TorchSpatiotemporal/tsl
tsl: a PyTorch library for processing spatiotemporal data.
This library helps machine learning researchers build and test neural network models that forecast events or patterns across both space and time, like predicting traffic flow in a city or temperature changes over a region. It takes raw spatiotemporal datasets, preprocesses them, and outputs trained models capable of making predictions. This tool is designed for machine learning engineers and data scientists specializing in advanced forecasting and pattern recognition.
370 stars.
Use this if you are a machine learning researcher or data scientist developing and evaluating neural network models for complex spatiotemporal forecasting problems, especially those involving sensor networks or environmental data.
Not ideal if you need a pre-built, off-the-shelf solution for general time-series forecasting or if you are not comfortable with deep learning frameworks like PyTorch.
Stars
370
Forks
37
Language
Python
License
MIT
Category
Last pushed
Oct 17, 2025
Commits (30d)
0
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