ab2bddbe67e9188fb41ea9272d89a1db1c
38087,https://github.com/LingxiaoShawn/PairNorm,swh:1:snp:5b0c5b85e4b0ab179023c75720c9cfa57746f6b1
38088,https://github.com/soumith/net2net.torch,swh:1:snp:cd5effb84fb30bfe92706ee58fc215d4c3efefd7
38089,https://github.com/matenure/FastGCN,swh:1:snp:cf025bdb6aca3361f89219b20bee97a1f2a661c4
38090,https://github.com/amoliu/CayleyNet,swh:1:snp:a0cca4884c11af3dd6dde2c981998424c4ceb48a
38098,https://github.com/OpenMined/TenSEAL,swh:1:snp:83e707a69d4a3c4c1405c7720b46b2ccbb91ea01
38100,https://github.com/IntelAI/he-transformer,swh:1:snp:8dc792572c42fb06d3311331ab6ec1d634bd9cc7
38101,https://github.com/ds4dm/ecole,swh:1:snp:692fe909d4ed0fd1675cab6450b522a60782ff09
38102,https://github.com/wz26/OpenGraphGym,swh:1:snp:bc634f503dd2ebc4e35fd8bb145bd488cdcacf50
38104,https://github.com/Sbozzolo/kuibit,swh:1:snp:af9d63e8d2c096c82fdbbc514aba8714b5703db7
38105,https://github.com/tnbar/tednet,swh:1:snp:043e070761891bdf97e3f78900a5c3ade80525a5
38106,https://github.com/YihanWangAstro/SpaceHub,swh:1:snp:e24324434255b5f509b5ee63bb439255522b8af6
38107,https://github.com/octanove/expats,swh:1:snp:378595dfb5412a72bbe906a575b1fec337aafb10
38108,https://github.com/wokast/PyCactus,swh:1:snp:0ec96193fc37ae69a72bad4385fd77ff058d4017
38111,https://bitbucket.org/dradice/scidata,swh:1:snp:87822f36843e5e9fbca75ec92b73570610df18ea
38112,https://github.com/Large-Scale-Tensor-Decomposition/tensorD,swh:1:snp:08a3e29c4081df705b2b3996382584f04eecc6c6
38114,https://github.com/Unbabel/OpenKiwi,swh:1:snp:835599124524171df9263bef5e421e3ce0af2874
38115,https://github.com/Tencent/NeuralNLP-NeuralClassifier,swh:1:snp:0c2f0e45a46a45d3fc63d3cc4bf9499734043761
38116,https://github.com/IBM/aihwkit,swh:1:snp:91449bee36069d1ecfebf8f09dc287550c52c2e3
38117,https://github.com/neurosim/MLP_NeuroSim_V2.0,swh:1:snp:eed62223027faa1c52eb79ad895256835a68b1f1
38119,https://github.com/mravanelli/pytorch-kaldi,swh:1:snp:ef969da054323b9e0bf817b97c725a15e9bc3b27
38120,https://github.com/wangyu09/exkaldi,swh:1:snp:7c008ad12c2a7d43af6a7d843d07e592bf748fa9
38121,https://github.com/sooftware/jasper,swh:1:snp:951c93e1271f75cab92220df0ea1295c907e8c1a
38123,https://github.com/tesseract-ocr/tesseract,swh:1:snp:0dd567ca59c39b560d3f6751c2d8233a4fc8cd54
38124,https://github.com/doc-analysis/TableBank,swh:1:snp:f5eaaa336ea787e4a47ce1a8838199212b0722fb
38127,https://github.com/DevashishPrasad/CascadeTabNet,swh:1:snp:25c86157c9c4bd62a050cbf26254fce43e35bdf4
38128,https://github.com/dhlab-epfl/dhSegment,swh:1:snp:435dfd76e87c7c5d07efe79d213bb022698b8784
38129,https://github.com/carlobaldassi/RRRMC.jl,swh:1:snp:c61362273fe900df084764f5fff3ca603896a6e6
38133,https://github.com/mengaldo/PySPOD,swh:1:snp:20696dab1f589c49d8f52e1c34a6bdcdb560daa9
38134,https://github.com/SpectralPOD/spod_matlab,swh:1:snp:fe9494c2fe597aa4f5414ff4b7c80a389f8bc519
38136,https://github.com/niosh-mining/obsplus,swh:1:snp:b26fc1e0c8251160dad08f55c96b02a4b1b6c64a
38138,https://github.com/SNOwGLoBES/snowglobes,swh:1:snp:44780a3f7b113d2ed317edaef8e0f4f588ceb862
38142,https://github.com/qcserenity/serenity,swh:1:snp:7fb88628a2cbc5754d790c19d5c2f0806b9ab84e
38477,https://github.com/PTB-PSt1/PyDynamic,swh:1:snp:7532a706bebadec417bcd048d9e8b51868a85ebe
38480,https://github.com/rikblok/matlab-lhsdesigncon,swh:1:snp:6e464d6728af59e50f19499138d219e8dc480cf7
38482,https://github.com/GeoGroup/DigiSim,swh:1:snp:f81728985ed94b49560021f4a156a3a9118c123e
38483,https://github.com/rivetTDA/rivet-python,swh:1:snp:4f65a6926e69268bdfe552f615507d389ae2006b
38485,https://github.com/cran/pbdMPI,swh:1:snp:4350badf492e2aa6a5d13c1f7b8cd6257af223c0
38486,https://github.com/cran/nvmix,swh:1:snp:8cbf3466c82dadd9cf82ed0365fca7851cca6f6b
38497,https://github.com/PioKow/GRPF,swh:1:snp:638d7f59c1ed75f6967d4b298a8b57ebbc33f541
38498,https://github.com/RvanTwist/uu-thesis-prm,swh:1:snp:8f2bbc888a74c0db0707bfefb3999ed3fb791b2f
38511,https://github.com/pgmpy/pgmpy,swh:1:snp:53540c23d4ac20f530072c56527946cdd98f27e5
38512,https://github.com/ihler/pyGMs,swh:1:snp:6b7c6d2d50b373a217a64ca0a87816e0ffb38440
38513,https://github.com/rdlester/pyfac,swh:1:snp:bc2abc570cb04d42a80547d79e41a1aba6f10a3c
38514,https://github.com/paulorauber/pgm,swh:1:snp:f7e8ad081ac5566903f147a408fba9986141facb
38516,https://github.com/cran/rlang,swh:1:snp:770667a0960cc63085a920c5d020779b6267d91b
38517,https://github.com/cran/doFuture,swh:1:snp:19780266f3949c29a24054ab15e4d1141f0065a7
38519,https://github.com/haotian127/NGWP.jl,swh:1:snp:e875ad44dc1e26eb2cd48fc5f5a18d2cecac11dd
38524,https://github.com/nagygp/Hermitian,swh:1:snp:c750d240cae136d6806167f816231f851db3fea9
38525,https://github.com/mou3adb/PARADVECT,swh:1:snp:9713a7c39966755aa4edbc5b7ee1df44c59b7c68
38526,https://github.com/lm2-poly/RodiCS,swh:1:snp:ac8d000589540913bc8017eddc7796235936d99d
38527,https://github.com/scott-moura/fastDFN,swh:1:snp:c8da98cc6570b83cd89a03947ad8d6c311826825
38529,https://github.com/ConorMacBride/mcalf,swh:1:snp:4cec905d0e130751029e56c16d5a981aa710583d
38530,https://github.com/ratschlab/bnn_priors,swh:1:snp:5161d1bccb319cbc7b4867fa6fd9ac0f037c29f9
38533,https://github.com/Qiskit/qiskit-aqua,swh:1:snp:24820ed378c11d962356a500c3485ee56e039674
38534,https://github.com/Qiskit/qiskit-terra,swh:1:snp:3d7f7edd5a67e3325890a2f9c13c516ea75cb3eb
38536,https://github.com/ORNL-QCI/qcor,swh:1:snp:a159a1a37bca6c47f6db51d340af5e8c8313042d
38541,https://github.com/ri-unipr/ress,swh:1:snp:6a414c96d220d92a311a1ce55282dc33b048d27e
38542,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00034,swh:1:snp:92a615fe70ba8f4b71aff8f7030c4202994f7531
38544,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00039,swh:1:snp:31c8582062018b7b180076e5d6e6d0954aa9002d
38545,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00013,swh:1:snp:7a0d94e73660bf6f31f38c92f39eaf7f71a3abb4
38546,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00042,swh:1:snp:b15f9942047e7d64eaf8f5dbde01b1231bd0b761
38550,https://github.com/CADmaniac/IbIPP,swh:1:snp:d9dc81befdc81e319e4573595310556f2eb04759
38551,https://github.com/michaelorella/droppy,swh:1:snp:72d1750f771b73301b7c323e854772fa7dd6728c
38552,https://github.com/ElsevierSoftwareX/SOFTX-D-21-00014,swh:1:snp:e306f6a07791fdeba7568149d32b9dcbeca6ab30
38553,https://github.com/USCCACS/MISTIQS,swh:1:snp:1a80753ce59b698a7ef85a9434d36c6a2e7b5ace
38560,https://github.com/byemaxx/BlastGUI,swh:1:snp:f914297c9a8b875d3468b2e0a47f265543c6a9dd
38561,https://github.com/wurmlab/sequenceserver,swh:1:snp:72b7d4891a01824bb79683137d972dc53b184d9f
38566,https://github.com/ElsevierSoftwareX/SOFTX_2020_31,swh:1:snp:056f5df848d1a58df7e8ca1c5887169ba41615d6
38567,https://github.com/lsmeeton/pyconnect,swh:1:snp:6a3eef56c77b4a44c94824fcbe551e89f3729c02
38568,https://github.com/ElsevierSoftwareX/SOFTX_2020_125,swh:1:snp:7f3b9e03ee1582ee5ce438037ee26e7183ed6bb1
38569,https://github.com/gwpy/gwsumm,swh:1:snp:f77f1820e81b98065d1843c066509c1223de0c68
38570,https://github.com/kmiikki/rpi-camera,swh:1:snp:68056979acb16e8413af413fc22640ad9d40c116
38575,https://github.com/rheslip/PyDSA,swh:1:snp:e8d24368f48fd7daa8e538f5663989ba1ea8a41d
45453,https://github.com/loli/medpy,swh:1:snp:1846055fee709df4e7cf8f22ee7dc685584edf9f
46072,https://github.com/Ikerlz/dcd,swh:1:snp:6f6745754e10753548e989208d355c2c3369816e
46281,https://github.com/tulliapadellini/pflamelet,swh:1:snp:ad787218bb9b9d737da527a90012f0553cc92bed
45784,https://github.com/GrammarViz2/grammarviz2_src,swh:1:snp:6486ac97eba9052d5859f0935232871fee645f2d
45281,https://github.com/lezzago/LambdaMart,swh:1:snp:1dfb4f4493b6a7a08a52b1c4be167aaa7748023f
45415,https://github.com/KULeuven-COSIC/SCALE-MAMBA,swh:1:snp:d81f8513b42d1e3cad4107e0d115672c3768e331
45278,https://github.com/GiannisHatz/LionForests-Bot,swh:1:snp:2f1b4430ec5b38ab8fc11f67a7edd262246d143f
46729,https://github.com/HoBeZwe/SphericalScattering.jl,swh:1:snp:746d74635d07db96707c002ff10a4c6cc2052e77
46557,https://github.com/pa-ba/simply-ratt,swh:1:snp:0cb676cda99d1c5994d23cd8f835e95d6cd2a41e
45419,https://github.com/Rod-Persky/pyIGES,swh:1:snp:6586ec51eebfb5ec4c7784442a70adce4815d981
46064,https://github.com/vpalombo/PANEV,swh:1:snp:5b7a1e0eb6558a39a42a62c07b92e3d8c0751348
