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nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

nmp_qc

Neural Message Passing for Computer Vision

nmr_mpnn

Neural Message Passing for NMR Chemical Shift Prediction

node2vec

Node2vec with tensorflow

node2vec_linkprediction

Testing link prediction using Node2Vec

ogb_baselines

A simple baseline for OGBL DDI

openchem

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

openke

An Open-Source Package for Knowledge Embedding (KE)

openke-pytorch

organ

Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

pairseed

paper-list

A reading paper list which is mainted daily

personalizedmultitasklearning

Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR).

planetoid

Semi-supervised learning with graph embeddings

powerful-gnns

How Powerful are Graph Neural Networks?

prediction

pretrain-gnns

Strategies for Pre-training Graph Neural Networks

prml

PRML algorithms implemented in Python

provablypowerfulgraphnetworks

provis

Official code repository of "BERTology Meets Biology: Interpreting Attention in Protein Language Models."

pygat

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

pygcn

Graph Convolutional Networks in PyTorch

pyhgt

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

python-cheatsheet

Comprehensive Python Cheatsheet

python-smote

SMOTE: Synthetic Minority Over-sampling Technique

pytorch-camp

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-learning

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch