GeeksForGeeks, HackerEarth, Coding Tests and Several Other platforms - Data Structures, Algorithms, SQL, Programming

🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .

Fast analytical implementation of batch eigen-decomposition for 3x3 symmetric matrices with Pytorch. > 250x faster than regular Pytorch implementation of batch eigen-decomposition on GPU.

Sketching-based matrix computations for numpy arrays

eMaTe can estimate the spectral density and trace functions even in matrices or graphs (undirected or directed) with million of nodes. (kernel polynomial method and SLQ)

Matrices operations using sparse

Visualizing the distribution of complex eigenvalues of random matrices.

Materials for for SIF3012 Computational Physics course. This course is designed for Physics students taking Computational Physics course. Some materials need to be guided through lectures series (provided in Spectrum and class)

Learning linear algebra by doing, code my own library of linear algebra functions!

This package contains the implementation of all the introduced algorithms in the course of unconstraint optimization for the 1st year AI engineering student at UM5-ENSIAS, with in addition, the possibility to plot the results of each optimization.

Open Source Python Package for Linear Algebra.

Dijkstra's algorithm implementation with python

Matrix and Vector Manipulation library in python3

Python pretty printer for matrices and column vectors.

A simple and efficient module for matrix and vector manipulation.

This project is created for learning the real world application of linear algebra which contains some core concepts like determinants, matrix, eigen-value, eigen-vector, etc to create a real-world application like steganography, grafh-theory, analysis of spread of disease, image processing, cryptography etc. This can have small bugs like excepti…

Matrix, a simple Python class for managing matrices.

lintrans is a tool to visualize linear transformations in 2D.

Finding a rectangle whose four corners are 1's in a given Boolean matrix.