Efficient Streaming Language Models with Attention Sinks

Graph Neural Network Library for PyTorch

code for paper "Graph Structure of Neural Networks"

Danqi Chen's PhD Thesis

Message Passing Neural Networks for Molecule Property Prediction

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Spatial Sparse Convolution in PyTorch

TensorFlow code and pre-trained models for BERT

Build Graph Nets in Tensorflow

Spearmint Bayesian optimization codebase

Sample Code for Gated Graph Neural Networks

A toolkit for developing and comparing reinforcement learning algorithms.

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Library of functions and wrapper scripts for accessing NEIC ComCat server data

Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

Representation learning on large graphs using stochastic graph convolutions.

Speed up PixelCNN++ image generation by up to a 183 times

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch

Recurrent Variational Autoencoder that generates sequential data implemented in pytorch

The most cited deep learning papers