TorchSharp-cuda-windows 0.102.8

.NET 6.0 This package targets .NET 6.0. The package is compatible with this framework or higher. .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There is a newer version of this package available.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 TorchSharp-cuda-windows --version 0.102.8                

                    
                

            
NuGet\Install-Package TorchSharp-cuda-windows -Version 0.102.8
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="TorchSharp-cuda-windows" Version="0.102.8" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add TorchSharp-cuda-windows --version 0.102.8                

                    
                

            
#r "nuget: TorchSharp-cuda-windows, 0.102.8"
#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 TorchSharp-cuda-windows as a Cake Addin
#addin nuget:?package=TorchSharp-cuda-windows&version=0.102.8

// Install TorchSharp-cuda-windows as a Cake Tool
#tool nuget:?package=TorchSharp-cuda-windows&version=0.102.8

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.2.1 CUDA 12.1 support for Windows.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  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 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 (2)

Showing the top 2 NuGet packages that depend on TorchSharp-cuda-windows:

Package Downloads
DiffSharp-cuda-windows

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/
RLMatrix

Deep Reinforcement Learning in .NET

GitHub repositories (3)

Showing the top 3 popular GitHub repositories that depend on TorchSharp-cuda-windows:

Repository Stars
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
dotnet/ai-samples
asieradzk/RL_Matrix
Deep Reinforcement Learning in C#
Version Downloads Last updated
0.105.0 723 12/12/2024
0.104.0 562 12/5/2024
0.103.1 1,888 10/24/2024
0.103.0 3,025 8/6/2024
0.102.8 787 8/1/2024
0.102.7 1,230 7/17/2024
0.102.6 1,765 6/20/2024
0.102.5 1,743 6/7/2024
0.102.4 2,641 4/17/2024
0.102.3 2,433 3/26/2024
0.102.2 8,801 3/5/2024
0.102.1 2,121 3/5/2024
0.102.0 2,323 2/27/2024
0.101.6 2,865 2/9/2024
0.101.5 7,936 12/20/2023
0.101.4 2,417 12/15/2023
0.101.3 2,475 12/13/2023
0.101.2 3,209 11/14/2023
0.101.1 2,835 11/2/2023
0.101.0 2,786 11/2/2023
0.100.7 2,897 10/25/2023
0.100.6 2,879 10/19/2023
0.100.5 3,923 9/21/2023
0.100.4 3,584 8/14/2023
0.100.3 4,141 6/25/2023
0.100.2 3,678 6/14/2023
0.100.1 3,311 6/5/2023
0.100.0 2,480 5/15/2023
0.99.6 3,413 4/28/2023
0.99.5 6,415 4/26/2023
0.99.4 3,455 4/4/2023
0.99.3 3,908 2/22/2023
0.99.2 3,843 1/17/2023
0.99.1 6,422 11/30/2022
0.99.0 4,702 11/8/2022
0.98.3 6,724 11/2/2022
0.98.2 4,433 11/1/2022
0.98.1 6,108 10/13/2022
0.98.0 4,311 10/4/2022
0.97.6 4,422 9/16/2022
0.97.5 4,467 9/13/2022
0.97.4 4,084 9/12/2022
0.97.3 4,958 8/17/2022
0.97.2 4,591 8/9/2022
0.97.1 4,791 8/2/2022
0.97.0 4,604 7/20/2022
0.96.8 5,118 6/21/2022
0.96.7 4,703 6/2/2022
0.96.6 5,123 5/14/2022
0.96.5 4,733 4/19/2022
0.96.4 4,928 4/19/2022
0.96.3 5,169 2/23/2022
0.96.1 4,992 2/22/2022
0.96.0 17,151 2/3/2022
0.95.4 5,305 12/3/2021
0.95.3 5,290 11/15/2021
0.95.2 5,776 11/10/2021
0.95.1 4,894 11/6/2021
0.95.0 4,369 11/5/2021 0.95.0 is deprecated because it has critical bugs.
0.93.9 5,523 10/29/2021
0.93.8 5,524 10/25/2021
0.93.6 5,457 10/20/2021
0.93.5 10,837 10/8/2021
0.93.4 5,494 10/7/2021
0.93.3 5,903 10/6/2021