zhangtanma Goto Github PK

6.828

Solution to homework and assignments from MIT's 6.828 (Operating Systems Engineering).

awesome-blockchain-cn

收集所有区块链(BlockChain)技术开发相关资料，包括Fabric和Ethereum开发资料

awesome-gnns-on-large-scale-graphs

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

blockchain

区块链 - 中文资源

blockchain-papers

A curated list of academic blockchain-related papers

casitlab

读研不迷茫。。。。

computer-networking-a-top-down-approach-notes

《计算机网络－自顶向下方法(原书第6版)》编程作业，Wireshark实验文档的翻译和解答。

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

deeplearningntu

gnn4traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

machinelearnninginaction

mit6.828_os

MIT 6.828 Lab https://pdos.csail.mit.edu/6.828/2018/schedule.html

noelsjw63.github.io

pgl

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

precipitation-nowcasting

pytorch implemention of trajGRU.

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

spatio-temporal-paper-list

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

spatio-temporal-papers

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

st-metanet

The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"

stanford-algorithm-course

stgcn-pytorch

🚗 Implementation of spatio-temporal graph convolutional network with PyTorch

stgcn_ijcai-18

Spatio-Temporal Graph Convolutional Networks

traffic-benchmark

tsinghua-os

Personal exercise for lab and projects for Tsinghua Operating System course taught by Professor Xiang Yong

wechatplugin-macos