TorchSharp 0.91.52214-preview-local-Release-20210902

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There is a newer version of this package available.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 0.91.52214-preview-local-Release-20210902
                    
NuGet\Install-Package TorchSharp -Version 0.91.52214-preview-local-Release-20210902
                    
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="0.91.52214-preview-local-Release-20210902" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="TorchSharp" Version="0.91.52214-preview-local-Release-20210902" />
                    
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 0.91.52214-preview-local-Release-20210902
                    
#r "nuget: TorchSharp, 0.91.52214-preview-local-Release-20210902"
                    
#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@0.91.52214-preview-local-Release-20210902
                    
#: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=0.91.52214-preview-local-Release-20210902&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=TorchSharp&version=0.91.52214-preview-local-Release-20210902&prerelease
                    
Install as a Cake Tool

.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.  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 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 (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 (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
0.105.1 26,135 7/2/2025
0.105.0 37,540 12/12/2024
0.104.0 5,183 12/5/2024
0.103.1 10,487 10/24/2024
0.103.0 10,715 8/6/2024
0.102.8 1,739 8/1/2024
0.102.7 76,275 7/17/2024
0.102.6 6,751 6/20/2024
0.102.5 3,762 6/7/2024
0.102.4 8,375 4/17/2024
0.102.3 6,546 3/26/2024
0.102.2 16,083 3/5/2024
0.102.1 3,286 3/5/2024
0.102.0 5,899 2/27/2024
0.101.6 5,276 2/9/2024
0.101.5 106,112 12/20/2023
0.101.4 4,426 12/15/2023
0.101.3 3,734 12/13/2023
0.101.2 6,720 11/14/2023
0.101.1 4,500 11/2/2023
0.101.0 3,929 11/2/2023
0.100.7 4,641 10/25/2023
0.100.6 4,121 10/19/2023
0.100.5 7,456 9/21/2023
0.100.4 10,293 8/14/2023
0.100.3 17,835 6/25/2023
0.100.2 6,496 6/14/2023
0.100.1 5,724 6/5/2023
0.100.0 7,641 5/15/2023
0.99.6 22,617 4/28/2023
0.99.5 36,819 4/26/2023
0.99.4 7,534 4/4/2023
0.99.3 10,855 2/22/2023
0.99.2 11,096 1/17/2023
0.99.1 10,938 11/30/2022
0.99.0 16,815 11/8/2022
0.98.3 14,859 11/2/2022
0.98.2 7,861 11/1/2022
0.98.1 106,318 10/13/2022
0.98.0 7,231 10/4/2022
0.97.6 8,036 9/16/2022
0.97.5 7,746 9/13/2022
0.97.4 6,984 9/12/2022
0.97.3 10,441 8/17/2022
0.97.2 7,947 8/9/2022
0.97.1 7,875 8/2/2022
0.97.0 7,990 7/20/2022
0.96.8 8,544 6/21/2022
0.96.7 10,107 6/2/2022
0.96.6 9,737 5/14/2022
0.96.5 9,066 4/19/2022
0.96.4 8,765 4/19/2022
0.96.3 8,452 2/23/2022
0.96.1 7,532 2/22/2022
0.96.0 34,131 2/3/2022
0.95.4 8,013 12/3/2021
0.95.3 8,169 11/15/2021
0.95.2 7,588 11/10/2021
0.95.1 6,689 11/6/2021
0.93.9 7,729 10/29/2021
0.93.8 8,249 10/25/2021
0.93.6 7,545 10/20/2021
0.93.5 18,669 10/8/2021
0.93.4 8,126 10/7/2021
0.93.3 8,525 10/6/2021
0.93.1 1,227 9/30/2021
0.93.0 1,309 9/29/2021
0.92.52220 1,301 9/14/2021
0.91.52719 5,256 7/24/2021
0.91.52681 9,158 6/23/2021
0.91.52680 1,395 6/22/2021
0.91.52672 1,414 6/22/2021
0.91.52666 1,482 6/21/2021
0.91.52661 1,201 6/20/2021
0.91.52660 1,204 6/20/2021
0.91.52621 1,211 6/16/2021
0.91.52604 1,920 5/27/2021
0.91.52577 1,283 5/10/2021
0.91.52573 1,188 5/10/2021
0.91.52518 8,704 3/25/2021
0.91.52511 1,213 3/25/2021
0.91.52508 1,188 3/25/2021
0.91.52506 1,190 3/25/2021
0.91.52502 1,224 3/25/2021
0.91.52475 1,238 3/24/2021
0.91.52458 2,492 3/23/2021
0.91.52214-preview-local-Re... 978 9/2/2021
0.9.52445 1,301 3/19/2021
0.3.52431 1,254 3/19/2021
0.3.52428 1,230 3/19/2021
0.3.52423 1,299 3/18/2021
0.3.52363 2,396 12/3/2020
0.3.52357 4,993 11/30/2020
0.3.52353 2,379 11/26/2020
0.3.52348 2,770 11/20/2020
0.3.52345 1,327 11/20/2020
0.3.52338 3,338 11/13/2020
0.3.52320 3,141 11/11/2020
0.3.52318 1,459 11/11/2020
0.3.52312 1,342 11/11/2020
0.3.52293 2,075 11/6/2020
0.3.52276 12,977 9/15/2020
0.3.52267 6,295 6/29/2020
0.3.52264 1,429 6/27/2020
0.3.52259 1,738 6/25/2020
0.3.52253 1,374 6/12/2020
0.3.52249 1,600 6/8/2020
0.3.52235 1,512 6/3/2020
0.3.52229 1,380 6/3/2020
0.3.52216 1,479 5/24/2020
0.3.52209 1,590 5/22/2020
0.2.0-preview-27930-2 1,442 7/31/2019
0.2.0-preview-27915-4 1,330 7/16/2019
0.2.0-preview-27912-2 1,251 7/12/2019
0.2.0-preview-27829-1 1,196 7/5/2019
0.1.0 4,061 11/13/2018