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tf-gnn-samples

TensorFlow implementations of Graph Neural Networks

toolbox

Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)

torch-residual-networks

This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

torch-rgcn

A PyTorch implementation of the Relational Graph Convolutional Network (R-GCN) from https://arxiv.org/abs/1703.06103.

torchdrug

A powerful and flexible machine learning platform for drug discovery

transformer-backbone

The reproduce of Transformer architecture in paper "Attention is all your need"

transformer-xl

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

transx

Trans系列之TransE and TransH, PTransE

treelstm

Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)

tupe

Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.

tutorials

机器学习相关教程

uni_ht19_id2222_local_graph_partitioning

unsupervised-data-augmentation-for-consistency-training

PyTorch implementation of the computer vision related part of the paper "Unsupervised Data Augmentation for Consistency Training".

variational-graph-auto-encoders

This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.

vgae_pytorch

This repository implements variational graph auto encoder by Thomas Kipf.

wikiextractor

A tool for extracting plain text from Wikipedia dumps

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding