Themis-ML
VerifiedOpen-source Python library for detecting and mitigating bias in machine learning models. Provides fairness metrics and discrimination-aware training algorithms.
Frameworks Covered
NIST-AI-RMF
Services
bias-detectionbias-mitigationfairness-metrics
About Themis-ML
Themis-ml is a Python library for detecting and mitigating bias in machine learning models. It provides a set of fairness metrics for measuring discrimination, as well as discrimination-aware training algorithms for mitigating bias during model training.
Features
- Fairness metrics (mean difference, normalized difference, disparate impact)
- Discrimination-aware training algorithms
- Pre-processing and post-processing bias mitigation
- Scikit-learn-compatible API
- Supports tabular data classification
Installation
pip install themis-ml
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