deepkashiwa20 Goto Github PK
Name: Renhe Jiang
Type: User
Company: The University of Tokyo
Bio: Lecturer at The University of Tokyo
Location: Tokyo
Blog: www.renhejiang.com
Name: Renhe Jiang
Type: User
Company: The University of Tokyo
Bio: Lecturer at The University of Tokyo
Location: Tokyo
Blog: www.renhejiang.com
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
An Open Source Standard Time Series Forecasting Benchmark.
LibCity: An Open Library for Traffic Prediction
Working projects for forecasting traffic flow at accidents and incidents
Benchmarks for popular CNN models
Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.
[TKDE 2021 Paper] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction
[ACM TIST 2021] [KDD 2019 Paper Applied Data Science Track] DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events
[CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Graph Part)
[CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)
[AAAI'22] Event-Aware Multimodal Mobility Nowcasting
Pytorch Implementation of ICDE'21 Paper: Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks
Official repo to paper
[ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting
Fast map matching, an open source framework in C++
An implementation of GCRN backbone.
hottoSNS-BERT: 大規模SNSコーパスによる文分散表現モデル
[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
[CVPR2022] Remember Intentions: Retrospective-Memory-based Trajectory Prediction
[ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.