DiffSharp.Backends.Torch 1.0.7

.NET 6.0
Install-Package DiffSharp.Backends.Torch -Version 1.0.7
dotnet add package DiffSharp.Backends.Torch --version 1.0.7
<PackageReference Include="DiffSharp.Backends.Torch" Version="1.0.7" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add DiffSharp.Backends.Torch --version 1.0.7
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: DiffSharp.Backends.Torch, 1.0.7"
#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 DiffSharp.Backends.Torch as a Cake Addin
#addin nuget:?package=DiffSharp.Backends.Torch&version=1.0.7

// Install DiffSharp.Backends.Torch as a Cake Tool
#tool nuget:?package=DiffSharp.Backends.Torch&version=1.0.7
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

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/

Product Versions
.NET net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (4)

Showing the top 4 NuGet packages that depend on DiffSharp.Backends.Torch:

Package Downloads
DiffSharp-cuda-windows

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/

DiffSharp-cpu

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/

DiffSharp-cuda-linux

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/

DiffSharp-lite

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

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.0.7 527 3/26/2022
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