OpenBLAS 0.2.14
See the version list below for details.
dotnet add package OpenBLAS --version 0.2.14
NuGet\Install-Package OpenBLAS -Version 0.2.14
<PackageReference Include="OpenBLAS" Version="0.2.14" />
paket add OpenBLAS --version 0.2.14
#r "nuget: OpenBLAS, 0.2.14"
// Install OpenBLAS as a Cake Addin #addin nuget:?package=OpenBLAS&version=0.2.14 // Install OpenBLAS as a Cake Tool #tool nuget:?package=OpenBLAS&version=0.2.14
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| native | native is compatible. |
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 |
|
|
Leon.Armadillo
armadillo |
|
|
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. |
|
|
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.