DiffSharp.Data 1.0.0-preview-987646120

.NET Standard 2.1
This is a prerelease version of DiffSharp.Data.
There is a newer version of this package available.
See the version list below for details.
dotnet add package DiffSharp.Data --version 1.0.0-preview-987646120
NuGet\Install-Package DiffSharp.Data -Version 1.0.0-preview-987646120
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="DiffSharp.Data" Version="1.0.0-preview-987646120" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add DiffSharp.Data --version 1.0.0-preview-987646120
#r "nuget: DiffSharp.Data, 1.0.0-preview-987646120"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install DiffSharp.Data as a Cake Addin
#addin nuget:?package=DiffSharp.Data&version=1.0.0-preview-987646120&prerelease

// Install DiffSharp.Data as a Cake Tool
#tool nuget:?package=DiffSharp.Data&version=1.0.0-preview-987646120&prerelease

Package Description

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
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.Data:

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-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/

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 1,789 3/26/2022
1.0.7-preview2044360861 82 3/26/2022
1.0.7-preview1873603133 98 2/21/2022
1.0.7-preview1872895008 74 2/20/2022
1.0.7-preview1872194677 81 2/20/2022
1.0.7-preview1867437105 79 2/19/2022
1.0.7-preview1838897476 81 2/14/2022
1.0.7-preview1838869913 83 2/14/2022
1.0.6 2,727 2/9/2022
1.0.6-preview1838805210 77 2/14/2022
1.0.6-preview1838790927 83 2/14/2022
1.0.6-preview1838781533 80 2/14/2022
1.0.6-preview1838761310 78 2/14/2022
1.0.6-preview1838574327 78 2/14/2022
1.0.6-preview1838238393 74 2/13/2022
1.0.6-preview1837967313 76 2/13/2022
1.0.6-preview1837932839 77 2/13/2022
1.0.6-preview1837857091 80 2/13/2022
1.0.5 1,738 2/9/2022
1.0.4 1,642 2/8/2022
1.0.3 2,045 2/8/2022
1.0.2 1,636 2/8/2022
1.0.1 1,789 11/8/2021
1.0.0-preview-987646120 394 6/30/2021
1.0.0-preview-964642900 256 6/23/2021
1.0.0-preview-964597118 223 6/23/2021
1.0.0-preview-964532207 248 6/23/2021
1.0.0-preview-964414624 225 6/23/2021
1.0.0-preview-962665709 188 6/23/2021
1.0.0-preview-961120541 214 6/22/2021
1.0.0-preview-958984202 230 6/22/2021
1.0.0-preview-783523654 308 4/25/2021
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1.0.0-preview-699281085 224 3/29/2021
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1.0.0-preview-698458610 244 3/29/2021
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1.0.0-preview-690194555 235 3/26/2021
1.0.0-preview-688124591 256 3/25/2021
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1.0.0-preview-681551353 271 3/24/2021
1.0.0-preview-681104545 258 3/23/2021
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1.0.0-preview-679950457 270 3/23/2021
1.0.0-preview-669022451 242 3/19/2021
1.0.0-preview-643151273 232 3/11/2021
1.0.0-preview-633398743 247 3/8/2021
1.0.0-preview-633348953 252 3/8/2021
1.0.0-preview-621803110 226 3/4/2021
1.0.0-preview-611561611 244 3/1/2021
1.0.0-preview-1413494063 240 11/2/2021
1.0.0-preview-1405354284 253 10/31/2021
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1.0.0-preview-1177844564 247 8/28/2021
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1.0.0-preview-1176112166 237 8/28/2021
1.0.0-preview-1172193368 218 8/26/2021
1.0.0-preview-1168287221 236 8/25/2021
1.0.0-preview-1147185155 220 8/19/2021
1.0.0-preview-1133286135 237 8/15/2021
1.0.0-preview-1118120224 246 8/10/2021
1.0.0-preview-1111420036 216 8/9/2021
1.0.0-preview-1111385512 229 8/9/2021
1.0.0-preview-1111166736 194 8/9/2021
1.0.0-preview-1088380884 198 8/1/2021
1.0.0-preview-1088311063 244 8/1/2021
1.0.0-preview-1088021240 281 8/1/2021
1.0.0-preview-1083990424 256 7/31/2021
1.0.0-preview-1080710191 291 7/30/2021
1.0.0-preview-1080701269 289 7/30/2021
1.0.0-preview-1079028054 276 7/29/2021
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1.0.0-preview-1069218438 219 7/26/2021
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1.0.0-preview-1001211231 230 7/5/2021
1.0.0-preview-1001204475 244 7/5/2021