xai by EthicalML

XAI - An eXplainability toolbox for machine learning

created at Jan. 11, 2019, 8 p.m.

Python

44 +0

1,066 +2

160 +0

GitHub
what-if-tool by PAIR-code

Source code/webpage/demos for the What-If Tool

created at Sept. 7, 2018, 8:26 p.m.

HTML

29 +0

888 +2

162 +0

GitHub
shapash by MAIF

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

created at April 29, 2020, 7:34 a.m.

Jupyter Notebook

37 +0

2,649 +2

321 +0

GitHub
shap by shap

A game theoretic approach to explain the output of any machine learning model.

created at Nov. 22, 2016, 7:17 p.m.

Jupyter Notebook

241 +0

21,717 +37

3,177 +6

GitHub