A collection of libraries to optimise AI model performances

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Differentiable architecture search for convolutional and recurrent networks

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

A lightweight, scalable, and general framework for visual question answering research

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

[ECCV 2018] Official code for "Graph R-CNN for Scene Graph Generation"

Graph Neural Network Library for PyTorch

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

MFURLN relationship detection method

MAttNet: Modular Attention Network for Referring Expression Comprehension

Deep Modular Co-Attention Networks for Visual Question Answering

Generate chinese couplet with seq2seq & PyTorch

Faster R-CNN

pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

A very simple framework for state-of-the-art Natural Language Processing (NLP)

TensorFlow code and pre-trained models for BERT

A CV toolkit for my papers.

A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

A faster pytorch implementation of faster r-cnn