TorchSharp 0.91.52661

There is a newer version of this package available.
See the version list below for details.
dotnet add package TorchSharp --version 0.91.52661                
NuGet\Install-Package TorchSharp -Version 0.91.52661                
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" Version="0.91.52661" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add TorchSharp --version 0.91.52661                
#r "nuget: TorchSharp, 0.91.52661"                
#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 as a Cake Addin
#addin nuget:?package=TorchSharp&version=0.91.52661

// Install TorchSharp as a Cake Tool
#tool nuget:?package=TorchSharp&version=0.91.52661                

.NET Bindings for Torch. Requires reference to one of libtorch-cpu, libtorch-cuda-11.1, libtorch-cuda-11.1-win-x64 or libtorch-cuda-11.1-linux-x64 version  to execute.

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 netcoreapp3.1 is compatible. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
  • .NETCoreApp 3.1

    • No dependencies.

NuGet packages (20)

Showing the top 5 NuGet packages that depend on TorchSharp:

Package Downloads
TorchSharp-cuda-windows

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.4.0 CUDA 12.1 support for Windows.

Microsoft.ML.TorchSharp

Microsoft.ML.TorchSharp contains ML.NET integration of TorchSharp.

DiffSharp.Backends.Torch

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/

TorchSharp-cuda-linux

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.4.0 CUDA 12.1 support for Linux.

TorchSharp-cpu

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.4.0 CPU support.

GitHub repositories (3)

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

Repository Stars
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
uxmal/pytocs
Converts Python source to C#
dotnet/ai-samples
Version Downloads Last updated
0.103.1 1,662 10/24/2024
0.103.0 6,305 8/6/2024
0.102.8 1,071 8/1/2024
0.102.7 3,942 7/17/2024
0.102.6 4,592 6/20/2024
0.102.5 2,935 6/7/2024
0.102.4 5,586 4/17/2024
0.102.3 4,734 3/26/2024
0.102.2 9,732 3/5/2024
0.102.1 2,610 3/5/2024
0.102.0 3,709 2/27/2024
0.101.6 4,552 2/9/2024
0.101.5 51,868 12/20/2023
0.101.4 3,643 12/15/2023
0.101.3 3,221 12/13/2023
0.101.2 5,885 11/14/2023
0.101.1 3,757 11/2/2023
0.101.0 3,448 11/2/2023
0.100.7 3,744 10/25/2023
0.100.6 3,602 10/19/2023
0.100.5 6,763 9/21/2023
0.100.4 9,624 8/14/2023
0.100.3 10,690 6/25/2023
0.100.2 5,605 6/14/2023
0.100.1 4,773 6/5/2023
0.100.0 6,337 5/15/2023
0.99.6 13,669 4/28/2023
0.99.5 29,978 4/26/2023
0.99.4 6,845 4/4/2023
0.99.3 9,772 2/22/2023
0.99.2 9,902 1/17/2023
0.99.1 9,609 11/30/2022
0.99.0 13,547 11/8/2022
0.98.3 12,991 11/2/2022
0.98.2 7,234 11/1/2022
0.98.1 88,530 10/13/2022
0.98.0 6,754 10/4/2022
0.97.6 7,360 9/16/2022
0.97.5 7,086 9/13/2022
0.97.4 6,315 9/12/2022
0.97.3 9,834 8/17/2022
0.97.2 7,264 8/9/2022
0.97.1 7,128 8/2/2022
0.97.0 7,323 7/20/2022
0.96.8 7,965 6/21/2022
0.96.7 9,396 6/2/2022
0.96.6 8,909 5/14/2022
0.96.5 8,506 4/19/2022
0.96.4 8,036 4/19/2022
0.96.3 7,817 2/23/2022
0.96.1 7,063 2/22/2022
0.96.0 29,124 2/3/2022
0.95.4 7,230 12/3/2021
0.95.3 7,537 11/15/2021
0.95.2 6,861 11/10/2021
0.95.1 6,158 11/6/2021
0.93.9 7,070 10/29/2021
0.93.8 7,498 10/25/2021
0.93.6 6,957 10/20/2021
0.93.5 16,888 10/8/2021
0.93.4 7,417 10/7/2021
0.93.3 7,568 10/6/2021
0.93.1 1,053 9/30/2021
0.93.0 1,105 9/29/2021
0.92.52220 1,103 9/14/2021
0.91.52719 4,314 7/24/2021
0.91.52681 7,402 6/23/2021
0.91.52680 1,182 6/22/2021
0.91.52672 1,211 6/22/2021
0.91.52666 1,255 6/21/2021
0.91.52661 1,032 6/20/2021
0.91.52660 1,041 6/20/2021
0.91.52621 1,028 6/16/2021
0.91.52604 1,363 5/27/2021
0.91.52577 1,109 5/10/2021
0.91.52573 1,015 5/10/2021
0.91.52518 6,945 3/25/2021
0.91.52511 1,041 3/25/2021
0.91.52508 1,010 3/25/2021
0.91.52506 1,012 3/25/2021
0.91.52502 1,051 3/25/2021
0.91.52475 1,052 3/24/2021
0.91.52458 1,991 3/23/2021
0.91.52214-preview-local-Re... 813 9/2/2021
0.9.52445 1,106 3/19/2021
0.3.52431 1,073 3/19/2021
0.3.52428 1,021 3/19/2021
0.3.52423 1,091 3/18/2021
0.3.52363 1,951 12/3/2020
0.3.52357 4,018 11/30/2020
0.3.52353 1,982 11/26/2020
0.3.52348 2,227 11/20/2020
0.3.52345 1,126 11/20/2020
0.3.52338 2,681 11/13/2020
0.3.52320 2,502 11/11/2020
0.3.52318 1,183 11/11/2020
0.3.52312 1,134 11/11/2020
0.3.52293 1,753 11/6/2020
0.3.52276 10,722 9/15/2020
0.3.52267 5,170 6/29/2020
0.3.52264 1,231 6/27/2020
0.3.52259 1,550 6/25/2020
0.3.52253 1,190 6/12/2020
0.3.52249 1,411 6/8/2020
0.3.52235 1,302 6/3/2020
0.3.52229 1,191 6/3/2020
0.3.52216 1,303 5/24/2020
0.3.52209 1,382 5/22/2020
0.2.0-preview-27930-2 1,231 7/31/2019
0.2.0-preview-27915-4 1,134 7/16/2019
0.2.0-preview-27912-2 1,061 7/12/2019
0.2.0-preview-27829-1 1,011 7/5/2019
0.1.0 3,388 11/13/2018