data-efficient-gans
by mit-han-lab · GitHub
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
⭐ Stars
1.3k
🍴 Forks
174
📜 License
BSD-2-Clause
Commercial use OK📅 Created
2020
🔄 Last commit
1 yr ago
🏷️ Category
data-efficient
💻 Language
You maintain this project?
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
📈 Star history
2026-07-202026-07-21
📄 About
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
❓ Frequently asked questions
What is data-efficient-gans?
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
Is data-efficient-gans open source?
data-efficient-gans is an open-source project. It is released under the BSD-2-Clause license.
Is data-efficient-gans free?
Yes. data-efficient-gans is free and open source — you can use, modify and self-host it.
🏅 Maintainer of this project?
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://opensourceai.tech/project/mit-han-lab-data-efficient-gans.html)
🧬 Shares DNA with🧬 View the DNA map →
vision-aided-gan
Ensembling Off-the-shelf Models for GAN Training (CVPR 2022 Oral)
★ 420 · computer-graphics
sharesgansgenerative-adversarial-network
ganspace
Discovering Interpretable GAN Controls [NeurIPS 2020]
★ 1.8k · deep-learning
sharesgenerative-adversarial-networkimage-generation
Few-Shot-Patch-Based-Training
The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-…
★ 625 · deep-learning
sharesgenerative-adversarial-networkimage-generation
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.