BayesWitnesses/m2cgen
Model-to-code generator that transpiles trained ML models into native code in Java, C, Python, Go, JavaScript, and other languages.
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m2cgen (Model 2 Code Generator) converts trained statistical and machine-learning models into standalone native code implementations with zero external dependencies. It supports exporting models from scikit-learn, LightGBM, XGBoost, and other ML libraries into 15+ target languages including C, Java, Go, Rust, and JavaScript. This enables deploying ML models in environments where Python or ML runtimes are unavailable.
Frequently asked
- What is BayesWitnesses/m2cgen?
- Model-to-code generator that transpiles trained ML models into native code in Java, C, Python, Go, JavaScript, and other languages.
- Is m2cgen open source?
- Yes — BayesWitnesses/m2cgen is open source, released under the MIT license.
- What language is m2cgen written in?
- BayesWitnesses/m2cgen is primarily written in Python.
- How popular is m2cgen?
- BayesWitnesses/m2cgen has 3k stars on GitHub.
- Where can I find m2cgen?
- BayesWitnesses/m2cgen is on GitHub at https://github.com/BayesWitnesses/m2cgen.