Published July 25, 2023
| Version v1
Preprint
Open
Datasets for Score-based Diffusion Models for Generating LArTPC Images
Description
Collection of datasets used in our paper Score-based Diffusion Models for Generating Liquid Argon Time Projection Chamber Images (arXiv:2307.13687). This includes our training datasets, training checkpoints, network activations (for analysis), and generated images. See the README for further explanation.
The scripts to train, deploy, and analyze this data can be found on our GitHub: https://github.com/NuTufts/GenNets.
Files
README.md
Files
(9.9 GB)
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md5:1b54fff024233f65d9009f0da09dcbba
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248.4 MB | Download |
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md5:b2f3405ad500fd3844d90e1beaa036bc
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938 Bytes | Download |
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md5:02d904921f7e55fd95fd6f74a0113a03
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1.7 kB | Preview Download |
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md5:43e9463a01ee0d1d0a8d195467453480
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6.8 GB | Download |
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md5:7417e0f350d60c7054330210f3683e8f
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2.8 GB | Download |
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md5:7992929bbae823c99b83573056eb63c5
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53.3 MB | Download |
Additional details
Related works
- Is referenced by
- Preprint: https://arxiv.org/abs/2307.13687 (URL)