novak-99/MLPP
A C++ machine learning library providing implementations of common ML algorithms including regression models and gradient descent optimization.
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This library implements machine learning algorithms in C++, designed to give C++ programmers access to ML capabilities. It provides classes for common ML tasks like linear regression, with support for iterative optimizers such as gradient descent. The library uses standard C++ data structures (std::vector) for vector and matrix representation, and compiles to a shared object for linking.
Frequently asked
- What is novak-99/MLPP?
- A C++ machine learning library providing implementations of common ML algorithms including regression models and gradient descent optimization.
- Is MLPP open source?
- Yes — novak-99/MLPP is open source, released under the MIT license.
- What language is MLPP written in?
- novak-99/MLPP is primarily written in C++.
- How popular is MLPP?
- novak-99/MLPP has 1.1k stars on GitHub.
- Where can I find MLPP?
- novak-99/MLPP is on GitHub at https://github.com/novak-99/MLPP.