This repository contains a curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning. Open-source frameworks, tutorials, and articles curated by machine learning professionals. Open-source bias audit toolkits for data scientists, machine learning researchers, and policymakers to audit machine learning models for discrimination and bias, and to make informed and equitable decisions around developing and deploying predictive risk-assessment tools.
Features
- Deploy, monitor, version and scale your machine learning
- A practical framework to develop AI responsibly
- Join the Machine Learning Engineer newsletter
- Receive updates on open source frameworks
- Commercial and no commercial platforms
- Outlier and anomaly detection software
License
MIT LicenseFollow Awesome production machine learning
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