46716,https://github.com/cran/RobExtremes,swh:1:snp:526494d214d070e8be83e59a24bd39fb65d3385f
46569,https://github.com/fmentink/fastExpm,swh:1:snp:765e29ca4cbdd7ab7dddd3d759aeb354044d6197
45593,https://github.com/lugimzzz/ConGRI,swh:1:snp:7338388b8e4c04ea5cc09655082a686bb1c790ed
45771,https://github.com/POptUS/ZOAdaQN,swh:1:snp:eda128d638bed0930a5f44c6c9c38ff85f06ae58
46675,https://github.com/cran/profoc,swh:1:snp:63401b215bd3b598346aafce062181a6b585d4e5
46801,https://github.com/jespermaag/gganatogram,swh:1:snp:0c4633db29867235ad85fb77e73e5639e0b47b02
45247,https://github.com/wasiahmad/PLBART,swh:1:snp:8c6fc6d58b4a96ca7566e76a7d9f8ecdddc874e2
46467,https://github.com/benedikthoeltgen/DeDUCE,swh:1:snp:9902b618ac4786b58d4749cdd4c8d367261773f2
45285,https://github.com/axel-bacher/mergeshuffle,swh:1:snp:84b5b299a3b675b5fa30d4ec75a63609513a7573
45622,https://github.com/psrenergy/QUBOTools.jl,swh:1:snp:9db66747d69269e7844aef5e3fbabfd0ca1ced50
45836,https://github.com/ameli/imate,swh:1:snp:aa6d3ecf27fffa7de2c9952fb9c44555efa9526e
46839,https://github.com/google/jaxopt,swh:1:snp:7b4cb84b544e708043177074d6ea5b738e5f61f4
45791,https://github.com/ElsevierSoftwareX/SOFTX_2018_32,swh:1:snp:b71781d06f44e00753e620df55f88411a20fffef
45628,https://github.com/joaquimg/QuadraticToBinary.jl,swh:1:snp:95ff4441c8c097c83b8eb11f90e71413599dd35b
45445,https://github.com/DTUAqua/spict,swh:1:snp:43bf6dec9dd2b2b29e5b78830c8ae159fa0613db
46743,https://github.com/schuyler-smith/phylosmith,swh:1:snp:75255b8c837c5a6c124af55dde55ff940eaed209
46582,https://github.com/flame-code/FLAME,swh:1:snp:c87b153a1c1024309b6ba080ddd688c2250969b0
45444,https://github.com/cran/sdmTMB,swh:1:snp:dba277dd72b658eb139a52c6c85b53be8d45084f
46069,https://github.com/boutalbi/TensorClus,swh:1:snp:8f68641bd0bd17d103e6e3cf41f41a8e1d9130cf
46332,https://github.com/KeccakTeam/KeccakTools,swh:1:snp:16c5b8815046fd5857dc007283723501ca782750
45985,https://github.com/yannicnoller/hydiff,swh:1:snp:5d4981006523c6a7ce6afcc0f44017799359c65c
46004,https://github.com/phoenixtreesky7/iders_dehazing,swh:1:snp:b65acdbb2e6c119cec9bcbb54be5f830c6f007c3
45742,https://github.com/asntech/intervene,swh:1:snp:7fe45aa7907eed10909ad359e3f5c9f09ac76b78
46129,https://github.com/JuliaData/JSONTables.jl,swh:1:snp:86fb9192147d5bf8d7c49c3aea4156c0907c14f1
46430,https://github.com/synthetik-technologies/blastfoam,swh:1:snp:d856886c25cfbf7263ef4f10940826416e3fc240
45606,https://github.com/wsjeon92/FP2VEC,swh:1:snp:448015d853ba49099ea56db93628f3136b367f05
46302,https://github.com/JuliaPy/pyjulia,swh:1:snp:220d8d145b0a1c24724109eecb66ba0f90370eaf
46215,https://github.com/dkamm/deepcoder,swh:1:snp:5f4530a8b83d21a6e6e5d03a420d59d414bcd43e
45707,https://github.com/carlosandrepaes/GaPP,swh:1:snp:12bdb0fce151b15d37af35558267771b40f70d40
45524,https://github.com/RecallGraph/RecallGraph,swh:1:snp:5303a897a1fd41e7984e2cb20668b15ca1094476
45268,https://github.com/HelenaLC/muscData,swh:1:snp:0b29dc2e1bfece4724f3eee09fa0ebf0b609bac9
46115,https://github.com/jkrumbiegel/DataFrameMacros.jl,swh:1:snp:aeef138dbfc04d81e6e4e40431ad3a4c317beb9c
45653,https://github.com/megvii-research/BBN,swh:1:snp:f4866ed7e4adfe2351d4eb91401a6237743934e4
45393,https://github.com/matrix-toolbox/CHM,swh:1:snp:bc0aaef4177ecfd9a2890892ffc406737916185f
46871,https://github.com/SciML/DiffEqGPU.jl,swh:1:snp:fbbd5290e87b9c93db088890514fdfcd5f77d851
45990,https://github.com/jamesuanhoro/minorbsem,swh:1:snp:fbd184cb3dc52a88239cea85ab20abc0cb57f29d
46755,https://github.com/neuroconductor/afnir/,swh:1:snp:b583015d424a982939512b8f80080969eb2a9acf
45351,https://github.com/mergarsal/RedCertRPpPrior,swh:1:snp:96168b9a7f233d5744e9098773f77efc44126904
45353,https://github.com/marcovirgolin/robust-counterfactuals,swh:1:snp:645502cf399ad93ba0fa973aa20d6d35a292949a
46835,https://github.com/chziakas/backbone-learn,swh:1:snp:d5781e4afe4f88038146035837fced301f19ec6b
45244,https://github.com/fgcz/prolfqua,swh:1:snp:d71f6bb71d8f95ac419ea514948c82967c4d0503
46446,https://github.com/saadgroup/BuckinghamPy,swh:1:snp:1fd37e17da5e0f57febeb133cdbdcc4fb56e49d1
46671,https://github.com/luisvargasmieles/ls-MCMC,swh:1:snp:e23b1ec0e50c13a349b9fd64940afb76e7cce237
46775,https://github.com/abagciphys/HyperRAF,swh:1:snp:4e257ebab0c6acb65603014895912408a2238473
46573,https://github.com/ethan-white/Minimum-Overlap/,swh:1:snp:8b26a44a7a8b4f111b6a2d4c31f65e3a45649d33
46680,https://github.com/SwagarikaGiri/Multi-PredGO,swh:1:snp:69b1da2e328e10f38d298195350289dc6db1eb52
45880,https://github.com/tuProlog/arg2p-kt,swh:1:snp:b6880f5234e6f2e7c8f6f2a0a99f6157fcaca9e8
45399,https://github.com/DES-Lab/AALpy,swh:1:snp:f86b754ccff69fa4dd3f0f745e704a069462b2bd
46253,https://github.com/JAX-DIPS/JAX-DIPS,swh:1:snp:aa9f78f58353a86345b4c040751e63d1d3fff1cc
46378,https://github.com/InkooLee/BSTN,swh:1:snp:8e126a6a15d0c5965fc59ce8e2598aced261e2ad
46719,https://github.com/HofstadterTools/HofstadterTools.github.io,swh:1:snp:25f1e55d2631aef9940246956b0bd01a4649d925
45373,https://github.com/wjakob/nanobind,swh:1:snp:89cf3eb7cf69265df08c1922977e36f631fc353c
45698,https://github.com/salesforce/PyRCA,swh:1:snp:5feef7778089a627f98b6b6172d6a23e12a45b60
46537,https://github.com/jmscslgroup/libpanda,swh:1:snp:51103f5510864703989e1cfc2dede8c78e4b53c3
45488,https://github.com/ORNL/Thermo4PFM,swh:1:snp:7914af0e16979e52cfbd49b7a4c1006c0a1581b8
46748,https://github.com/AurelienRoyer/SEAHORS-raw-script,swh:1:snp:f76bea4f1f2a3ba0256801547c9e058a976b0b4b
46567,https://github.com/pln-fing-udelar/fast-krippendorff,swh:1:snp:90eaf5376368855a9ff3c13fc39eb189a0441ca5
46491,https://github.com/rcdickerson/rhle-benchmarks,swh:1:snp:ffb8793c67ae2f8e64273098c0ae510fde4f4155
45264,https://github.com/tumaer/JAXFLUIDS,swh:1:snp:a784417e8bb625fc870dd961d4ed52c09c77519e
45623,https://github.com/awslabs/Braket.jl,swh:1:snp:abf3091052cdd23d990a63bef0e2491441def781
45618,https://github.com/rabeehk/compacter,swh:1:snp:550626ee04ba1576893e42f388f8e92dff401507
46207,https://github.com/fatimp/CorrelationFunctions.jl,swh:1:snp:95a72aeb456f341c319b74550e90548d8f837475
46146,https://github.com/cog-imperial/entmoot,swh:1:snp:fabf113e9fa65fcb99458bf0674eaa61aa92fe82
46858,https://github.com/BangyaoZhao/BGrass,swh:1:snp:e31c85db000d8822cf260fc2e8e75ea50369db72
46633,https://github.com/drighelli/SpatialExperiment,swh:1:snp:b8bd83fa9d0cf2731167a7ae910d64900e4bde72
45430,https://github.com/input-output-hk/musig2,swh:1:snp:a5b62b18a05cf9d8510a64b140728a5648859411
46918,https://github.com/maozirui/GSMs_book,swh:1:snp:41bbbbcb439ce9b393277ca3f0d2d654729f7fcb
46402,https://github.com/HighPT/HighPT,swh:1:snp:2bf44da673587aee73d39bb102632262be1eb030
45581,https://github.com/Extraweich/homopy,swh:1:snp:72f4863707def4832c9699fe10bcaca9829f8165
46576,https://github.com/billmclean/DGErrorProfile,swh:1:snp:ad7fcf951ba4fdef8aa3b77cb95be76515efd2bc
45662,https://github.com/harshangrjn/QuantumCircuitOpt.jl,swh:1:snp:f300a220ef13a723c915679b7dc1cd0ced01e591
46643,https://github.com/steffenmueller/QCMod,swh:1:snp:958c38b49f6e6e0b0bd1d0a919495305d11c8e39
45772,https://github.com/cran/frab,swh:1:snp:b21ac2584ff1f6ead94d9b5372411186bbf59baf
46286,https://github.com/callmespring/CausalRL,swh:1:snp:14c5a132b833b199c54d126dadab4ed2ed968703
46153,https://github.com/AMReX-Microelectronics/artemis,swh:1:snp:5c244ea2737b7bb5f10001b9ca8cefbbe136193d
46492,https://github.com/UT-SE-Research/iDFlakies,swh:1:snp:1a4cfb0f4a9b465d5dcc43a5428a844bc8706b2f
45658,https://gitlab.com/FxhLn/thermo-lp,swh:1:snp:e05bad15985ea2b9b601f34809eebe9a3a082495
45826,https://github.com/slatex/sTeX,swh:1:snp:9217063a9d69c6e0c996f2cd9109df9236c8d915
45831,https://github.com/QcmPlab/EDIpack,swh:1:snp:c07b085e54c25eaccd15f78106d53acbe8906867
45925,https://gitlab.com/cosurgi/SemiGlobalCpp,swh:1:snp:cd8617f279f667b59f7f7f14d382286fe594036a
46856,https://github.com/junyzhou10/clusterMLD,swh:1:snp:a97b771e4138161eab47d317b32719dba76461d3
45614,https://github.com/desResLab/LINFA,swh:1:snp:08edc242746febc63432b204114c9b50cb65875d
45313,https://github.com/flatironinstitute/cufinufft,swh:1:snp:c8727bd651b3f25f14307d6db20655546c7bd506
