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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

Experimental Samples

You can see the samples at ipynbs.

Vanilla GANs

Vanilla GANs

Conditional GANs

Conditional GANs

DC GANs

DC GANs

WGAN-gp with MLP

WGAN-gp with MLP

infoGANs w/ walking code 1

infoGANs

infoGANs w/ walking code 2

infoGANs

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Simple Implementation of many GAN models with PyTorch.

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  • Jupyter Notebook 100.0%