TorchSharp 0.105.1
dotnet add package TorchSharp --version 0.105.1
NuGet\Install-Package TorchSharp -Version 0.105.1
<PackageReference Include="TorchSharp" Version="0.105.1" />
<PackageVersion Include="TorchSharp" Version="0.105.1" />
<PackageReference Include="TorchSharp" />
paket add TorchSharp --version 0.105.1
#r "nuget: TorchSharp, 0.105.1"
#:package TorchSharp@0.105.1
#addin nuget:?package=TorchSharp&version=0.105.1
#tool nuget:?package=TorchSharp&version=0.105.1
.NET Bindings for Torch. Requires reference to one of libtorch-cpu, libtorch-cuda-12.1, libtorch-cuda-12.1-win-x64 or libtorch-cuda-12.1-linux-x64 version 2.5.1.0 to execute.
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net5.0 was computed. net5.0-windows was computed. net6.0 is compatible. 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 | 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. |
-
.NETStandard 2.0
- Google.Protobuf (>= 3.21.9)
- SharpZipLib (>= 1.4.0)
- SkiaSharp (>= 2.88.6)
- System.Memory (>= 4.5.5)
-
net6.0
- Google.Protobuf (>= 3.21.9)
- SharpZipLib (>= 1.4.0)
- SkiaSharp (>= 2.88.6)
- System.Memory (>= 4.5.5)
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 (3)
Showing the top 3 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#
|
|
IntptrMax/YoloSharp
Train Yolo with C#
|
Version | Downloads | Last Updated |
---|---|---|
0.105.1 | 2,057 | 7/2/2025 |
0.105.0 | 27,903 | 12/12/2024 |
0.104.0 | 3,374 | 12/5/2024 |
0.103.1 | 9,344 | 10/24/2024 |
0.103.0 | 9,919 | 8/6/2024 |
0.102.8 | 1,475 | 8/1/2024 |
0.102.7 | 46,441 | 7/17/2024 |
0.102.6 | 6,039 | 6/20/2024 |
0.102.5 | 3,463 | 6/7/2024 |
0.102.4 | 7,153 | 4/17/2024 |
0.102.3 | 5,322 | 3/26/2024 |
0.102.2 | 14,628 | 3/5/2024 |
0.102.1 | 2,964 | 3/5/2024 |
0.102.0 | 5,143 | 2/27/2024 |
0.101.6 | 4,986 | 2/9/2024 |
0.101.5 | 80,757 | 12/20/2023 |
0.101.4 | 3,924 | 12/15/2023 |
0.101.3 | 3,564 | 12/13/2023 |
0.101.2 | 6,386 | 11/14/2023 |
0.101.1 | 4,108 | 11/2/2023 |
0.101.0 | 3,723 | 11/2/2023 |
0.100.7 | 4,341 | 10/25/2023 |
0.100.6 | 3,930 | 10/19/2023 |
0.100.5 | 7,248 | 9/21/2023 |
0.100.4 | 9,955 | 8/14/2023 |
0.100.3 | 15,425 | 6/25/2023 |
0.100.2 | 6,153 | 6/14/2023 |
0.100.1 | 5,419 | 6/5/2023 |
0.100.0 | 7,201 | 5/15/2023 |
0.99.6 | 22,323 | 4/28/2023 |
0.99.5 | 34,388 | 4/26/2023 |
0.99.4 | 7,364 | 4/4/2023 |
0.99.3 | 10,447 | 2/22/2023 |
0.99.2 | 10,809 | 1/17/2023 |
0.99.1 | 10,676 | 11/30/2022 |
0.99.0 | 16,504 | 11/8/2022 |
0.98.3 | 14,478 | 11/2/2022 |
0.98.2 | 7,594 | 11/1/2022 |
