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TensorRT

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

plato

腾讯高性能分布式图计算框架Plato

PASS-reID

[ECCV2022] PASS: Part-Aware Self-Supervised Pre-Training for Person Re-Identification

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

kubernetes-handbook

Kubernetes中文指南/实践手册

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

Awesome-Federated-Machine-Learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

SpreadGNN

SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

nextdoor-experiments

Literatures-on-GNN-Acceleration

A reading list for deep graph learning acceleration.

ClusterGCN

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

stochastic_gcn

Stochastic training of graph convolutional networks

graphsage-simple

Simple reference implementation of GraphSAGE.

deepwalk

DeepWalk - Deep Learning for Graphs

KDD2021_CNFGNN

Official PyTorch implementation of "Cross-Node Federated Graph Neural Network for Spatio-Temporal Modeling".

euler

A distributed graph deep learning framework.

graph-learn

An Industrial Graph Neural Network Framework

GCFL

This repository is the implementation of Federated Graph Classification over Non-IID Graphs.

gnome-runcat

😼 The cat tells you the CPU usage by running speed

WWW20-Hands-on-Tutorial

Materials for DGL hands-on tutorial in WWW 2020

IGMC

Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".

Social-Recommendation

Summary of social recommendation papers and codes

gcmc

Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)

gc-mc

FedMF

dorylus

Dorylus: Affordable, Scalable, and Accurate GNN Training

mgcnn

Multi-Graph Convolutional Neural Networks

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology