hookk's Stars
horovod/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
nael8r/How-To-Write-An-LLVM-Register-Allocator
This repository contains a tutorial for a quick start in how to write a register allocator using LLVM
jupyter/jupyter
Jupyter metapackage for installation, docs and chat
PaddlePaddle/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)
benedekrozemberczki/GraphWaveletNeuralNetwork
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
chainer/chainer
A flexible framework of neural networks for deep learning
justjavac/free-programming-books-zh_CN
:books: 免费的计算机编程类中文书籍,欢迎投稿
khuangaf/PyTorch-Geometric-YooChoose
This is a tutorial for PyTorch Geometric on the YooChoose dataset
graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks
ShiYaya/graph
yazdotai/graph-networks
A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
Qv2ray/Qv2ray
:star: Linux / Windows / macOS 跨平台 V2Ray 客户端 | 支持 VMess / VLESS / SSR / Trojan / Trojan-Go / NaiveProxy / HTTP / HTTPS / SOCKS5 | 使用 C++ / Qt 开发 | 可拓展插件式设计 :star:
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PRML/PRMLT
Matlab code of machine learning algorithms in book PRML
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
v2ray/v2ray-core
A platform for building proxies to bypass network restrictions.
233boy/v2ray
最好用的 V2Ray 一键安装脚本 & 管理脚本
gunrock/gunrock
Programmable CUDA/C++ GPU Graph Analytics
seraphcoin/seraph
Seraph Coin Project 2018
kikohs/graphlab
A framework for large-scale machine learning and graph computation.
turi-code/GraphLab-Create-SDK
SDK for Turi's GraphLab Create.
apple/turicreate
Turi Create simplifies the development of custom machine learning models.
realstolz/powerlyra
Differentiated Computation and Partitioning on Skewed (Natural or Bipartite) Graphs
jegonzal/PowerGraph
PowerGraph: A framework for large-scale machine learning and graph computation.
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
JanusGraph/janusgraph
JanusGraph: an open-source, distributed graph database
intel/graphbuilder
The GraphBuilder library provides functions to construct large scale graphs. It is implemented on Apache Hadoop.
TrustAGI-Lab/Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
Mikoto10032/DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial