Awesome Design Patterns curates software and architecture design patterns with explanations and references.
visenger/awesome-mlops
This repository curates references and resources for machine learning operations.
About visenger/awesome-mlops
visenger/awesome-mlops is a GitHub repository that collects references for MLOps, or Machine Learning Operations. Resources are grouped by topic, including core concepts, communities, books, articles, workflow management, feature stores, data engineering, model deployment and serving, testing and monitoring, infrastructure, papers, talks, and newsletters.
Key features
- Curated references for MLOps core concepts and production practices
- Lists of books on machine learning engineering and operations
- Collections of articles on continuous delivery for machine learning
- Sections on workflow management, feature stores, and data engineering
- Links to model deployment, testing, monitoring, and infrastructure resources
- Directories of communities, courses, talks, and newsletters
Best for: Best for students and practitioners in machine learning operations seeking organized reading and reference links.
Good for
- Organized by topic with a table of contents
- Includes books, articles, papers, talks, courses, and communities
- Covers workflow, deployment, monitoring, infrastructure, and governance topics
visenger/awesome-mlops at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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visenger/awesome-mlops FAQ
What is this repository?
A curated list of references for MLOps, or Machine Learning Operations.
How can I contribute to the list?
Create an account on GitHub to contribute to its development.
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