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" />
paket add OpenBLAS --version 0.2.14.1
#r "nuget: OpenBLAS, 0.2.14.1"
// 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
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
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| native | native |
This package has no dependencies.
NuGet packages (6)
Showing the top 5 NuGet packages that depend on OpenBLAS:
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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 |
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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. |
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Leon.Armadillo
armadillo |
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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 |
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lapacke
Native DLLs for LAPACKE |
GitHub repositories
This package is not used by any popular GitHub repositories.