qiaodaben Goto Github PK

accidentsseveritypredictionml

Web app to Predict of US traffic accidents severity based on weather conditions like visibility, temperature and weather categories like rain, snow, foggy etc as well as based on US location and the day of the week.

car_accident_severity_prediction

Predict the severity of traffic delays from potential car accidents using gradient boosted trees!

citysiren

dap

Deep model for accident risk prediction over sparse traffic data

dstgcn

codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction

grid2demand

A tool for generating zone-to-zone travel demand based on grid zones and gravity model

gsnet

AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting

how-to-build-a-graph-based-deep-learning-architecture-in-traffic-domain

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain

integrated_modeling_gmns

AMS data Hub that connects all transportation modeling tools based on GMNS format

madgcn

mapconflation

Code for Establishing Multisource Data-Integration Framework for Transportation Data Analytics

mvmt-stn

nycdatasetprocessing

Preprocessing TaxiNYC Data

osm2rn

A simple Python code to extract road network (in Shapefile) from OpenStreetMap (OSM)

pydriosm

Download, read/parse and import/export OpenStreetMap data extracts

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

robustvae

Robuast Variational Autoencoder

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.

sphdm

# SPHDM A Structure based Phish Homology Detection Model (SPHDM) is proposed to detected the phishing web. Thank you for your interests in our work! The dataset we ultilized for training and testing for is reposited in github. Address: https://github.com/qiaodaben/SPHDM/dataset You can download this notebook as well as the well-organized dataset for training and testing. The toy example for visualization is in SPHDM Respository. If you find this work interesting and helpful to your work, please find the citation of the papers as below. Thank you very much. Any question you can email to [email protected]

stgcn_ijcai-18

Spatio-Temporal Graph Convolutional Networks

tptk

A Trajectory Preprocessing Toolkit in Python

traffic-prediction-open-code-summary

Summary of open source code for deep learning models in the field of traffic prediction

trajectory_mining

trajectory mining tool function implement by python

transbigdata

A Python package developed for transportation spatio-temporal big data processing and analysis.