Custom Python/Django CMS - Transparency for Public Projects (used for BERwatch/BLBwatch)
A curated list of awesome machine learning interpretability resources.
Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
H2O.ai Machine Learning Interpretability Resources
A library that implements fairness-aware machine learning algorithms
Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
Chilean Municipalities Information System (SINIM) Wrapper 📈🏛🇨🇱