singular-value-decomposition

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Linear-Algebra-With-Python

weijie-chen / Linear-Algebra-With-Python

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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 assis...

python data-science jupyter matrix linear-algebra mathematics data-visualization data-analysis eigenvectors computational-science vector-space matrix-calculations eigenvalues singular-value-decomposition diagonalization gram-schmidt linear-transformations null-space symmetric-matrices multivariate-normal-distribution

Updated Sep 5, 2024
Jupyter Notebook

james-bowman / nlp

Star 465

Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang

nlp go golang machine-learning natural-language-processing lsh simhash locality-sensitive-hashing tf-idf lsa lda random-projections svd lsi latent-dirichlet-allocation latent-semantic-analysis singular-value-decomposition feature-hash latent-semantic-indexing random-indexing

Updated May 11, 2021
Go

jayshah19949596 / Machine-Learning-Models

Star 364

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning gaussian-mixture-models logistic-regression kmeans decision-trees knn principal-component-analysis dynamic-time-warping kmeans-clustering em-algorithm kmeans-algorithm singular-value-decomposition knn-classification gaussian-classifier value-iteration-algorithm

Updated May 15, 2017
MATLAB

machine-learning

je-suis-tm / machine-learning

Star 258

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F...

naive-bayes expectation-maximization support-vector-machine ridge-regression expectation-maximization-algorithm factor-analysis dbscan em-algorithm linear-discriminant-analysis stochastic-gradient-descent latent-semantic-analysis lasso-regression multinomial-naive-bayes singular-value-decomposition batch-gradient-descent sequential-minimal-optimization newton-method low-rank-approximation independent-component-analysis k-nearest-neighbors

Updated Dec 16, 2022
Jupyter Notebook

milaan9 / Machine_Learning_Algorithms_from_Scratch

Star 191

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

data-science machine-learning random-forest machine-learning-algorithms naive-bayes-classifier decision-trees fitting-algorithm dynamic-time-warping machine-learning-python singular-value-decomposition value-iteration-algorithm frequentist-methods error-functions gaussian-naive-bayes machine-learning-matlab python4datascience tutor-milaan9 matlab4datascience

Updated Dec 9, 2022
Jupyter Notebook

primme / primme

Star 145

PReconditioned Iterative MultiMethod Eigensolver for solving symmetric/Hermitian eigenvalue problems and singular value problems

high-performance eigenvalues singular-value-decomposition

Updated Nov 8, 2024
C

bwlewis / irlba

Star 131

Fast truncated singular value decompositions

pca svd principal-component-analysis singular-value-decomposition sparse-principal-components

Updated Feb 22, 2024
R

EricDarve / numerical_linear_algebra

Star 126

Julia code for the book Numerical Linear Algebra

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

Updated Jan 23, 2023
Jupyter Notebook

erichson / ristretto

Star 117

Randomized Dimension Reduction Library

python pca svd principal-component-analysis dimension-reduction lu-decomposition singular-value-decomposition randomized-algorithm nonnegative-matrix-factorization matrix-approximation dynamic-mode-decomposition

Updated Apr 17, 2021
Jupyter Notebook

Saeid-jhn / Digital-Image-Watermarking

Star 107

Digital Image Watermarking Method Based on Hybrid DWT-HD-SVD Technique: Attacks, PSNR, SSIM, NC

matlab dwt svd attacks watermark-image psnr singular-value-decomposition discrete-wavelet-transformation structural-similarity hessenberg-decomposition normalized-correlation

Updated Mar 11, 2024
MATLAB

EigenTrajectory

InhwanBae / EigenTrajectory

Star 103

Official Code for "EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting (ICCV 2023)"

deep-learning multi-agent autonomous-vehicles singular-value-decomposition eigen-vector-decomposition human-trajectory-prediction motion-forecasting iccv2023

Updated Jun 30, 2025
Python

erichson / rSVD

Star 102

Randomized Matrix Decompositions using R

cran pca svd principal-component-analysis dimension-reduction singular-value-decomposition randomized-algorithm matrix-approximation probabilistic-algorithms

Updated Apr 13, 2021
R

LaxmiChaudhary / Amzon-Product-Recommendation

Star 97

Building Recommendation Model for the electronics products of Amazon

machine-learning collaborative-filtering recommender-systems singular-value-decomposition unsupervised-machine-learning popularity-recommender

Updated Oct 25, 2019
Jupyter Notebook

vantienpham / Awesome-Tensor-Decomposition

Star 83

😎 A curated list of tensor decomposition resources for model compression.

svd tensor-decomposition low-rank-factorization singular-value-decomposition model-compression tensor-train tucker-decomposition tensor-ring-decomposition canonical-polyadic-decomposition

Updated Oct 20, 2025

GraRep

benedekrozemberczki / GraRep

Sponsor

Star 65

A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).

deep-learning word2vec deepwalk matrix-factorization gensim svd embedding network-embedding nmf singular-value-decomposition node2vec graph-embedding graph2vec node-embedding tadw aane asne walklets grarep role2vec

Updated Nov 6, 2022
Python

nikitaa30 / Recommender-Systems

Star 57

Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python

neural-network tf-idf recommender-system knn singular-value-decomposition content-based-recommendation

Updated Nov 22, 2019
Jupyter Notebook

pbenner / autodiff

Star 55

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