singular-value-decomposition

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most 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.

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

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

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

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, 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

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

Julia code for the book Numerical Linear Algebra

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

Building recommender systems in Julia

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

An introduction to matrix factorization and PCA and SVD.

Building Recommendation Model for the electronics products of Amazon

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

Demonstration of low rank matrix approximations via singular value decomposition

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

Shiny App for Image Compression via SVD

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

Various Small Projects on Various Subjects

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

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

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.

MoMA: Modern Multivariate Analysis in R

This repository contains lecture notes and codes for the course "Computational Methods for Data Science"

A linear algebra library for TypeScript and JavaScript

The Jacobi-type (hyperbolic) SVD for CUDA.