MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

GANs in computer vision AI Summer article series

My Master Thesis experimentation source codes

Provides a framework for training Generative Adverserial Networks (GANs) with user-defined training parameters and network complexity.

Pytorch Implementation of VAE

One of the most basic GAN setup. Training on MNIST dataset for generating handwritten digits, on Tensorflow.