Model Agnostics breakDown plots
[CVPR2021] "Visualizing Adapted Knowledge in Domain Transfer". Visualiza...
Explainable Machine Learning in Survival Analysis
The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learn...
Model Agnostic Counterfactual Explanations
Break Down with interactions for local explanations (SHAP, BreakDown, iB...
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
SurvSHAP(t): Time-dependent explanations of machine learning survival mo...
FairPut - Machine Learning Fairness Framework with LightGBM — Explainabi...
Interesting resources related to Explainable Artificial Intelligence, In...
Adaptive, interpretable wavelets across domains (NeurIPS 2021)
ExpMRC: Explainability Evaluation for Machine Reading Comprehension
Model verification, validation, and error analysis
Library implementing state-of-the-art Concept-based and Disentanglement ...
A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Pr...