DiffSharp.Backends.Reference 1.0.0-preview-589424126

This is a prerelease version of DiffSharp.Backends.Reference.
There is a newer version of this package available.
See the version list below for details.
dotnet add package DiffSharp.Backends.Reference --version 1.0.0-preview-589424126
                    
NuGet\Install-Package DiffSharp.Backends.Reference -Version 1.0.0-preview-589424126
                    
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.Backends.Reference" Version="1.0.0-preview-589424126" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="DiffSharp.Backends.Reference" Version="1.0.0-preview-589424126" />
                    
Directory.Packages.props
<PackageReference Include="DiffSharp.Backends.Reference" />
                    
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.Backends.Reference --version 1.0.0-preview-589424126
                    
#r "nuget: DiffSharp.Backends.Reference, 1.0.0-preview-589424126"
                    
#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.Backends.Reference@1.0.0-preview-589424126
                    
#: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.Backends.Reference&version=1.0.0-preview-589424126&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=DiffSharp.Backends.Reference&version=1.0.0-preview-589424126&prerelease
                    
Install as a Cake Tool

Package Description

Product Compatible and additional computed target framework versions.
.NET net5.0 is compatible.  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. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (5)

Showing the top 5 NuGet packages that depend on DiffSharp.Backends.Reference:

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/

FAkka.Mathnet.Symbolic.withTensorSupported

Package Description

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
1.0.7 6,218 3/26/2022
1.0.7-preview2044360861 503 3/26/2022
1.0.7-preview1873603133 595 2/21/2022
1.0.7-preview1872895008 531 2/20/2022
1.0.7-preview1872194677 526 2/20/2022
1.0.7-preview1867437105 510 2/19/2022
1.0.7-preview1838897476 539 2/14/2022
1.0.7-preview1838869913 532 2/14/2022
1.0.6 6,741 2/9/2022
1.0.6-preview1838805210 552 2/14/2022
1.0.6-preview1838790927 584 2/14/2022
1.0.6-preview1838781533 560 2/14/2022
1.0.6-preview1838761310 543 2/14/2022
1.0.6-preview1838574327 606 2/14/2022
1.0.6-preview1838238393 539 2/13/2022
1.0.6-preview1837967313 546 2/13/2022
1.0.6-preview1837932839 375 2/13/2022
1.0.6-preview1837857091 396 2/13/2022
1.0.5 3,700 2/9/2022
1.0.4 3,900 2/8/2022
1.0.3 4,983 2/8/2022
1.0.2 4,080 2/8/2022
1.0.1 4,942 11/8/2021
1.0.0-preview-987646120 705 6/30/2021
1.0.0-preview-964642900 680 6/23/2021
1.0.0-preview-964597118 524 6/23/2021
1.0.0-preview-964532207 584 6/23/2021
1.0.0-preview-964414624 576 6/23/2021
1.0.0-preview-962665709 424 6/23/2021
1.0.0-preview-961120541 473 6/22/2021
1.0.0-preview-958984202 538 6/22/2021
1.0.0-preview-783523654 640 4/25/2021
1.0.0-preview-783503343 606 4/25/2021
