GitHub topic

responsible-ai GitHub repositories

Explore 8 tracked GitHub repositories tagged responsible-ai. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 18 stars since the previous daily snapshot.

Tracked repositories: 8
Total stars: 41,117
Stars gained · 7 days: +177
Stars gained · 30 days: +377

Compare star activity

Up to five projects on this page, ordered by daily star growth. Open a project for its description and recorded star history.

Swipe to compare all star periods →

Star activity for responsible-ai repositories on this page
Repository	Total stars	Today	7 days	30 days
microsoft/PyRIT	4.7K	+9	+120	+147
Giskard-AI/giskard-oss	5.9K	+6	+18	+91
fairlearn/fairlearn	2.3K	+2	+4	+15
EthicalML/awesome-production-machine-learning	21.0K	+1	+23	+86
chrisliu298/awesome-llm-unlearning	637	+0	+5	+14

Explore repositories

Showing 1–8 of 8 tracked repositories.

microsoft/PyRIT

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.

★ 4.7K+9 todayPython

generative-ai responsible-ai

View ↗

Giskard-AI/giskard-oss

🐢 Open-Source Evaluation & Testing library for LLM Agents

★ 5.9K+6 todayPython

llm mlops

View ↗

fairlearn/fairlearn

A Python package to assess and improve fairness of machine learning models.

★ 2.3K+2 todayPython

ai machine-learning

View ↗

EthicalML/awesome-production-machine-learning

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

chrisliu298/awesome-llm-unlearning

A resource repository for machine unlearning in large language models

TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.

HowieHwong/TrustLLM

[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety, fairness, robustness, privacy and ethics. Python/CLI toolkit for local models, compatible APIs and AI agent orchestration.

microsoft/responsible-ai-toolbox

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.

responsible-ai GitHub repositories

Compare star activity

Explore repositories

microsoft/PyRIT

Giskard-AI/giskard-oss

fairlearn/fairlearn

EthicalML/awesome-production-machine-learning

chrisliu298/awesome-llm-unlearning

TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

HowieHwong/TrustLLM

microsoft/responsible-ai-toolbox

Sign in to continue

Loading

Account settings

Delete listing?