Micro Linear Algebra Package

A parallelized implementation of Principal Component Analysis (PCA) using Singular Value Decomposition (SVD) in OpenMP for C. The procedure used is Modified Gram Schmidt algorithm. The method for Classical Gram Schmidt is also available for use.

Distributed-memory, double-precision, polar decomposition (QDWH/ZOLO-PD) of a dense matrix, svd (QDWH/ZOLOPD-SVD) of a dense matrix

Cortex-M3 is run under QEMU for CLion testing

The KAUST SVD (KSVD) is a high performance software framework for computing a dense SVD on distributed-memory manycore systems.

An SVD loader plugin for Rizin. Made with 💙 during Google Summer of Code 2021.

The vectorized (AVX-512) batched singular value decomposition algorithm for matrices of order two.

Streamlining Software Design

Facial Recognition using supervised machine learning

Vectorization of the Jacobi-type methods for the SVD and the EVD

Educational project: minimal SVD image compressor in C

MIMO OFDM Block Diagram Modeling and Simulation for both Open Loop and Closed Loop MIMO OFDM systems.The modular architecture uses individual blocks (written in C) for the implementation of the various stages in modulation and demodulation. Subroutines ( C code) are also supplied. Paper on Theory and Architecture for Closed Loop MIMO with SVD.

Application of Singular Value Decomposition (SVD) in C++ for high-performance image compression and noise reduction.

Machine Learning from scratch in C

This project implements the Singular Value Decomposition (SVD) algorithm from scratch in C programming language. Singular Value Decomposition is a cornerstone technique in linear algebra, used extensively in data science, signal processing, statistics, and machine learning.

Optimized Singular Value Decomposition (SVD) on an ARM machine

Playing with lossy image compression based on the singular value decomposition

fixed integer svd in c

FFT-accelerated Singular Spectrum Analysis in C. SSA at the speed of FFT. Decompose time series into trend, seasonality & noise. O(N log N) Hankel matvec.