1.0.0-preview-783410550 586 4/25/2021
1.0.0-preview-781810429 513 4/25/2021
1.0.0-preview-775752139 625 4/22/2021
1.0.0-preview-774228953 588 4/22/2021
1.0.0-preview-769092916 617 4/21/2021
1.0.0-preview-768013090 557 4/20/2021
1.0.0-preview-762002995 541 4/19/2021
1.0.0-preview-761040762 613 4/18/2021
1.0.0-preview-761018834 583 4/18/2021
1.0.0-preview-756065403 512 4/16/2021
1.0.0-preview-755638011 564 4/16/2021
1.0.0-preview-752421465 583 4/15/2021
1.0.0-preview-748176085 576 4/14/2021
1.0.0-preview-746203897 513 4/13/2021
1.0.0-preview-746138300 570 4/13/2021
1.0.0-preview-745205599 549 4/13/2021
1.0.0-preview-739671157 566 4/12/2021
1.0.0-preview-712483117 598 4/2/2021
1.0.0-preview-699281085 521 3/29/2021
1.0.0-preview-699125312 556 3/29/2021
1.0.0-preview-698458610 623 3/29/2021
1.0.0-preview-697743517 644 3/29/2021
1.0.0-preview-697665469 587 3/29/2021
1.0.0-preview-690194555 574 3/26/2021
1.0.0-preview-688124591 554 3/25/2021
1.0.0-preview-687886352 523 3/25/2021
1.0.0-preview-681551353 560 3/24/2021
1.0.0-preview-681104545 577 3/23/2021
1.0.0-preview-680643606 611 3/23/2021
1.0.0-preview-679950457 583 3/23/2021
1.0.0-preview-669022451 379 3/19/2021
1.0.0-preview-643151273 394 3/11/2021
1.0.0-preview-633398743 393 3/8/2021
1.0.0-preview-633348953 430 3/8/2021
1.0.0-preview-621803110 425 3/4/2021
1.0.0-preview-611561611 394 3/1/2021
1.0.0-preview-611172961 395 3/1/2021
1.0.0-preview-593196134 371 2/23/2021
1.0.0-preview-589424126 373 2/22/2021
1.0.0-preview-589402583 356 2/22/2021
1.0.0-preview-586837684 400 2/21/2021
1.0.0-preview-586440747 386 2/21/2021
1.0.0-preview-498549439 434 1/20/2021
1.0.0-preview-485581354 415 1/14/2021
1.0.0-preview-392545720 469 11/30/2020
1.0.0-preview-392233243 465 11/30/2020
1.0.0-preview-392187079 502 11/30/2020
1.0.0-preview-390203270 468 11/29/2020
1.0.0-preview-387146713 450 11/27/2020
1.0.0-preview-386097798 503 11/26/2020
1.0.0-preview-385867359 495 11/26/2020
1.0.0-preview-385523380 421 11/26/2020
1.0.0-preview-384128234 505 11/25/2020
1.0.0-preview-374537774 438 11/20/2020
1.0.0-preview-374468367 448 11/20/2020
1.0.0-preview-368681212 486 11/17/2020
1.0.0-preview-368659044 475 11/17/2020
1.0.0-preview-364746088 533 11/15/2020
1.0.0-preview-364706087 529 11/15/2020
1.0.0-preview-363372268 436 11/14/2020
1.0.0-preview-362038354 463 11/13/2020
1.0.0-preview-362004577 442 11/13/2020
1.0.0-preview-361488593 437 11/13/2020
1.0.0-preview-360710530 437 11/13/2020
1.0.0-preview-359756455 456 11/12/2020
1.0.0-preview-358333968 483 11/11/2020
1.0.0-preview-358184921 473 11/11/2020
1.0.0-preview-358174946 517 11/11/2020
1.0.0-preview-349704450 563 11/6/2020
1.0.0-preview-349564717 499 11/6/2020
1.0.0-preview-343634015 525 11/3/2020
1.0.0-preview-343610434 499 11/3/2020
1.0.0-preview-328097867 719 10/26/2020
1.0.0-preview-322875134 520 10/22/2020
1.0.0-preview-315311536 508 10/19/2020
1.0.0-preview-309180753 481 10/15/2020
1.0.0-preview-309013019 516 10/15/2020
1.0.0-preview-308920132 457 10/15/2020
1.0.0-preview-308837132 492 10/15/2020
