Quick and dirty implementation of WGAN in pytorch derived from the pytorch implementation of cycleGAN with the Wasserstein Loss. Implements in pytorch both cycle GAN with clipping or differential penalty Wasserstein loss.
☆28Jan 17, 2018Updated 8 years ago
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