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Learning, Working, Living
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Learning, Working, Living

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@POSSF @Smart-home-using-node-red-and-arduino @CASS-AI @RnDAO @TogetherCrew @AI-Talks-Community

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Starred repositories

8 stars written in R
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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.

R 691 84 Updated Feb 21, 2023

An R package that makes xgboost models fully interpretable

R 260 66 Updated Jun 18, 2018

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

R 240 37 Updated Mar 25, 2024

Model Agnostics breakDown plots

R 104 16 Updated Mar 12, 2024

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

R 84 16 Updated Nov 30, 2023

Multi-Objective Counterfactuals

R 43 13 Updated Jul 8, 2022

This repository contains the code for all figures in the paper "General Pitfalls of Model-agnostic Interpretation Methods for Machine Learning Models"

R 15 3 Updated Aug 17, 2021