README
Awesome MLOps 
An awesome list of references for MLOps - Machine Learning Operations :point_right: ml-ops.org
Linkedin Dr. Larysa Visengeriyeva
This repository compiles a curated list of essential references and resources for Machine Learning Operations (MLOps).
It's an extensive "awesome list" primarily contained within its `README.md`, organized into specific MLOps domains, from core concepts and workflow management to infrastructure and ethical AI. The `README.md` provides a detailed table of contents, directing users to external articles, books, papers, and tools categorized by topics like "MLOps: Feature Stores" and "MLOps: Model Deployment and Serving".
This repository compiles a curated list of essential references and resources for Machine Learning Operations (MLOps).
Machine learning engineers, data scientists, and software developers building or managing ML systems will find this resource valuable.
An awesome list of references for MLOps - Machine Learning Operations :point_right: ml-ops.org
Linkedin Dr. Larysa Visengeriyeva