DiffSharp.Data
1.0.7
dotnet add package DiffSharp.Data --version 1.0.7
NuGet\Install-Package DiffSharp.Data -Version 1.0.7
<PackageReference Include="DiffSharp.Data" Version="1.0.7" />
<PackageVersion Include="DiffSharp.Data" Version="1.0.7" />
<PackageReference Include="DiffSharp.Data" />
paket add DiffSharp.Data --version 1.0.7
#r "nuget: DiffSharp.Data, 1.0.7"
#:package DiffSharp.Data@1.0.7
#addin nuget:?package=DiffSharp.Data&version=1.0.7
#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 Compatible and additional computed target framework versions. |
|---|---|
| .NET | net5.0 was computed. net5.0-windows was computed. net6.0 was computed. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 was computed. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. net9.0 was computed. net9.0-android was computed. net9.0-browser was computed. net9.0-ios was computed. net9.0-maccatalyst was computed. net9.0-macos was computed. net9.0-tvos was computed. net9.0-windows was computed. net10.0 was computed. net10.0-android was computed. net10.0-browser was computed. net10.0-ios was computed. net10.0-maccatalyst was computed. net10.0-macos was computed. net10.0-tvos was computed. net10.0-windows was computed. |
| .NET Core | netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
| .NET Standard | netstandard2.1 is compatible. |
| MonoAndroid | monoandroid was computed. |
| MonoMac | monomac was computed. |
| MonoTouch | monotouch was computed. |
| Tizen | tizen60 was computed. |
| Xamarin.iOS | xamarinios was computed. |
| Xamarin.Mac | xamarinmac was computed. |
| Xamarin.TVOS | xamarintvos was computed. |
| Xamarin.WatchOS | xamarinwatchos was computed. |
-
.NETStandard 2.1
- DiffSharp.Core (>= 1.0.7)
- FSharp.Core (>= 6.0.3)
- SixLabors.ImageSharp (>= 1.0.1)
NuGet packages (5)
Showing the top 5 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/ |
|
|
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/ |
|
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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/ |
|
|
BondSharp-cpu
Package Description |
GitHub repositories
This package is not used by any popular GitHub repositories.
| Version | Downloads | Last Updated |
|---|---|---|
| 1.0.7 | 6,451 | 3/26/2022 |
| 1.0.7-preview2044360861 | 611 | 3/26/2022 |
| 1.0.7-preview1873603133 | 685 | 2/21/2022 |
| 1.0.7-preview1872895008 | 673 | 2/20/2022 |
| 1.0.7-preview1872194677 | 667 | 2/20/2022 |
| 1.0.7-preview1867437105 | 663 | 2/19/2022 |
| 1.0.7-preview1838897476 | 677 | 2/14/2022 |
| 1.0.7-preview1838869913 | 692 | 2/14/2022 |
| 1.0.6 | 6,839 | 2/9/2022 |
| 1.0.6-preview1838805210 | 633 | 2/14/2022 |
| 1.0.6-preview1838790927 | 707 | 2/14/2022 |
| 1.0.6-preview1838781533 | 659 | 2/14/2022 |
| 1.0.6-preview1838761310 | 702 | 2/14/2022 |
| 1.0.6-preview1838574327 | 737 | 2/14/2022 |
| 1.0.6-preview1838238393 | 701 | 2/13/2022 |
| 1.0.6-preview1837967313 | 717 | 2/13/2022 |
| 1.0.6-preview1837932839 | 467 | 2/13/2022 |
| 1.0.6-preview1837857091 | 535 | 2/13/2022 |
| 1.0.5 | 3,788 | 2/9/2022 |
| 1.0.4 | 4,015 | 2/8/2022 |