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m2cgen

Appears in 16 awesome lists

Transpile trained ML models into other languages. sklearn-porter - Transpile trained scikit-learn estimators to C, Java, JavaScript and others. mlflow - Manage the machine learning lifecycle, including experimentation, reproducibility and deployment. skll - Command-line utilities to make it easier…

Open github.combayeswitnesses/m2cgen

Found in these lists

Awesome C++

Section: Machine Learning · A CLI tool to transpile trained classic ML models into a native C code with zero dependencies. [MIT]

FreshScore 94

Awesome Dart

Section: Tools · A CLI tool to transpile trained classic ML models into a native Dart code with zero dependencies.

ActiveScore 70

Awesome Elixir

Section: Artificial Intelligence · A CLI tool to transpile trained classic ML models into a native Elixir code with zero dependencies.

SlowScore 65

Awesome-Embedded

Section: Machine Learning & AI on MCU · A CLI tool which allows to transpile trained classic ML models into a native code of various programming languages with zero dependencies including C.

FreshScore 85

Awesome Flutter

Section: Machine Learning · [2915 ] - CLI tool to convert ML models into native Dart code by BayesWitnesses.

FreshScore 88

Awesome F#

Section: Data Science · A CLI tool to transpile trained classic ML models into a native F# code with zero dependencies.

SlowScore 67

Awesome Go

Section: Machine Learning · A CLI tool to transpile trained classic ML models into a native Go code with zero dependencies, written in Python with Go language support.

FreshScore 94

Awesome Go

Section: 机器学习 · star:2952 这是一个CLI工具,可以将经过训练的经典ML模型转换成零依赖的本地Go代码,使用Python编写,并支持Go语言。

FreshScore 89

Awesome Haskell

Section: Data Science · A CLI tool to transpile trained classic ML models into a native Haskell code with zero dependencies.

FreshScore 77

Awesome JavaScript

Section: Machine Learning · A CLI tool to transpile trained classic ML models into a native JavaScript code with zero dependencies.

FreshScore 88

Awesome Machine Learning

Section: Tools · A tool that allows the conversion of ML models into native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart) with zero dependencies.

FreshScore 93

Awesome PowerShell

Section: Misc · A CLI tool to transpile trained classic ML models into a native PowerShell code with zero dependencies.

ArchivedScore 54

Awesome Ruby

Section: Machine Learning · A CLI tool to transpile trained classic ML models into a native Ruby code with zero dependencies.

FreshScore 88

Awesome Data Science with Python

Section: General · Transpile trained ML models into other languages. sklearn-porter - Transpile trained scikit-learn estimators to C, Java, JavaScript and others. mlflow - Manage the machine learning lifecycle, including experimentation, reproducibility and deployment. skll - Command-line utilities to make it easier…

FreshScore 82

Awesome C

Section: AI · A CLI tool to transpile trained classic ML models into a native C code with zero dependencies. MIT

FreshScore 90

Awesome Rust

Section: Transpiling · A CLI tool to transpile trained classic machine learning models into a native Rust code with zero dependencies.

FreshScore 94

XGBoost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow. [Apache2]

In 11 listsDetails

CatBoost

General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.

In 10 listsDetails

Caffe

is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.

In 10 listsDetails

FAISS

is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete…

In 8 listsDetails

dlib

zap: - A toolkit for making real world machine learning and data analysis applications in C++. [Boost] website

In 7 listsDetails

USearch

Fast single-file similarity search & clustering engine for vectors. Smaller and faster than FAISS with 20+ language bindings (C++, Python, JavaScript, Rust, Java, Go, etc.) and support for custom metrics. Apache 2.0 licensed.

In 6 listsDetails

ncnn

High-performance neural network inference framework optimized for mobile platforms. No third-party dependencies, cross-platform, and runs faster than all known open-source frameworks on mobile CPU. Powers Tencent apps including QQ, WeChat, and Pitu. BSD-3-Clause licensed.

In 6 listsDetails

mlpack

A scalable C++ machine learning library (Python bindings).

In 6 listsDetails