[Experimental] Graph and Tensor Abstraction for Deep Learning all in Common Lisp

This project implements a text encoding and decoding system using a matrix-based encoding technique.

No description provided.

Offloading matrix operations, face detection, and face recognition applications from a PandaBoard device (i.e. client device) to a server (i.e. server desktop computer)

matrix transactions using bash

Source code for solving complex eigenvalue & eigenvector problems.

Simple javascript matrix calculator 🧮

Comprehensive Python 2.0 journey: from B.Tech logic foundations to advanced functional programming. Featuring matrix manipulation, geometric pattern algorithms, and modular development using Jupyter. A testament to self-taught discipline.

This repository contains C and C++ programs for matrix operations. The C++ program is a matrix calculator that performs addition, subtraction, multiplication, scalar multiplication, scalar division, and transposition. The C program defines functions for these operations.

Educational CUDA C/C++ programming repository with commented examples on GPU parallel computing, matrix operations, and performance profiling. Requires a CUDA-enabled NVIDIA GPU.

Build real NumPy projects with 6 beginner-friendly challenges. Learn by doing with guided coding exercises and practical applications.

Final Project Aljabar Linier - Aplikasi Desktop / GUI untuk menghitung Operasi Matriks

A complete hands-on NumPy learning repository covering array creation, indexing, slicing, reshaping, broadcasting, mathematical operations, boolean indexing, aggregation functions, and real-world use cases.

Matrix base operations on FPGA example

No description provided.

This course contains lots of challenges for NumPy, each challenge is a small NumPy project with detailed instructions and solutions. You can practice your NumPy skills by solving these challenges, improve your problem-solving skills, and learn how to write clean and efficient code.

collection of fast multiplication algorithms and matrix operations.

Student Performance Analysis using NumPy | Linear Algebra, Statistics, and Data Manipulation

Repository dedicated for c projects only

A program that allows the user to create matrices arbitrarily, then be able to save and load these matrices and perform various operations on them. The program should also decompose these operations into their basic elements and visualizes them in a clear and interactive way for the user.

CPS125 - This course is for Engineering Students and introduces concepts, theory and practice of computer programming, using the C programming Language. This course is taken at TMU, formally known as Ryerson.

Opérations sur les matrices creuses en C++ avec des listes chaînées

OOP module for operations on sparse 2D matrices

End-to-End Python implementation of the Heuristic-Augmented Financial Risk Index (HAFRI) framework from Abdullah et al. (2025). Processes expert surveys and financial statements to generate composite risk scores, enabling robust ranking of fiscal periods through hierarchical decomposition and consistency validation.

APL-CD: Array-Oriented Dependency Resolution

Lower upper matrix decomposition and determinant algorithm

No description provided.

A program for relation analysis and matrix operations using numpy. It determines relation types and performs matrix computations.

This is an academic project implements a C++ class to manipulate algebraic matrices and perform various matrix operations

This project provides Euclidean Distance and Covariance matrix from the given n*m matrix.