NumSharp 0.8.0

NumSharp is the fundamental package for scientific computing with dot NET. It has implemented the arange, array, max, min, reshape, normalize, unique and random interfaces and so on. More and more interfaces will be added to the library gradually. If you want to use .NET to get started with machine learning, NumSharp will be your best tool library.

There is a newer version of this package available.
See the version list below for details.
Install-Package NumSharp -Version 0.8.0
dotnet add package NumSharp --version 0.8.0
<PackageReference Include="NumSharp" Version="0.8.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add NumSharp --version 0.8.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Release Notes

Add np.frombuffer
Add np.prod

Showing the top 5 GitHub repositories that depend on NumSharp:

Repository Stars
SciSharp/TensorFlow.NET
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C#.
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.

Read more about the GitHub Usage information on our documentation.

Version History

Version Downloads Last updated
0.20.4 25,952 10/5/2019
0.20.3 653 9/28/2019
0.20.2 576 9/11/2019
0.20.1 10,748 9/1/2019
0.20.0 613 8/20/2019
0.10.6 14,032 7/24/2019
0.10.5 230 7/22/2019
0.10.4 202 7/18/2019
0.10.3 938 6/15/2019
0.10.2 384 5/25/2019
0.10.1 624 5/11/2019
0.10.0 327 5/5/2019
0.9.0 684 4/15/2019
0.8.3 380 3/29/2019
0.8.2 339 3/25/2019
0.8.1 198 3/22/2019
0.8.0 640 3/12/2019
0.7.4 249 3/7/2019
0.7.3 947 2/20/2019
0.7.2 187 2/18/2019
0.7.1 213 2/12/2019
0.7.0 266 1/28/2019
0.6.6 210 1/26/2019
0.6.5 273 1/11/2019
0.6.4 227 1/7/2019
0.6.3 239 12/30/2018
0.6.2 372 12/27/2018
0.6.1 196 12/26/2018
0.6.0 255 12/21/2018
0.5.0 312 12/5/2018
0.4.0 210 11/21/2018
0.3.0 228 11/7/2018
0.2.0 404 10/29/2018
0.1.0 259 10/10/2018
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