matrix-multiplication

Project evaluates PyTorch and TensorFlow matrix multiplication performance on macOS.

It's quite funny how poorly implemented this is. Libraries that do these operations usually work in highly parallelized environments (sometimes entirely on the GPU). But the beauty of doing it manually is the learning curve. (Vec Vec double heap indirections are a crime against humanity)

Test project for neural networks - Handwritten digit recognition on MNIST dataset

Using pthreads to implement matrix multiplication: 1- A thread for each element 2- A thread for each row and comparing the performance of the 2 different methods.

A matrix calculator for Ubuntu Touch

C library for representing and working with matrices