Popular GitHub Repositories for Assurance

extendable code review and QA agent ?

ML/AI meta-model, used in MLRun/Iguazio/Nuclio, see qgate-sln-<MLRun | solution>

MLRun/Iguazio/Nuclio quality gate solution. The solution checks a quality of MLRun implementation/delivery.

Synthetic Data Quality Assurance ?

Security Control Knowledge Graph

This repository serves as a comprehensive resource for integrating machine learning with security operations, offering innovative cybersecurity strategies. It features a mix of practical code examples, insightful research, and valuable resources tailored for advancing AI/ML cyber security practices.

DPLL(T)-based Verification tool for DNNs

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

A pill quality control dataset and associated anomaly detection example

ARLIN is a research library written in Python that provides explainability outputs and vulnerability detection for DRL models, specifically designed to increase model assurance and identify vulnerabilities and potential points of failure within a trained model. https://mitre.github.io/arlin/

Build confidence in your AI with systematic slice-based testing

? A curated list of resources for testing AI agents - frameworks, methodologies, benchmarks, tools, and best practices for ensuring reliable, safe, and effective autonomous AI systems

Conformity inspection of electronic boards based on industrial vision ( Inspection de conformité des cartes électroniques PCB par la vision industrielle )

A comprehensive guide and checklist on how QA Engineers—manual or automation—can work effectively with ChatGPT to speed up test planning, improve documentation, generate test cases, troubleshoot bugs, and more.

This project focuses on efficient machine translation for nine Indic languages using the fine-tuned Gemma2-2B LLM and adapter switching, reducing computational overhead. It also leverages agentic methods and the Groq API for quality assurance and accurate translation analysis between source and target segments.

AI-optimised audit sheets for systematic code quality assessment in Next.js projects. Transform manual auditing into structured, agent-driven quality assurance.

Results from program Safety Assurance in Complex Aerospace Digital Systems that include AI/ML, funded by the FAA

Poet Multi-Agent with quality assurance capabilities

This project is open-source and licensed under the MIT License. You are free to use, modify, and distribute the code with attribution.

Repository showcasing my Machine Learning Engineering Apprenticeship at AXA-Direct Assurance, contributing to the development and implementation of Machine Learning solutions.