NumSharp 0.20.1

NumSharp is the fundamental library for scientific computing with .NET providing a similar API to python's numpy scientific library. NumSharp has full N-D, broadcasting and axis support.  If you want to use .NET to get started with machine learning, NumSharp will be your best tool.

There is a newer version of this package available.
See the version list below for details.
Install-Package NumSharp -Version 0.20.1
dotnet add package NumSharp --version 0.20.1
<PackageReference Include="NumSharp" Version="0.20.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add NumSharp --version 0.20.1
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Showing the top 4 GitHub repositories that depend on NumSharp:

Repository Stars
SciSharp/BotSharp
The Open Source AI Chatbot Platform Builder in 100% C# Running in .NET Core with Machine Learning algorithm.
SciSharp/NumSharp
High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
SciSharp/SiaNet
An easy to use C# deep learning library with CUDA/OpenCL support
SciSharp/Pandas.NET
Pandas port in C#, data analysis tool, process multi-dim array in DataFrame.

Read more about the GitHub Usage information on our documentation.

Version History

Version Downloads Last updated
0.20.5 2,687 12/31/2019
0.20.4 64,421 10/5/2019
0.20.3 763 9/28/2019
0.20.2 635 9/11/2019
0.20.1 11,261 9/1/2019
0.20.0 727 8/20/2019
0.10.6 14,990 7/24/2019
0.10.5 272 7/22/2019
0.10.4 241 7/18/2019
0.10.3 1,054 6/15/2019
0.10.2 408 5/25/2019
0.10.1 658 5/11/2019
0.10.0 365 5/5/2019
0.9.0 743 4/15/2019
0.8.3 409 3/29/2019
0.8.2 359 3/25/2019
0.8.1 218 3/22/2019
0.8.0 691 3/12/2019
0.7.4 272 3/7/2019
0.7.3 1,110 2/20/2019
0.7.2 207 2/18/2019
0.7.1 234 2/12/2019
0.7.0 287 1/28/2019
0.6.6 232 1/26/2019
0.6.5 293 1/11/2019
0.6.4 248 1/7/2019
0.6.3 256 12/30/2018
0.6.2 404 12/27/2018
0.6.1 216 12/26/2018
0.6.0 276 12/21/2018
0.5.0 333 12/5/2018
0.4.0 230 11/21/2018
0.3.0 251 11/7/2018
0.2.0 427 10/29/2018
0.1.0 295 10/10/2018
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