Generative Adversarial Networks
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Papers
Generative Adversarial Networks
Original Paper introducing GANs
A thorough github repository with links to most GANs papers
Lectures
Introduction to GANs, NIPS 2016 | Ian Goodfellow, OpenAI
Lecture by Ian Goodfellow, inventor of GANs
DeepMind x UCL | Deep Learning Lectures | 9/12 | Generative Adversarial Networks
A technical lecture on GANs and some of their popular variants, by DeepMind
Videos
Generative Adversarial Networks (GANs) - Computerphile
Light introduction to GANs
Generative Adversarial Networks - An Introduction Part 1 and Part 2
By WelcomeAIOverlords
Generative Adversarial Networks (Paper Explained)
A walkthrough of the original GAN paper
Posts
Understanding Generative Adversarial Networks
A detailed blog post that walks through how GANs work
Code Examples
A github repo with links to code and papers for a number of GANs applications
A github repo that implements the original GAN and a few variants with simple examples
A github repo of GAN implementations in pytorch with extensive commenting for beginners
A github repo with links to many GAN papers and tensorflow implemenations
Courses
Generative Adversarial Networks
Coursera course by DeepLearning.AI
A short, beginner friendly GANs course from Google
Textbook Sections
Deep Learning Book Chapter 20.10.4: Generative Adversarial Networks
A section on GANs from Ian Goodfellow’s 2015 Deep Learning Textbook (Page 696)
APIs
GANs 2.0: Generative Adversarial Networks in TensorFlow 2.0
An API for building quick GANs pipelines in tensorflow
A lightweight library for training and evaluating GANs
Tagged Pages: DCGAN, Conditional GANs, Wasserstein GANs, Cycle GANs, Style GANs, TransGAN
Know a great resource on Generative Adversarial Networks? Send it to us at contactbackprop@gmail.com!