DiffSharp.Data 1.0.0-preview-1111166736

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There is a newer version of this package available.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-1111166736
                    
NuGet\Install-Package DiffSharp.Data -Version 1.0.0-preview-1111166736
                    
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-1111166736" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="DiffSharp.Data" Version="1.0.0-preview-1111166736" />
                    
Directory.Packages.props
<PackageReference Include="DiffSharp.Data" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add DiffSharp.Data --version 1.0.0-preview-1111166736
                    
#r "nuget: DiffSharp.Data, 1.0.0-preview-1111166736"
                    
#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.
#:package DiffSharp.Data@1.0.0-preview-1111166736
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=DiffSharp.Data&version=1.0.0-preview-1111166736&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=DiffSharp.Data&version=1.0.0-preview-1111166736&prerelease
                    
Install as a Cake Tool

Package Description

Product 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. 
Compatible target framework(s)
Included target framework(s) (in package)
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 5,909 3/26/2022
1.0.7-preview2044360861 419 3/26/2022
1.0.7-preview1873603133 489 2/21/2022
1.0.7-preview1872895008 467 2/20/2022
1.0.7-preview1872194677 446 2/20/2022
1.0.7-preview1867437105 440 2/19/2022
1.0.7-preview1838897476 481 2/14/2022
1.0.7-preview1838869913 472 2/14/2022
1.0.6 6,639 2/9/2022
1.0.6-preview1838805210 473 2/14/2022
1.0.6-preview1838790927 512 2/14/2022
1.0.6-preview1838781533 487 2/14/2022
1.0.6-preview1838761310 460 2/14/2022
1.0.6-preview1838574327 526 2/14/2022
1.0.6-preview1838238393 485 2/13/2022
1.0.6-preview1837967313 496 2/13/2022
1.0.6-preview1837932839 323 2/13/2022
1.0.6-preview1837857091 355 2/13/2022
1.0.5 3,613 2/9/2022
1.0.4 3,834 2/8/2022
1.0.3 4,885 2/8/2022
1.0.2 4,016 2/8/2022
1.0.1 4,848 11/8/2021
1.0.0-preview-987646120 645 6/30/2021
1.0.0-preview-964642900 596 6/23/2021
1.0.0-preview-964597118 466 6/23/2021
1.0.0-preview-964532207 527 6/23/2021
1.0.0-preview-964414624 514 6/23/2021
1.0.0-preview-962665709 384 6/23/2021
1.0.0-preview-961120541 427 6/22/2021
1.0.0-preview-958984202 477 6/22/2021
1.0.0-preview-783523654 594 4/25/2021
1.0.0-preview-783503343 519 4/25/2021
1.0.0-preview-783410550 523 4/25/2021
1.0.0-preview-781810429 440 4/25/2021
1.0.0-preview-775752139 544 4/22/2021
1.0.0-preview-774228953 528 4/22/2021
1.0.0-preview-769092916 544 4/21/2021
1.0.0-preview-768013090 508 4/20/2021
1.0.0-preview-762002995 487 4/19/2021
1.0.0-preview-761040762 536 4/18/2021
1.0.0-preview-761018834 544 4/18/2021
1.0.0-preview-756065403 460 4/16/2021
1.0.0-preview-755638011 489 4/16/2021
1.0.0-preview-752421465 534 4/15/2021
1.0.0-preview-748176085 525 4/14/2021
1.0.0-preview-746203897 483 4/13/2021
1.0.0-preview-746138300 509 4/13/2021
1.0.0-preview-745205599 470 4/13/2021
1.0.0-preview-739671157 480 4/12/2021
1.0.0-preview-712483117 517 4/2/2021
1.0.0-preview-699281085 436 3/29/2021
1.0.0-preview-699125312 503 3/29/2021
1.0.0-preview-698458610 553 3/29/2021
1.0.0-preview-697743517 555 3/29/2021
1.0.0-preview-697665469 517 3/29/2021
1.0.0-preview-690194555 508 3/26/2021
1.0.0-preview-688124591 456 3/25/2021
1.0.0-preview-687886352 488 3/25/2021
1.0.0-preview-681551353 498 3/24/2021
1.0.0-preview-681104545 493 3/23/2021
1.0.0-preview-680643606 546 3/23/2021
1.0.0-preview-679950457 505 3/23/2021
1.0.0-preview-669022451 502 3/19/2021
1.0.0-preview-643151273 481 3/11/2021
1.0.0-preview-633398743 497 3/8/2021
1.0.0-preview-633348953 484 3/8/2021
1.0.0-preview-621803110 543 3/4/2021
1.0.0-preview-611561611 552 3/1/2021
1.0.0-preview-1413494063 520 11/2/2021
1.0.0-preview-1405354284 477 10/31/2021
1.0.0-preview-1338129467 493 10/13/2021
1.0.0-preview-1327345305 604 10/11/2021
1.0.0-preview-1325686991 491 10/10/2021
1.0.0-preview-1324682939 632 10/10/2021
1.0.0-preview-1239345497 554 9/15/2021
1.0.0-preview-1227879651 534 9/13/2021
1.0.0-preview-1227810778 556 9/13/2021
1.0.0-preview-1222163389 523 9/10/2021
1.0.0-preview-1177844564 522 8/28/2021
1.0.0-preview-1176119659 454 8/28/2021
1.0.0-preview-1176116073 456 8/28/2021
1.0.0-preview-1176112166 441 8/28/2021
1.0.0-preview-1172193368 462 8/26/2021
1.0.0-preview-1168287221 501 8/25/2021
1.0.0-preview-1147185155 529 8/19/2021
1.0.0-preview-1133286135 570 8/15/2021
1.0.0-preview-1118120224 550 8/10/2021
1.0.0-preview-1111420036 459 8/9/2021
1.0.0-preview-1111385512 434 8/9/2021
1.0.0-preview-1111166736 466 8/9/2021
1.0.0-preview-1088380884 494 8/1/2021
1.0.0-preview-1088311063 530 8/1/2021
1.0.0-preview-1088021240 566 8/1/2021
1.0.0-preview-1083990424 508 7/31/2021
1.0.0-preview-1080710191 512 7/30/2021
1.0.0-preview-1080701269 513 7/30/2021
1.0.0-preview-1079028054 546 7/29/2021
1.0.0-preview-1079000079 528 7/29/2021
1.0.0-preview-1078977564 565 7/29/2021
1.0.0-preview-1069218438 448 7/26/2021
1.0.0-preview-1065692127 547 7/26/2021
1.0.0-preview-1054554829 491 7/22/2021
1.0.0-preview-1054460177 528 7/22/2021
1.0.0-preview-1044919966 472 7/19/2021
1.0.0-preview-1043697034 424 7/19/2021
1.0.0-preview-1001211231 516 7/5/2021
1.0.0-preview-1001204475 488 7/5/2021