fairlearn and fairmind
Fairlearn is a Python package providing tools for fairness assessment and improvement in machine learning models, while Fairmind is an open-source ethical AI governance platform that could potentially integrate or utilize tools like Fairlearn for its bias detection and fairness testing functionalities, making them complements where Fairmind could leverage Fairlearn's low-level capabilities.
About fairlearn
fairlearn/fairlearn
A Python package to assess and improve fairness of machine learning models.
Provides dual assessment and mitigation tools: metrics for identifying which demographic groups experience allocation or quality-of-service harms, and algorithms for reducing unfairness across multiple fairness definitions. Implements group fairness constraints that enforce comparable model behavior across specified demographic groups, enabling data scientists to quantify fairness trade-offs against accuracy. Integrates with standard ML workflows through scikit-learn-compatible APIs and includes Jupyter notebooks demonstrating real-world applications in hiring, lending, and admissions scenarios.
About fairmind
adhit-r/fairmind
Ethical AI Governance Platform | Bias Detection | Compliance | Fairness Testing for ML, LLM & Multimodal AI | Open Source
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