Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data
☆57Jun 30, 2021Updated 5 years ago
Alternatives and similar repositories for NYC-Dataset
Users that are interested in NYC-Dataset are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for ECMLPKDD'23 "FDTI: Fine-grained Deep Traffic Inference with Roadnet-enriched Graph"☆12Jul 24, 2023Updated 3 years ago
- few-shot models for short-term traffic prediction☆17Apr 8, 2023Updated 3 years ago
- A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data☆16Dec 5, 2021Updated 4 years ago
- Traffic data processing tools in LibCity☆241Jun 22, 2023Updated 3 years ago
- [CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)☆59Aug 21, 2022Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- This is the repository for the collection of Graph Neural Network for Traffic Forecasting.☆1,214Aug 7, 2024Updated 2 years ago
- [Information Fusion] "Integrating the Urban Science with Deep Learning for City-wide Network Congestion Prediction" by Wenqing Zheng, Hao…☆14Jul 21, 2023Updated 3 years ago
- source codes of TASSGN☆12Mar 11, 2024Updated 2 years ago
- ☆14Jan 25, 2023Updated 3 years ago
- Code accompanying our NeurIPS 2022 traffic4cast challenge☆85Apr 20, 2023Updated 3 years ago
- This is an implementation of a traffic speed predicition model.☆10Oct 27, 2022Updated 3 years ago
- The official implementation of ChatTraffic.☆52Jan 14, 2025Updated last year
- ☆29May 16, 2023Updated 3 years ago
- ☆23Nov 19, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆203Dec 12, 2024Updated last year
- ☆22Oct 11, 2018Updated 7 years ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆140Jul 2, 2024Updated 2 years ago
- a pytorch version implement of paper "Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning"☆12Jul 19, 2022Updated 4 years ago
- Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction☆18Sep 17, 2023Updated 2 years ago
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆42Jun 3, 2021Updated 5 years ago
- LibCity: An Open Library for Urban Spatial-temporal Data Mining☆1,156Dec 18, 2024Updated last year
- ☆19Apr 17, 2022Updated 4 years ago
- Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)☆229Jan 9, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆32Sep 13, 2024Updated last year
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆233Oct 25, 2023Updated 2 years ago
- [IJCAI 2024] This it the official github for IJCAI24 paper "Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning"☆15Sep 27, 2024Updated last year
- Summary of Spatio-Temporal Representation Learning Models.☆83Jan 26, 2023Updated 3 years ago
- [ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics…☆96Apr 5, 2024Updated 2 years ago
- [TRC] PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.☆17Apr 5, 2021Updated 5 years ago
- ☆40Mar 28, 2022Updated 4 years ago
- [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆41Sep 2, 2025Updated 11 months ago
- Reconstruction of DeepST☆117Jan 1, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆12Feb 4, 2022Updated 4 years ago
- Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting, TITS 2019☆10Jan 3, 2020Updated 6 years ago
- ☆33Oct 18, 2024Updated last year
- Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach (TITS)☆20Nov 22, 2024Updated last year
- ☆19Aug 20, 2023Updated 2 years ago
- ☆13Jul 4, 2022Updated 4 years ago
- The PyTorch implementation of the paper "AutoCTS: Automated Correlated Time Series Forecasting".☆19Jan 21, 2022Updated 4 years ago