Kyle-Wire/sparc-resilience

SPARC is a physics-constrained spatial machine-learning pipeline that trains an ensemble of geographically-weighted models, validates causal relationships via directed acyclic graphs (DAGs), and simulates "what-if" intervention scenarios with built-in uncertainty quantification. It is designed to be domain-agnostic.

23
/ 100
Experimental
No Package No Dependents
Maintenance 13 / 25
Adoption 1 / 25
Maturity 9 / 25
Community 0 / 25

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Python

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Last pushed

Apr 07, 2026

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