This notebook includes a variety of Generative Adversarial Networks (GAN's).

So far the models included is:

• GAN
• DCGAN
• WGAN and WGAN-GP
• C-GAN
• Progressive-GAN
• Relativistic-GAN

All models are only implemented for MNIST because of the lack of computing ressources but could easily be extented to another dataset like CIFAR10 (might come later).

The included models is:

• LSTM-GAN
• SA-LSTM-GAN Self-attention applied to LSTM-GAN
• RelGAN
• Mem-GAN A learned Memory interation with the LSTM-GAN