responsible-ai

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Independent Auditing of AI Agents. Run by human or the agent itself, to answer the most crucial question in the AI Agent Economy. Is the agent doing what is supposed to do? With iFixAi you can have this answer in less than 120 seconds.

🐢 Open-Source Evaluation & Testing library for LLM Agents

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.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

Open-source pipeline and reference implementations for improving the readability and natural cadence of AI-assisted drafts.

moDel Agnostic Language for Exploration and eXplanation

RAG Time: A 5-week Learning Journey to Mastering RAG

A resource repository for machine unlearning in large language models

Deliver safe & effective language models