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EthicalML / awesome-production-machine-learning

Star 19.7k

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

machine-learning data-mining awesome deep-learning awesome-list interpretability privacy-preserving production-machine-learning mlops privacy-preserving-machine-learning explainability responsible-ai machine-learning-operations ml-ops ml-operations privacy-preserving-ml large-scale-ml production-ml large-scale-machine-learning
  • Updated Nov 22, 2025

microsoft / responsible-ai-toolbox

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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.

visualization data-science machine-learning widget ui jupyter widgets ml data-visualization data-analysis machinelearning fairness interpretability error-analysis explainable-ai explainable-ml fairness-ai explainability fairness-ml responsible-ai
  • Updated Feb 7, 2025
  • TypeScript

rhesis-ai / rhesis

Star 185

Open-source testing platform & SDK for LLM and agentic applications. Define what your app should and shouldn't do in plain language, and Rhesis generates hundreds of test scenarios, runs them, and shows you where it breaks before production. Built for cross-functional teams to collaborate.

open-source test-generation quality-assessment test-management test-execution responsible-ai trustworthy-ai generative-ai llmops llm-evaluation llm-evaluation-framework
  • Updated Nov 22, 2025
  • Python

serodriguez68 / designing-ml-systems-summary

Star 166

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.

machine-learning artificial-intelligence model-selection feature-engineering mlops feature-store data-distribution responsible-ai responsible-ml model-store
  • Updated Mar 5, 2023

EzgiKorkmaz / adversarial-reinforcement-learning

Star 126

Reading list for adversarial perspective and robustness in deep reinforcement learning.

deep-reinforcement-learning ai-safety machine-learning-security ai-security robust-machine-learning ai-alignment safe-reinforcement-learning robust-reinforcement-learning responsible-ai adversarial-reinforcement-learning secure-ai ml-security llm-security reinforcement-learning-safety llm-safety artificial-intelligence-security artificial-intelligence-alignment robust-deep-reinforcement-learning reinforcement-learning-security large-language-model-safety
  • Updated Jul 25, 2025

AthenaCore / AwesomeResponsibleAI

Star 95

A curated list of awesome academic research, books, code of ethics, courses, databases, data sets, frameworks, institutes, maturity models, newsletters, principles, podcasts, regulations, reports, responsible scale policies, tools and standards related to Responsible, Trustworthy, and Human-Centered AI.

ai awesome-list ai-safety interpretable-ai explainable-ai xai ai-alignment fairness-ai responsible-ai human-centered-ai ethical-ai trustworthy-ai ai-regulation ai-governance ai-standards
  • Updated Nov 22, 2025

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