wherobots/GeoTorchAI
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
This framework helps scientists, urban planners, and environmental analysts use deep learning for tasks like classifying satellite imagery or forecasting weather and traffic. It takes raw or preprocessed geographical data, such as satellite images or sensor readings, and generates predictions, classifications, or insights about spatial and temporal phenomena. Anyone working with large-scale location-based data who needs to build predictive models would find this useful.
514 stars. No commits in the last 6 months.
Use this if you need to build and train deep learning models for complex spatiotemporal data, such as predicting traffic flow or classifying land use from satellite images, and require scalable processing.
Not ideal if your data is purely tabular, non-spatial, or if you need to perform basic statistical analysis rather than deep learning predictions.
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514
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Jupyter Notebook
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AGPL-3.0
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Last pushed
Oct 22, 2023
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