Davisy/Convert-Trained-ML-Models-To-Native-Code

How to use m2gen python library to transform a trained machine learning models to native code such a python, php and javascript.

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This tool helps machine learning engineers and developers deploy their trained machine learning models into various native programming languages like Python, PHP, or JavaScript. You input a trained model, and it outputs the model's logic directly as code in your chosen language, ready for integration without needing external ML libraries. It's designed for those who need to embed model predictions directly into applications.

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Use this if you need to integrate a machine learning model's prediction logic directly into a software application using a common programming language without adding heavy machine learning library dependencies.

Not ideal if you need to retrain models, perform complex model evaluations, or use advanced machine learning features beyond basic prediction in your deployed application.

model deployment machine learning engineering application development software integration backend development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 15 / 25

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Jupyter Notebook

License

MIT

Last pushed

Feb 02, 2021

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