46635,https://github.com/galettof/Jets,swh:1:snp:4e712553c8ed4ffd831740edc0cccf31d6352588
45360,https://github.com/lmnt-com/diffwave,swh:1:snp:cb17e12ee56e0158e1d973e0483ebcf979b326ab
45303,https://github.com/edahelsinki/slisemap,swh:1:snp:bb19db67203e889fec1e7844a71a4e3e66793b47
45748,https://github.com/AlessioBorzi/TropicalToric,swh:1:snp:431099638b5f2d9cd726de1904d6a71b49ef5ec4
45671,https://github.com/SpM-lab/Nevanlinna.jl,swh:1:snp:643cf7a0825aff111d1f9df70ba2a1f477066458
46102,https://github.com/NREL/G2Aero,swh:1:snp:4f7736bd8ad77cb1e8512f84fb8b9169b64df743
30949,https://github.com/microsoft/CodeContracts,swh:1:snp:132f772ec777f507f7c2961ac8fefebbac5efbdf
30950,https://github.com/nadia-polikarpova/eiffelbase2,swh:1:snp:5140ac02935ed8ea864b154b9db31e5d272c41be
30955,https://github.com/bryancatanzaro/copperhead,swh:1:snp:67e9f1943008f4f04c73bd06540e459438f30007
30958,https://github.com/feiwang3311/Lantern,swh:1:snp:e62f7281857becf427500c9327b0163878868f78
30959,https://github.com/lihaoyi/macropy,swh:1:snp:f819faa3cd5c4a916709147534cce0387217b516
30960,https://github.com/hylang/hy,swh:1:snp:3b677b5f5c8c8c787b813f5e866b9ff4e021a3d3
30961,https://github.com/onnx/onnx,swh:1:snp:198f3cab7cb856aa2f0458c9df7380abaca20512
30964,https://github.com/clarencewxl/swSpTRSV,swh:1:snp:adb6680f1d239e29d4c8b977e62659a252dd1630
30998,https://github.com/flatironinstitute/finufft,swh:1:snp:bcbea938bdf1095ba58d1f52413a49eb29abf783
31004,https://github.com/mrirecon/bart,swh:1:snp:f9fc145a8373af5788f6d3606770cda528972d01
31007,https://github.com/galactose/wviews,swh:1:snp:7700ad2873e964cf3dfafe06a8e203c22baa0a8f
31008,https://github.com/hexhex/ehex,swh:1:snp:cef0d695c92e3862619bce33177f662acb5d0eb2
31013,https://github.com/iensen/elps,swh:1:snp:500384b4de38bfbbc79dff1a6c6985fb2f1f761a
31018,https://github.com/ontologyportal/sumo,swh:1:snp:859e0ea3e36f832cd74b4876aeb15f37e091dcc1
31028,https://github.com/Emmanuel-PLF/facile,swh:1:snp:66780b7aee04e88746409d42d8f6b71a3f2edabc
31036,https://github.com/cran/abn,swh:1:snp:3ed4d586bf09e20cc6a2413ecc82fe86d5afe938
31039,https://github.com/cran/DiagrammeR,swh:1:snp:37d26cfa0c3485f43d586747d141fa7b325ce55f
31041,https://github.com/cran/SpNetPrep,swh:1:snp:72f05c7ab931dfbf632ca8bb01cb8caead4acb47
31042,https://github.com/cran/crimedata,swh:1:snp:ff76be61bcf8b85ddd63b9d0ff9f325a5f9ff342
31044,https://github.com/cran/rFIA,swh:1:snp:4e2fd8e7bba1bdca4b7adf6321ae92b3089e0675
31054,https://github.com/thomasgibson/scpc,swh:1:snp:ee6481891723d227f6792766a37c649f7ac19b33
31066,https://github.com/paudetseis/Telewavesim,swh:1:snp:4bf4e66e3163bdf5d6da75946adf66577fa9bc8e
31097,https://github.com/ucl-exoplanets/pylightcurve,swh:1:snp:6d2cabe3a2b6eacd32513d10c2410e521a263a3b
31110,https://github.com/sola-da/NL2Type,swh:1:snp:ad8d012624ff51ce32b2e39b1056b02d7b9e6014
31112,https://github.com/getalp/wikIR,swh:1:snp:3880bdacfa59a96d1d6d106cc93aea9fda08f7ac
31113,https://github.com/python/mypy,swh:1:snp:ba55439d9f3905946947653882b365b4b57d60cd
31116,https://github.com/gitpython-developers/GitPython,swh:1:snp:24127e1a9f3f208c33fe3a25e479ac684a154f53
31117,https://github.com/cvangysel/pytrec_eval,swh:1:snp:aafc7b5fabec8ec091f494bbf9c22300ec478d16
31118,https://github.com/zihangdai/xlnet,swh:1:snp:0d30d9635bd413dbcb9bdc0a40ac46cb0b23d31e
31119,https://github.com/apear9/SSNdesign,swh:1:snp:6ef8cab9ff53a847485784f9a9e467afaaac2c01
31131,https://github.com/gap-packages/YangBaxter,swh:1:snp:d03e97142a0d53ebf46b97fab8af6de47120ddf5
31133,https://github.com/gap-packages/MathInTheMiddle,swh:1:snp:991c08ca00e91078418c24453372af11e3142d6a
31134,https://github.com/gap-packages/Memoisation,swh:1:snp:6398bb0849261914d2154535db20a358db8faf1c
31135,https://github.com/gap-packages/unitlib,swh:1:snp:372f90db287c00231e88fb376cbcf05c2458eeaa
31136,https://github.com/gap-packages/BlissInterface,swh:1:snp:fc02414dc08fd8233ffba5a5aea4a247150b2d59
31138,https://github.com/gap-packages/FrancyMonoids,swh:1:snp:13e9cda8bb6d17e65c9283c2d70f7ce26da4eaf6
31139,https://github.com/MWhybrow92/MajoranaAlgebras,swh:1:snp:c6451de20243218a284ae4d198c83c877e68dcf3
31140,https://github.com/nathancarter/semigroupviz,swh:1:snp:ef28e15887eba128ec4d63a6a2fe3866ff6ca2d3
31141,https://github.com/gap-packages/LocalNR,swh:1:snp:0a020a0e6f0c55037fb506173c364792b312ad24
31142,https://github.com/gap-packages/MapClass,swh:1:snp:2e86a9817733d2cc8c8b28ca86440aab1aa2ed1b
31144,https://github.com/probprog/anglican,swh:1:snp:d8b4c4db0d034960b3c1741f612611a9f32e1d1b
31145,https://github.com/probmods/webppl,swh:1:snp:3af1a03cd091600016317ad7197cfc7dfd1319c7
31146,https://github.com/probtorch/probtorch,swh:1:snp:f94046bca087c7aa64babbb3924736e795f63a15
31147,https://github.com/veitelser/rectified-wires,swh:1:snp:ea7d712d8df67ee404322a73d48e19fc71c635c3
31149,https://github.com/re3burn/DGA,swh:1:snp:320698877d9334ebb0e315ba773a2e60176e39af
31150,https://github.com/chainer/chainerrl,swh:1:snp:e6f03311bf95837f0342c53ff6ffcdd261f04a9b
31151,https://github.com/google/dopamine,swh:1:snp:f70439cff52294031433170d1ec8e8e6e8a53193
31152,https://github.com/astooke/rlpyt,swh:1:snp:4b3b9bdaddc902ea0744c44bbaf294823b267c8f
31154,https://github.com/catalyst-team/catalyst-rl-framework,swh:1:snp:3a2c02a9be4f93c5ace282b27943f7ba0bba4236
31166,https://github.com/stnava/ITKR/,swh:1:snp:15c6d2e21b9a5f3d4ceb287153e1cd07c7637925
31201,https://github.com/NVIDIAGameWorks/kaolin/,swh:1:snp:720d1a26e0ada9e3723b882b1cc42339dfe59e40
31230,https://bitbucket.org/charms/blockpr/src/master/,swh:1:snp:0355ae09c188fdc92f964aa8fd9df87d982d7860
31240,https://github.com/markovmodel/PyEMMA/,swh:1:snp:9f4d0c7cea5a440a5fa769e6e30093c2dbd7d743
31250,https://bitbucket.org/JosieMcCulloch/fuzzycreator/src/default/,swh:1:snp:a547425a3b693457bb575d9941f2f1131c5f36c5
31256,https://github.com/cran/qrmdata,swh:1:snp:cbee52c463832241eddc3b209f983195661ff200
31257,https://github.com/cran/ClusterR,swh:1:snp:a3224c0f6a9177e7f3763087f2d4a0c0b4aafaa2
31261,https://github.com/nelsonroque/tsfeaturex,swh:1:snp:bb6dc67da204835bee77df702f8288080e4991ca
31265,https://github.com/cran/TSVC,swh:1:snp:a3a163f07e4fee469cb911d8fb85a3bebc66680b
31267,https://github.com/simetenn/uncertainpy,swh:1:snp:8bb2149975efdb0dc8c1df66b7a2c97b7f47ffd7
31268,https://github.com/dpzwick/ppiclF,swh:1:snp:4ef87865eb6b73c64695f21495dd7ad1ddd9f062
31269,https://github.com/arviz-devs/arviz,swh:1:snp:9e1732f3d5d39fc96ef9ce54a077ccce7da37bce
31272,https://github.com/vikramsunkara/PyME,swh:1:snp:d667a1d10a5448e0d1fe09438122b2c6a2654c05
31273,https://github.com/highlando/dolfin_navier_scipy,swh:1:snp:fabaec26d53d035bb5a42b24b0feb87232ac3dc4
31277,https://github.com/scikit-tda/scikit-tda,swh:1:snp:07abbce9cb0f3fdf0fdcb383a5a0960e6cf74627
31287,https://github.com/LEDAcrypt/LEDAkem,swh:1:snp:1b6c5081a9a38b819ea21db1920b7de7ee4315a5
31289,https://github.com/OpenIFEM/OpenIFEM,swh:1:snp:da6f22d6cbe8972aac00b34968cebe0541e3beb2
31291,https://github.com/OlafenwaMoses/ImageAI,swh:1:snp:06cde01ba51dcd3bafec29525c01afca0fe75a88
31292,https://github.com/JuliaDynamics/DynamicalSystems.jl,swh:1:snp:9e65727e431837e1bb86a47b8c2119596c459d8e
31296,https://github.com/nagygp/UnitalSZ,swh:1:snp:f8c3d8bd45b65b6319f774c07c8a2bea1b9f8b07
31299,https://github.com/stacks/stacks-project,swh:1:snp:d4e27fe1a6f51f572cda867c9ced17a5fabeb962
31301,https://github.com/mchalela/GriSPy,swh:1:snp:b8d1e969622878090f8bd325f488c9151e25366f
31303,https://github.com/liuq/QuadProgpp,swh:1:snp:ad2579d016ad4e8d687ff669617387bc2b3f3c8f
31304,https://github.com/appliedtopology/ctl,swh:1:snp:67c02acb2156d683501714074695885bffbb4666
31568,https://github.com/cran/RobStatTM,swh:1:snp:909dbf627ebc6e3ab4474781869b91f0b0b960df
31569,https://github.com/cran/catspec,swh:1:snp:745b4dcd8f322fff4536548f40898693db622c07
31570,https://github.com/cran/descr,swh:1:snp:21a6e90e1a6607d4906744bf3582e9d1cdce5a74
31571,https://github.com/cran/exact2x2,swh:1:snp:b65c91938468e61e0808ffc883dd2c3706e932c2
31572,https://github.com/cran/hypergea,swh:1:snp:e9f65bb83dc1c24210c7201511a66e29e2af113b
31582,https://github.com/cran/icensBKL,swh:1:snp:b2d2fd6a37f6d02b0ed0d3809a6d201c2a212cea
