Stars
Graph Neural Network Library for PyTorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Magenta: Music and Art Generation with Machine Intelligence
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
Implementation of Graph Convolutional Networks in TensorFlow
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
A curated list of data science blogs
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
A best practice for tensorflow project template architecture.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Representation learning on large graphs using stochastic graph convolutions.
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
Code for the paper "Improved Techniques for Training GANs"
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
A simple interface for editing natural photos with generative neural networks.
A Python package to assess and improve fairness of machine learning models.
Library for training machine learning models with privacy for training data
pytorch structural similarity (SSIM) loss
An Open-Source Package for Network Embedding (NE)
Python script to download all Springer books released for free during the 2020 COVID-19 quarantine
disentanglement_lib is an open-source library for research on learning disentangled representations.
Sample Code for Gated Graph Neural Networks
"End-To-End Memory Networks" in Tensorflow
Diffprivlib: The IBM Differential Privacy Library