GitHub - foersterrobert/GANFTs: I trained a Generative Adversarial Network (GAN) using 10.000 images of CryptoPunks. In order to prevent mode collapse, I used the Wasserstein loss function together with gradient penalty.

Name		Name	Last commit message	Last commit date
Latest commit History 28 Commits
.streamlit		.streamlit
.gitignore		.gitignore
GANFTS.ipynb		GANFTS.ipynb
README.md		README.md
gan.gif		gan.gif
ganPunk.pth		ganPunk.pth
main.py		main.py
requirements.txt		requirements.txt
small.png		small.png
test.ipynb		test.ipynb

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