31594,https://github.com/julianrosen/mhs,swh:1:snp:ac864dcd7352d6b7499f5e0ef21ecd4697ce53bd
31596,https://github.com/cran/gWidgetsRGtk2,swh:1:snp:1c81953e84c983d7aada011cd099d455c07827f3
32635,https://github.com/cran/portes,swh:1:snp:7cc52aad64ba0127ea91f386c608064258fabbfb
32642,https://github.com/cran/restlos,swh:1:snp:b4dda281a3edc12426f1121c746bb2e6a5fefdad
32646,https://github.com/cran/MaXact,swh:1:snp:b78d4d3f709ffc04d8a8e868a1cf35bca086a979
32648,https://github.com/cran/FlexParamCurve,swh:1:snp:75f1bb78d7524a5364899829290c4a04a85921f4
32659,https://github.com/cran/NominalLogisticBiplot,swh:1:snp:dcfa7b9a63f7bada3c2bb5df683d2c4c0fca059e
32662,https://github.com/ElsevierSoftwareX/SOFTX_2018_37,swh:1:snp:7b97b651c004b68ce5a8c115a05cd4f2eeedbfe9
32664,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00019,swh:1:snp:462b0fe21be18599ded6b7d9d19c71846e06d7fd
32666,https://github.com/mlucio89/CUPyDO,swh:1:snp:397f187cf4d98f1082122e2ba2414a68cfe3c03b
32667,https://github.com/MattiaMontanari/openGJK,swh:1:snp:f4a533adf5719d68819dbcdb9f92a3158cdb1f43
32668,https://github.com/agladstein/SimPrily,swh:1:snp:ae5d48a6fd66cac48662dd9689976566939f5be4
32669,https://github.com/christianparobek/skeleSim,swh:1:snp:25d63dc3eeee6d8218d19e0f011229cfb843d053
32672,https://github.com/eamontoyaa/pybimstab,swh:1:snp:8804c54b6ef6d2adc62668a2822f47339d731e04
32673,https://github.com/aarizat/pc4bims,swh:1:snp:dd44c36a82cfe492bfaed4660e49d740547c0a60
32676,https://github.com/flr/FLCore,swh:1:snp:9ac3e524481bad8477f7e1ff176ca82b5f170cf6
32677,https://github.com/flr/FLAssess,swh:1:snp:8b581e373c3dc5e25be57a9c99793b8517027d13
32678,https://github.com/flr/FLFleet,swh:1:snp:4a7698ea7c7ac5f20eedcfbe9d5c8142d32b1117
32679,https://github.com/flr/FLash,swh:1:snp:560ad1bba00fa5dabf55e9e0c77b1195789bd6a2
32680,https://github.com/pvlib/pvlib-python,swh:1:snp:be8441324f69d5f8baa360a03510d6dd931d6f62
32682,https://github.com/glotzerlab/rowan,swh:1:snp:e7add09044dd365b82e71e326f2a8b1a0e46187b
31308,https://github.com/caseywstark/dimensionful,swh:1:snp:eaf0082426b92cae87de58faebac5eda3553536a
31309,https://github.com/AlDanial/cloc,swh:1:snp:2a3fdc9d31f6faa81350caf5f225361a266a8770
31310,https://github.com/pbrady/fastcache,swh:1:snp:c9f5d6f8edd80790fd8068cbdd896f50cae7733f
31312,https://github.com/cran/bpnreg,swh:1:snp:26c69ebc7a3bb49fd702c6b7d25b8ba3d6ed87ca
31315,https://github.com/cran/Wrapped,swh:1:snp:fcb4e2f28ca5168046437daf79d7031c4e84ae71
31323,https://github.com/kusakehan/CLEMM,swh:1:snp:f55ce32c9af40974f5c8ef0552d468ba27cd95dc
31324,https://github.com/zeldow/semibart,swh:1:snp:a7a240424aa51e8e0f73e89bcf2ab81c0f353a35
31328,https://github.com/FabianRathke/fmlogcondens,swh:1:snp:817650c334912dc8ed61836b9f7a3cc8f7d72b14
31331,https://github.com/sara-vanerp/bayesreg,swh:1:snp:283984e08604283790aa4aef7c3150fe3dc19ab3
31335,https://github.com/cran/CARS,swh:1:snp:fae7017aad7a20d2943b3739f98d065eb79f3356
31337,https://github.com/cran/hierband,swh:1:snp:472da644aa2313f888700036d6ed75f99c7c7238
31339,https://github.com/cran/kernDeepStackNet,swh:1:snp:12bc08a0cda3bbf394c3647eaf27f89889da2a21
31343,https://github.com/vinecopulib/pyvinecopulib,swh:1:snp:fddc5cab71cbb56780d51403a96e8f41e2c89d14
31345,https://github.com/cran/vinereg,swh:1:snp:294d00be6281cc218cac2e23d1d953e8c0a01a38
31350,https://github.com/cran/GNAR,swh:1:snp:80264a0d935201ac94efe76e3a83443f16b27942
31351,https://github.com/jtksai/PyCOOL,swh:1:snp:dfc95f2e6f61a8c6b75d80acfa17b77dc6b38dce
31352,https://github.com/cran/nlr,swh:1:snp:7737c85aa80485f5173469d2479d89be72c427ba
31353,https://github.com/jrzubizarreta/scbounds,swh:1:snp:4b497c418bc672f925768ca226f3be6107a64eb9
31367,https://github.com/guykatzz/ReluplexCav2017,swh:1:snp:45df0d59ed20a7382c55d45519b538583d52a1c1
31369,https://github.com/ucbdrive/skipnet,swh:1:snp:683faf9fbefa97f9663e432f9a0e0cfa2544a943
31598,https://github.com/dj-on-github/cleanhex,swh:1:snp:97f545080755f86f8a82e3fe8dadeb0b9d0a7dcd
31599,https://github.com/dj-on-github/quickrdrand,swh:1:snp:dd71478589a8ae8912d33d238b8b9ff1f5ce765b
31600,https://github.com/dj-on-github/djent,swh:1:snp:8e4a949545008bf481c3326a74a5edfc97080fa3
31601,https://github.com/dj-on-github/RNGBook_Code,swh:1:snp:6c58e764cc80f28e7ae710b84d3d9b4c95ff939a
31602,https://github.com/martinfleis/momepy,swh:1:snp:9aa79672c0c154d71b365e91cee3f8dfad96e407
31604,https://github.com/TomasBeuzen/pybeach,swh:1:snp:13855c4b4e4500f5eca173d28dea1b40b5f36700
31605,https://github.com/kvos/CoastSat,swh:1:snp:363da7b34527e05d911f7aa2dc11a83ad0017204
31607,https://github.com/dbuscombe-usgs/pyDGS,swh:1:snp:44b5e4eb7251b4ca680727923e91bb2ee394f4b2
31608,https://github.com/simmonsja/CVNetica_VS,swh:1:snp:8e6252989d7ea435e5759e3eb50618cae87231f0
31611,https://github.com/cran/tabula,swh:1:snp:c2509029559ba1eaf090c7fe820d895fb4caa988
31614,https://github.com/cran/mixggm,swh:1:snp:410afc0a83fb72f39f527a367efaf1c22aff1292
31616,https://github.com/venelin/SPLITT,swh:1:snp:531134ae8d5bc22999d282879913d6ac7c05e56e
31617,https://github.com/cran/git2r,swh:1:snp:2a9ddd929867e4c997e76641a10744412696e99a
31618,https://github.com/venelin/PCMBaseCpp,swh:1:snp:f17347cc8d66719925e16c73b73e9073ad48999a
31619,https://github.com/venelin/PMMUsingSPLITT,swh:1:snp:6a689a9ecf435b2852fd94ee71e5eba00f74e87d
31621,https://github.com/MultiBUGS/MultiBUGS,swh:1:snp:9031f0d88ff02df8f37c2cf146d6165e3834e8d9
31625,https://github.com/cran/binnednp,swh:1:snp:bd338491a245c00b8772c84b3fe1a06a1b30d545
31631,https://github.com/smremde/node-lp_solve,swh:1:snp:c3ca9cb0596d3d7f8c95fbc2ebaf2d0995580bf6
31633,https://github.com/jvail/glpk.js,swh:1:snp:06aa2ecf50485f4cc789c6fd58a335b20035300b
31634,https://github.com/jvail/spatiasql.js,swh:1:snp:2d0775f25280c44b8f353b281e47fe0def9d9994
31635,https://github.com/JWally/jsLPSolver,swh:1:snp:301923b66c94383fcc64d553a129e63210561826
31645,https://github.com/arminbiere/cadical,swh:1:snp:820364efd78e2868ac213dd98f94759993cd604e
31646,https://github.com/plofgren/fast-ppr-scala,swh:1:snp:195d5fe1ca71b187dc94b357c675d2453fb51e38
31648,https://github.com/ralexx/LexSemTm,swh:1:snp:e10e63683adcd5063308f7085b533f358cdeaa8d
31651,https://github.com/T-Obuchi/AMPR_lasso_matlab,swh:1:snp:629cf61a342d46d081d00651eb933475d7a42ed8
31655,https://github.com/MartinAverseng/EBD,swh:1:snp:5b44dde12a12503b7153f0f70d090202c46ce379
31660,https://github.com/clagiamba/moloc,swh:1:snp:3b895d9f06ac91bfba0ecd7a11cc7a0091578b0c
31662,https://github.com/sbfnk/fitR/,swh:1:snp:7508517407485069c05820a6567b12b00006008b
31707,https://bitbucket.org/mlindauer/aclib2/src/master/,swh:1:snp:6c7b3293a327c614ab2d107a823fe399e2efadf0
31768,https://github.com/aquynh/capstone,swh:1:snp:a56f6843c5bd6311709de432a9e6acec1fd32605
31775,https://github.com/rienq/liftedCollocation,swh:1:snp:b6563f6923a85a2a91b7eed4465c82508ad9c761
31776,https://github.com/juan-pablo-vielma/extended-MIQCP,swh:1:snp:4ce345c7e450cf50d8a5ee75b120fb121f06aff7
31777,https://github.com/mkoeppe/cutgeneratingfunctionology,swh:1:snp:b5f02e048bf5185871ae0b39528de8f974ce9c5e
31778,https://github.com/CSCsw/LivarH,swh:1:snp:7d8434ce4a94cbb2f381151483ea763b10a09e88
31780,https://github.com/djanka2/blockSQP,swh:1:snp:11653eaa99bda2d52352db82781ac9671033dbb2
31790,https://github.com/felipebravom/AffectiveTweets,swh:1:snp:3f48c72a24d082d3c4f9f154b4420ac7d12b15a9
31792,https://github.com/scipr-lab/libsnark,swh:1:snp:caa1e463db0b1e95c35601ce4ed32321e513f9b6
31793,https://github.com/scipr-lab/libiop,swh:1:snp:a8242ab999f6d93930ee07fbb8dd5c961ff4b458
31794,https://github.com/fplll/fpylll,swh:1:snp:8a8a40740d2d866b0e337055ff10c16ed7c120f7
31795,https://github.com/riusupov/rebecca,swh:1:snp:4006f8e57256a7ac54748fb8951941a7c8c38ae5
31799,https://github.com/keyinst/keypy,swh:1:snp:61061335ccc6e49d2d593db74f9abc120d486e2e
31801,https://github.com/vguada/FindBounce,swh:1:snp:12a43dee22544a2a72233d50035ff462f7ca47bd
31802,https://github.com/rsato64/SimpleBounce,swh:1:snp:9603ff1cb1549b9f7f69aa904ad49f6757748672
31803,https://github.com/bubbleprofiler/bubbleprofiler,swh:1:snp:bfb6027b8b427077f9c7ae2bb2367081dff8a71f
31805,https://github.com/harvardnlp/pytorch-struct,swh:1:snp:9cc0e3167b4fe00e025216176ca054bb537f600e
