/GANs-pytorch

Collection of GAN models and implementations

Primary LanguagePythonMIT LicenseMIT

GANs-pytorch

Collection of GAN models and implementations

Basic GAN

Basic GAN implementation using MNIST

Summary

Using a relatively simple GAN model.

MNIST data can be found here or in this case from torchvision

Findings

GAN model trained on 200 epochs.

1 epoch 50 epochs 100 epochs 150 epochs 200 epochs

DCGAN

Deep-Convolutional GAN implementation using CelebA

Summary

Using a Deep-Convolutional GAN model.

CelebA data can be found here

Findings

GAN model trained on 5 epochs.

Result after 5 epochs

Coming soon

  • WGAN
  • Semi-supervised GAN
  • CGAN
  • InfoGAN
  • Cycle-GAN