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Showing 4 open source projects for "sparse matrix"

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1

Armadillo

fast C++ library for linear algebra & scientific computing

* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads:...

Downloads: 3,945 This Week

Last Update: 2026-10-02
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2

MLPACK C++ machine learning library

MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack

Downloads: 0 This Week

Last Update: 2023-06-28
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3

ViennaCL

Linear algebra and solver library using CUDA, OpenCL, and OpenMP

ViennaCL provides high level C++ interfaces for linear algebra routines on CPUs and GPUs using CUDA, OpenCL, and OpenMP. The focus is on generic implementations of iterative solvers often used for large linear systems and simple integration into existing projects.

1 Review

Downloads: 4 This Week

Last Update: 2016-09-10
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4

JSparse Matrix Package

The JSparse Matrix Package, developed by Philipp Geigenmüller during an internship at the prudsys AG in Chemnitz, Germany, is an extension of the well-known Java Matrix Package (JAMA) and allows the use of sparse matrices and related algorithms.

1 Review

Downloads: 0 This Week

Last Update: 2014-07-08
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