core-ml/coreml

Generic framework for ML projects

34
/ 100
Emerging

This framework helps machine learning engineers rapidly experiment with and train new models for classification tasks. It streamlines the entire process, from data handling and preprocessing to defining network architectures and optimizing training. Users provide their structured dataset and configuration preferences, receiving trained models and detailed experiment logs as output.

No commits in the last 6 months.

Use this if you are a machine learning engineer looking for a standardized, configurable way to quickly prototype and train classification models while ensuring experiment replicability.

Not ideal if you are a business user without a technical background, as this tool requires familiarity with machine learning concepts and command-line operations.

machine-learning-engineering model-training experiment-management deep-learning classification
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 12 / 25

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Stars

19

Forks

3

Language

Python

License

MIT

Last pushed

Dec 08, 2022

Commits (30d)

0

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