A performance comparison of standard matrix functions between CPU and GPU using Nvidia CUDA on Visual Studio using C++

This project demonstrates core Linear Algebra concepts using Numpy, including vector operations, matrix transformations, matrix transformations, determinant, inverse, eigenvalues, and basic understanding of column space. It is designed for beginners aiming to build a strong foundation for AI/ML and MLOps.

Library that contains all useful functions for handling matrices and their operations.