TorchSharp 0.2.0-preview-27829-1
This is a prerelease version of TorchSharp.
There is a newer version of this package available.
See the version list below for details.
See the version list below for details.
dotnet add package TorchSharp --version 0.2.0-preview-27829-1
NuGet\Install-Package TorchSharp -Version 0.2.0-preview-27829-1
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-27829-1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add TorchSharp --version 0.2.0-preview-27829-1
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: TorchSharp, 0.2.0-preview-27829-1"
#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=0.2.0-preview-27829-1&prerelease // Install TorchSharp as a Cake Tool #tool nuget:?package=TorchSharp&version=0.2.0-preview-27829-1&prerelease
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
.NET Bindings for Toch.
| Product | Versions 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. |
| .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.
-
.NETStandard 2.0
- System.Memory (>= 4.5.1)
NuGet packages (21)
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 2.5.1 CUDA 12.1 support for Windows. |
|
|
Microsoft.ML.TorchSharp
Microsoft.ML.TorchSharp contains ML.NET integration of TorchSharp. |
|
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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/ |
|
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TorchSharp-cuda-linux
TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.5.1 CUDA 12.1 support for Linux. |
|
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TorchSharp-cpu
TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.5.1 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 |
|---|---|---|
| 0.105.0 | 1,053 | 12/12/2024 |
| 0.104.0 | 1,245 | 12/5/2024 |
| 0.103.1 | 5,199 | 10/24/2024 |
| 0.103.0 | 7,542 | 8/6/2024 |
| 0.102.8 | 1,239 | 8/1/2024 |
| 0.102.7 | 8,049 | 7/17/2024 |
| 0.102.6 | 5,019 | 6/20/2024 |
| 0.102.5 | 3,128 | 6/7/2024 |
| 0.102.4 | 5,865 | 4/17/2024 |
| 0.102.3 | 5,061 | 3/26/2024 |
| 0.102.2 | 11,173 | 3/5/2024 |
| 0.102.1 | 2,764 | 3/5/2024 |
| 0.102.0 | 3,942 | 2/27/2024 |
| 0.101.6 | 4,679 | 2/9/2024 |
| 0.101.5 | 57,656 | 12/20/2023 |
| 0.101.4 | 3,718 | 12/15/2023 |
| 0.101.3 | 3,363 | 12/13/2023 |
| 0.101.2 | 6,123 | 11/14/2023 |
| 0.101.1 | 3,884 | 11/2/2023 |
| 0.101.0 | 3,544 | 11/2/2023 |
| 0.100.7 | 3,928 | 10/25/2023 |
| 0.100.6 | 3,774 | 10/19/2023 |
| 0.100.5 | 6,945 | 9/21/2023 |
| 0.100.4 | 9,785 | 8/14/2023 |
| 0.100.3 | 11,275 | 6/25/2023 |
| 0.100.2 | 5,775 | 6/14/2023 |
| 0.100.1 | 4,987 | 6/5/2023 |
| 0.100.0 | 6,568 | 5/15/2023 |
| 0.99.6 | 14,806 | 4/28/2023 |
| 0.99.5 | 31,303 | 4/26/2023 |
| 0.99.4 | 7,043 | 4/4/2023 |
| 0.99.3 | 9,964 | 2/22/2023 |
| 0.99.2 | 10,222 | 1/17/2023 |