1.0.0-preview-308751690 486 10/15/2020
1.0.0-preview-308593840 484 10/15/2020
1.0.0-preview-299173506 572 10/10/2020
1.0.0-preview-292259854 567 10/6/2020
1.0.0-preview-291985511 524 10/6/2020
1.0.0-preview-291903007 489 10/6/2020
1.0.0-preview-291722399 512 10/6/2020
1.0.0-preview-284981464 492 10/2/2020
1.0.0-preview-284595614 438 10/2/2020
1.0.0-preview-280886714 551 9/30/2020
1.0.0-preview-278989673 467 9/29/2020
1.0.0-preview-277686264 499 9/29/2020
1.0.0-preview-277653295 531 9/29/2020
1.0.0-preview-275730148 527 9/28/2020
1.0.0-preview-275727262 497 9/28/2020
1.0.0-preview-267667710 544 9/22/2020
1.0.0-preview-263264614 599 9/20/2020
1.0.0-preview-263250971 621 9/20/2020
1.0.0-preview-262623253 494 9/19/2020
1.0.0-preview-258339834 524 9/16/2020
1.0.0-preview-258210544 566 9/16/2020
1.0.0-preview-258177528 550 9/16/2020
1.0.0-preview-258119380 536 9/16/2020
1.0.0-preview-256594931 523 9/16/2020
1.0.0-preview-256435175 599 9/15/2020
1.0.0-preview-253816091 499 9/14/2020
1.0.0-preview-253197654 499 9/14/2020
1.0.0-preview-247523274 547 9/10/2020
1.0.0-preview-247118168 510 9/9/2020
1.0.0-preview-246444372 602 9/9/2020
1.0.0-preview-246434361 587 9/9/2020
1.0.0-preview-246402060 476 9/9/2020
1.0.0-preview-245105781 494 9/8/2020
1.0.0-preview-244918410 542 9/8/2020
1.0.0-preview-243478925 474 9/7/2020
1.0.0-preview-243471084 459 9/7/2020
1.0.0-preview-243323135 588 9/7/2020
1.0.0-preview-1413494063 588 11/2/2021
1.0.0-preview-1405354284 551 10/31/2021
1.0.0-preview-1338129467 566 10/13/2021
1.0.0-preview-1327345305 677 10/11/2021
1.0.0-preview-1325686991 526 10/10/2021
1.0.0-preview-1324682939 678 10/10/2021
1.0.0-preview-1239345497 623 9/15/2021
1.0.0-preview-1227879651 605 9/13/2021
1.0.0-preview-1227810778 609 9/13/2021
1.0.0-preview-1222163389 572 9/10/2021
1.0.0-preview-1177844564 581 8/28/2021
1.0.0-preview-1176119659 516 8/28/2021
1.0.0-preview-1176116073 550 8/28/2021
1.0.0-preview-1176112166 515 8/28/2021
1.0.0-preview-1172193368 510 8/26/2021
1.0.0-preview-1168287221 514 8/25/2021
1.0.0-preview-1147185155 609 8/19/2021
1.0.0-preview-1133286135 603 8/15/2021
1.0.0-preview-1118120224 626 8/10/2021
1.0.0-preview-1111420036 501 8/9/2021
1.0.0-preview-1111385512 506 8/9/2021
1.0.0-preview-1111166736 519 8/9/2021
1.0.0-preview-1088380884 555 8/1/2021
1.0.0-preview-1088311063 559 8/1/2021
1.0.0-preview-1088021240 657 8/1/2021
1.0.0-preview-1083990424 575 7/31/2021
1.0.0-preview-1080710191 556 7/30/2021
1.0.0-preview-1080701269 588 7/30/2021
1.0.0-preview-1079028054 601 7/29/2021
1.0.0-preview-1079000079 579 7/29/2021
1.0.0-preview-1078977564 639 7/29/2021
1.0.0-preview-1069218438 507 7/26/2021
1.0.0-preview-1065692127 627 7/26/2021
1.0.0-preview-1054554829 567 7/22/2021
1.0.0-preview-1054460177 561 7/22/2021
1.0.0-preview-1044919966 536 7/19/2021
1.0.0-preview-1043697034 493 7/19/2021
1.0.0-preview-1001211231 554 7/5/2021
1.0.0-preview-1001204475 562 7/5/2021
0.9.5-preview-243240046 556 9/7/2020
0.9.5-preview-243219862 547 9/7/2020