OpenBLAS 0.2.14.1

dotnet add package OpenBLAS --version 0.2.14.1

NuGet\Install-Package OpenBLAS -Version 0.2.14.1

This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.

<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.

<PackageVersion Include="OpenBLAS" Version="0.2.14.1" />
                    

                            Directory.Packages.props

<PackageReference Include="OpenBLAS" />
                    

                            Project file

For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version 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 and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.

#addin nuget:?package=OpenBLAS&version=0.2.14.1
                    

                            Install as a Cake Addin

#tool nuget:?package=OpenBLAS&version=0.2.14.1
                    

                            Install as a Cake Tool

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	Compatible and additional computed target framework versions.
native	native is compatible.

Compatible target framework(s)

Included target framework(s) (in package)

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	28.6K
Leon.Armadillo armadillo	9.5K
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.	9.0K
lapacke Native DLLs for LAPACKE	4.2K
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	4.0K

GitHub repositories

This package is not used by any popular GitHub repositories.

Version	Downloads	Last Updated
0.2.14.1	198,316	4/7/2015
0.2.14	4,933	4/7/2015

http://www.openblas.net/Changelog.txt