/GAN

Primary LanguageJupyter NotebookMIT LicenseMIT

GAN

Basics

GAN Paper by Goodfellow

NIPS Tutorial on GANs by Goodfellow

NIPS workshop series on how to train GANs

Tips and Tricks for training GANs

improved Techniques for Training GANs

Tutorials

Deep Diving into GANs: from theory to production

A Beginner's Guide to Generative Adversarial Networks (GANs)

Small Video Tutorials

Understanding the Technology Behind DeepFakes

Code References

KerasGAN - Python library with loads of implementations of GANs

DCGAN Tensorflow - Implementation of DCGAN in Tensorflow

CycleGAN - PyTorch implementation of CycleGAN

Wasserstein GAN - Code accompanying the Wasserstein GAN paper

Deepfakes Implement with Pytorch

First Order Model