mit-han-lab / data-efficient-gans

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Date Created 2020-06-15 (4 years ago)

Commits 97 (last one about a month ago)

Stargazers 1,283 (0 this week)

Watchers 18 (0 this week)

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License bsd-2-clause

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RepositoryStats indexes 585,332 repositories, of these mit-han-lab/data-efficient-gans is ranked #40,545 (93rd percentile) for total stargazers, and #122,651 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #6,265/116,570.

mit-han-lab/data-efficient-gans is also tagged with popular topics, for these it's ranked: pytorch (#688/5954), tensorflow (#362/2242), generative-adversarial-network (#47/367), image-generation (#38/349)

Other Information

mit-han-lab/data-efficient-gans has Github issues enabled, there are 27 open issues and 71 closed issues.

Homepage URL: https://arxiv.org/abs/2006.10738

All Topics

gans pytorch tensorflow neurips-2020 data-efficient image-generation generative-adversarial-network

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updated: 2024-11-19 @ 01:50am, id: 272484725 / R_kgDOED3JdQ