MIT License
Py Library - Vanilla GAN, DCGAN, WGAN, SNGAN, SRGAN, StyleGAN, VAE, Pix2PixHD
Data augmentation using Conditional Generative Adversarial Networks (cGAN)
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
Yet another (very simple) approach for adversarial training.
TensorFlow bootcamp course by Udemy