1. Explaining datasets and models
  2. Open Source Tools for AI-Projects

Open Source Tools for AI-Projects

Displaying 11 - 20 of 43
AIF360 by Trusted-AI


A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
DALEX by ModelOriented


moDel Agnostic Language for Exploration and eXplanation
shap by slundberg


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


A toolbox to iNNvestigate neural networks' predictions!


Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
ContrastiveExplanation by MarcelRobeer


Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University


Attributing predictions made by the Inception network using the Integrated Gradients method
GEBI by AgaMiko


GEBI: Global Explanations for Bias Identification. Open source code for discovering bias in data with skin lesion dataset
AIX360 by Trusted-AI


Interpretability and explainability of data and machine learning models
what-if-tool by PAIR-code


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