A game theoretic approach to explain the output of any machine learning ...
Python package for AutoML on Tabular Data with Feature Engineering, Hype...
Quickly build Explainable AI dashboards that show the inner workings of ...
A python package for simultaneous Hyperparameters Tuning and Features Se...
Automated Tool for Optimized Modelling
Validation (like Recursive Feature Elimination for SHAP) of (multiclass)...
Explainable Machine Learning in Survival Analysis
A Julia package for interpretable machine learning with stochastic Shapl...
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
SurvSHAP(t): Time-dependent explanations of machine learning survival mo...
An R package for computing asymmetric Shapley values to assess causality...
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
Local explanations with uncertainty 💐!