OpenBLAS 0.2.14.1
OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.
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.
Release Notes
http://www.openblas.net/Changelog.txt
Dependencies
This package has no dependencies.
Used By
NuGet packages (6)
Showing the top 5 NuGet packages that depend on OpenBLAS:
| Package | Downloads |
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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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lapacke
Native DLLs for LAPACKE
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caffe.clr
Caffe: a fast open framework for deep learning. http://caffe.berkeleyvision.org/
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GitHub repositories
This package is not used by any popular GitHub repositories.