[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
Train AI models to generate images using only a small number of example pictures with advanced techniques.
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data-efficient-gans has 1.3k stars on GitHub. It has been forked 174 times. data-efficient-gans is written mainly in Python. It has been in active development since 2020. data-efficient-gans is available under the BSD-2-Clause license. Its main topics are data-efficient, gans, generative-adversarial-network, image-generation.
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
data-efficient-gans is an open-source project. It is released under the BSD-2-Clause license.
Yes. data-efficient-gans is free and open source — you can use, modify and self-host it.
data-efficient-gans is available under the BSD-2-Clause license.
data-efficient-gans is written mainly in Python.
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