A game theoretic approach to explain the output of any machine learning ...
For calculating global feature importance using Shapley values.
The official implementation of "The Shapley Value of Classifiers in Ense...
Explaining the output of machine learning models with more accurately es...
Fast approximate Shapley values in R
ACV is a python library that provides explanations for any machine learn...
Multi-Touch Attribution
Amazon SageMaker Solution for explaining credit decisions.
A Julia package for interpretable machine learning with stochastic Shapl...
Break Down with interactions for local explanations (SHAP, BreakDown, iB...
An R package for computing asymmetric Shapley values to assess causality...
A lightweight implementation of removal-based explanations for ML models.
Package for a nice and smoothe usage of the shapley value for mlr