oracle-samples/oci-data-science-ai-samples

This repo contains a series of tutorials and code examples highlighting different features of the OCI Data Science and AI services, along with a release vehicle for experimental programs.

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This collection of examples and tutorials helps data scientists and machine learning practitioners quickly develop, train, and deploy machine learning models on Oracle Cloud Infrastructure (OCI). It provides step-by-step guides and code for common tasks, from setting up development environments to orchestrating complex model pipelines. Users gain practical knowledge to leverage OCI's data science capabilities effectively.

292 stars.

Use this if you are a data scientist or ML engineer looking for practical guidance and code examples to build, train, and deploy machine learning solutions using Oracle Cloud Infrastructure's Data Science and AI services.

Not ideal if you are looking for a pre-built, ready-to-use application or if you are not using Oracle Cloud Infrastructure for your machine learning workflows.

Machine Learning Operations Model Training Data Science Workflow Cloud AI ML Deployment
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

292

Forks

225

Language

Jupyter Notebook

License

UPL-1.0

Last pushed

Mar 11, 2026

Commits (30d)

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