OpenBLAS 0.2.14.1

Install-Package OpenBLAS -Version 0.2.14.1
dotnet add package OpenBLAS --version 0.2.14.1
<PackageReference Include="OpenBLAS" Version="0.2.14.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add OpenBLAS --version 0.2.14.1
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: OpenBLAS, 0.2.14.1"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install OpenBLAS as a Cake Addin
#addin nuget:?package=OpenBLAS&version=0.2.14.1

// Install OpenBLAS as a Cake Tool
#tool nuget:?package=OpenBLAS&version=0.2.14.1
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

Product Versions
native native
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

This package has no dependencies.

NuGet packages (6)

Showing the top 5 NuGet packages that depend on OpenBLAS:

Package Downloads
armadillo-code

Armadillo is a high quality linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use Provides high-level syntax (API) deliberately similar to Matlab Useful for algorithm development directly in C++, or quick conversion of research code into production environments (eg. software & hardware products) Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc Provides efficient classes for vectors, matrices and cubes, as well as 200+ associated functions; integer, floating point and complex numbers are supported Various matrix decompositions are provided through integration with LAPACK, or one of its high performance drop-in replacements (eg. multi-threaded Intel MKL, or OpenBLAS) A sophisticated expression evaluator (based on template meta-programming) automatically combines several operations to increase speed and efficiency Available under a permissive license, useful for both open-source and proprietary (closed-source) software

mlpack-windows

mlpack is an intuitive, fast, scalable C++ machine learning library, meant to be a machine learning analog to LAPACK. It aims to implement a wide array of machine learning methods and functions as a swiss army knife for machine learning researchers.

Leon.Armadillo

armadillo

armadillo-code-only

Armadillo is a high quality linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use Provides high-level syntax (API) deliberately similar to Matlab Useful for algorithm development directly in C++, or quick conversion of research code into production environments (eg. software & hardware products) Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc Provides efficient classes for vectors, matrices and cubes, as well as 200+ associated functions; integer, floating point and complex numbers are supported Various matrix decompositions are provided through integration with LAPACK, or one of its high performance drop-in replacements (eg. multi-threaded Intel MKL, or OpenBLAS) A sophisticated expression evaluator (based on template meta-programming) automatically combines several operations to increase speed and efficiency Available under a permissive license, useful for both open-source and proprietary (closed-source) software

lapacke

Native DLLs for LAPACKE

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
0.2.14.1 166,306 4/7/2015
0.2.14 3,692 4/7/2015