NumSharp 0.20.2

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There is a newer version of this package available.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 0.20.2
dotnet add package NumSharp --version 0.20.2
<PackageReference Include="NumSharp" Version="0.20.2" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add NumSharp --version 0.20.2
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Release Notes

Added np.clip, np.exp2, np.expm1, nd.flatten(), np.log2, np.log10, np.log1p, np.* constants (such as np.e or np.pi).
Optimization for all binary operators. General performance optimization. Fixed few unlikely bugs.

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.

Version History

Version Downloads Last updated
0.20.4 10,168 10/5/2019
0.20.3 550 9/28/2019
0.20.2 563 9/11/2019
0.20.1 10,487 9/1/2019
0.20.0 539 8/20/2019
0.10.6 13,688 7/24/2019
0.10.5 197 7/22/2019
0.10.4 194 7/18/2019
0.10.3 913 6/15/2019
0.10.2 376 5/25/2019
0.10.1 614 5/11/2019
0.10.0 316 5/5/2019
0.9.0 660 4/15/2019
0.8.3 372 3/29/2019
0.8.2 329 3/25/2019
0.8.1 185 3/22/2019
0.8.0 630 3/12/2019
0.7.4 241 3/7/2019
0.7.3 889 2/20/2019
0.7.2 178 2/18/2019
0.7.1 204 2/12/2019
0.7.0 257 1/28/2019
0.6.6 201 1/26/2019
0.6.5 260 1/11/2019
0.6.4 219 1/7/2019
0.6.3 230 12/30/2018
0.6.2 357 12/27/2018
0.6.1 189 12/26/2018
0.6.0 246 12/21/2018
0.5.0 299 12/5/2018
0.4.0 200 11/21/2018
0.3.0 219 11/7/2018
0.2.0 395 10/29/2018
0.1.0 247 10/10/2018