singular-value-decomposition

Star

Here are 281 public repositories matching this topic...

Language:All

Filter by language

All281 Jupyter Notebook104 Python60 MATLAB29 R12 C10 HTML10 C++8 Fortran8 JavaScript5 TeX5

Sort:Most stars

Sort options

Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

weijie-chen /Linear-Algebra-With-Python

Star2.5k

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

UpdatedSep 5, 2024
Jupyter Notebook

james-bowman /nlp

Star466

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

UpdatedMay 11, 2021
Go

jayshah19949596 /Machine-Learning-Models

Star367

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

UpdatedMay 15, 2017
MATLAB

je-suis-tm /machine-learning

Star260

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

UpdatedDec 16, 2022
Jupyter Notebook

milaan9 /Machine_Learning_Algorithms_from_Scratch

Star193

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

UpdatedDec 9, 2022
Jupyter Notebook

primme /primme

Star147

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

high-performance eigenvalues singular-value-decomposition

UpdatedNov 8, 2024
C

bwlewis /irlba

Star133

Fast truncated singular value decompositions

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

UpdatedFeb 22, 2024
R

EricDarve /numerical_linear_algebra

Star126

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

erichson /ristretto

Star118

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

UpdatedApr 17, 2021
Jupyter Notebook

Saeid-jhn /Digital-Image-Watermarking

Star108

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

UpdatedMar 11, 2024
MATLAB

InhwanBae /EigenTrajectory

Star104

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

UpdatedJun 30, 2025
Python

erichson /rSVD

Star102

Randomized Matrix Decompositions using R

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

UpdatedApr 13, 2021
R

LaxmiChaudhary /Amzon-Product-Recommendation

Star99

Building Recommendation Model for the electronics products of Amazon

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

UpdatedOct 25, 2019
Jupyter Notebook

vantienpham /Awesome-Tensor-Decomposition

Star88

😎 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

UpdatedDec 15, 2025

benedekrozemberczki /GraRep

Sponsor

Star65

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

UpdatedNov 6, 2022
Python

nikitaa30 /Recommender-Systems

Star57

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

UpdatedNov 22, 2019
Jupyter Notebook

pbenner /autodiff

Star55

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