oracle-samples/automlx

This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.

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This project provides sample code demonstrating how to quickly build, train, and understand machine learning models for various tasks. You can input your raw data for classification, regression, forecasting, or anomaly detection, and it outputs a trained model with explanations. Data scientists and machine learning engineers will find these examples useful for accelerating their model development.

No commits in the last 6 months.

Use this if you are a data scientist or machine learning engineer looking for practical examples to quickly implement automated machine learning and model explainability.

Not ideal if you are an end-user without a technical background in machine learning, as these notebooks require coding within a data science platform.

predictive-modeling forecasting anomaly-detection text-analytics image-analysis
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 16 / 25

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UPL-1.0

Last pushed

Jun 25, 2025

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