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

GANs in computer vision AI Summer article series

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

My Master Thesis experimentation source codes

Pytorch Implementation of VAE

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