BrightWire 2.0.3

.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There is a newer version of this package available.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 BrightWire --version 2.0.3                

                    
                

            
NuGet\Install-Package BrightWire -Version 2.0.3
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="BrightWire" Version="2.0.3" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add BrightWire --version 2.0.3                

                    
                

            
#r "nuget: BrightWire, 2.0.3"
#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 BrightWire as a Cake Addin
#addin nuget:?package=BrightWire&version=2.0.3

// Install BrightWire as a Cake Tool
#tool nuget:?package=BrightWire&version=2.0.3

Bright Wire is an open source machine learning library. Includes deep learning (feed forward, convolutional and recurrent), naive bayes, linear regression, decision trees, logistic regression, k-means clustering and dimensionality reduction.

This is the .net standard 2 version of BrightWire, which runs on .net 4.61, .net core 2, xamarin 2 and UWP.

This version does NOT currently support CUDA - which is available via the BrightWire.Net4 and BrightWire.CUDA.Net4.x64 assemblies (which DOES run on Mono).

However, the .net standard version of BrightWire can still execute models trained on the CUDA version.

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 (1)

Showing the top 1 NuGet packages that depend on BrightWire:

Package Downloads
BrightWire.CUDA.x64

This is the .net standard 2 version of BrightWire.CUDA which adds CUDA support to Bright Wire. This lets you run Bright Wire machine learning on a Maxwell or better NVIDIA GPU (x64 only).

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
4.0.0 134 5/19/2024
4.0.0-rc 139 5/16/2023
3.0.3 599 11/12/2021
3.0.2 366 10/17/2021
3.0.1 379 6/8/2021
3.0.0 392 3/22/2021
3.0.0-beta 240 2/20/2021
2.1.1 2,116 2/23/2019
2.1.0 1,067 9/30/2018
2.0.6 1,041 7/27/2018
2.0.5 1,079 1/4/2018
2.0.4 1,004 9/23/2017
2.0.3 1,058 8/18/2017