DiffSharp.Core 1.0.7

.NET Standard 2.1
Install-Package DiffSharp.Core -Version 1.0.7
dotnet add package DiffSharp.Core --version 1.0.7
<PackageReference Include="DiffSharp.Core" Version="1.0.7" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add DiffSharp.Core --version 1.0.7
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: DiffSharp.Core, 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.Core as a Cake Addin
#addin nuget:?package=DiffSharp.Core&version=1.0.7

// Install DiffSharp.Core as a Cake Tool
#tool nuget:?package=DiffSharp.Core&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)
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NuGet packages (8)

Showing the top 5 NuGet packages that depend on DiffSharp.Core:

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/

DiffSharp.Backends.Reference

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-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/

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.0.7 462 3/26/2022
1.0.7-preview2044360861 45 3/26/2022
1.0.7-preview1873603133 69 2/21/2022
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1.0.6 377 2/9/2022
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1.0.5 259 2/9/2022
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1.0.1 743 11/8/2021
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