Model Oriented

DALEX

moDel Agnostic Language for Exploration and eXplanation

DrWhy

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.

modelStudio

📍 Interactive Studio for Explanatory Model Analysis

randomForestExplainer

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

modelDown

modelDown generates a website with HTML summaries for predictive models

forester

Trees are all you need

survex

Explainable Machine Learning in Survival Analysis

fairmodels

Flexible tool for bias detection, visualization, and mitigation

iBreakDown

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

treeshap

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

shapviz

R package for SHAP plots

DALEXtra

Extensions for the DALEX package

auditor

Model verification, validation, and error analysis

shapper

An R wrapper of SHAP python library

ingredients

Effects and Importances of Model Ingredients

SAFE

Surrogate Assisted Feature Extraction

DALEX-docs

Documentation for the DALEX project

kernelshap

Efficient R implementation of SHAP

rSAFE

Surrogate Assisted Feature Extraction in R

EloML

R package EloML: Elo rating system for machine learning models

Arena

Interactive XAI dashboard

MAIR

Monitoring of AI Regulations

pyCeterisParibus

Python library for Ceteris Paribus Plots (What-if plots)

localModel

LIME-like explanations with interpretable features based on Ceteris Paribus curves. Now on CRAN.

metaMIMIC

AI-strategies-papers-regulations-monitoring

Monitoring of AI strategies, papers, and regulations

FairPAN

piBreakDown

python version of iBreakDown

DrWhyTemplate

mogger

Logger for Predictive Models