jdlc105

Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress

Papers on Graph neural network(GNN)

alphafold

Open source code for AlphaFold.

AndroidDevTools

收集整理Android开发所需的Android SDK、开发中用到的工具、Android开发教程、Android设计规范，免费的设计素材等。

AutoGL

An autoML framework & toolkit for machine learning on graphs.

autokeras

AutoML library for deep learning

Awesome-AITools

Collection of AI-related utilities. Welcome to submit issues and pull requests /收藏AI相关的实用工具，欢迎提交issues 或者pull requests

awesome-open-climate-science

Awesome Open Atmospheric, Ocean, and Climate Science

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

CogDL

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

DeepFRI

Deep functional residue identification

DIG

A library for graph deep learning research

expert_readed_books

2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，**类，数学类，人物传记书籍

Four-network-datasets-for-device-classification-in-SIoT

graph-fraud-detection-papers

A curated list of fraud detection papers using graph information or graph neural networks

graph_weather

PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

GraphMAE

GraphMAE: Self-supervised Masked Graph Autoencoders

Hands-On-Graph-Neural-Networks-Using-Python

Hands-On Graph Neural Networks Using Python, published by Packt

HiSTGNN

Codes for paper HiSTGNN

interviewtop

MetaTransformer

Meta-Transformer for Unified Multimodal Learning

mmdetection

OpenMMLab Detection Toolbox and Benchmark

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

PyContrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

Python-AI

深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch

pytorch-tutorial

PyTorch深度学习快速入门教程（绝对通俗易懂！）

pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

recommenders

Best Practices on Recommendation Systems

RoseTTAFold

This package contains deep learning models and related scripts for RoseTTAFold

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Specformer

Transformer-based Spectral Graph Neural Networks