GoogleCloudPlatform/automlops
Build MLOps Pipelines in Minutes
This tool helps data science teams and MLOps engineers quickly set up and manage continuous integration/continuous delivery (CI/CD) pipelines for machine learning models. You provide your machine learning model code, and it generates the complete infrastructure and automation needed to deploy, monitor, and retrain your models. This means you can get your experimental models into production faster and with less manual effort.
258 stars.
Use this if you are a data scientist or MLOps engineer looking to automate the entire lifecycle of your machine learning models on Google Cloud, from development to deployment and monitoring.
Not ideal if you are working with on-premise infrastructure or require a highly customized, non-standard MLOps setup that isn't compatible with the supported Google Cloud services.
Stars
258
Forks
44
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 22, 2026
Commits (30d)
0
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