Interesting resources related to XAI (Explainable Artificial Intelligence)
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Updated
May 31, 2022 - R
Interesting resources related to XAI (Explainable Artificial Intelligence)
📍 Interactive Studio for Explanatory Model Analysis
Fast approximate Shapley values in R
Explainable Machine Learning in Survival Analysis
Model Agnostics breakDown plots
SHAP Plots in R
Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
Model verification, validation, and error analysis
Different SHAP algorithms
Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN
Data generator for Arena - interactive XAI dashboard
Friedman's H-statistics
Surrogate Assisted Feature Extraction in R
Machine learning explanations
Implementation of the Anchors algorithm: Explain black-box ML models
Variable importance via oscillations
Visualize correlations between variables
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