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

A toolkit that streamlines and automates the generation of model cards

A cautious, explainable AI-like text risk analyzer for local workflows and coding agents.

A platform-neutral analytical Skill that profiles messy data, selects case-adaptive methods, and produces source-backed visual reports for high-stakes decisions.

The IQ Series is a hands-on learning experience for Microsoft IQ: Microsoft's unified intelligence layer for the enterprise, spanning Foundry IQ, Work IQ, and Fabric IQ. The series includes video episodes, Jupyter notebooks, and Azure deployment templates.

💡 Adversarial attacks on explanations and how to defend them

FIBO is a SOTA, first open-source, JSON-native text-to-image model built for controllable, predictable, and legally safe image generation.

Open-source CLI, API, web UI, and reproducible benchmarks for probabilistic AI-generated image detection.

Synthetic fraud graph generator for benchmarking graph-based fraud detection models in financial services.

LangFair is a Python library for conducting use-case level LLM bias and fairness assessments