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eigendecomposition

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EricDarve /numerical_linear_algebra

Julia code for the book Numerical Linear Algebra

iterative-methods qr-decomposition linear-solvers singular-value-decomposition matrix-computations numerical-linear-algebra eigendecomposition

UpdatedJan 23, 2023
Jupyter Notebook

akhilvasvani /Linear-Algebra-Basics

Linear Algebra Fundamentals for Machine Learning

machine-learning deep-learning concepts matrix linear-algebra eigendecomposition

UpdatedAug 20, 2019
Jupyter Notebook

mohdibntarek /DifferentiableFactorizations.jl

Differentiable matrix factorizations using ImplicitDifferentiation.jl.

automatic-differentiation matrix-factorization svd lu-decomposition qr-decomposition matrix-decompositions cholesky-decomposition svd-matrix-factorisation schur-decomposition eigendecomposition implicit-differentiation generalized-eigenvalue forward-mode-autodiff reverse-mode-autodiff

UpdatedSep 14, 2023
Julia

shantistewart /MUSIC-and-ESPRIT-Algorithms

This repository contains the implementations of the MUSIC and ESPRIT algorithms, which can be used for super-resolution spectral analysis.

optimization signal-processing matrix-computations eigendecomposition

UpdatedMay 13, 2020
MATLAB

KingJamesSong /BatchED

ECCV22 Paper "Batch-efficient EigenDecomposition for Small and Medium Matrices"

pytorch svd eigendecomposition

UpdatedFeb 4, 2023
Python

KingJamesSong /OrthoImproveCond

ECCV22 "Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality" and T-PAMI extension

svd eigendecomposition

UpdatedDec 13, 2022
Python

invrs-io /jeig

Faster eigendecompositions for jax

torch eigenvectors eigenvalues jax eigendecomposition

UpdatedOct 20, 2025
Python

marcoemorais /linalg-theory-intuition-code

Jupyter notebooks with notes, code, and exercises from Linear Algebra: Theory, Intuition, Code by Mike X Cohen (2021).

numpy linear-algebra least-squares matrices pca matplotlib jupyter-notebooks svd covariance-matrix eigendecomposition matrix-inverse

UpdatedNov 27, 2023
Jupyter Notebook

msrepo /statistical_shape_model

Statistical Shape Model using PCA on standard 2D hand dataset

shape-models statistical-shape-model eigendecomposition procrustes-alignment

UpdatedJul 20, 2020
Python

tpopordanoska /confidence-intervals

Official code repository for "Distribution-Independent Confidence Intervals for the Eigendecomposition of Covariance Matrices via the Eigenvalue-Eigenvector Identity" (ICML 2021 Workshop on Distribution-Free Uncertainty Quantification).

deep-learning confidence-intervals uncertainty-quantification eigendecomposition icml-2021

UpdatedAug 20, 2021
Python

AdityaDutt /PCATutorial

A Step-by-step tutorial to implement PCA.

high-dimensional-data pca dimensionality-reduction eigenvectors principal-component-analysis covariance eigenvalues eigendecomposition

UpdatedOct 18, 2021
Jupyter Notebook

mmiimran /linear-algebra-for-data-science

practical linear algebra for data science (with python)

python linear-algebra vectors singular-value-decomposition matrics eigendecomposition matrix-inverse matrix-application vector-application orthogonal-matrices-and-qr-decomposition row-reduction-and-lu-decomposition general-line-models-and-least-squares least-squares-applications eigendecomposition-and-svd-application

UpdatedMar 24, 2024
Jupyter Notebook

oaxelou /EM_analytical

A matlab tool that analytically calculates the transient Electromigration (EM) stress at discrete spatial points in multi-segment lines of power grids.

stress matlab em transient-analysis analytical-solution eigendecomposition dct2 electromigration

UpdatedAug 13, 2022
MATLAB

SohhamSeal /Eigen-Faces

Application of PCA in facial recognition

pca svd eigenfaces eigendecomposition dimentionality-reduction

UpdatedFeb 3, 2024
Jupyter Notebook

sparshgup /QEA1_SpeakerRecognition

Implementation of a Speaker Recognition Algorithm using MFCC, FFT, and Eigendecomposition from voice samples

machine-learning sound-processing voice-recognition fft mfcc speaker-recognition eigendecomposition

UpdatedApr 4, 2023

heyjianjing /eliu_summer_2024

Mini-course for Elizabeth Liu

logistic-regression gradient-descent kernel-methods gaussian-processes bayesian-optimization hamiltonian-monte-carlo bayesian-linear-regression eigendecomposition metropolis-algorithm random-fourier-features taylor-approximation nystrom-method laplace-method bayesian-marginalization bayesian-kernel-regression

UpdatedJan 8, 2025
Jupyter Notebook

SINGHxTUSHAR /Assignment-72

dimensionality-reduction eigenvectors eigenvalues eigendecomposition

UpdatedOct 21, 2023
Jupyter Notebook

chrnthnkmutt /MTH234_LinearTransformation

This repository is being used as the final project of the course MTH234: Linear Algebra, with having Asst.Prof. Songpon Sriwongsa

data-science linear-algebra mathematics eigenvectors eigenvalues eigendecomposition

UpdatedSep 19, 2024
Jupyter Notebook

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