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https://github.com/mit-han-lab/data-efficient-gans
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
https://github.com/mit-han-lab/data-efficient-gans
data-efficient gans generative-adversarial-network image-generation neurips-2020 pytorch tensorflow
Last synced: about 1 month ago
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[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
- Host: GitHub
- URL: https://github.com/mit-han-lab/data-efficient-gans
- Owner: mit-han-lab
- License: bsd-2-clause
- Created: 2020-06-15T16:07:24.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2023-11-12T00:16:36.000Z (10 months ago)
- Last Synced: 2024-04-20T04:32:04.472Z (5 months ago)
- Topics: data-efficient, gans, generative-adversarial-network, image-generation, neurips-2020, pytorch, tensorflow
- Language: Python
- Homepage: https://arxiv.org/abs/2006.10738
- Size: 33.9 MB
- Stars: 1,256
- Watchers: 19
- Forks: 173
- Open Issues: 26
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Metadata Files:
- Readme: README.md
- License: LICENSE.txt