TorchSharp 0.96.8

.NET Core 3.1 .NET Standard 2.0 
Install-Package TorchSharp -Version 0.96.8
dotnet add package TorchSharp --version 0.96.8
<PackageReference Include="TorchSharp" Version="0.96.8" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add TorchSharp --version 0.96.8
The NuGet Team does not provide support for this client. Please contact its maintainers for support. 
#r "nuget: TorchSharp, 0.96.8"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. 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=0.96.8

// Install TorchSharp as a Cake Tool
#tool nuget:?package=TorchSharp&version=0.96.8
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

.NET Bindings for Torch. Requires reference to one of libtorch-cpu, libtorch-cuda-11.3, libtorch-cuda-11.3-win-x64 or libtorch-cuda-11.3-linux-x64 version 1.11.0.1 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
.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
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 (10)

Showing the top 5 NuGet packages that depend on TorchSharp:

Package Downloads
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-windows

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 1.11.0 CUDA 11.3 support for Windows.
TorchSharp-cuda-linux

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 1.11.0 CUDA 11.3 support for Linux.
TorchSharp-cpu

TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 1.11.0 CPU support.
FsTsetlin

Tsetlin machine ML library. Uses tensor operations to parallelize learning and prediction. It utilizes the tensor library underpinning TorchSharp/PyTorch.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
0.96.8 119 6/21/2022
0.96.7 291 6/2/2022
0.96.6 365 5/14/2022
0.96.5 1,077 4/19/2022
0.96.4 204 4/19/2022
0.96.3 835 2/23/2022
0.96.1 302 2/22/2022
0.96.0 2,122 2/3/2022
0.95.4 1,043 12/3/2021
0.95.3 896 11/15/2021
0.95.2 888 11/10/2021
0.95.1 804 11/6/2021
0.93.9 869 10/29/2021
0.93.8 1,086 10/25/2021
0.93.6 1,097 10/20/2021
0.93.5 2,599 10/8/2021
0.93.4 1,150 10/7/2021
0.93.3 965 10/6/2021
0.93.1 217 9/30/2021
0.93.0 207 9/29/2021
0.92.52220 273 9/14/2021
0.91.52719 2,211 7/24/2021
0.91.52681 3,577 6/23/2021
0.91.52680 283 6/22/2021
0.91.52672 308 6/22/2021
0.91.52666 308 6/21/2021
0.91.52661 200 6/20/2021
0.91.52660 215 6/20/2021
0.91.52621 223 6/16/2021
0.91.52604 252 5/27/2021
0.91.52577 245 5/10/2021
0.91.52573 183 5/10/2021
0.91.52518 3,508 3/25/2021
0.91.52511 213 3/25/2021
0.91.52508 186 3/25/2021
0.91.52506 212 3/25/2021
0.91.52502 211 3/25/2021
0.91.52475 201 3/24/2021
0.91.52458 764 3/23/2021
0.91.52214-preview-local-Re... 120 9/2/2021
0.9.52445 235 3/19/2021
0.3.52431 233 3/19/2021
0.3.52428 229 3/19/2021
0.3.52423 187 3/18/2021
0.3.52363 789 12/3/2020
0.3.52357 1,791 11/30/2020
0.3.52353 660 11/26/2020
0.3.52348 819 11/20/2020
0.3.52345 251 11/20/2020
0.3.52338 1,094 11/13/2020
0.3.52320 975 11/11/2020
0.3.52318 271 11/11/2020
0.3.52312 262 11/11/2020
0.3.52293 610 11/6/2020
0.3.52276 6,636 9/15/2020
0.3.52267 2,980 6/29/2020
0.3.52264 338 6/27/2020
0.3.52259 384 6/25/2020
0.3.52253 318 6/12/2020
0.3.52249 513 6/8/2020
0.3.52235 373 6/3/2020
0.3.52229 273 6/3/2020
0.3.52216 459 5/24/2020
0.3.52209 462 5/22/2020
0.2.0-preview-27930-2 525 7/31/2019
0.2.0-preview-27915-4 422 7/16/2019
0.2.0-preview-27912-2 343 7/12/2019
0.2.0-preview-27829-1 331 7/5/2019
0.1.0 901 11/13/2018