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
Model Agnostics breakDown plots
Explainable Machine Learning in Survival Analysis
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.
R package for SHAP plots
Model verification, validation, and error analysis
Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN
Efficient R implementation of SHAP
Data generator for Arena - interactive XAI dashboard
Surrogate Assisted Feature Extraction in R
Friedman's H-statistics
Machine learning explanations
Implementation of the Anchors algorithm: Explain black-box ML models
Variable importance via oscillations
Visualize correlations between variables
Triplot: Instance- and data-level explanations for the groups of correlated features.
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