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Open-source Project for Responsible Al Checklists in Machine Learning and Al Development
? Open-Source Evaluation & Testing for AI & LLM systems
The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.
A Python package to assess and improve fairness of machine learning models.
A toolkit that streamlines and automates the generation of model cards
Carefully curated list of awesome data science resources.
A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a must-read for ML practitioners and Software Engineers Transitioning into ML.
[NeurIPS 2023] Sentry-Image: Detect Any AI-generated Images
Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
This is an open-source tool to assess and improve the trustworthiness of AI systems.
Référentiel d'évaluation data science responsable et de confiance