Awesome Open Source
Awesome Open Source

awesome-machine-learning-interpretability Awesome

A curated, but probably biased and incomplete, list of awesome machine learning interpretability resources.

If you want to contribute to this list (and please do!) read over the contribution guidelines, send a pull request, or contact me @jpatrickhall.

An incomplete, imperfect blueprint for a more human-centered, lower-risk machine learning. The resources in this repository can be used to do many of these things today. The resources in this repository should not be considered legal compliance advice. alt-text Image credit: H2O.ai Machine Learning Interpretability team, https://awesomeopensource.com/project/h2oai/mli-resources.

Table of Contents

Comprehensive Software Examples and Tutorials

Explainability- or Fairness-Enhancing Software Packages

Browser

Python

R

Machine learning environment management tools

Free Books

Government and Regulatory Documents

Other Interpretability and Fairness Resources and Lists

Review and General Papers

Classes

Interpretable ("Whitebox") or Fair Modeling Packages

C/C++

Python

R

AI Incident Tracker

Alternatives To Awesome Machine Learning Interpretability
Select To Compare


Alternative Project Comparisons
Related Awesome Lists
Top Programming Languages

Get A Weekly Email With Trending Projects For These Topics
No Spam. Unsubscribe easily at any time.
Python (888,878
Learning (75,671
R (62,114
Machine Learning (40,833
Artificial Intelligence (20,093
Awesome List (13,877
Data Science (11,415
Data Mining (2,171
Fairness (411
Xai (205
Explainable Ml (135
Interpretable Machine Learning (131
Interpretable Deep Learning (64
Interpretable Ai (43
Iml (34
Interpretable Ml (29
Accountability (27
Machine Learning Interpretability (14
Fatml (7