Published December 2, 2020
| Version v1
Other
Open
LEXACTUM Trained Model Weights
Authors/Creators
- 1. University of Malta, Istituto Nazionale di Astrofisica
- 2. University of Malta, University of Oxford
- 3. University of Malta
- 4. Istituto Nazionale di Astrofisica - Osservatorio Astrofisico di Catania
Description
These files are the weights from the models described in our paper, "Convolutional Neural Networks for the Automated Detection of Strong Gravitational Lensing", trained for a varying number of epochs.
The dataset on which these models have been trained is available on the Gravitational Lens Finding Challenge 1.0 web page:
http://metcalf1.difa.unibo.it/blf-portal/gg_challenge.html
The code written to train and load these models is available on the GitHub repository:
https://github.com/DanielMagro97/LEXACTUM
Notes
Files
Files
(2.7 GB)
| Name | Size | |
|---|---|---|
|
md5:2f2675a1ea72334b3cd34426f41c2285
|
48.8 MB | Download |
|
md5:a2b3bac920a08c1085c55ee5e00dfc87
|
48.8 MB | Download |
|
md5:cdbe3a40d5ae306135e3e5174534f5fd
|
48.8 MB | Download |
|
md5:92bcb9471d421726d5a903f211bef724
|
48.8 MB | Download |
|
md5:4cd0acb7396bd1e8050263d980a44a30
|
43.2 MB | Download |
|
md5:2c0965a6c3a689635828a2e5f445cd8b
|
43.2 MB | Download |
|
md5:82e0263f5532b80c6d36185756f88838
|
43.2 MB | Download |
|
md5:20c7daae8f6182187ac6443217f4e600
|
43.2 MB | Download |
|
md5:17fdc444595a5895d35c473bb26e2f17
|
43.2 MB | Download |
|
md5:c9a9f9ac27bb8363ff4b038585bc8716
|
43.2 MB | Download |
|
md5:19dad03292db1f19b2773867e8241c69
|
68.3 MB | Download |
|
md5:43016ab04bedc646ca39201a5dab1729
|
68.3 MB | Download |
|
md5:4632e9e16496df7d1e486c8441bc39c3
|
68.3 MB | Download |
|
md5:1cdde31b36372d7eeff2843c953f0a0d
|
123.9 MB | Download |
|
md5:8d21319dc6357eafc83d7360177c97aa
|
123.9 MB | Download |
|
md5:fe82b57aaae5cd5b76963fca3db4e76b
|
123.9 MB | Download |
|
md5:ca8718cd35893fd572654461cd3ecfce
|
1.3 MB | Download |
|
md5:9cd2979957f6414ca516b39845152f01
|
1.3 MB | Download |
|
md5:17beeb5a82640a6d4ab52731ae464bd4
|
1.3 MB | Download |
|
md5:325be5de8013b57ad12a01e1e83140a9
|
31.6 MB | Download |
|
md5:95567a168450e83109d48e708e1d2507
|
31.6 MB | Download |
|
md5:6475b820a3cd47628466eca6cea25194
|
31.6 MB | Download |
|
md5:29547158f0c099bb6711ee07dba4144d
|
48.4 MB | Download |
|
md5:5cd422055797ed8e0b009fcc27d88b3f
|
48.4 MB | Download |
|
md5:146c522c9985b7e10e15191e42ccc2fd
|
48.4 MB | Download |
|
md5:682763505691e4bf4ff28c5eee34150f
|
48.4 MB | Download |
|
md5:8432a36597c4ae04d63a99b90eb9f24f
|
48.4 MB | Download |
|
md5:953309bd082f89b8dc9168b970a016f9
|
48.4 MB | Download |
|
md5:687d6e4ea2171c57231f8b701f050479
|
48.4 MB | Download |
|
md5:5c3d9e4a26bf2c9a43e6d45f39cc662d
|
43.1 MB | Download |
|
md5:196695d1ef06dc56466b64cc05282cc4
|
43.1 MB | Download |
|
md5:260de118dbe8485a501fa3bcf01d80b6
|
43.1 MB | Download |
|
md5:ccd5b819cd90051e0c18591e566eddcb
|
43.1 MB | Download |
|
md5:2a8ea302ea610cab53e79efe38b25c5b
|
43.1 MB | Download |
|
md5:8cfb9a243ff9ac781aaa762eba2d268a
|
43.1 MB | Download |
|
md5:93676917fa987d49e4b146d144a7d54f
|
43.1 MB | Download |
|
md5:75044dfb6255e194c9b059c5f25c10c9
|
43.1 MB | Download |
|
md5:85fb808ea6247e100f95b34f0bd98c1d
|
68.3 MB | Download |
|
md5:6c692126cb2cf4a628f87b4fcbe95f66
|
68.3 MB | Download |
|
md5:ccb06a80d1d0e30465ed9b78ee075205
|
68.3 MB | Download |
|
md5:df7f019b0cceed149758385dc5480435
|
68.3 MB | Download |
|
md5:3d969bb2e724bc313e904630f102c529
|
123.8 MB | Download |
|
md5:bdeb458b491f98cb93ce5c1e00a7c021
|
123.8 MB | Download |
|
md5:0d11825f04698bdb21c12d80c56042a5
|
123.8 MB | Download |
|
md5:e1a0509b8d5474c1150d4caba5b36b49
|
123.8 MB | Download |
|
md5:ca0515e5cf63d09c40ad8556014823b1
|
1.2 MB | Download |
|
md5:799f3f2f5ef5273973fd5f9716f0c6a0
|
1.2 MB | Download |
|
md5:bc9d66be5c783638c94d84d4b1ed4485
|
1.2 MB | Download |
|
md5:f62b252bf2cd61d53f1fa4e08cc0066c
|
1.2 MB | Download |
|
md5:a4907fa007bd9eeb70a47bd87fc80127
|
31.5 MB | Download |
|
md5:b6b6dee3359eadc3eb594267f59c7b2f
|
31.5 MB | Download |
|
md5:c73129dab3670eb5f34625e4ba18a9fa
|
31.5 MB | Download |
|
md5:0ef8b0f58e6d12436243cccdc0b67401
|
31.5 MB | Download |
|
md5:d219ca4fa85f741b03bf2e75cfca4dbb
|
31.5 MB | Download |