Ziqi-Li/geoshapley

A game theoretic approach to explain the output of any machine learning model.

A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Shapley Interactions and Shapley Values for Machine Learning

Explaining the output of machine learning models with more accurately estimated Shapley values

Multiscale Geographically Weighted Regression (MGWR)

👋 Xplique is a Neural Networks Explainability Toolbox

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Fit interpretable models. Explain blackbox machine learning.