Time Series Forecasting as Supervised Learning Python

[NeurIPS 2025] How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning

All six datasets are already provided. The PEMS-BAY dataset is provided in zip file due to the limitation of file size. You just need to unzip the file in the PEMSBAY folder. Run following commands to ...

GitHub

Deep learning models for traffic prediction

ACFM ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction Pytorch ACM MM2018/A STDN Revisiting spatial-temporal similarity: A deep learning framework for traffic prediction Keras AAAI2019/A ...

Frontiers

GeoGuard-PTI: a geo-temporal predictive threat intelligence framework with spatiotemporal attack forecasting and closed-loop adaptive defense

AI-Driven Offensive and Defensive Security for Web and IoT Systems ...

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[NeurIPS 2025] How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning

Deep learning models for traffic prediction

GeoGuard-PTI: a geo-temporal predictive threat intelligence framework with spatiotemporal attack forecasting and closed-loop adaptive defense

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