mlcommons/ck-mlops
A collection of portable workflows, automation recipes and components for MLOps in a unified CK format. Note that this repository is outdated - please check the 2nd generation of the CK workflow automation meta-framework with portable MLOps and DevOps components here:
This collection of tools helps machine learning engineers and MLOps practitioners automate the often-complex process of benchmarking, optimizing, and deploying machine learning models. It takes in various ML models, datasets, and frameworks, and outputs performance benchmarks, optimized configurations, and deployable ML systems that work across different hardware and software environments. It's designed for professionals managing the lifecycle of ML systems.
No commits in the last 6 months.
Use this if you need to standardize and automate the benchmarking, optimization, and deployment of your ML models across diverse platforms and environments.
Not ideal if you are looking for the latest generation of this framework, as this specific repository is outdated.
Stars
19
Forks
7
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 10, 2024
Commits (30d)
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