TorchSharp 0.2.0-preview-27915-4

This is a prerelease version of TorchSharp.
There is a newer version of this package available.
See the version list below for details.
dotnet add package TorchSharp --version 0.2.0-preview-27915-4
                    
NuGet\Install-Package TorchSharp -Version 0.2.0-preview-27915-4
                    
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="0.2.0-preview-27915-4" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="TorchSharp" Version="0.2.0-preview-27915-4" />
                    
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 0.2.0-preview-27915-4
                    
#r "nuget: TorchSharp, 0.2.0-preview-27915-4"
                    
#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@0.2.0-preview-27915-4
                    
#: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=0.2.0-preview-27915-4&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=TorchSharp&version=0.2.0-preview-27915-4&prerelease
                    
Install as a Cake Tool

.NET Bindings for Toch.

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.  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 (32)

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

TorchSharp-cuda-windows

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.5.1 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/

GitHub repositories (3)

Showing the top 3 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
uxmal/pytocs
Converts Python source to C#
IntptrMax/YoloSharp
Train Yolo with C#
Version Downloads Last Updated
0.105.1 8,433 7/2/2025
0.105.0 29,984 12/12/2024
0.104.0 3,577 12/5/2024
0.103.1 9,497 10/24/2024
0.103.0 10,083 8/6/2024
0.102.8 1,494 8/1/2024
0.102.7 53,998 7/17/2024
0.102.6 6,140 6/20/2024
0.102.5 3,481 6/7/2024
0.102.4 7,260 4/17/2024
0.102.3 5,338 3/26/2024
0.102.2 14,696 3/5/2024
0.102.1 2,974 3/5/2024
0.102.0 5,294 2/27/2024
0.101.6 5,005 2/9/2024
0.101.5 85,836 12/20/2023
0.101.4 3,942 12/15/2023
0.101.3 3,570 12/13/2023
0.101.2 6,394 11/14/2023
0.101.1 4,140 11/2/2023
0.101.0 3,741 11/2/2023
0.100.7 4,363 10/25/2023
0.100.6 3,935 10/19/2023
0.100.5 7,274 9/21/2023
0.100.4 9,983 8/14/2023
0.100.3 16,104 6/25/2023
0.100.2 6,182 6/14/2023
0.100.1 5,448 6/5/2023
0.100.0 7,244 5/15/2023
0.99.6 22,345 4/28/2023
0.99.5 35,167 4/26/2023
0.99.4 7,376 4/4/2023
0.99.3 10,484 2/22/2023
0.99.2 10,844 1/17/2023
0.99.1 10,700 11/30/2022
0.99.0 16,535 11/8/2022
0.98.3 14,516 11/2/2022
0.98.2 7,607 11/1/2022
0.98.1 98,961 10/13/2022
0.98.0 7,058 10/4/2022
0.97.6 7,892 9/16/2022
0.97.5 7,539 9/13/2022
0.97.4 6,825 9/12/2022
0.97.3 10,287 8/17/2022
0.97.2 7,768 8/9/2022
0.97.1 7,721 8/2/2022
0.97.0 7,834 7/20/2022
0.96.8 8,400 6/21/2022
0.96.7 9,935 6/2/2022
0.96.6 9,484 5/14/2022
0.96.5 8,876 4/19/2022
0.96.4 8,607 4/19/2022
0.96.3 8,301 2/23/2022
0.96.1 7,394 2/22/2022
0.96.0 32,075 2/3/2022
0.95.4 7,866 12/3/2021
0.95.3 8,023 11/15/2021
0.95.2 7,463 11/10/2021
0.95.1 6,569 11/6/2021
0.93.9 7,577 10/29/2021
0.93.8 8,105 10/25/2021
0.93.6 7,398 10/20/2021
0.93.5 18,089 10/8/2021
0.93.4 7,940 10/7/2021
0.93.3 8,293 10/6/2021
0.93.1 1,153 9/30/2021
0.93.0 1,217 9/29/2021
0.92.52220 1,227 9/14/2021
0.91.52719 4,418 7/24/2021
0.91.52681 7,576 6/23/2021
0.91.52680 1,276 6/22/2021
0.91.52672 1,307 6/22/2021
0.91.52666 1,353 6/21/2021
0.91.52661 1,130 6/20/2021
0.91.52660 1,132 6/20/2021
0.91.52621 1,128 6/16/2021
0.91.52604 1,823 5/27/2021
0.91.52577 1,207 5/10/2021
0.91.52573 1,115 5/10/2021
0.91.52518 7,047 3/25/2021
0.91.52511 1,141 3/25/2021
0.91.52508 1,119 3/25/2021
0.91.52506 1,117 3/25/2021
0.91.52502 1,153 3/25/2021
0.91.52475 1,167 3/24/2021
0.91.52458 2,106 3/23/2021
0.91.52214-preview-local-Re... 896 9/2/2021
0.9.52445 1,209 3/19/2021
0.3.52431 1,176 3/19/2021
0.3.52428 1,156 3/19/2021
0.3.52423 1,194 3/18/2021
0.3.52363 2,063 12/3/2020
0.3.52357 4,130 11/30/2020
0.3.52353 2,101 11/26/2020
0.3.52348 2,360 11/20/2020
0.3.52345 1,242 11/20/2020
0.3.52338 2,814 11/13/2020
0.3.52320 2,714 11/11/2020
0.3.52318 1,370 11/11/2020
0.3.52312 1,248 11/11/2020
0.3.52293 1,860 11/6/2020
0.3.52276 10,857 9/15/2020
0.3.52267 5,276 6/29/2020
0.3.52264 1,349 6/27/2020
0.3.52259 1,659 6/25/2020
0.3.52253 1,300 6/12/2020
0.3.52249 1,523 6/8/2020
0.3.52235 1,420 6/3/2020
0.3.52229 1,299 6/3/2020
0.3.52216 1,412 5/24/2020
0.3.52209 1,502 5/22/2020
0.2.0-preview-27930-2 1,365 7/31/2019
0.2.0-preview-27915-4 1,249 7/16/2019
0.2.0-preview-27912-2 1,175 7/12/2019
0.2.0-preview-27829-1 1,123 7/5/2019
0.1.0 3,914 11/13/2018