31806,https://github.com/iLCSoft/MarlinKinfit,swh:1:snp:b753e72746436f74aca8b7eaead86cd347b5c1c0
31808,https://github.com/cran/RoughSets,swh:1:snp:be05930249b789cc7e41dc8b715e10ecfe964917
31818,https://github.com/FenyoLab/PGx,swh:1:snp:27a1a74983bf73135b3ceceb69ee6da45773f51a
31819,https://github.com/GregorCH/ipet,swh:1:snp:d2e3e0c8ed6203b33237f032ec240c7877649833
31821,https://github.com/lauren897/Optimal-SPCA,swh:1:snp:e2584ea1343c144f8b580feb2a43fccdee60a40d
31822,https://github.com/TobiasWeber/QPRefinement,swh:1:snp:8e92e0d57ba6c96dff82bddb0b2ea948e84e498a
31824,https://github.com/unc-optimization/SieveSDP,swh:1:snp:40c75562fcbee221238ddbbfe31674c1855ba491
31835,https://github.com/bayesball/ProbBayes,swh:1:snp:1576bb346c409cefd4015e21a928eb9c2252baa3
31838,https://github.com/dccastro/Morpho-MNIST,swh:1:snp:15a382147fed8cbdccdff8384a435d3fa467d849
31840,https://github.com/deepmind/dsprites-dataset,swh:1:snp:61ed13001ea5dee1c6906abaa4719f8e12c8a6ca
31841,https://github.com/minghz/capsnet_affnist,swh:1:snp:f0f185176696c41df2fb6bd828a05f7152e849f2
31842,https://github.com/zalandoresearch/fashion-mnist,swh:1:snp:136a6ec7212b37aaf8e0061ca86328aebfebbca9
31843,https://github.com/Waikato/wekaDeeplearning4j,swh:1:snp:df973e7e9c3668cf35e84df4e5e914de3089113a
31845,https://github.com/udcm-su/NTMpy,swh:1:snp:0b4d9b0834d2dc9fb0f45085de2d0d00623143a6
31846,https://github.com/gugarosa/opytimizer,swh:1:snp:ab5f8d262df38b351aee73964ec3c603a6eab11f
31847,https://github.com/jppbsi/LibOPF,swh:1:snp:d12e1cc8e734903824378c571b93abea4cf96584
31848,https://github.com/tadatoshi/metaheuristic_algorithms_python,swh:1:snp:7e917012bd1b46229c07e896b737653a44d4b7dd
31852,https://github.com/Toblerity/Fiona,swh:1:snp:ec513d40126beb1636445e43133f14a161f9e0fe
32598,https://github.com/oist/Usiigaci,swh:1:snp:d43c9641e81a521d784b24d44fb686fe84db1e55
32602,https://github.com/ElsevierSoftwareX/SOFTX_2018_257,swh:1:snp:f14c4179546ac384c859dc2db1ebe91ebdc8fb3b
32603,https://github.com/ElsevierSoftwareX/SOFTX_2018_19,swh:1:snp:2f6a4c5911a7fff2ab14d52628695b9a126eefd9
32604,https://github.com/OpenChemistry/tomviz,swh:1:snp:fa181db37eb5992dff6cae7a55d982495eabdba9
32605,https://github.com/ufo-kit/syris,swh:1:snp:beca3d0a19ab8d48b5847564d1760cfabe9a8b46
32606,https://github.com/ElsevierSoftwareX/SOFTX-D-17-00085,swh:1:snp:e5244096ddbe0a388473e564bc198440b4e4163c
32607,https://github.com/ElsevierSoftwareX/SOFTX_2018_40,swh:1:snp:4256ff81e3a4d8e9f1ba956f38ffd35e2b2d6b82
32608,https://github.com/rgutierrezl/BedformsATM,swh:1:snp:c2965d01b96ce160e584049b4c0826bd244d095f
32610,https://github.com/Nemocas/AbstractAlgebra.jl,swh:1:snp:f582d7744fd4a236ffeadd9134b50c38e6f71e8b
32611,https://github.com/cran/island,swh:1:snp:2e8ff8bd9eda22c9d69a17c6e1deb819c23687b0
32613,https://github.com/cran/progress,swh:1:snp:a232faa8702b2dd62223eb0f27e6502eea1c9dec
32618,https://github.com/LeXMSU/Quadratica,swh:1:snp:3e4f37edf438feb6041351c1a5ec18e276fe1d04
32627,https://github.com/Prograf-UFF/TbGAL,swh:1:snp:b7dd03cd82171cc2f1881dc7dc2a12b9abc1a63c
32628,https://github.com/evcastelani/Liga.jl,swh:1:snp:66e3ed47f3406d7297b8374cd17e1f096dd2099a
32629,https://github.com/laffernandes/gatl,swh:1:snp:9a68bc99413f5a73aaf328a0b124d6a0b05ae4a9
32631,https://github.com/pygae/clifford,swh:1:snp:97f8702ae88ab9fdb411602e119eba6bfafdec11
32633,https://github.com/cran/QualInt,swh:1:snp:a577b0c8a4f18562c53c62e11caf518c3d68638b
39801,https://github.com/jetbrains-research/pynose,swh:1:snp:efcb2669d6faa5f14080afb53f062add57c345bc
39802,https://github.com/JetBrains-Research/python-change-miner,swh:1:snp:6b9625696a59332eadda2975ca963d7ea4850d4a
39804,https://github.com/arieslab/jnose,swh:1:snp:bbd9a9065c6bd00ad6c6629bc424b76a4adb7623
39822,https://github.tel.uva.es/juagar/qoptcraft,swh:1:snp:8649039c380d3b624b3036969833692994ae2e82
39840,https://gitlab.com/marinvaders/marinvaders,swh:1:snp:6e74c4e10d9283023e48f750ec90a1c765d14216
39842,https://github.com/cloudcompare/cloudcompare,swh:1:snp:b283222bee7b6839ede8a1def50608be2746bbbb
39844,https://github.com/GuangpengFan/AdQSM,swh:1:snp:f6e54fa347f11ffa0c1fb1d83710a71ccc358a3d
39846,https://github.com/pmp-library/pmp-library/,swh:1:snp:737ee7e9f78b3768e7fbfb14d80b4fce97058ed7
39860,https://github.com/nluetts/NoisySignalIntegration.jl,swh:1:snp:945931fbd6c45992e8ecbfb4837afa15923855bf
39861,https://github.com/esa/torchquad/,swh:1:snp:e164111c25d8607e2c3336ce9b7420bbd6501d3f
39862,https://github.com/IMMM-SFA/diyepw/,swh:1:snp:689cc4f5dfdaa74280ba3fe20a99fcc57211a27a
39863,https://github.com/PeerHerholz/BIDSonym/,swh:1:snp:46578742cbfe3b2f79bc286dac7f5b91024cf12e
39865,https://github.com/DeltaRCM/pyDeltaRCM,swh:1:snp:1c18127ec431b1195a7df0afa453f82bfd171b28
39875,https://github.com/jamesrhester/DrelTools.jl,swh:1:snp:92c3c92fcc78ee4ef4a86558e55d8b5d48e2f737
39877,https://github.com/SciML/DiffEqOperators.jl,swh:1:snp:506d453411440164195d55c7b80713166e409ca5
39903,https://github.com/DeltaRCM/BMI_pyDeltaRCM,swh:1:snp:ba519093895bb1474a0cdebf81ae96b2954e986a
39920,https://github.com/j-bac/scikit-dimension,swh:1:snp:2242d6db902ba0d3ab510ef0787fd8dce5708664
39927,https://github.com/YakshHaranwala/PTRAIL,swh:1:snp:0d0152440aa999614b4ece98b3500295c5a77c0d
39929,https://github.com/MichaelisTrofficus/hampel_filter,swh:1:snp:b4a06338a6c1a26d4afc81248e263816994e5df5
39930,https://github.com/crhea93/luci,swh:1:snp:f1dd08750de7d55c86b64945170f1fde1bd66c87
39949,https://github.com/ajinkyakadu125/CoShaRP,swh:1:snp:829328de41305e7ed5c144ee7cd6d92afabd28da
39974,https://github.com/Zafiirah13/meercrab,swh:1:snp:0396cd1ea2f44777555d5e348994c61237790f6a
39977,https://github.com/Zafiirah13/FRBID,swh:1:snp:071163b48eeef3055468e1a467930f6832651d58
39986,https://jwgitlab.cs.mcgill.ca/cgoliver/rnaglib,swh:1:snp:be93fa71b3838991de1a29f87a26e0ceeb3c9472
39990,https://github.com/sed-szeged/CharmFL,swh:1:snp:d59c63a7ce44703a9017dcaa04583a29a881fc13
39995,https://github.com/Generalized-SBFL/pytest-pinpoint/,swh:1:snp:e143ac6486b30a10f9b9505d24a246a0dab3e559
40023,https://gitlab.com/wdnetwork/wdnet,swh:1:snp:5553160545457c4e9308325dae43790fcfc1b37b
40068,https://github.com/ArtificialStellarPopulations/ArtPop,swh:1:snp:07c97b36760c20555291ff9fcefe510a464d5c96
40085,https://github.com/orbisgis/geoclimate/,swh:1:snp:d1f1fc592b22b2bd99ab4923938e3d22eee7e480
40092,https://github.com/wangjie212/ChordalGraph,swh:1:snp:86d149ba250a51cc8bf6b1f2ad8345e9337fe4ef
40098,https://github.com/N3PDF/pineappl,swh:1:snp:8eadf695ebb5bf770b1fd851e601aee476edab6f
40099,https://gitlab.com/caravel-public/caravel,swh:1:snp:bb5534d0104ea70df4811710a56ffb97fb59f030
40102,https://github.com/hsaadaoui/bnmroffice/,swh:1:snp:ca270990f8956e037c9e810c2efaccffea11fc2a
40111,https://github.com/rajasagashe/juice,swh:1:snp:c73ad312fa37a165002d76773c459d8268f02fd2
40123,https://github.com/myxxxsquared/NLocalSAT,swh:1:snp:81e8c47b6d300c4129676b64cd9ca04d57e130ff
40140,https://github.com/Microsoft/PTVS,swh:1:snp:88a886ddd22f4cf5bfcc46cd492e85799a847560
40156,https://github.com/fcaprile/PyFocus,swh:1:snp:83db501c6042d4f7d25da103675dadf92a157b88
40166,https://github.com/Aura-Healthcare/hrv-analysis,swh:1:snp:ff1d101d6ab13e16d754c26bd7409c2aa8469804
40167,https://bitbucket.org/okapiframework/okapi/src/dev/,swh:1:snp:51f922275d96eda7347da1a83bd70d431651e1b6
40170,https://github.com/wwkong/nc_opt,swh:1:snp:4db839e601e0826013202227b2785949c30a4a1e
40201,https://github.com/rtavenar/cydtw/,swh:1:snp:60723e6d0d23b0ccbf21fd0d4258f0db2fdefbfe
40226,https://github.com/moreno-ursino/MADF/,swh:1:snp:0f877e68b39c46695532b8609d04e96076b9b921
40235,https://git.scc.kit.edu/uqcreator/UQCreator,swh:1:snp:a8da2b08f2a50a53a0627a3276c16d0d7bab7da9
40239,https://gitlab.com/pika-lab/tuprolog/2p-in-kotlin/,swh:1:snp:1ab35c52d25c1d708badd05e0f5b1a3980af6caa
40241,https://github.com/boeleman/quantimpy,swh:1:snp:a8a996c0d1b5ce85db4e776b36483be0bca43770
40245,https://github.com/TuCSoN-Coord/TuCSoN/,swh:1:snp:2ab797e1e23b6dee8c82d8021bc110f987303d86
40247,https://github.com/CoordaaS/TuSoW,swh:1:snp:22973022659982538971f175f01f9df0eaaf7c36
