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A curated list of awesome open-source libraries for deploying, monitoring, versioning, and scaling production machine learning systems.
A curated list of awesome open-source libraries for deploying, monitoring, versioning, and scaling production machine learning systems.
A curated list tracking current scary and unethical uses of AI to raise awareness of its societal misuses.
A curated list of practical resources for responsible machine learning, covering interpretability, governance, safety, and ethics.
An extensible open-source toolkit for detecting, mitigating, and explaining bias in machine learning datasets and models.
A curated collection of AI guidelines, principles, ethics frameworks, regulations, and practical tools for responsible AI development.
A Python toolbox for explainable AI, providing tools for data analysis, model evaluation, and bias mitigation in machine learning.
An open-source toolkit for auditing bias and experimenting with fairness methods in machine learning models.
A toolkit that streamlines and automates the generation of model cards for machine learning models.
A Python toolbox for auditing machine learning models to detect and quantify bias in black-box predictions.
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