NumSharp 0.8.2

There is a newer version of this package available.
See the version list below for details.
dotnet add package NumSharp --version 0.8.2
NuGet\Install-Package NumSharp -Version 0.8.2
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="NumSharp" Version="0.8.2" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add NumSharp --version 0.8.2
#r "nuget: NumSharp, 0.8.2"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install NumSharp as a Cake Addin
#addin nuget:?package=NumSharp&version=0.8.2

// Install NumSharp as a Cake Tool
#tool nuget:?package=NumSharp&version=0.8.2

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.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
  • .NETStandard 2.0

    • No dependencies.

NuGet packages (19)

Showing the top 5 NuGet packages that depend on NumSharp:

Package Downloads
Microsoft.Quantum.Simulators The ID prefix of this package has been reserved for one of the owners of this package by

Classical simulators of quantum computers for the Q# programming language.

Microsoft.Quantum.Standard The ID prefix of this package has been reserved for one of the owners of this package by

Microsoft's Quantum standard libraries.


Machine Learning library in .NET Core.

Microsoft.Quantum.Standard.Visualization The ID prefix of this package has been reserved for one of the owners of this package by

Provides IQ# visualization support for Microsoft's Q# standard libraries.

Package Description

GitHub repositories (9)

Showing the top 5 popular GitHub repositories that depend on NumSharp:

Repository Stars
Open singing synthesis platform / Open source UTAU successor
High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
Open deep learning compiler stack for Kendryte AI accelerator ✨
An easy to use C# deep learning library with CUDA/OpenCL support
Runtime components for Q#
Version Downloads Last updated
0.30.0 260,285 2/14/2021
0.20.5 689,628 12/31/2019
0.20.4 321,529 10/5/2019
0.20.3 3,453 9/28/2019
0.20.2 2,339 9/11/2019
0.20.1 17,632 9/1/2019
0.20.0 3,648 8/20/2019
0.10.6 26,329 7/24/2019
0.10.5 2,394 7/22/2019
0.10.4 2,364 7/18/2019
0.10.3 11,444 6/15/2019
0.10.2 2,077 5/25/2019
0.10.1 3,572 5/11/2019
0.10.0 2,299 5/5/2019
0.9.0 3,280 4/15/2019
0.8.3 1,942 3/29/2019
0.8.2 2,655 3/25/2019
0.8.1 2,090 3/22/2019
0.8.0 2,237 3/12/2019
0.7.4 1,796 3/7/2019
0.7.3 499,139 2/20/2019
0.7.2 2,240 2/18/2019
0.7.1 2,270 2/12/2019
0.7.0 1,858 1/28/2019
0.6.6 2,232 1/26/2019
0.6.5 2,285 1/11/2019
0.6.4 2,294 1/7/2019
0.6.3 1,814 12/30/2018
0.6.2 5,671 12/27/2018
0.6.1 1,805 12/26/2018
0.6.0 1,877 12/21/2018
0.5.0 1,867 12/5/2018
0.4.0 1,771 11/21/2018
0.3.0 1,788 11/7/2018
0.2.0 3,836 10/29/2018
0.1.0 2,003 10/10/2018

Add np.argmax