40269,https://github.com/JuliaStats/Survival.jl,swh:1:snp:838b8c29a71f7d7e46f6f6e734479a08b27a4102
40320,https://gitlab.gwdg.de/nam/ProxPython,swh:1:snp:bbae7edb54359bbaefc27c30015c074e36ac71b7
40340,https://bitbucket.org/lhdamiani/fenics-reaktoro/src/master/,swh:1:snp:468a1639759343c52c210a76fc4587d71d22766e
45249,https://github.com/xnuohz/DeeperGCN-dgl,swh:1:snp:5c0ea918c02c979053c345838a411ded3d7e1b64
46431,https://github.com/IhmeGroup/StanShock,swh:1:snp:28ca0d4bd5b94a411ea2882c8abbde646ec614d4
46021,https://github.com/cran/lifecycle,swh:1:snp:8fcc5f0e390327b67de66695cabaedb5ad0e6078
45998,https://github.com/trolando/oink,swh:1:snp:0513568a81eb13bf652c98ab38dca899dd5144b1
45629,https://github.com/jump-dev/DiffOpt.jl,swh:1:snp:36e81749018004e8a223bbd36dfc6c760c2afccb
46017,https://github.com/cran/nlsMicrobio,swh:1:snp:c11b1e713ce52c563b1bc014da0db90feee2afde
45467,https://github.com/emsig/emg3d,swh:1:snp:3957eb6a1d4b3c883f03eccafa668c1c7d7d55b4
46575,https://github.com/pkomiske/EnergyEnergyCorrelators,swh:1:snp:f13141eb2da63c8aaea362eed66f422291c4b0b0
45541,https://github.com/EmuKit/emukit,swh:1:snp:564dd864e78a441905c445ce47ea69007798893c
45571,https://github.com/ChaitanyaBaweja/RotNIST,swh:1:snp:904c2e6ee2ad83f32017eb7b1494f7a8427612c7
45944,https://github.com/subhadeep-banik/orthros,swh:1:snp:c8bf6c0881b61285d4bc3664e11ee6b1897ffc4f
45414,https://github.com/GaloisInc/swanky,swh:1:snp:f64658c434f9c9a23b194be595f31f06b534404a
45651,https://github.com/cvl-umass/semi-inat-2021,swh:1:snp:ed2d4771b9e80f0e6cfc78ff5f6d41336bbe47e6
45703,https://github.com/dstndstn/astrometry.net,swh:1:snp:352acae9a8df62d52c74cce4f41230373896fcad
46782,https://github.com/muschellij2/bftools,swh:1:snp:45c9808e849921a9d1a23060768c897a143ec2f1
45271,https://github.com/lmweber/HDCytoData,swh:1:snp:7d7946aa118abb24d9c324eacc00f4256963e05e
46217,https://github.com/gintool/gin,swh:1:snp:57a964a0d414509152c0a87fb4e958c1d92b13ba
45758,https://github.com/adrn/gala,swh:1:snp:8907b2b0600adf46af863a556d34f9f0375abf7f
46727,https://github.com/romerogroup/MechElastic,swh:1:snp:46dda33e18a1cdec894dd3b5bc0280c3b2f7647f
46040,https://github.com/naplab/naplib-python,swh:1:snp:4dab32b02834253f551738b28f4de931c0d219be
46441,https://github.com/ZIB-IOL/CINDy,swh:1:snp:5e1c0fdac9a22e1b229494cdeb46c54addc47445
45245,https://github.com/justinphan3110/CoTexT,swh:1:snp:452586402043d57618f943f3f957982f077ef059
45539,https://github.com/tiwarylab/amino,swh:1:snp:edcf97eb6f5a2c960d8453e8f1c0c653854a5afa
46298,https://github.com/MilesCranmer/SymbolicRegression.jl,swh:1:snp:5c624d5dc1ae93b744eb29155ef70b8287f01dd0
46420,https://github.com/tomlof/OnPLS,swh:1:snp:30abfc5c4ed5b98b33fe58268814dc95983f74ad
45849,https://github.com/bfabreges/ConditionalDistributionForest.jl,swh:1:snp:1a33bebacc345023e3e3b145f6ecb63d9b4b09e6
46744,https://github.com/mikemc/speedyseq,swh:1:snp:7294fec708f4ad5a95e67939403d4117822e679c
46498,https://github.com/mpc-msri/EzPC,swh:1:snp:a263978c21b29c139b8f788efbb5897dc40d3138
46542,https://github.com/cran/pesel,swh:1:snp:3c2d5d1dd97c6c9c98ddd93fe57ac60f0add64fc
46687,https://github.com/cwentland0/perform,swh:1:snp:5e264533b300fbd148a9dcbf0494a1eb36b60998
46611,https://github.com/TopoXLab/GPU_ECC_SoCG2022,swh:1:snp:02c0544438c523d46c96203836c12f62c406c3ff
45708,https://github.com/dparkins/CosmoNest,swh:1:snp:cc8a95f0347de5c90b81de8951bb89d041a45c8a
46295,https://github.com/sylvaticus/BetaML.jl,swh:1:snp:18b8b9d92a257aa5d258b6031fdcaad7fdf5b86a
45306,https://github.com/niess/alouette,swh:1:snp:aa2e4c010fbc4275cb2528e052e59566558515bc
46473,https://github.com/kevintli/mural,swh:1:snp:5374a38cb90e56b1fac191d2c5d39e74cde8db16
45982,https://github.com/AFLplusplus/AFLplusplus,swh:1:snp:06f47aa04e4229ba985bd3dc497e8202f51d11ff
45928,https://github.com/hoonose/sever,swh:1:snp:803ec8a779be723bf8b1233800cbcbe41d41a1c8
46116,https://github.com/felipenoris/XLSX.jl,swh:1:snp:4a276983920421aede482da597d78f8b9567df65
46353,https://github.com/lsaravia/EcoIndicators,swh:1:snp:c9de181dead5d38228091d51a6afd07a7c05ddcc
45987,https://github.com/isstac/diffuzz,swh:1:snp:724f8ff9d59f17db6bb66d11c0cf53ba75bbe9f3
46117,https://github.com/JuliaData/Avro.jl,swh:1:snp:bb9a81df11f67ac43b24220bb0f2694fb9c42c73
46451,https://github.com/netket/netket,swh:1:snp:c9dfb1f07ccefc3171670c071b129b38a1b8eb0d
45560,https://github.com/sahirbhatnagar/sail,swh:1:snp:f541fe94404210070b7c02d1d217b2127fac753a
45770,https://github.com/eleonoravercesi/HardTSPLIB,swh:1:snp:0d93abffa1442c9b7d48df48cf90953e389de8bf
45997,https://github.com/jandom-devel/ScalaFix,swh:1:snp:142f2733e095167c8c3dfe70fefc7d17e54c965c
46385,https://github.com/kaonashi-tyc/Rewrite,swh:1:snp:79d2c794e49e547fb95862311487e0162f70c1c8
46437,https://github.com/ElsevierSoftwareX/SOFTX-D-20-00022,swh:1:snp:75b9783f24311433a629f7f63d230e2905c439f1
45863,https://github.com/fospald/fibergen,swh:1:snp:5fe6b6ebc6b38fe85341188c0393e50b2aa922c7
46296,https://github.com/JuliaAI/DecisionTree.jl,swh:1:snp:1fa8600fb6c345028a7a81a511389e9d17c2e156
45276,https://github.com/Protelis/Protelis,swh:1:snp:4f06dbb08ea72a37e5e0b8c6e993365ad42e4e1b
37976,https://github.com/darothen/pyrcel,swh:1:snp:85aa395f0c84861e542e9709c3feb09f54af1bd7
37979,https://github.com/SimonUnterstrasser/ColumnModel,swh:1:snp:31daa6ed674d27140995374d603eadf43b3f9bf1
37980,https://github.com/pencil-code/pencil-code,swh:1:snp:9abdc7266b66c18a2897f6a3eedbcfeff15e4965
37982,https://github.com/fynv/ThrustRTC,swh:1:snp:60666795765f9c53dff12767a8282f45d75cd91e
37986,https://github.com/ContinualAI/avalanche,swh:1:snp:54240aef649e3192eae8b83ba1be57e4544975f8
37987,https://github.com/JIC-CSB/dtoolai,swh:1:snp:5e52577640d95b496ca49e4eeb7e0d0d92cc9f63
37988,https://github.com/vlomonaco/core50,swh:1:snp:e292fc3724b615f7d592b6e82c11af697992d076
37989,https://github.com/srebuffi/iCaRL,swh:1:snp:7d168b1d3cca514810a476ee24e927ad11f1d50b
38201,https://github.com/r9y9/pysptk,swh:1:snp:c32dfa1a77cd09718738b2be5f8deb91dab61887
38202,https://github.com/emrecimen/O-PCF-Algorithm,swh:1:snp:4e053aa94886a485e7cc852406d3114c75de5fb0
38205,https://github.com/yongchao/flowPeaks,swh:1:snp:c2ff0d2b3928605ccd1abeb989aa3892d20e5e19
38206,https://github.com/mlux86/flowLearn,swh:1:snp:fa3ea6d46f220c25bf784a3c5a4869d68b410b1b
38207,https://github.com/KlugerLab/deepcytof,swh:1:snp:f31ed99c1321b25772403b90ecf0fd881b7b290d
38208,https://github.com/google-research/pangea,swh:1:snp:1933b71590a21c876bcfb4f00672fe4a96d5fe4f
38209,https://github.com/niessner/Matterport,swh:1:snp:805aceb510afb8a1c32befa9515b1d327cb182d7
38211,https://github.com/facebookresearch/Replica-Dataset,swh:1:snp:b30b12db76b9c0d39e851b93f5716043e4d151aa
38212,https://github.com/YuankaiQi/REVERIE,swh:1:snp:d4e200f97f2bd6c7989e0652f427d5f8a3cff582
38215,https://github.com/jump-dev/MathOptInterface.jl,swh:1:snp:5b135d8cb19bc83780a70b18fe855c7750980fd3
38216,https://github.com/JuliaSmoothOptimizers/JSOSolvers.jl,swh:1:snp:e73395fae486b660230a1428febb9c2122a72bd6
38219,https://github.com/cran/targets,swh:1:snp:575b9334df622f18534a5e019e5a7d365b52fd2f
38221,https://github.com/mecadin/Parallel-delay-margin-finder,swh:1:snp:653e0d3ef3806938d2bb743471b8e8c8b570939b
38229,https://github.com/cran/geneNetBP,swh:1:snp:40c0007b963b12da904dc730d1b2c14883d654ae
38236,https://github.com/bvegetabile/entbal,swh:1:snp:4b2199790c131ee47225de33983a0aff27288129
38238,https://github.com/LingsongMeng/GuidedSparseKmeans,swh:1:snp:0b1e6631674de54ff034b1ac803e7ce61e66f369
38240,https://github.com/yu-yuxuan/HexGen_Hex2Spline,swh:1:snp:0e3086a8b13ce1014356e80be0bd06abfc2eaffd
38241,https://github.com/yu-yuxuan/HexGen_Hex2Spline,swh:1:snp:0e3086a8b13ce1014356e80be0bd06abfc2eaffd
38242,https://github.com/xylimeng/PPA,swh:1:snp:fee0fb1666ddaa7611a70f8cf00b75d331bf9139
38243,https://github.com/scilus/tractoflow,swh:1:snp:36b6acc8c66b486ec8e30b89887a65f2638111d2
38244,https://github.com/MRtrix3/mrtrix3,swh:1:snp:650a7352a0815e94fd6d5bcb4d4034e5d528ed60
38245,https://github.com/dpalmasan/TRUNAJOD2.0,swh:1:snp:fb1e8ea5603750d87faa7fad8e6877449f707fcc
38246,https://github.com/karins/CoherenceFramework,swh:1:snp:b0865e5bdb9283d348f591573b0b2e26b7eea893
