Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model

Self-contained Machine Learning and Natural Language Processing library in Go

Library to scrape and clean web pages to create massive datasets.

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

C++ Implementation of PyTorch Tutorials for Everyone

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Composable GAN framework with api and user interface

Artificial intelligence for the Snake game.

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"

Unity Post Processing with Convolution Neural Network

Quantize weights and activations in Recurrent Neural Networks.