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.