38248,https://github.com/KTH-Nek5000/UQit,swh:1:snp:976324bdb5cb87f019d0559a4a30112584730ca3
38249,https://github.com/FourierFlows/GeophysicalFlows.jl,swh:1:snp:86020fdad8542b2e95c7a54fb5afc9442cda39bf
38250,https://github.com/FourierFlows/FourierFlows.jl,swh:1:snp:35fa36c7c1589832e63c8eddeb79cbd0248cdd45
38252,https://github.com/cran/multicon,swh:1:snp:a7389643ea7b3fa36b3d3197c2eb16d34dd2644f
38257,https://github.com/kip-hart/MicroStructPy,swh:1:snp:4b936138ebb4ff9cc61fae1b3ecb32c5feeed98c
38260,https://github.com/reguly/volna,swh:1:snp:87d3d3ac1011c2583e9980e3a6e898906472f72f
38265,https://github.com/firedrakeproject/firedrake-fluids,swh:1:snp:e760e1251c691f5ae7338e87ce430ea497515b83
38267,https://github.com/graphstream/graphstream.github.io,swh:1:snp:be05076d4c9824cf97615e472102bc5b1d05c9d5
38270,https://github.com/gautelinga/BERNAISE,swh:1:snp:514f1e37615e324c9b8ecef28b6d6cfd2a56f59f
38271,https://github.com/osu-crypto/PatternMatching,swh:1:snp:a5b529dedc4f0440bdfc62345deee1ccc6c5be39
38275,https://github.com/JacintoCC/rNPBST,swh:1:snp:29b64f3230f5fc905f358f65e2b176e29c517324
38276,https://github.com/kul-forbes/CIAOAlgorithms.jl,swh:1:snp:d0af6b7ad86e5544888eabcd74a0c195f9d8a425
38278,https://github.com/hpc4cmb/libmadam,swh:1:snp:f324f84d0e090f121fac243a381b293be319a864
38290,https://github.com/cdcseacave/openMVS,swh:1:snp:82b2fd6b35a811c7a830bb520e42286068328937
38294,https://github.com/cran/tsoutliers,swh:1:snp:a842d58b5d0dac1b4f88470f3dac7d5a5a744d05
38296,https://github.com/cran/timetk,swh:1:snp:2e51f5777a81b7985aae491ca5c7b1ed54471481
38301,https://github.com/omelchert/py-fmas,swh:1:snp:8e4e2c64921f8f151a6d67b43eafd7595a8fb6cb
38302,https://github.com/pyNLO/PyNLO,swh:1:snp:2937c7c306599c1ddd3ecba94f24240e1e256f3f
38305,https://github.com/FeifeiXiaoUSC/modSaRa,swh:1:snp:a318aa282fe6f075a793a35b0558804a7be28a23
38310,https://github.com/cran/VARsignR,swh:1:snp:aa6aab954d1d5f8514e53fb111ad5de1e0295512
38313,https://github.com/lukfor/pedviz,swh:1:snp:b55e4be09b50c5084c9625da710f9bcbd6304026
38316,https://github.com/kkdey/CountClust,swh:1:snp:b61b4cc58406a9473b39fee9bb9c29a142a50b3c
38321,https://github.com/ortslil64/tangle-network-particle-filter,swh:1:snp:ad5041aa054b90161cd78de414e6abc8ba1e6944
38322,https://github.com/cran/BayesSUR,swh:1:snp:578f02ce60f9a9224808e5b8fac044bee4a72399
38327,https://github.com/nifm-gin/MP3,swh:1:snp:6010d4a959d1a6df70028ddb1fe7ef0fa7984fd1
38331,https://github.com/abagciphys/JRAF.jl,swh:1:snp:4443cd58050bee0b64dd4e9dbef84ac0eddf0931
38332,https://github.com/jmert/Legendre.jl,swh:1:snp:07bc082d18c4799407b74b601fe23303c7acd8fa
38333,https://github.com/Jutho/WignerSymbols.jl,swh:1:snp:15313f544776a0dd4454da0683bd4b4a6c196553
38334,https://github.com/milthorpe/SphericalHarmonics.jl,swh:1:snp:859ef804d38468a683488214b1776ff9e2c18440
38335,https://github.com/zangobot/secml_malware,swh:1:snp:6e871ebd24e22c8bab2fc85a099a3195497e3033
38336,https://github.com/elastic/ember,swh:1:snp:bd86725e97c76d00e177e1f9b7fe5301fd63e601
38346,https://github.com/zeroc-ice/ice,swh:1:snp:d200255b3fa653089e2765e373ab4764cbec7943
38348,https://github.com/PennyLaneAI/pennylane,swh:1:snp:98a43d52fccff1c7f7934aa2866b951c14030a97
38349,https://github.com/NVIDIA/NeMo,swh:1:snp:8f4f1266fd8ca05ea5fe6693a0d8165fcc539882
38351,https://github.com/lowerquality/gentle,swh:1:snp:f9ce784200740b3a264dd5d8fb7816eac82b6654
38354,https://github.com/savoirfairelinux/num2words,swh:1:snp:cfd10192bf0af87ebadba5019d8a7a366e5f21aa
38360,https://github.com/JuliaClimate/MeshArrays.jl,swh:1:snp:4af9030a97cb9b9eaa06d48fc07e4901a6fb1e00
38361,https://github.com/blangworthy/transCCA,swh:1:snp:22a8e085d23a213f99a9b60cdafe2096dda7aa14
38362,https://github.com/cran/cbsem,swh:1:snp:845c08a18df52b45d093036d6ec44623d562d7ed
38366,https://github.com/theislab/destiny,swh:1:snp:2a1ed9133c9978fabfa3e3ceb63d43204d33f0bd
38367,https://github.com/cran/lle,swh:1:snp:05a40837f9806fb6eb795a459abc3f78ee034455
38370,https://github.com/cran/Renvlp,swh:1:snp:6ab255cd51bcf2f510a4ebd0cde595c54a0a89dd
38384,https://github.com/gaelforget/MITgcmTools.jl,swh:1:snp:096dfa3b55bdad469c887bc0ff6f639e94cf68e1
38388,https://github.com/CBIOMES/global-ocean-model,swh:1:snp:249c67a4908cf815f9807a7ba0bffffca8b3f10e
38390,https://github.com/cran/isoreader,swh:1:snp:1bd1750c2117f46d88e37da0b7e0ebbeb16bb46e
38391,https://github.com/esdalmaijer/PyGaze,swh:1:snp:49dcc01f8877a0e65a6b82972ae319e68d740a6a
38393,https://github.com/cran/restrictedMVN,swh:1:snp:70a90b34f5aca3e64e5f07b7616e767fc46724c4
38398,https://github.com/ElsevierSoftwareX/SOFTX-D-16-00042,swh:1:snp:e5c76c6baf4a4634a2bf8d5c58381ba5ee7ea7da
38405,https://github.com/3d-pli/fastpli,swh:1:snp:1b120c8d28a362b26686add5f420b1934f163803
38407,https://github.com/neuropoly/axonpacking,swh:1:snp:779167cf73fb18e14a930144080db54dc904157f
38408,https://github.com/JohannesBuchner/BXA,swh:1:snp:ebd40f8f73ed682d298a99edde6cc17620d03211
38409,https://github.com/brefsdal/pyblocxs,swh:1:snp:690bb7f9dec8c3466fefce0829b66b23f0bb9346
38412,https://github.com/csinva/imodels,swh:1:snp:b0f4d0d38e5f2bbc80b2b3c27d59a79a26501808
38413,https://github.com/EcoJulia/Mangal.jl,swh:1:snp:c8555704dfd3c4d049a7493f8862dbe7ff7dfe44
38416,https://github.com/oemof/oemof-tabular,swh:1:snp:0f18584c12b7683bfab87cc107c91f5400aa1e70
38419,https://github.com/oemof/oemof-thermal,swh:1:snp:64257c0c65e7823338aebfa82272738f0b17b766
38422,https://github.com/Tianshu-Liu/OpenOpticalFlow_PIV_v1,swh:1:snp:fd244e5e1a7d6051a810b0a61ac1c925265ad174
38423,https://github.com/Tianshu-Liu/OpenOpticalFlow,swh:1:snp:0990c8461de3f5b1d810abaa6c9aeeef9ede083f
38427,https://github.com/myudelson/hmm-scalable,swh:1:snp:c38eb4468342ab498a91a122f13418bca475d56b
38429,https://github.com/tudelft/SpikeCoding,swh:1:snp:a6bdc01071c65d786d1b3d58ab7c5395e49cd564
38437,https://github.com/mwydmuch/ViZDoom,swh:1:snp:e81f0e69e8b22b928c6703795fa777799471903d
38442,https://github.com/compgenomr/compGenomRData,swh:1:snp:2e0d888892e039440e4e1c0c41f895bdd9131c66
38449,https://github.com/shao-lab/MAnorm,swh:1:snp:4bc847c2c9afec20ec98e816fde6a6fb9f7a6d0c
38460,https://github.com/phapl/phapl,swh:1:snp:df319ef36942df20e727839e1facee88c95f6cf3
38461,https://github.com/pypyjs/pypyjs,swh:1:snp:35901352db6cfe5600090a744c8171f81616341e
38465,https://github.com/mathLab/EZyRB,swh:1:snp:9e0a6c7aee996566c09479e376eb5cee3dd8cbc1
38466,https://github.com/mathLab/PyDMD,swh:1:snp:247922f912572c6f27aa9b86d247a8cbb829702d
38469,https://github.com/cran/QBAsyDist,swh:1:snp:a255af1bd31975ec2a1c911170375549ea7721ca
38470,https://github.com/cran/gskat,swh:1:snp:4fc823fc47808606958d99065cc75d6c422d4ec8
35478,https://bitbucket.org/matseralex/tt_smoluh/src/master/libtt/,swh:1:snp:8fda732476492a84dea8f4a3006499da999771ba
35483,http://github.com/cornellius-gp/gpytorch,swh:1:snp:0b7c598b212f5ea11ca3069088548c129eca234c
35506,https://github.com/aiidateam/kiwipy,swh:1:snp:cbfb87a4cdf5f24ff65c6c2c5a35fffdcb20209f
35509,https://gitlab.com/myqueue/myqueue,swh:1:snp:6e1fd41c64a739ca3e7de0d47aba903a6212face
35510,https://github.com/berenslab/MorphoPy,swh:1:snp:b398f30b22f48ddad1ec5a176b06a52b732ad646
35533,https://github.com/arminmoin/ML-Quadrat,swh:1:snp:c4e721dc46afe074ed9928383b63097a8eb23594
35632,https://bitbucket.org/lucashnegri/peakutils/src/master/,swh:1:snp:3bd716ee26622cb677fce568e297d1d8007897c8
35716,https://github.com/Ossifragus/runcode,swh:1:snp:de70eadee4396abcf5e3242db380403c93feb2d8
35730,https://github.com/orest-d/p4vasp,swh:1:snp:ed81cd55bbfc862aa553dd7a811d9a0be6c10633
35766,https://github.com/aertslab/cistopic,swh:1:snp:eb067a5471687cdfd5636bc43223eb2fbb98a77a
35769,https://github.com/derekbeaton/gpls,swh:1:snp:695389773cfbf09ffa4e1ffec4eae2b3d20101af
35775,https://github.com/bytedance/lightseq/,swh:1:snp:f4eb7c33ceb45892f22fa792f15a3bcac69e9d94
35778,https://github.com/dccuchile/wefe,swh:1:snp:00ac72160140095d097768424a5781ed1a381972
35779,https://github.com/neuspell/neuspell,swh:1:snp:390baf224d0a0af0b2a45599d99e4b5eae9d4ee9
35794,https://github.com/lucidrains/conformer,swh:1:snp:9682c3f85bc2da5de4cc0c3db1422b745e36c2da
