muEE leads initiatives in AI, quantum computing, and ethical development. Explore our active and collaborative open-source projects below.
A quantum machine learning framework for integrating hybrid quantum-classical models in AI applications.
A framework for auditing AI models in open-source projects with bias detection and mitigation tools.
An open-source toolset for measuring and reducing the carbon footprint of software builds and deployments.
A neuromorphic computing framework for simulating brain-like architectures on open-source hardware.
An educational toolkit with open textbooks and labs for teaching quantum computing fundamentals to students and developers.
A set of open-source tools for ethical impact assessments in software development and AI projects.
muEE welcomes all contributors, from documentation help to code development. Every contribution helps build a more ethical digital ecosystem.
An experimental project for translating high-level quantum algorithms into optimized qubit instructions.
A sustainability metrics tool for measuring energy efficiency in open-source software repositories.
A discontinued neuromorphic simulation toolkit for spiking neural networks in academic research.