TorchSharp 0.99.3

.NET Core 3.1 .NET Standard 2.0 
dotnet add package TorchSharp --version 0.99.3
NuGet\Install-Package TorchSharp -Version 0.99.3
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="0.99.3" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add TorchSharp --version 0.99.3
#r "nuget: TorchSharp, 0.99.3"
#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=0.99.3

// Install TorchSharp as a Cake Tool
#tool nuget:?package=TorchSharp&version=0.99.3

.NET Bindings for Torch. Requires reference to one of libtorch-cpu, libtorch-cuda-11.7, libtorch-cuda-11.7-win-x64 or libtorch-cuda-11.7-linux-x64 version 1.13.0.1 to execute.

Product Versions
.NET net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-windows
.NET Core netcoreapp2.0 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1
.NET Standard netstandard2.0 netstandard2.1
.NET Framework net461 net462 net463 net47 net471 net472 net48 net481
MonoAndroid monoandroid
MonoMac monomac
MonoTouch monotouch
Tizen tizen40 tizen60
Xamarin.iOS xamarinios
Xamarin.Mac xamarinmac
Xamarin.TVOS xamarintvos
Xamarin.WatchOS xamarinwatchos
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (13)

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 1.13.0 CUDA 11.7 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/
TorchSharp-cuda-linux

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 1.13.0 CUDA 11.7 support for Linux.
Microsoft.ML.TorchSharp The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

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

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 1.13.0 CPU support.

GitHub repositories (2)

Showing the top 2 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#
Version Downloads Last updated
0.99.3 2,272 2/22/2023
0.99.2 2,664 1/17/2023
0.99.1 3,354 11/30/2022
0.99.0 7,644 11/8/2022
0.98.3 4,087 11/2/2022
0.98.2 2,743 11/1/2022
0.98.1 20,034 10/13/2022
0.98.0 2,856 10/4/2022
0.97.6 3,469 9/16/2022
0.97.5 3,161 9/13/2022
0.97.4 2,607 9/12/2022
0.97.3 4,792 8/17/2022
0.97.2 3,369 8/9/2022
0.97.1 3,015 8/2/2022
0.97.0 3,316 7/20/2022
0.96.8 3,769 6/21/2022
0.96.7 4,226 6/2/2022
0.96.6 4,353 5/14/2022
0.96.5 4,903 4/19/2022
0.96.4 3,666 4/19/2022
0.96.3 4,243 2/23/2022
0.96.1 3,391 2/22/2022
0.96.0 12,573 2/3/2022
0.95.4 3,600 12/3/2021
0.95.3 3,797 11/15/2021
0.95.2 3,137 11/10/2021
0.95.1 2,637 11/6/2021
0.93.9 3,523 10/29/2021
0.93.8 3,795 10/25/2021
0.93.6 3,494 10/20/2021
0.93.5 7,912 10/8/2021
0.93.4 3,851 10/7/2021
0.93.3 3,508 10/6/2021
0.93.1 350 9/30/2021
0.93.0 346 9/29/2021
0.92.52220 406 9/14/2021
0.91.52719 2,359 7/24/2021
0.91.52681 3,838 6/23/2021
0.91.52680 423 6/22/2021
0.91.52672 437 6/22/2021
0.91.52666 464 6/21/2021
0.91.52661 339 6/20/2021
0.91.52660 343 6/20/2021
0.91.52621 350 6/16/2021
0.91.52604 430 5/27/2021
0.91.52577 375 5/10/2021
0.91.52573 319 5/10/2021
0.91.52518 3,663 3/25/2021
0.91.52511 345 3/25/2021
0.91.52508 320 3/25/2021
0.91.52506 343 3/25/2021
0.91.52502 355 3/25/2021
0.91.52475 327 3/24/2021
0.91.52458 906 3/23/2021
0.91.52214-preview-local-Re... 156 9/2/2021
0.9.52445 371 3/19/2021
0.3.52431 364 3/19/2021
0.3.52428 367 3/19/2021
0.3.52423 340 3/18/2021
0.3.52363 940 12/3/2020
0.3.52357 1,944 11/30/2020
0.3.52353 815 11/26/2020
0.3.52348 963 11/20/2020
0.3.52345 398 11/20/2020
0.3.52338 1,243 11/13/2020
0.3.52320 1,129 11/11/2020
0.3.52318 423 11/11/2020
0.3.52312 397 11/11/2020
0.3.52293 752 11/6/2020
0.3.52276 6,849 9/15/2020
0.3.52267 3,126 6/29/2020
0.3.52264 472 6/27/2020
0.3.52259 525 6/25/2020
0.3.52253 455 6/12/2020
0.3.52249 648 6/8/2020
0.3.52235 511 6/3/2020
0.3.52229 406 6/3/2020
0.3.52216 595 5/24/2020
0.3.52209 601 5/22/2020
0.2.0-preview-27930-2 560 7/31/2019
0.2.0-preview-27915-4 460 7/16/2019
0.2.0-preview-27912-2 375 7/12/2019
0.2.0-preview-27829-1 363 7/5/2019
0.1.0 1,088 11/13/2018