Useful tools for pulling data from CalTrans-PeMS.

Spatio-Temporal Prediction Paper List

Open-source Windows and Office activator featuring HWID, Ohook, KMS38, and Online KMS activation methods, along with advanced troubleshooting.

A package to download ECMWF open data

WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster

Code and data for the manuscript "Optimal, near-optimal, and robust epidemic control"

Access and analyze historical weather and climate data with Python.

Traffic accident prediction using graph neural networks

A dataset for traffic accident analysis in the US

Predicting Citi Bike trip demand and analyzing need for bike rebalancing

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

Official Code for FedGCN [NeurIPS 2023]

Forked and modified from HiggsCP package

code for "Training Interpretable Convolutional NeuralNetworks by Differentiating Class-specific Filters"

Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.

Crawl traffic data from PEMS

working on some exploratory visualizations

Repository for benchmarking graph neural networks

Awesome Person Re-identification

Exploring California's traffic by using OmniSci tools

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

A Curated List of Must-read Papers on Recommender System.

Recommender System Papers

Docs of LibCity

Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch

Quantify the difference between two arbitrary curves in space

Implementation for the paper "Extrapolating paths with graph neural networks"

A curated list of community detection research papers with implementations.

Urban Morphology Measuring Toolkit

An R package for climate data bias correction and downscaling (part of the climate4R bundle)