Pytorch implementation of cWGAN-gp. Simply my cDCGAN-based but using the Wasserstein Loss and gradient penalty.
This was used as a comparison with our meta-DCGAN-{1,2} MLP and meta-WGAN-gp 2MLP architectures
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My version of cWGAN-gp. Simply my cDCGAN-based but using the Wasserstein Loss and gradient penalty.
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