ILGPU.Algorithms 0.10.0-beta1

.NET Standard 2.1 This package targets .NET Standard 2.1. The package is compatible with this framework or higher. .NET Framework 4.7 This package targets .NET Framework 4.7. The package is compatible with this framework or higher.
This is a prerelease version of ILGPU.Algorithms.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package ILGPU.Algorithms --version 0.10.0-beta1
                    


                    

                
NuGet\Install-Package ILGPU.Algorithms -Version 0.10.0-beta1
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="0.10.0-beta1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="ILGPU.Algorithms" Version="0.10.0-beta1" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="ILGPU.Algorithms" />
                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add ILGPU.Algorithms --version 0.10.0-beta1
                    


                    

                
#r "nuget: ILGPU.Algorithms, 0.10.0-beta1"
#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. 
#addin nuget:?package=ILGPU.Algorithms&version=0.10.0-beta1&prerelease
                    


                            Install ILGPU.Algorithms as a Cake Addin
                        

                    

                
#tool nuget:?package=ILGPU.Algorithms&version=0.10.0-beta1&prerelease
                    


                            Install ILGPU.Algorithms as a Cake Tool

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 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.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed. 
.NET Core netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.1 is compatible. 
.NET Framework net47 is compatible.  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 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

  • .NETStandard 2.1

NuGet packages (7)

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

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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.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.5.2 1,438 3/6/2025
1.5.1 24,807 9/13/2023
1.5.0 11,968 8/23/2023
1.5.0-beta1 200 7/21/2023
1.4.0 18,517 5/18/2023
1.4.0-rc2 187 5/2/2023
1.4.0-rc1 318 3/19/2023
1.3.1 5,943 12/27/2022
1.3.0 36,290 11/27/2022
1.3.0-beta2 208 10/24/2022
1.3.0-beta1 241 9/1/2022
1.2.0 36,320 5/29/2022
1.2.0-beta1 316 4/7/2022
1.1.0 20,401 3/23/2022
1.1.0-rc1 278 2/24/2022
1.1.0-beta1 404 1/28/2022
1.0.0 20,651 12/1/2021
1.0.0-rc3 642 11/22/2021
1.0.0-rc2 877 10/12/2021
1.0.0-rc1 1,030 9/10/2021
1.0.0-beta3 911 8/2/2021
1.0.0-beta2 378 7/2/2021
1.0.0-beta1 300 6/14/2021
0.10.0-beta1 21,335 2/15/2021
0.9.2 3,849 11/26/2020
0.9.0 5,335 8/20/2020
0.8.0 3,859 5/15/2020
0.7.1 1,085 3/4/2020
0.7.0 1,942 12/1/2019

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