DiffSharp.Backends.Reference 1.0.7

.NET Standard 2.1
Install-Package DiffSharp.Backends.Reference -Version 1.0.7
dotnet add package DiffSharp.Backends.Reference --version 1.0.7
<PackageReference Include="DiffSharp.Backends.Reference" 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.Reference --version 1.0.7
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: DiffSharp.Backends.Reference, 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.Reference as a Cake Addin
#addin nuget:?package=DiffSharp.Backends.Reference&version=1.0.7

// Install DiffSharp.Backends.Reference as a Cake Tool
#tool nuget:?package=DiffSharp.Backends.Reference&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 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 netcoreapp3.0 netcoreapp3.1
.NET Standard netstandard2.1
MonoAndroid monoandroid
MonoMac monomac
MonoTouch monotouch
Tizen 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 (4)

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

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
1.0.7 448 3/26/2022
1.0.7-preview2044360861 51 3/26/2022
1.0.7-preview1873603133 65 2/21/2022
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1.0.6 345 2/9/2022
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