oracle/oci-mlflow
The Oracle Cloud Infrastructure (OCI) MLflow plugin empowers users of OCI by providing seamless integration with OCI resources, allowing them to effectively manage the entire life cycle of their machine learning use cases.
This tool helps data scientists and machine learning engineers manage their machine learning projects on Oracle Cloud Infrastructure. It allows you to run experiments, log model artifacts and performance metrics from your notebooks, and then catalog and deploy those models. You can also run batch workloads, integrating your code and data with OCI services.
Available on PyPI.
Use this if you are a data scientist or ML engineer using Oracle Cloud Infrastructure and need a unified way to track experiments, manage models, and deploy them.
Not ideal if you are not using Oracle Cloud Infrastructure or are looking for a standalone machine learning platform that doesn't integrate with specific cloud services.
Stars
29
Forks
5
Language
Python
License
UPL-1.0
Category
Last pushed
Jan 30, 2026
Commits (30d)
0
Dependencies
2
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