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A curated guide to learning machine learning with Python and Jupyter Notebook, featuring courses, notebooks, and practical resources.
A curated guide to learning machine learning with Python and Jupyter Notebook, featuring hands-on tutorials, courses, and ethical considerations.
A friendly JavaScript library that makes machine learning accessible in the browser for artists, creative coders, and students.
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.
A curated list of resources for understanding, measuring, and mitigating fairness issues in artificial intelligence and machine learning systems.
A Python library implementing fairness-aware machine learning algorithms for measuring and mitigating discrimination in predictive models.
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