Code for tutorial taught at the CWI masterclass.

The tutorial contains:

• Pretrained GAN and WGAN weights
• Minimal setup for training and testing a GAN and WGAN on MNIST
• Minimal setup for solving inverse problems using (Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications for inverse problems)[https://www.sciencedirect.com/science/article/pii/S0898122123003280]