novak-99/MLPP
A library created to revitalize C++ as a machine learning front end. Per aspera ad astra.
This is a machine learning library designed for C++ developers who want to integrate machine learning capabilities directly into their C++ applications. It takes raw data, such as numerical datasets or text, and produces trained machine learning models, predictions, or insights, all within a C++ environment. C++ software engineers, quantitative analysts, or scientific programmers building high-performance applications would find this useful.
1,107 stars. No commits in the last 6 months.
Use this if you are a C++ developer needing to build machine learning models, implement neural networks, or perform data analysis directly within your C++ projects without relying on other programming languages.
Not ideal if you prefer to work with Python, R, or other languages commonly used for machine learning, or if you are not comfortable with C++ development.
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1,107
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155
Language
C++
License
MIT
Category
Last pushed
Feb 25, 2022
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