ModelOriented

moDel Agnostic Language for Exploration and eXplanation

DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

📍 Interactive Studio for Explanatory Model Analysis

A set of tools to understand what is happening inside a Random Forest

SHAP Plots in R

modelDown generates a website with HTML summaries for predictive models

Explainable Machine Learning in Survival Analysis

Trees are all you need

Compute SHAP values for your tree-based models using the TreeSHAP algorithm

Flexible tool for bias detection, visualization, and mitigation

Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)

Extensions for the DALEX package

Different SHAP algorithms

Model verification, validation, and error analysis

An R wrapper of SHAP python library