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 1,811 2/22/2023
0.99.2 2,437 1/17/2023
0.99.1 3,224 11/30/2022
0.99.0 6,826 11/8/2022
0.98.3 3,854 11/2/2022
0.98.2 2,630 11/1/2022
0.98.1 18,823 10/13/2022
0.98.0 2,767 10/4/2022
0.97.6 3,371 9/16/2022
0.97.5 3,066 9/13/2022
0.97.4 2,542 9/12/2022
0.97.3 4,657 8/17/2022
0.97.2 3,254 8/9/2022
0.97.1 2,915 8/2/2022
0.97.0 3,216 7/20/2022
0.96.8 3,671 6/21/2022
0.96.7 4,111 6/2/2022
0.96.6 4,233 5/14/2022
0.96.5 4,784 4/19/2022
0.96.4 3,564 4/19/2022
0.96.3 4,078 2/23/2022
0.96.1 3,299 2/22/2022
0.96.0 12,289 2/3/2022
0.95.4 3,517 12/3/2021
0.95.3 3,713 11/15/2021
0.95.2 3,072 11/10/2021
0.95.1 2,568 11/6/2021
0.93.9 3,424 10/29/2021
0.93.8 3,725 10/25/2021
0.93.6 3,414 10/20/2021
0.93.5 7,726 10/8/2021
0.93.4 3,752 10/7/2021
0.93.3 3,400 10/6/2021
0.93.1 349 9/30/2021
0.93.0 345 9/29/2021
0.92.52220 405 9/14/2021
0.91.52719 2,353 7/24/2021
0.91.52681 3,833 6/23/2021
0.91.52680 422 6/22/2021
0.91.52672 434 6/22/2021
0.91.52666 463 6/21/2021
0.91.52661 338 6/20/2021
0.91.52660 342 6/20/2021
0.91.52621 349 6/16/2021
0.91.52604 426 5/27/2021
0.91.52577 374 5/10/2021
0.91.52573 318 5/10/2021
0.91.52518 3,662 3/25/2021
0.91.52511 344 3/25/2021
0.91.52508 319 3/25/2021
0.91.52506 342 3/25/2021
0.91.52502 354 3/25/2021
0.91.52475 326 3/24/2021
0.91.52458 905 3/23/2021
0.91.52214-preview-local-Re... 155 9/2/2021
0.9.52445 368 3/19/2021
0.3.52431 363 3/19/2021
0.3.52428 366 3/19/2021
0.3.52423 339 3/18/2021
0.3.52363 937 12/3/2020
0.3.52357 1,943 11/30/2020
0.3.52353 814 11/26/2020
0.3.52348 962 11/20/2020
0.3.52345 397 11/20/2020
0.3.52338 1,241 11/13/2020
0.3.52320 1,126 11/11/2020
0.3.52318 420 11/11/2020
0.3.52312 395 11/11/2020
0.3.52293 748 11/6/2020
0.3.52276 6,842 9/15/2020
0.3.52267 3,123 6/29/2020
0.3.52264 469 6/27/2020
0.3.52259 522 6/25/2020
0.3.52253 452 6/12/2020
0.3.52249 645 6/8/2020
0.3.52235 506 6/3/2020
0.3.52229 403 6/3/2020
0.3.52216 592 5/24/2020
0.3.52209 598 5/22/2020
0.2.0-preview-27930-2 558 7/31/2019
0.2.0-preview-27915-4 458 7/16/2019
0.2.0-preview-27912-2 373 7/12/2019
0.2.0-preview-27829-1 361 7/5/2019
0.1.0 1,087 11/13/2018