singular-value-decomposition

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

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

Randomized Dimension Reduction Library

Fast truncated singular value decompositions

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

Randomized Matrix Decompositions using R

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

Python machine learning applications in image processing and algorithm implementations including Matrix Completion, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

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

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

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

Julia code for the book Numerical Linear Algebra

Pytorch extension for Singular Value Decompostion (SVD) with LAPACK gesvd backend

Demonstration of low rank matrix approximations via singular value decomposition

An introduction to matrix factorization and PCA and SVD.

Shiny App for Image Compression via SVD

Solve many kinds of least-squares and matrix-recovery problems

Building Recommendation Model for the electronics products of Amazon

Various Small Projects on Various Subjects

Jupyter notebooks (Python) for the course 3M1 at the Department of Engineering, University of Cambridge

Recommend Restaurants to User based on the ratings given by them to the restaurants

MoMA: Modern Multivariate Analysis in R

A linear algebra library that provides a user-friendly interface to several BLAS and LAPACK routines.

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.

The Jacobi-type (hyperbolic) SVD for CUDA.

A linear algebra library for TypeScript and JavaScript

Multichannel Sleep Spindle Detector for sleep EEG

Singular value thresholding for denoising time-resolved microscopy

Hung-Yi Lee Linear Algebra 2018 Fall Homework

Making movies recommendation using a Collaborative Filtering Algorithm on the famous MovieLens dataset.