NumSharp 0.20.5

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.

Install-Package NumSharp -Version 0.20.5
dotnet add package NumSharp --version 0.20.5
<PackageReference Include="NumSharp" Version="0.20.5" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add NumSharp --version 0.20.5
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Release Notes

Rewrite of the NDArray's getter mechanism. Added np.nonzero, np.maximum, np.minimum, np.all, np.any. np.clip: Added @out argument. Added NPTypeCode.Float as an alias to NPTypeCode.Single.

GitHub repositories (4)

Showing the top 4 popular 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.

Version History

Version Downloads Last updated
0.20.5 9,855 12/31/2019
0.20.4 136,631 10/5/2019
0.20.3 891 9/28/2019
0.20.2 714 9/11/2019
0.20.1 11,980 9/1/2019
0.20.0 901 8/20/2019
0.10.6 16,448 7/24/2019
0.10.5 320 7/22/2019
0.10.4 318 7/18/2019
0.10.3 1,444 6/15/2019
0.10.2 514 5/25/2019
0.10.1 850 5/11/2019
0.10.0 435 5/5/2019
0.9.0 868 4/15/2019
0.8.3 453 3/29/2019
0.8.2 418 3/25/2019
0.8.1 271 3/22/2019
0.8.0 743 3/12/2019
0.7.4 312 3/7/2019
0.7.3 2,425 2/20/2019
0.7.2 264 2/18/2019
0.7.1 290 2/12/2019
0.7.0 327 1/28/2019
0.6.6 277 1/26/2019
0.6.5 358 1/11/2019
0.6.4 312 1/7/2019
0.6.3 303 12/30/2018
0.6.2 486 12/27/2018
0.6.1 266 12/26/2018
0.6.0 320 12/21/2018
0.5.0 371 12/5/2018
0.4.0 271 11/21/2018
0.3.0 293 11/7/2018
0.2.0 530 10/29/2018
0.1.0 361 10/10/2018