0.98.1 | 97,923 | 10/13/2022 |
0.98.0 | 7,044 | 10/4/2022 |
0.97.6 | 7,879 | 9/16/2022 |
0.97.5 | 7,527 | 9/13/2022 |
0.97.4 | 6,815 | 9/12/2022 |
0.97.3 | 10,275 | 8/17/2022 |
0.97.2 | 7,755 | 8/9/2022 |
0.97.1 | 7,710 | 8/2/2022 |
0.97.0 | 7,821 | 7/20/2022 |
0.96.8 | 8,387 | 6/21/2022 |
0.96.7 | 9,914 | 6/2/2022 |
0.96.6 | 9,468 | 5/14/2022 |
0.96.5 | 8,863 | 4/19/2022 |
0.96.4 | 8,593 | 4/19/2022 |
0.96.3 | 8,288 | 2/23/2022 |
0.96.1 | 7,384 | 2/22/2022 |
0.96.0 | 32,023 | 2/3/2022 |
0.95.4 | 7,853 | 12/3/2021 |
0.95.3 | 8,010 | 11/15/2021 |
0.95.2 | 7,452 | 11/10/2021 |
0.95.1 | 6,556 | 11/6/2021 |
0.93.9 | 7,564 | 10/29/2021 |
0.93.8 | 8,094 | 10/25/2021 |
0.93.6 | 7,385 | 10/20/2021 |
0.93.5 | 18,075 | 10/8/2021 |
0.93.4 | 7,926 | 10/7/2021 |
0.93.3 | 8,275 | 10/6/2021 |
0.93.1 | 1,139 | 9/30/2021 |
0.93.0 | 1,200 | 9/29/2021 |
0.92.52220 | 1,213 | 9/14/2021 |
0.91.52719 | 4,404 | 7/24/2021 |
0.91.52681 | 7,554 | 6/23/2021 |
0.91.52680 | 1,263 | 6/22/2021 |
0.91.52672 | 1,294 | 6/22/2021 |
0.91.52666 | 1,341 | 6/21/2021 |
0.91.52661 | 1,118 | 6/20/2021 |
0.91.52660 | 1,120 | 6/20/2021 |
0.91.52621 | 1,114 | 6/16/2021 |
0.91.52604 | 1,785 | 5/27/2021 |
0.91.52577 | 1,194 | 5/10/2021 |
0.91.52573 | 1,101 | 5/10/2021 |
0.91.52518 | 7,037 | 3/25/2021 |
0.91.52511 | 1,129 | 3/25/2021 |
0.91.52508 | 1,104 | 3/25/2021 |
0.91.52506 | 1,105 | 3/25/2021 |
0.91.52502 | 1,138 | 3/25/2021 |
0.91.52475 | 1,156 | 3/24/2021 |
0.91.52458 | 2,091 | 3/23/2021 |
0.91.52214-preview-local-Re... | 884 | 9/2/2021 |
0.9.52445 | 1,198 | 3/19/2021 |
0.3.52431 | 1,162 | 3/19/2021 |
0.3.52428 | 1,145 | 3/19/2021 |
0.3.52423 | 1,181 | 3/18/2021 |
0.3.52363 | 2,049 | 12/3/2020 |
0.3.52357 | 4,115 | 11/30/2020 |
0.3.52353 | 2,086 | 11/26/2020 |
0.3.52348 | 2,345 | 11/20/2020 |
0.3.52345 | 1,228 | 11/20/2020 |
0.3.52338 | 2,798 | 11/13/2020 |
0.3.52320 | 2,698 | 11/11/2020 |
0.3.52318 | 1,352 | 11/11/2020 |
0.3.52312 | 1,233 | 11/11/2020 |
0.3.52293 | 1,846 | 11/6/2020 |
0.3.52276 | 10,840 | 9/15/2020 |
0.3.52267 | 5,263 | 6/29/2020 |
0.3.52264 | 1,332 | 6/27/2020 |
0.3.52259 | 1,643 | 6/25/2020 |
0.3.52253 | 1,287 | 6/12/2020 |
0.3.52249 | 1,503 | 6/8/2020 |
0.3.52235 | 1,404 | 6/3/2020 |
0.3.52229 | 1,285 | 6/3/2020 |
0.3.52216 | 1,400 | 5/24/2020 |
0.3.52209 | 1,488 | 5/22/2020 |
0.2.0-preview-27930-2 | 1,352 | 7/31/2019 |
0.2.0-preview-27915-4 | 1,235 | 7/16/2019 |
0.2.0-preview-27912-2 | 1,157 | 7/12/2019 |
0.2.0-preview-27829-1 | 1,106 | 7/5/2019 |
0.1.0 | 3,888 | 11/13/2018 |