weijie-chen/Linear-Algebra-With-Python

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

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ostad-ai/Machine-Learning

This repository contains topics and codes related to Machine Learning and Data Science, especially in Python

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TheGaBr0/GGH

Python implementation of GGH and GGH-HNF lattice-based cryptosystems for research and educational purposes, featuring cryptanalysis tools and a hybrid variant.

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rzxmha/Linear_Algebra

Linear Algebra project from TripleTen

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aazuspan/geeSharp

Pan-sharpening in the Earth Engine code editor

Language: JavaScript - Size: 1.04 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 43 - Forks: 5

heyjianjing/linear_algebra

Some notes on linear algebra and numerical linear algebra

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arashsm79/applied-linear-algebra-lab

Collection of step-by-step programming exercises to introduce students to the applications of linear algebra.

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korpog/gram 📦

Gram-Schmidt process

Language: Python - Size: 7.81 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

petermchale/math105A

Numerical analysis course in Python

Language: Jupyter Notebook - Size: 102 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 22 - Forks: 19

cescedes/QR-factorization-methods-comparison

Gram-Schmidt vs. modified Gram-Schmidt vs. Householder-based QR factorization vs. Givens-based QR factorization / UW 2024W NHPA

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fardinabbasi/ImageCompression-HistogramMatching

Implementations and analyses of various mathematical and computational techniques, including Lagrange interpolation, LU decomposition, image compression with SVD and FFT, image denoising, histogram matching, and QR decomposition using Gram-Schmidt methods.

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LeonardoSaccotelli/Numerical-Methods-For-Computer-Science

Basic and advanced linear algebra and numerical problems, numerical algorithms, and techniques with multiple applications in the field of Computer Science.

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pbenner/autodiff

Autodiff is a numerical library for the Go programming language that supports automatic differentiation. It implements routines for linear algebra (vector/matrix operations), numerical optimization and statistics

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nouralmulhem/Communication_Assignments

📶 Digital Communication (ELC325B) Assignments Solutions

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dantemazza/matrix-plus

Implementation of Laplace expansion(solves for determinant/inverse), Gram-Schmidt, and QR algorithms with a Swing calculator

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madisongarccia/MATH215

Computational Linear Algebra - Python

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EslamAsHhraf/Communication_Assignments Fork of nouralmulhem/Communication_Assignments

📶 Digital Communication (ELC325B) Assignments Solutions

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CreatorOfCryptids/GramSchmidtFormula

Gram-Schmidt Calculator

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ellietoulabi/Linear-Algebra

Language: Python - Size: 942 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

kuldeep-tolia/OpenACC_FORTRAN_Codes

OpenACC GPU parallelization for various numerical methods and miscellaneous problems using FORTRAN

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IChowdhury01/Gram-Schmidt-Calculator-Vector-Toolkit

A series of MATLAB functions for performing Gram Schmidt and other vector operations. Also produces 3D plots.

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arneish/parallel-PCA-openmp

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.

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shantanu1109/Coursera-Imperial-College-of-London-Mathematics-For-Machine-Learning-Specialization

This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth

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MahsaAm2/Gram-Schmidt

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arash79/Numerical-methods

a collection of numerical methods written in python language.

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Vedant2311/Numerical-Algorithms-Assignments

Compilation of the assignments of the course of COL726: Numerical Algorithms (Spring 2021) and their solutions

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ameli/ortho

A python package to generate orthogonal functions for regression

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iwhoppock/QR_factorisation_julia

Three algorithms (classical GS, modified GS, and Householder) for QR factorisation written in Julia. Included is a standard backsubstitution algorithm also for Julia.

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Potalej/fatoracao-QR

Fatoração QR se utilizando de algoritmos de Gram-Schmidt e Reflexões de Householder.

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vladutmargineanu/Page-Rank

Homeworks for the Numerical Methods course @ ACS, UPB 2018

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Shyamyar/ill-conditioned-hilbert

Numerical Methods for Ill-Conditioned Matrices - A project with Hilbert Matrix

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jointpoints/vulkan-gram-schmidt

An implementation of Gram-Schmidt process running on GPU.

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vishishtpriyadarshi/MatLib

MatLib - Matrix Library

Language: MATLAB - Size: 68.4 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

rh01/hw-matrix-decomposition

matrix decomposition from scratch for matrix analysis and analysis course capstone of ucas

Language: Python - Size: 183 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 0

tim-koehler/Gram-Schmidt-Process

The Gram–Schmidt Process with an arbitrary amount of dimensions

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