ILGPU.Algorithms 1.2.0

.NET 5.0 This package targets .NET 5.0. The package is compatible with this framework or higher. .NET Standard 2.1 This package targets .NET Standard 2.1. The package is compatible with this framework or higher. .NET Framework 4.7.1 This package targets .NET Framework 4.7.1. 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There is a newer version of this package available.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 ILGPU.Algorithms --version 1.2.0                

                    
                

            
NuGet\Install-Package ILGPU.Algorithms -Version 1.2.0
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="ILGPU.Algorithms" Version="1.2.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add ILGPU.Algorithms --version 1.2.0                

                    
                

            
#r "nuget: ILGPU.Algorithms, 1.2.0"
#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 ILGPU.Algorithms as a Cake Addin
#addin nuget:?package=ILGPU.Algorithms&version=1.2.0

// Install ILGPU.Algorithms as a Cake Tool
#tool nuget:?package=ILGPU.Algorithms&version=1.2.0

ILGPU Algorithms library for high-level GPU programming.
     Samples can be found in the GitHub repository: https://github.com/m4rs-mt/ILGPU.Samples

Product Compatible and additional computed target framework versions.
.NET net5.0 is compatible.  net5.0-windows was computed.  net6.0 is compatible.  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 netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.1 is compatible. 
.NET Framework net471 is compatible.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen 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.

  • .NETFramework 4.7.1

  • .NETStandard 2.1

  • net5.0

  • net6.0

NuGet packages (6)

Showing the top 5 NuGet packages that depend on ILGPU.Algorithms:

Package Downloads
ParallelReverseAutoDiff

A library for parallelized reverse mode automatic differentiation in C# for custom neural network development.
ParallelReverseAutoDiffLite

A lightweight library for parallelized reverse mode automatic differentiation in C# for custom neural network development using single-precision.
GradientDescentSharp

Simple optimization and machine learning library
DotNetDifferentialEvolution.GPU

A .NET library for Differential Evolution optimization with GPU acceleration using ILGPU.
MatrixFFN

A feed forward network ( FFN ) with sigmoid activation function allowing 'n' hidden layers. Twin to the CPU classes are the ILGPU-versions giving you full accelerator speed.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on ILGPU.Algorithms:

Repository Stars
b-editor/beutl
Cross-platform video editing (compositing) software.
Version Downloads Last updated
1.5.1 19,169 9/13/2023
1.5.0 11,019 8/23/2023
1.5.0-beta1 195 7/21/2023
1.4.0 18,469 5/18/2023
1.4.0-rc2 178 5/2/2023
1.4.0-rc1 304 3/19/2023
1.3.1 5,616 12/27/2022
1.3.0 36,271 11/27/2022
1.3.0-beta2 195 10/24/2022
1.3.0-beta1 221 9/1/2022
1.2.0 36,262 5/29/2022
1.2.0-beta1 295 4/7/2022
1.1.0 20,342 3/23/2022
1.1.0-rc1 261 2/24/2022
1.1.0-beta1 378 1/28/2022
1.0.0 20,596 12/1/2021
1.0.0-rc3 624 11/22/2021
1.0.0-rc2 859 10/12/2021
1.0.0-rc1 1,008 9/10/2021
1.0.0-beta3 890 8/2/2021
1.0.0-beta2 357 7/2/2021
1.0.0-beta1 282 6/14/2021
0.10.0-beta1 21,236 2/15/2021
0.9.2 3,637 11/26/2020
0.9.0 5,293 8/20/2020
0.8.0 3,823 5/15/2020
0.7.1 1,058 3/4/2020
0.7.0 1,905 12/1/2019

http://www.ilgpu.net/releases/ILGPU.Algorithms.ReleaseNotes.txt