TorchSharp 0.105.2

dotnet add package TorchSharp --version 0.105.2
                    
NuGet\Install-Package TorchSharp -Version 0.105.2
                    
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="0.105.2" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="TorchSharp" Version="0.105.2" />
                    
Directory.Packages.props
<PackageReference Include="TorchSharp" />
                    
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 TorchSharp --version 0.105.2
                    
#r "nuget: TorchSharp, 0.105.2"
                    
#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 TorchSharp@0.105.2
                    
#: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=TorchSharp&version=0.105.2
                    
Install as a Cake Addin
#tool nuget:?package=TorchSharp&version=0.105.2
                    
Install as a Cake Tool

.NET Bindings for Torch. Requires reference to one of libtorch-cpu, libtorch-cuda-12.8, libtorch-cuda-12.8-win-x64 or libtorch-cuda-12.8-linux-x64 version 2.7.1.0 to execute.

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.  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 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 (33)

Showing the top 5 NuGet packages that depend on TorchSharp:

Package Downloads
Microsoft.ML.AutoML

ML.NET AutoML: Optimizes an ML pipeline for your dataset, by automatically locating the best feature engineering, model, and hyperparameters

Microsoft.ML.CodeGenerator

ML.NET Code Generator

Microsoft.ML.TorchSharp

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

TorchSharp-cuda-windows

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.7.1 CUDA 12.8 support for Windows.

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/

GitHub repositories (4)

Showing the top 4 popular GitHub repositories that depend on TorchSharp:

Repository Stars
babalae/better-genshin-impact
📦BetterGI · 更好的原神 - 自动拾取 | 自动剧情 | 全自动钓鱼(AI) | 全自动七圣召唤 | 自动伐木 | 自动刷本 | 自动采集/挖矿/锄地 | 一条龙 | 全连音游 - UI Automation Testing Tools For Genshin Impact
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
uxmal/pytocs
Converts Python source to C#
IntptrMax/YoloSharp
Train Yolo with C#
Version Downloads Last Updated
0.105.2 2,301 12/11/2025
0.105.1 32,310 7/2/2025
0.105.0 38,952 12/12/2024
0.104.0 5,606 12/5/2024
0.103.1 10,584 10/24/2024
0.103.0 10,864 8/6/2024
0.102.8 1,872 8/1/2024
0.102.7 86,320 7/17/2024
0.102.6 6,807 6/20/2024
0.102.5 3,866 6/7/2024
0.102.4 8,529 4/17/2024
0.102.3 6,644 3/26/2024
0.102.2 16,142 3/5/2024
0.102.1 3,300 3/5/2024
0.102.0 6,046 2/27/2024
0.101.6 5,315 2/9/2024
0.101.5 117,059 12/20/2023
0.101.4 4,451 12/15/2023
0.101.3 3,751 12/13/2023
0.101.2 6,772 11/14/2023
0.101.1 4,528 11/2/2023
0.101.0 3,951 11/2/2023
0.100.7 4,672 10/25/2023
0.100.6 4,142 10/19/2023
0.100.5 7,503 9/21/2023
0.100.4 10,319 8/14/2023
0.100.3 18,136 6/25/2023
0.100.2 6,543 6/14/2023
0.100.1 5,774 6/5/2023
0.100.0 7,692 5/15/2023
0.99.6 22,714 4/28/2023
0.99.5 37,358 4/26/2023
0.99.4 7,552 4/4/2023
0.99.3 10,880 2/22/2023
0.99.2 11,129 1/17/2023
0.99.1 10,994 11/30/2022
0.99.0 16,867 11/8/2022
0.98.3 14,909 11/2/2022
0.98.2 7,886 11/1/2022
0.98.1 107,219 10/13/2022
0.98.0 7,250 10/4/2022
0.97.6 8,056 9/16/2022
0.97.5 7,767 9/13/2022
0.97.4 7,000 9/12/2022
0.97.3 10,457 8/17/2022
0.97.2 7,965 8/9/2022
0.97.1 7,894 8/2/2022
0.97.0 8,010 7/20/2022
0.96.8 8,564 6/21/2022
0.96.7 10,137 6/2/2022
0.96.6 9,751 5/14/2022
0.96.5 9,098 4/19/2022
0.96.4 8,783 4/19/2022
0.96.3 8,472 2/23/2022
0.96.1 7,551 2/22/2022
0.96.0 34,205 2/3/2022
0.95.4 8,036 12/3/2021
0.95.3 8,196 11/15/2021
0.95.2 7,607 11/10/2021
0.95.1 6,708 11/6/2021
0.93.9 7,753 10/29/2021
0.93.8 8,268 10/25/2021
0.93.6 7,561 10/20/2021
0.93.5 18,698 10/8/2021
0.93.4 8,148 10/7/2021
0.93.3 8,556 10/6/2021
0.93.1 1,248 9/30/2021
0.93.0 1,333 9/29/2021
0.92.52220 1,323 9/14/2021
0.91.52719 5,277 7/24/2021
0.91.52681 9,185 6/23/2021
0.91.52680 1,417 6/22/2021
0.91.52672 1,432 6/22/2021
0.91.52666 1,501 6/21/2021
0.91.52661 1,229 6/20/2021
0.91.52660 1,235 6/20/2021
0.91.52621 1,238 6/16/2021
0.91.52604 2,031 5/27/2021
0.91.52577 1,304 5/10/2021
0.91.52573 1,207 5/10/2021
0.91.52518 8,721 3/25/2021
0.91.52511 1,232 3/25/2021
0.91.52508 1,210 3/25/2021
0.91.52506 1,216 3/25/2021
0.91.52502 1,247 3/25/2021
0.91.52475 1,257 3/24/2021
0.91.52458 2,513 3/23/2021
0.91.52214-preview-local-Re... 1,003 9/2/2021
0.9.52445 1,322 3/19/2021
0.3.52431 1,277 3/19/2021
0.3.52428 1,251 3/19/2021
0.3.52423 1,318 3/18/2021
0.3.52363 2,427 12/3/2020
0.3.52357 5,013 11/30/2020
0.3.52353 2,402 11/26/2020
0.3.52348 2,791 11/20/2020
0.3.52345 1,345 11/20/2020
0.3.52338 3,362 11/13/2020
0.3.52320 3,177 11/11/2020
0.3.52318 1,477 11/11/2020
0.3.52312 1,362 11/11/2020
0.3.52293 2,100 11/6/2020
0.3.52276 13,004 9/15/2020
0.3.52267 6,313 6/29/2020
0.3.52264 1,465 6/27/2020
0.3.52259 1,771 6/25/2020
0.3.52253 1,392 6/12/2020
0.3.52249 1,621 6/8/2020
0.3.52235 1,532 6/3/2020
0.3.52229 1,398 6/3/2020
0.3.52216 1,501 5/24/2020
0.3.52209 1,607 5/22/2020
0.2.0-preview-27930-2 1,479 7/31/2019
0.2.0-preview-27915-4 1,352 7/16/2019
0.2.0-preview-27912-2 1,285 7/12/2019
0.2.0-preview-27829-1 1,226 7/5/2019
0.1.0 4,094 11/13/2018