DiffSharp.Core
1.0.7
dotnet add package DiffSharp.Core --version 1.0.7
NuGet\Install-Package DiffSharp.Core -Version 1.0.7
<PackageReference Include="DiffSharp.Core" Version="1.0.7" />
paket add DiffSharp.Core --version 1.0.7
#r "nuget: DiffSharp.Core, 1.0.7"
// 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
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 net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-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 |
-
.NETStandard 2.1
- FSharp.Core (>= 6.0.3)
NuGet packages (8)
Showing the top 5 NuGet packages that depend on DiffSharp.Core:
Package | Downloads |
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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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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/ |
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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-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-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/ |
GitHub repositories
This package is not used by any popular GitHub repositories.