DiffSharp.Data
1.0.7
Install-Package DiffSharp.Data -Version 1.0.7
dotnet add package DiffSharp.Data --version 1.0.7
<PackageReference Include="DiffSharp.Data" Version="1.0.7" />
paket add DiffSharp.Data --version 1.0.7
#r "nuget: DiffSharp.Data, 1.0.7"
// Install DiffSharp.Data as a Cake Addin
#addin nuget:?package=DiffSharp.Data&version=1.0.7
// Install DiffSharp.Data as a Cake Tool
#tool nuget:?package=DiffSharp.Data&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 |
| .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
- DiffSharp.Core (>= 1.0.7)
- FSharp.Core (>= 6.0.3)
- SixLabors.ImageSharp (>= 1.0.1)
NuGet packages (4)
Showing the top 4 NuGet packages that depend on DiffSharp.Data:
| Package | Downloads |
|---|---|
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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/ |
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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/ |
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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/ |
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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.