GAN

In this repository, we have included a folder with different generative adversarial networks, GANs: vanilla GAN, WGAN, MMD-GAN.

In the first two cases, we have used the implementation from this repoistory, with some minor changes. In the last case, we have rewritten the original code written in Python to Julia.

The goal is to test that the AdapativeBlockLearning methods can work as regularizers for the solutions proposed by the GANs, providing a solution to the Helvetica scenario.