Explore a collection of resources and references for managing machine learning operations.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeA curated list of references for MLOps
awesome-mlops has 14k stars on GitHub. It has been forked 2.1k times. It has been in active development since 2020. Its main topics are ai, data-science, devops, engineering.
What is awesome-mlops?
A curated list of references for MLOps
Is awesome-mlops open source?
awesome-mlops is an open-source project.
Is awesome-mlops free?
Yes. awesome-mlops is free and open source — you can use, modify and self-host it.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/visenger-awesome-mlops.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.