TorchSharp 0.3.52348

There is a newer version of this package available.
See the version list below for details.
dotnet add package TorchSharp --version 0.3.52348                
NuGet\Install-Package TorchSharp -Version 0.3.52348                
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="0.3.52348" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add TorchSharp --version 0.3.52348                
#r "nuget: TorchSharp, 0.3.52348"                
#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=0.3.52348

// Install TorchSharp as a Cake Tool
#tool nuget:?package=TorchSharp&version=0.3.52348                

.NET Bindings for Torch. Requires reference to one of libtorch-cpu, libtorch-cuda-102, libtorch-cuda-102-win-x64 or libtorch-cuda-102-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 (15)

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
0.103.0 3,937 8/6/2024
0.102.8 915 8/1/2024
0.102.7 3,229 7/17/2024
0.102.6 4,117 6/20/2024
0.102.5 2,735 6/7/2024
0.102.4 5,363 4/17/2024
0.102.3 4,325 3/26/2024
0.102.2 8,349 3/5/2024
0.102.1 2,487 3/5/2024
0.102.0 3,456 2/27/2024
0.101.6 4,298 2/9/2024
0.101.5 43,785 12/20/2023
0.101.4 3,511 12/15/2023
0.101.3 3,112 12/13/2023
0.101.2 5,717 11/14/2023
0.101.1 3,644 11/2/2023
0.101.0 3,320 11/2/2023
0.100.7 3,628 10/25/2023
0.100.6 3,477 10/19/2023
0.100.5 6,627 9/21/2023
0.100.4 9,520 8/14/2023
0.100.3 10,288 6/25/2023
0.100.2 5,480 6/14/2023
0.100.1 4,576 6/5/2023
0.100.0 6,104 5/15/2023
0.99.6 12,784 4/28/2023
0.99.5 28,582 4/26/2023
0.99.4 6,687 4/4/2023
0.99.3 9,625 2/22/2023
0.99.2 9,658 1/17/2023
0.99.1 9,299 11/30/2022
0.99.0 13,314 11/8/2022
0.98.3 12,659 11/2/2022
0.98.2 7,042 11/1/2022
0.98.1 85,912 10/13/2022
0.98.0 6,642 10/4/2022
0.97.6 7,187 9/16/2022
0.97.5 6,918 9/13/2022
0.97.4 6,120 9/12/2022
0.97.3 9,619 8/17/2022
0.97.2 7,066 8/9/2022
0.97.1 6,942 8/2/2022
0.97.0 7,139 7/20/2022
0.96.8 7,752 6/21/2022
0.96.7 9,245 6/2/2022
0.96.6 8,719 5/14/2022
0.96.5 8,402 4/19/2022
0.96.4 7,816 4/19/2022
0.96.3 7,692 2/23/2022
0.96.1 6,918 2/22/2022
0.96.0 28,253 2/3/2022
0.95.4 7,034 12/3/2021
0.95.3 7,411 11/15/2021
0.95.2 6,678 11/10/2021
0.95.1 6,004 11/6/2021
0.93.9 6,923 10/29/2021
0.93.8 7,337 10/25/2021
0.93.6 6,803 10/20/2021
0.93.5 16,482 10/8/2021
0.93.4 7,266 10/7/2021
0.93.3 7,366 10/6/2021
0.93.1 1,049 9/30/2021
0.93.0 1,098 9/29/2021
0.92.52220 1,093 9/14/2021
0.91.52719 4,305 7/24/2021
0.91.52681 7,387 6/23/2021
0.91.52680 1,172 6/22/2021
0.91.52672 1,202 6/22/2021
0.91.52666 1,234 6/21/2021
0.91.52661 1,028 6/20/2021
0.91.52660 1,039 6/20/2021
0.91.52621 1,026 6/16/2021
0.91.52604 1,355 5/27/2021
0.91.52577 1,105 5/10/2021
0.91.52573 1,012 5/10/2021
0.91.52518 6,944 3/25/2021
0.91.52511 1,038 3/25/2021
0.91.52508 1,002 3/25/2021
0.91.52506 1,010 3/25/2021
0.91.52502 1,047 3/25/2021
0.91.52475 1,030 3/24/2021
0.91.52458 1,981 3/23/2021
0.91.52214-preview-local-Re... 811 9/2/2021
0.9.52445 1,093 3/19/2021
0.3.52431 1,068 3/19/2021
0.3.52428 1,019 3/19/2021
0.3.52423 1,089 3/18/2021
0.3.52363 1,947 12/3/2020
0.3.52357 4,014 11/30/2020
0.3.52353 1,978 11/26/2020
0.3.52348 2,218 11/20/2020
0.3.52345 1,124 11/20/2020
0.3.52338 2,673 11/13/2020
0.3.52320 2,500 11/11/2020
0.3.52318 1,181 11/11/2020
0.3.52312 1,132 11/11/2020
0.3.52293 1,749 11/6/2020
0.3.52276 10,715 9/15/2020
0.3.52267 5,165 6/29/2020
0.3.52264 1,219 6/27/2020
0.3.52259 1,545 6/25/2020
0.3.52253 1,185 6/12/2020
0.3.52249 1,408 6/8/2020
0.3.52235 1,299 6/3/2020
0.3.52229 1,188 6/3/2020
0.3.52216 1,298 5/24/2020
0.3.52209 1,379 5/22/2020
0.2.0-preview-27930-2 1,227 7/31/2019
0.2.0-preview-27915-4 1,130 7/16/2019
0.2.0-preview-27912-2 1,059 7/12/2019
0.2.0-preview-27829-1 1,009 7/5/2019
0.1.0 3,340 11/13/2018