https://github.com/kelvins/awesome-mlops

This is a curated list of awesome MLOps (Machine Learning Operations) tools. MLOps is a practice for collaboration and communication between data scientists and operations professionals to help manage production ML lifecycle. It is similar to the DevOps or DataOps approaches but focused on Data Science.

This awesome list can help machine learning engineers, software engineers, data scientists, and other IT professionals to learn more about MLOps and to find very helpful tools.

By submitting this pull request I confirm I've read and complied with the below requirements.

Failure to properly do so will just result in the pull request being closed and everyone's time wasted. Please read it twice. Most people miss many things.

[x] I have read and understood the contribution guidelines.
[x] This pull request has a descriptive title. For example, Add [Name of List], not Update readme.md or Add an awesome list.
[x] The list I added has been around for at least 20 days,
[x] The list I added is a non-generated Markdown file in a GitHub repo,
[x] The list I added is not a duplicate

bayandin / awesome-awesomeness

Add MLOps #420

By submitting this pull request I confirm I've read and complied with the below requirements.