NumSharp.Lite 0.1.8

.NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package NumSharp.Lite --version 0.1.8                

                    
                

            
NuGet\Install-Package NumSharp.Lite -Version 0.1.8
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.Lite" Version="0.1.8" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add NumSharp.Lite --version 0.1.8                

                    
                

            
#r "nuget: NumSharp.Lite, 0.1.8"
#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.Lite as a Cake Addin
#addin nuget:?package=NumSharp.Lite&version=0.1.8

// Install NumSharp.Lite as a Cake Tool
#tool nuget:?package=NumSharp.Lite&version=0.1.8

NumSharp.Lite is the compact version of NumSharp without full datatype supported.

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.

NuGet packages (3)

Showing the top 3 NuGet packages that depend on NumSharp.Lite:

Package Downloads
SciSharp.TensorFlowHub

TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models.
Gym.NET

openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#. This package contains the base classes to mimic gym's OOP structure.
Gym.NET.Environments

openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#. This package contains ported gym's environments.

GitHub repositories (2)

Showing the top 2 popular GitHub repositories that depend on NumSharp.Lite:

Repository Stars
Quansight-Labs/numpy.net
A port of NumPy to .Net
SciSharp/Gym.NET
openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#.
Version Downloads Last updated
0.1.12 26,806 1/23/2021
0.1.11 585 1/16/2021
0.1.10 7,571 1/4/2021
0.1.9 11,160 10/19/2020
0.1.8 1,093,968 9/6/2020
0.1.7 31,803 3/9/2020
0.1.4 2,289 3/1/2020
0.1.0 1,171 2/15/2020

Implicit from scalar NDArray to byte.
Deconstruct NDArray to tuple(byte, byte, byte).
Create NDArray from string[].