Tool
scikit-learn machine learning library
scikit-learn: machine learning in Python
AIPOCH Network
Tools, methods, and workflows to bring into your own research.
Tool
scikit-learn: machine learning in Python
Tool
Analyze human mobility patterns and generate synthetic trajectories from mobility models.
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Analyze and calibrate radio-frequency and microwave networks and measurements.
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SciPy library main repository
Documentation
Tutorial entry point from the SciPy documentation, pinned to the GitHub revision observed during the pilot. Follow upstream documentation for prerequisites and current guidance.
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Fit spatial and spatiotemporal generalized linear mixed models and predict species distributions.
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Statistical data visualization in Python
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Measure and decompose residential segregation using population groups and spatial units.
Catalog snapshot 2026-09-22. Date ranges use UTC. Filters use the captured page time; results can change with a new catalog snapshot. Research stays at its original source.