NumSharp 0.20.4

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 0.20.4
dotnet add package NumSharp --version 0.20.4
<PackageReference Include="NumSharp" Version="0.20.4" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add NumSharp --version 0.20.4
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Release Notes

Support for np.newaxis and ellipsis (...) slicing. Added: np.transpose, np.swapaxes, ndarray.T, np.moveaxis, np.rollaxis, np.size, np.copyto, np.ceil, np.arccos, np.floor, np.modf, np.square, np.round, np.sign, np.arcsin, np.arctan, np.random.beta, np.random.gamma, np.random.bernoulli, np.random.binomial, np.random.lognormal, np.random.normal, np.random.poisson, np.random.chisquare, np.random.geometric.
Performance optimization for np.array, np.linspace, Randomizer class and all np.random.* methods.

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 22,888 10/5/2019
0.20.3 642 9/28/2019
0.20.2 574 9/11/2019
0.20.1 10,659 9/1/2019
0.20.0 585 8/20/2019
0.10.6 13,990 7/24/2019
0.10.5 230 7/22/2019
0.10.4 202 7/18/2019
0.10.3 930 6/15/2019
0.10.2 384 5/25/2019
0.10.1 624 5/11/2019
0.10.0 325 5/5/2019
0.9.0 681 4/15/2019
0.8.3 380 3/29/2019
0.8.2 339 3/25/2019
0.8.1 198 3/22/2019
0.8.0 639 3/12/2019
0.7.4 249 3/7/2019
0.7.3 941 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
0.6.2 371 12/27/2018
0.6.1 196 12/26/2018
0.6.0 254 12/21/2018
0.5.0 309 12/5/2018
0.4.0 208 11/21/2018
0.3.0 226 11/7/2018
0.2.0 402 10/29/2018
0.1.0 258 10/10/2018