EthicalML/awesome-production-machine-learning
A curated list of open-source libraries for deploying, monitoring, versioning, scaling, and securing machine learning models in production.
Core Features
Detailed Introduction
This project serves as a vital resource for machine learning engineers and data scientists seeking to operationalize their ML models. It meticulously curates a broad spectrum of open-source libraries essential for the entire MLOps lifecycle, encompassing deployment, monitoring, version control, scalability, and security. By organizing tools into distinct categories like AutoML, Feature Stores, and Model Training, it simplifies the discovery process for robust production-grade ML solutions. The inclusion of a search toolkit and regular updates ensures users stay informed about the latest advancements in the MLOps ecosystem.