m2cgen

Code generator

Transforms trained machine learning models into native code for various programming languages.

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

GitHub

3k stars
50 watching
241 forks
Language: Python
last commit: about 2 years ago
Linked from 20 awesome lists

ccsharpdartlanggohaskelljavajavascriptlightgbmlightningmachine-learningphppythonrrubyrustscikit-learnstatistical-learningstatsmodelsxgboost

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
pymc-devs/pymcA Python package for Bayesian statistical modeling and probabilistic programming8,786
minimaxir/automl-gsAutomates machine learning model creation and optimization for complex datasets1,857
ml-tooling/opyratorAutomates conversion of machine learning code into production-ready microservices with web API and GUI.3,116
jphall663/interpretable_machine_learning_with_pythonTeaching software developers how to build transparent and explainable machine learning models using Python673
huggingface/text-generation-inferenceA toolkit for deploying and serving Large Language Models (LLMs) for high-performance text generation9,456
dotnet/machinelearningA cross-platform machine learning framework for .NET that enables developers to build, train, and deploy models without prior expertise in ML.9,071
mlpack/mlpackA C++ machine learning library with bindings to other languages and bindings for multiple programming languages.5,151
eriklindernoren/ml-from-scratchProvides implementations of fundamental machine learning models and algorithms from scratch in Python24,092
replicate/cogA tool for packaging and deploying machine learning models in a standard, production-ready container environment.8,169
h2oai/mli-resourcesProvides tools and techniques for interpreting machine learning models483
dotnet/machinelearning-samplesA collection of samples and examples demonstrating the usage of ML.NET for machine learning tasks in .NET applications.4,508
ddbourgin/numpy-mlA collection of machine learning algorithms implemented in NumPy for rapid experimentation and prototyping.15,789
mljar/mljar-supervisedAutomated Machine Learning library for Python that streamlines data preparation, model selection, and hyperparameter tuning for tabular data.3,081
pycaret/pycaretAn automation tool for machine learning workflows in Python9,026
mljs/mlA collection of machine learning algorithms and tools implemented in JavaScript2,632