| 0.99.1 | 9,853 | 11/30/2022 |
| 0.99.0 | 13,806 | 11/8/2022 |
| 0.98.3 | 13,345 | 11/2/2022 |
| 0.98.2 | 7,427 | 11/1/2022 |
| 0.98.1 | 89,974 | 10/13/2022 |
| 0.98.0 | 6,880 | 10/4/2022 |
| 0.97.6 | 7,526 | 9/16/2022 |
| 0.97.5 | 7,249 | 9/13/2022 |
| 0.97.4 | 6,480 | 9/12/2022 |
| 0.97.3 | 9,987 | 8/17/2022 |
| 0.97.2 | 7,451 | 8/9/2022 |
| 0.97.1 | 7,344 | 8/2/2022 |
| 0.97.0 | 7,522 | 7/20/2022 |
| 0.96.8 | 8,181 | 6/21/2022 |
| 0.96.7 | 9,580 | 6/2/2022 |
| 0.96.6 | 9,115 | 5/14/2022 |
| 0.96.5 | 8,608 | 4/19/2022 |
| 0.96.4 | 8,246 | 4/19/2022 |
| 0.96.3 | 8,028 | 2/23/2022 |
| 0.96.1 | 7,167 | 2/22/2022 |
| 0.96.0 | 30,458 | 2/3/2022 |
| 0.95.4 | 7,454 | 12/3/2021 |
| 0.95.3 | 7,692 | 11/15/2021 |
| 0.95.2 | 7,104 | 11/10/2021 |
| 0.95.1 | 6,340 | 11/6/2021 |
| 0.93.9 | 7,241 | 10/29/2021 |
| 0.93.8 | 7,702 | 10/25/2021 |
| 0.93.6 | 7,129 | 10/20/2021 |
| 0.93.5 | 17,366 | 10/8/2021 |
| 0.93.4 | 7,624 | 10/7/2021 |
| 0.93.3 | 7,787 | 10/6/2021 |
| 0.93.1 | 1,062 | 9/30/2021 |
| 0.93.0 | 1,119 | 9/29/2021 |
| 0.92.52220 | 1,112 | 9/14/2021 |
| 0.91.52719 | 4,325 | 7/24/2021 |
| 0.91.52681 | 7,422 | 6/23/2021 |
| 0.91.52680 | 1,192 | 6/22/2021 |
| 0.91.52672 | 1,224 | 6/22/2021 |
| 0.91.52666 | 1,264 | 6/21/2021 |
| 0.91.52661 | 1,042 | 6/20/2021 |
| 0.91.52660 | 1,050 | 6/20/2021 |
| 0.91.52621 | 1,037 | 6/16/2021 |
| 0.91.52604 | 1,389 | 5/27/2021 |
| 0.91.52577 | 1,118 | 5/10/2021 |
| 0.91.52573 | 1,024 | 5/10/2021 |
| 0.91.52518 | 6,956 | 3/25/2021 |
| 0.91.52511 | 1,050 | 3/25/2021 |
| 0.91.52508 | 1,021 | 3/25/2021 |
| 0.91.52506 | 1,021 | 3/25/2021 |
| 0.91.52502 | 1,060 | 3/25/2021 |
| 0.91.52475 | 1,061 | 3/24/2021 |
| 0.91.52458 | 2,004 | 3/23/2021 |
| 0.91.52214-preview-local-Re... | 816 | 9/2/2021 |
| 0.9.52445 | 1,117 | 3/19/2021 |
| 0.3.52431 | 1,082 | 3/19/2021 |
| 0.3.52428 | 1,050 | 3/19/2021 |
| 0.3.52423 | 1,100 | 3/18/2021 |
| 0.3.52363 | 1,959 | 12/3/2020 |
| 0.3.52357 | 4,027 | 11/30/2020 |
| 0.3.52353 | 1,991 | 11/26/2020 |
| 0.3.52348 | 2,238 | 11/20/2020 |
| 0.3.52345 | 1,135 | 11/20/2020 |
| 0.3.52338 | 2,690 | 11/13/2020 |
| 0.3.52320 | 2,511 | 11/11/2020 |
| 0.3.52318 | 1,192 | 11/11/2020 |
| 0.3.52312 | 1,143 | 11/11/2020 |
| 0.3.52293 | 1,762 | 11/6/2020 |
| 0.3.52276 | 10,733 | 9/15/2020 |
| 0.3.52267 | 5,179 | 6/29/2020 |
| 0.3.52264 | 1,240 | 6/27/2020 |
| 0.3.52259 | 1,559 | 6/25/2020 |
| 0.3.52253 | 1,199 | 6/12/2020 |
| 0.3.52249 | 1,420 | 6/8/2020 |
| 0.3.52235 | 1,311 | 6/3/2020 |
| 0.3.52229 | 1,200 | 6/3/2020 |
| 0.3.52216 | 1,312 | 5/24/2020 |
| 0.3.52209 | 1,391 | 5/22/2020 |
| 0.2.0-preview-27930-2 | 1,234 | 7/31/2019 |
| 0.2.0-preview-27915-4 | 1,139 | 7/16/2019 |
| 0.2.0-preview-27912-2 | 1,064 | 7/12/2019 |
| 0.2.0-preview-27829-1 | 1,016 | 7/5/2019 |
| 0.1.0 | 3,494 | 11/13/2018 |