GANs Tutorial Very simple implementation of GANs, DCGANs, CGANs, WGANs, and etc. with PyTorch for only MNIST. You can run it immediately at Jupyter Notebook. Requirements python 3.6 (Anaconda) pytorch 0.4.0 (updated from 0.3.1) Implementation List GANs Vanilla GANs Conditional GANs DC GANs Wasserstain GANs with DCGAN WGAN-gp with MLP infoGANs Experimental Samples You can see the samples at ipynbs. Vanilla GANs Conditional GANs DC GANs WGAN-gp with MLP infoGANs w/ walking code 1 infoGANs w/ walking code 2