-
WassersteinGlobalness Public
Source code for the Wasserstein Globalness method
-
shared_utils Public
Miscellaneous functions used for various projects
Python MIT License UpdatedMay 21, 2025 -
BivariateShapley Public
Bivariate Shapley is a Shapley-based method of identifying directional feature interactions and feature redundancy
-
-
GPEC Public
Implementation of GPEC and related experiment code, as described in "Boundary-Aware Uncertainty for Feature Attribution Explainers"
-
saliency_evaluation Public
Forked from chihkuanyeh/saliency_evaluationPython implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for evaluating any saliency explanations.
Python Other UpdatedJan 29, 2024 -
cxplain Public
Forked from d909b/cxplainCausal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
Python MIT License UpdatedJun 2, 2023 -
{{ message }}