songzhen-neu Goto Github PK

adam-optimizer

Implemented Adam optimizer in python

adgnn

angel

A Flexible and Powerful Parameter Server for large-scale machine learning

autograd

coding an autograd from scratch

awesome-gnn-systems

A list of awesome GNN systems.

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

byteps

A high performance and general framework for distributed training

cagnet

chatglm-6b

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

cogdl

CogDL: An Extensive Research Toolkit for Graphs

dapple

An Efficiency Pipelined Data Parallel Approach for Large Models Training

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

doublesqueeze

drps

dynahb

ecgraph

euler

A distributed graph deep learning framework.

featgraph

galileo

Galileo library for large scale graph training by JD

gatmodeltest

Simple GAT

gatne

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

gbdt

This is a source code of GBDT

getseektime

transfer from https://blog.csdn.net/qiuchenl/article/details/17226633

giraph

Mirror of Apache Giraph

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-learn

graph-learn

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码

graphsaint

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

grpc

The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more