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

Coming soon. (You can see the sampels at ipynbs)