ILGPU.Algorithms 1.5.3

.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. 
dotnet add package ILGPU.Algorithms --version 1.5.3
                    


                    

                
NuGet\Install-Package ILGPU.Algorithms -Version 1.5.3
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="ILGPU.Algorithms" Version="1.5.3" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="ILGPU.Algorithms" Version="1.5.3" />
                    


                            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 1.5.3
                    


                    

                
#r "nuget: ILGPU.Algorithms, 1.5.3"
#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. 
#:package ILGPU.Algorithms@1.5.3
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=ILGPU.Algorithms&version=1.5.3
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=ILGPU.Algorithms&version=1.5.3
                    


                            Install 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/tree/master/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 is compatible.  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.  net10.0 was computed.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-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

  • net7.0

NuGet packages (49)

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.
libESPER-V2

Second version of the ESPER library for speech and singing parametrization, modification, compression and recovery
Gravicode.Science.GraviNum

Gravicode.Science - data science and AI ecosystem for .NET. Dibuat oleh Gravicode Studios, dipimpin oleh Kang Fadhil.
EvaluatedApplications.AlgFormer.Gpu

ILGPU/CUDA acceleration for the AlgFormer package's HoloFormer model: GpuHoloTrainer runs batched GPU forward/backward training (CPU Adam by default, with an opt-in fused on-GPU Adam step) and GPU inference (Logits, StackIterLogits). GpuDevice auto-detects a CUDA device at startup and otherwise runs the SAME kernels on ILGPU's own CPU accelerator, so one build works with or without a CUDA card; genuinely over-length windows still run on the CPU HoloFormer directly. Every kernel is gradchecked against the CPU HoloFormer as its correctness oracle (float-close fp32, not bit-identical). Also ships an opt-in, default-OFF "ADAM & EVE" per-layer directional gradient gate layered on the fused on-GPU Adam step, live in production training (not an unused experiment) since 2026-09-24, plus preference (DPO) training on the GPU: per-sequence log-probabilities (SequenceLogProb) and a signed-weight all-positions training step (TrainBatchAllPosWeighted), at the same weight-tied depth the trainer trains at, with a frozen reference model (NewReference); exact bit-identical GPU page transforms for Phasor's Pleroma key band (PleromaPageTransform: Forward, Inverse, Dft over a 61-bit or sub-40-bit prime field, with an ILGPU CPU and a managed backend) and the Pleroma Cascade Newton pass (PleromaNewtonGpu); and a deprecated non-holo GpuModel/GpuTrainer twin for the older softmax-attention AlgFormer core. Add this package only if you want GPU acceleration; the core AlgFormer package stays dependency-free and AOT/trim-safe without it.

GitHub repositories (1)

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

Repository Stars
StockSharp/StockSharp
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Version Downloads Last Updated
1.5.3 85,275 7/12/2025
1.5.2 11,538 3/6/2025
1.5.1 63,130 9/13/2023
1.5.0 15,134 8/23/2023
1.5.0-beta1 391 7/21/2023
1.4.0 18,887 5/18/2023
1.4.0-rc2 401 5/2/2023
1.4.0-rc1 548 3/19/2023
1.3.1 6,936 12/27/2022
1.3.0 36,679 11/27/2022
1.3.0-beta2 420 10/24/2022
1.3.0-beta1 469 9/1/2022
1.2.0 38,397 5/29/2022
1.2.0-beta1 552 4/7/2022
1.1.0 21,145 3/23/2022
1.1.0-rc1 524 2/24/2022
1.1.0-beta1 682 1/28/2022
1.0.0 21,251 12/1/2021
1.0.0-rc3 865 11/22/2021
1.0.0-rc2 1,119 10/12/2021
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http://www.ilgpu.net/releases