Awesome C++
Section: Machine Learning · A CLI tool to transpile trained classic ML models into a native C code with zero dependencies. [MIT]
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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…
Section: Machine Learning · A CLI tool to transpile trained classic ML models into a native C code with zero dependencies. [MIT]
Section: Tools · A CLI tool to transpile trained classic ML models into a native Dart code with zero dependencies.
Section: Artificial Intelligence · A CLI tool to transpile trained classic ML models into a native Elixir code with zero dependencies.
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.
Section: Machine Learning · [2915 ] - CLI tool to convert ML models into native Dart code by BayesWitnesses.
Section: Data Science · A CLI tool to transpile trained classic ML models into a native F# code with zero dependencies.
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.
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。
Section: Data Science · A CLI tool to transpile trained classic ML models into a native Haskell code with zero dependencies.
Section: Machine Learning · A CLI tool to transpile trained classic ML models into a native JavaScript code with zero dependencies.
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.
Section: Misc · A CLI tool to transpile trained classic ML models into a native PowerShell code with zero dependencies.
Section: Machine Learning · A CLI tool to transpile trained classic ML models into a native Ruby code with zero dependencies.
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…
Section: AI · A CLI tool to transpile trained classic ML models into a native C code with zero dependencies. MIT
Section: Transpiling · A CLI tool to transpile trained classic machine learning models into a native Rust code with zero dependencies.
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]
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.
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.
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…
zap: - A toolkit for making real world machine learning and data analysis applications in C++. [Boost] website
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.