35802,https://gitlab.dune-project.org/anne.reinarz/dune-composites,swh:1:snp:190436091913f19c0b99b34c22c09ea7babdb774
35805,https://github.com/phonopy/phonopy,swh:1:snp:4e96c593e41a33c1ea95c536433d70bb9b253eb9
35815,https://github.com/mattja/sdeint/,swh:1:snp:44aac38b877ef2270fb10dc73823a5d5ec9084de
35820,https://github.com/InterDigitalInc/CompressAI,swh:1:snp:c31e8c284f5d88357cb14ecee98bb9df14745678
35826,https://github.com/sahahn/BPt,swh:1:snp:3a2a40c81ba88a8876e71dc9ac40129338f8694f
35856,https://github.com/retirejs/retire.js/,swh:1:snp:d8207416d614010888dc8dd3b7c2cbb13f3b166a
35870,https://github.com/google/svcca/,swh:1:snp:ca984a1124e905009cc48e4742d645cbca2f63c1
35882,https://github.com/Kopilov/RCallerService,swh:1:snp:959a883ac3f6624297221fc6ecd3d7657658629b
35957,https://github.com/ORNL/Tasmanian,swh:1:snp:1fb47f8d8c99519ef8159903d4649f7d3452f428
35985,https://github.com/jqiAMO/pylcp,swh:1:snp:7f0336191bbd7d037fb445bee465db2d3285a458
45408,https://github.com/dqrobotics/python,swh:1:snp:82b489fa9e683d3793e691852884d28149d2afad
46244,https://github.com/mathLab/pi-BEM,swh:1:snp:c91f558bc8a212cfd913f9df31ed3f3fe789e626
46110,https://github.com/JuliaData/PooledArrays.jl,swh:1:snp:8a235f28098a9d28e496b2fdf12e54f18caa95cd
45730,https://github.com/cgeoga/BesselK.jl,swh:1:snp:ffd0878ff180e9e4d9d25f61202e7806ddd23df9
45517,https://github.com/musescore/MuseScore,swh:1:snp:1e999f2eeeaadcf63ed445dc33ccbe0c9dc40192
46548,https://github.com/JuliaApproximation/MultivariateOrthogonalPolynomials.jl,swh:1:snp:3b8af46b5f27a890c695becb23f9b8f58e9249ba
46489,https://github.com/daviddaigithub/BOLTSSIRR,swh:1:snp:37f62b8b485aee5d9e45267143539d271216ac57
46252,https://github.com/fellstat/ernm,swh:1:snp:4bc6e748de8fcd5e3dd8066b11b2142a0a70a3cf
45790,https://github.com/allinurl/goaccess,swh:1:snp:37b160967a8d708350de77053a7fd10736bf300c
45300,https://github.com/paulguerrero/pcpnet,swh:1:snp:8e0652682c50498efea9dc06d0d5c6179a323697
45661,https://github.com/lanl-ansi/bqpjson,swh:1:snp:4afd9a778dcfd58dd793263236e7d01d3e799262
46769,https://github.com/ekmett/ad,swh:1:snp:204bc5943a8d9af080c0be2f5273a9b0778494ec
46625,https://github.com/mroughan/SurrealNumbers.jl,swh:1:snp:3fe16749eab777c24056985f26575b7ac6a0c667
46135,https://github.com/JuliaPlots/StatsPlots.jl,swh:1:snp:a1da9f8c93d9042a1e250aef6c35b3cce761e921
46861,https://github.com/noemielc/egpd4gamlss,swh:1:snp:aadca8990c7e987de19eb7dcd0510720b318a028
46160,https://github.com/SCOREC/pumi-pic,swh:1:snp:80a9811aa93913927e0257503409aa98d4cdca7b
45361,https://github.com/ivanvovk/WaveGrad,swh:1:snp:a6f9dc9ace4d2bb531fa6f9a14e95ac17c4c48e9
46740,https://github.com/cran/archeoViz,swh:1:snp:82a9813207185304a6fc28a273da2215c35a13a6
46047,https://github.com/haysch/ROOPLPP,swh:1:snp:6a4164bdf49b05ff5d8d62d6a68c817f5630ee2d
46219,https://github.com/ICSE-2019-AUTOFIX/ICSE-2019-AUTOFIX,swh:1:snp:6fbbe8a7a073bd0ad4d60a8b3cb9611d7dc83b1f
46796,https://github.com/GridTools/gt4py,swh:1:snp:46db5069454302f2e929fd979bc790d61430f241
45594,https://github.com/clue-developers/CLUE,swh:1:snp:14574f9d117bb9f68337a30dff67cbab167c9fd0
45911,https://github.com/oyam/PanNet-Landsat,swh:1:snp:bb9a0d651c9b0e6438a02782b7c8cdb49f673122
46778,https://gitlab.com/Molcas/OpenMolcas,swh:1:snp:64913e835c36e8a337d2e2456512ee6493ac0202
45984,https://github.com/Dongdongshe/neuzz,swh:1:snp:0ed8b5b9dc1524f251c7bde42de95c2cc2c09b6f
45527,https://github.com/cran/simmr,swh:1:snp:c95c3d2f097de04b09e79354d1122c074137a99b
46736,https://github.com/johnaparker/miepy,swh:1:snp:d35beaa5d0dcc2ad0bc31907156c00599a03c5e5
45884,https://github.com/psmbionet/PSMBIONET,swh:1:snp:5748340c196c0bedda332669dd001069d917c2ca
46814,https://github.com/thinng/GraphDTA,swh:1:snp:4a0a5c2763970803bf4da10e3c7be4864fb77f51
45598,https://github.com/Mahim1997/wQFM-2020,swh:1:snp:94cfd99d944161a297ad47fad1aa2d674c9fec06
45757,https://github.com/kakitone/MetaFinisherSC,swh:1:snp:487a62d2163afb142a6953f2e7e0d33606e28068
45577,https://github.com/geodynamics/axisem,swh:1:snp:4e4efd7cf60bb010c462d9684e5cd6163fd5badb
45650,https://github.com/HowieChangchn/BiSTF,swh:1:snp:20c1df4a821fcc437f5bb0789de48234ea08d729
45266,https://github.com/pcosme/TETHYS-Graphene-Hydrodynamic-Simulation,swh:1:snp:b2e3a2997d369a3259d57c20144f4f641add5bca
46460,https://github.com/pyomeca/bioptim,swh:1:snp:d8e656c4bcb9f41c991a2787c12a1ac83ad35c36
46480,https://github.com/vaspkit/vaspkit.github.io,swh:1:snp:d4d0397274c4fafce64a9f1b4d7364aa88597088
45668,https://github.com/MQLib/MQLib,swh:1:snp:e4b1cc508a957eaacfaa93067348c617b6e9bda7
45828,https://github.com/DanielMckenzie/HadRGD,swh:1:snp:1dd852a6ed076ae70db28af5898c3312a533a165
46456,https://github.com/alexlenail/NN-SVG,swh:1:snp:9e45514641e60bd70a8af7012ee617533118e86b
45592,https://github.com/jugacostase/gtdownloader,swh:1:snp:c855fedc12d46d2c8c08e1260bb2fa60af218f6f
46376,https://github.com/jqian-lab/seqTrun,swh:1:snp:d586dfa909ce899e7554f1b1805990b4afea0073
46092,https://github.com/liyili2/KtoIsabelle,swh:1:snp:dee6019569d7da26936bf9b53236de39b376bbcd
45455,https://github.com/TerraFERMA/TerraFERMA,swh:1:snp:bb3fac37c20a192324af0d321f4f5b2f061fa97f
46248,https://github.com/dchetelat/acer,swh:1:snp:a502eac6cd4d5acb59b134517cb86ca350a175f4
46554,https://github.com/cloudflare/circl,swh:1:snp:d60547dd873bad2d2da7c924c77f9f752b908463
45259,https://github.com/cosmolattice/cosmolattice,swh:1:snp:9ef73c75cb2fa309dfc594adef8ede818d911453
45935,https://github.com/XuyangBai/D3Feat,swh:1:snp:26cc69b9f72064aac3445f70972537b28681b53c
46131,https://github.com/JuliaData/DataAPI.jl,swh:1:snp:715e0444f49fed94d12849bb0082e7f9c2edd78b
46147,https://github.com/prismika/simpleHarmony,swh:1:snp:5475bb20f49553fa27a54812f3d509c7fdab62eb
46560,https://github.com/pramalhe/RedoDB,swh:1:snp:7cdfe010aecd97d6471da5825a01d6fc41e87bc8
46720,https://github.com/joselado/pyqula,swh:1:snp:03e0a01eb59141ad3790ade05c4a86d758846831
45246,https://github.com/facebookresearch/TaBERT,swh:1:snp:f5d8a8171a306ed4fec85d6cdd0010119381a4d5
45973,https://github.com/soarlab/FPTaylor,swh:1:snp:4c4db37ca3875b904dd93344443a74108cea5f26
45496,https://github.com/DingXiaoH/ACNet,swh:1:snp:1875feafb7afd89b6334cf44c7a5e2be13fe6a3d
46898,https://github.com/FertigLab/CancerInSilico,swh:1:snp:74a59cda5a7601c497626f600c5793348e9ded1e
46452,https://github.com/dalek-cryptography/curve25519-dalek,swh:1:snp:bf0794a115e60e2f3e3a73e58f11733ba591cef4
46041,https://github.com/mabau/lbmpy,swh:1:snp:a1904b24cffebb3fec121d670738605f928e4b9d
46299,https://github.com/IBM/AutoMLPipeline.jl,swh:1:snp:bfccd692530be14469778a04cd3d23a8951d6e33
45311,https://github.com/1313e/CMasher,swh:1:snp:20bf04da4390195bc58511c351b0c1807e07b41f
46907,https://github.com/cran/conics,swh:1:snp:87674f8dfd4f2a9fc188259a2b64292c3dc1ac31
46717,https://github.com/JuliaLinearAlgebra/Arpack.jl,swh:1:snp:6f9932ae2ef565ca5be75eea7d69c0b7785fe4e2
45227,https://github.com/WenjieDu/SAITS,swh:1:snp:0361029aa410c2b9aa6811fc7e615e975bb7d880
46024,https://github.com/averissimo/BGFit,swh:1:snp:a1f7ae73fd6e6fa90fab33c11edb43446a35ca2a
45694,https://github.com/google-research/morph-net,swh:1:snp:071cdff2391011544985cee5a9402c9aeadd7d8f
46484,https://github.com/potassco/clingraph,swh:1:snp:96a2893efdf053b00ce1db805ff710e947fbc56a
46539,https://github.com/florisvb/PyNumDiff,swh:1:snp:27da3427b1c2240db3bf41c8ec6136d5d331a3de
46111,https://github.com/ronisbr/PrettyTables.jl,swh:1:snp:d5febb719d680088d1f63aa976ea768fb45c32a2
46563,https://github.com/tingeman/CR1DMOD,swh:1:snp:8ce2cb28b75ba36e9f47ba5a3591c153b012d08e
46349,https://github.com/ajm/swiftlink,swh:1:snp:5e0879ace9f2ce7f104eaf56ddd279386f7e7165
46148,https://github.com/cran/s2,swh:1:snp:e19695f28653f4aad04cc9c08d736a86beadb8a5
45498,https://github.com/shjo-april/PuzzleCAM,swh:1:snp:f0ac6360485d62cc5892cd98fbe14879c6cad25c
45556,https://github.com/KULeuven-COSIC/CSI-FiSh,swh:1:snp:4004ab837da3e76e1cbfa352544a167a95f4fbad
46095,https://github.com/INRIA/velus,swh:1:snp:dc5bf92a7c10fa7e7c9bcf88cb6fd7c734021303
45315,https://github.com/QuEraComputing/GenericTensorNetworks.jl,swh:1:snp:5a487f64f9bc21b8ce902336bb57ae52881c7aa6
45359,https://github.com/NVlabs/NVAE,swh:1:snp:14ac9b84256d635c6a9d8a873c1a65ddbfeb896f