mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
1829
260
Explaining datasets and models
what-if-tool
Source code/webpage/demos for the What-If Tool
646
127
AIF360
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.
1674
543
mindsdb
In-Database Machine Learning
6131
657
responsibly
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
63
13
ContrastiveExplanation
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
41
6
casme
72
12
fairlearn
A Python package to assess and improve fairness of machine learning models.
1225
295
model-analysis
Model analysis tools for TensorFlow
1147
244
L2X
L2X
Code for replicating the experiments in the paper Learning to Explain: An Information-Theoretic Perspective on Model Interpretation at ICML 2018, by Jianbo Chen, Mitchell Stern, Martin J. Wainwright, Michael I. Jordan.
100
31