Hunanglirong's Stars
runnerxin/MVMN
Social Link Inference via Multiview Matching Network From Spatiotemporal Trajectories
eidheim/Simple-Web-Server
A very simple, fast, multithreaded, platform independent HTTP and HTTPS server and client library implemented using C++11 and Boost.Asio. Created to be an easy way to make REST resources available from C++ applications.
Light-City/CPlusPlusThings
C++那些事
jeremycole/innodb_ruby
A parser for InnoDB file formats, in Ruby
Alinshans/MyTinySTL
Achieve a tiny STL in C++11
Allen517/alignment
crossoverJie/JCSprout
👨🎓 Java Core Sprout : basic, concurrent, algorithm
SharingSource/LogicStack-LeetCode
公众号「宫水三叶的刷题日记」刷穿 LeetCode 系列文章源码
enhaofrank/Data-mining-or-data-analysis
数据分析或者数据挖掘工程师面试题整理
jaystone776/python-data-science-cheatsheet
Python数据科学速查表
runnerxin/Paper-Reproduce
Paper-Reproduce
liuhuanyong/Word2Vector
Self complemented word embedding methods using CBOW,skip-Gram,word2doc matrix , word2word matrix ,基于CBOW、skip-gram、词-文档矩阵、词-词矩阵四种方法的词向量生成
gcooq/TUL
Identifying Human Mobility via Trajectory Embeddings(TUL)
stellargraph/stellargraph
StellarGraph - Machine Learning on Graphs
vonfeng/DeepMove
Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network
yongqyu/STRNN
Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts
kite1988/aboutme
About.Me Dataset for User-centric OSN Analysis
chatopera/Synonyms
:herb: 中文近义词:聊天机器人,智能问答工具包
Embedding/Chinese-Word-Vectors
100+ Chinese Word Vectors 上百种预训练中文词向量
huiminren/MTrajRec
Map-Constrained Trajectory Recovery (KDD'21)
whd14/SIMP
whd14/De-anonymization-of-Mobility-Trajectories
De-anonymization algorithm of mobility trajectories
DeqianBai/Hands-on-Machine-Learning
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
FIBLAB/MoveSim
Codes for paper in KDD 2020 (AI for COVID-19): Learning to Simulate Human Mobility
jia-zh/NLP-Resources
A useful list of NLP(Natural Language Processing) resources
VincLee8188/Spatio-temporal-forecasting-PyTorch
Leverage on recent advances in graph convolution and sequence modeling to design neural networks for spatio-temporal forecasting, which including the use of graph convolutional neural networks, gated recurrent units and transformers.
FutureTwT/Code-Reading
Reading the code of papers.
wzhe06/Reco-papers
Classic papers and resources on recommendation
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.