Awesome Production Machine Learning
A curated list of open source libraries and tools for deploying, monitoring, versioning, scaling and securing machine learning systems in production, organized by task such as AutoML, feature stores, model serving and explainability.
Awesome Production Machine Learning is a curated list of open source libraries that help teams deploy, monitor, version, scale and secure machine learning systems in production.
Entries are grouped by task, including AutoML, computation and communication optimization, data annotation and synthesis, data pipelines, data storage optimization, data stream processing, deployment and serving, evaluation and monitoring, explainability and fairness, feature stores, industry-strength computer vision, information retrieval, natural language processing, recommender systems, reinforcement learning and robotics, model and experiment management, model storage optimization, and privacy and safety.
The project also links to a companion list for generative AI systems and to a newsletter with curated production machine learning articles and tutorials.