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35 search results found

Linear Algebra With Python ⭐ 2,160

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 assistance of Python computation and visualization.

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

Machine_learning_algorithms_from_scratch ⭐ 164

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

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

Machine Learning ⭐ 117

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

Fast truncated singular value decompositions

Ristretto ⭐ 94

Randomized Dimension Reduction Library

Machine Learning Models ⭐ 81

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

Numerical_linear_algebra ⭐ 79

Julia code for the book Numerical Linear Algebra

Randomized Matrix Decompositions using R

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

Eigentrajectory ⭐ 54

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

Recommendation.jl ⭐ 43

Building recommender systems in Julia

Pcaworkshop ⭐ 35

An introduction to matrix factorization and PCA and SVD.

Autodiff ⭐ 34

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 ⭐ 28

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

Totalleastsquares.jl ⭐ 27

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

Data Science Methods ⭐ 27

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

Notebooks 3m1 ⭐ 23

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

Shiny App for Image Compression via SVD

Projects ⭐ 20

Various Small Projects on Various Subjects

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

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

A linear algebra library for TypeScript and JavaScript

Yelp Recommendation System ⭐ 10

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

🌏 MH1DMT is inversion software using LM (Levenberg-Marquardt), SVD (Singular Value Decomposition), SA (Simulated Annealing), VFSA (Very Fast Simulated Annealing), and MVFSA (Modified Very Fast Simulated Annealing) of one-dimension magnetotellurics (MT) in MATLAB

The Jacobi-type (hyperbolic) SVD for CUDA.

A cross compiled Scala.js port of JAMA for JVM, JavaScript, and Scala Native projects.

MoMA: Modern Multivariate Analysis in R

Pgure Svt ⭐ 7

Singular value thresholding for denoising time-resolved microscopy

🌏 MH1DDC is inversion software using Levenberg-Marquardt (LM) and Singular Value Decomposition (SVD) of one-dimension DC resistivity in MATLAB.

Eigen Malloc Free Pseudoinverse ⭐ 7

This extended Eigen C++ template library and wrapper provide a malloc-free Moore-Penrose pseudoinverse solver.

Numerical Linear Algebra ⭐ 7

A course on Linear Algebra using Python in Jupyter notebooks

Multichannel Sleep Spindle Detector for sleep EEG

Parallel Pca Openmp ⭐ 5

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.

1-35 of 35 search results

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