DiffSharp.Backends.Reference 1.0.0-preview-593196134

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There is a newer version of this package available.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-593196134
                    
NuGet\Install-Package DiffSharp.Backends.Reference -Version 1.0.0-preview-593196134
                    
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-593196134" />
                    
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-593196134" />
                    
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-593196134
                    
#r "nuget: DiffSharp.Backends.Reference, 1.0.0-preview-593196134"
                    
#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-593196134
                    
#: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-593196134&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=DiffSharp.Backends.Reference&version=1.0.0-preview-593196134&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 6,087 3/26/2022
1.0.7-preview2044360861 442 3/26/2022
1.0.7-preview1873603133 530 2/21/2022
1.0.7-preview1872895008 470 2/20/2022
1.0.7-preview1872194677 464 2/20/2022
1.0.7-preview1867437105 444 2/19/2022
1.0.7-preview1838897476 493 2/14/2022
1.0.7-preview1838869913 474 2/14/2022
1.0.6 6,695 2/9/2022
1.0.6-preview1838805210 503 2/14/2022
1.0.6-preview1838790927 527 2/14/2022
1.0.6-preview1838781533 528 2/14/2022
1.0.6-preview1838761310 459 2/14/2022
1.0.6-preview1838574327 551 2/14/2022
1.0.6-preview1838238393 495 2/13/2022
1.0.6-preview1837967313 489 2/13/2022
1.0.6-preview1837932839 344 2/13/2022
1.0.6-preview1837857091 362 2/13/2022
1.0.5 3,664 2/9/2022
1.0.4 3,865 2/8/2022
1.0.3 4,945 2/8/2022
1.0.2 4,049 2/8/2022
1.0.1 4,910 11/8/2021
1.0.0-preview-987646120 659 6/30/2021
1.0.0-preview-964642900 632 6/23/2021
1.0.0-preview-964597118 496 6/23/2021
1.0.0-preview-964532207 554 6/23/2021
1.0.0-preview-964414624 541 6/23/2021
1.0.0-preview-962665709 394 6/23/2021
1.0.0-preview-961120541 442 6/22/2021
1.0.0-preview-958984202 505 6/22/2021
1.0.0-preview-783523654 607 4/25/2021
1.0.0-preview-783503343 571 4/25/2021
1.0.0-preview-783410550 551 4/25/2021
1.0.0-preview-781810429 478 4/25/2021
1.0.0-preview-775752139 572 4/22/2021
1.0.0-preview-774228953 542 4/22/2021
1.0.0-preview-769092916 585 4/21/2021
1.0.0-preview-768013090 523 4/20/2021
1.0.0-preview-762002995 501 4/19/2021
1.0.0-preview-761040762 570 4/18/2021
1.0.0-preview-761018834 551 4/18/2021
1.0.0-preview-756065403 480 4/16/2021
1.0.0-preview-755638011 526 4/16/2021
1.0.0-preview-752421465 539 4/15/2021
1.0.0-preview-748176085 532 4/14/2021
1.0.0-preview-746203897 488 4/13/2021
1.0.0-preview-746138300 534 4/13/2021
1.0.0-preview-745205599 503 4/13/2021
1.0.0-preview-739671157 529 4/12/2021
1.0.0-preview-712483117 554 4/2/2021
1.0.0-preview-699281085 481 3/29/2021
1.0.0-preview-699125312 514 3/29/2021
1.0.0-preview-698458610 572 3/29/2021
1.0.0-preview-697743517 590 3/29/2021
1.0.0-preview-697665469 550 3/29/2021
1.0.0-preview-690194555 549 3/26/2021
1.0.0-preview-688124591 518 3/25/2021
1.0.0-preview-687886352 479 3/25/2021
1.0.0-preview-681551353 522 3/24/2021
1.0.0-preview-681104545 531 3/23/2021
1.0.0-preview-680643606 566 3/23/2021
1.0.0-preview-679950457 536 3/23/2021
1.0.0-preview-669022451 362 3/19/2021
1.0.0-preview-643151273 372 3/11/2021
1.0.0-preview-633398743 369 3/8/2021
1.0.0-preview-633348953 409 3/8/2021
1.0.0-preview-621803110 403 3/4/2021
1.0.0-preview-611561611 373 3/1/2021
1.0.0-preview-611172961 369 3/1/2021
1.0.0-preview-593196134 352 2/23/2021
1.0.0-preview-589424126 356 2/22/2021
1.0.0-preview-589402583 339 2/22/2021
1.0.0-preview-586837684 381 2/21/2021
1.0.0-preview-586440747 369 2/21/2021
1.0.0-preview-498549439 409 1/20/2021
1.0.0-preview-485581354 396 1/14/2021
1.0.0-preview-392545720 452 11/30/2020
1.0.0-preview-392233243 452 11/30/2020
1.0.0-preview-392187079 481 11/30/2020
1.0.0-preview-390203270 451 11/29/2020
1.0.0-preview-387146713 441 11/27/2020
1.0.0-preview-386097798 480 11/26/2020
1.0.0-preview-385867359 472 11/26/2020
1.0.0-preview-385523380 411 11/26/2020
1.0.0-preview-384128234 488 11/25/2020
1.0.0-preview-374537774 418 11/20/2020
1.0.0-preview-374468367 425 11/20/2020
1.0.0-preview-368681212 469 11/17/2020
1.0.0-preview-368659044 469 11/17/2020
1.0.0-preview-364746088 515 11/15/2020
1.0.0-preview-364706087 504 11/15/2020
1.0.0-preview-363372268 426 11/14/2020
1.0.0-preview-362038354 446 11/13/2020
1.0.0-preview-362004577 429 11/13/2020
1.0.0-preview-361488593 420 11/13/2020
1.0.0-preview-360710530 420 11/13/2020
1.0.0-preview-359756455 436 11/12/2020
1.0.0-preview-358333968 463 11/11/2020
1.0.0-preview-358184921 456 11/11/2020
1.0.0-preview-358174946 496 11/11/2020
1.0.0-preview-349704450 546 11/6/2020
1.0.0-preview-349564717 482 11/6/2020
1.0.0-preview-343634015 503 11/3/2020
1.0.0-preview-343610434 482 11/3/2020
1.0.0-preview-328097867 701 10/26/2020
1.0.0-preview-322875134 499 10/22/2020
1.0.0-preview-315311536 485 10/19/2020
1.0.0-preview-309180753 474 10/15/2020
1.0.0-preview-309013019 498 10/15/2020
1.0.0-preview-308920132 440 10/15/2020
1.0.0-preview-308837132 474 10/15/2020
1.0.0-preview-308751690 464 10/15/2020
1.0.0-preview-308593840 471 10/15/2020
1.0.0-preview-299173506 547 10/10/2020
1.0.0-preview-292259854 550 10/6/2020
1.0.0-preview-291985511 500 10/6/2020
1.0.0-preview-291903007 469 10/6/2020
1.0.0-preview-291722399 494 10/6/2020
1.0.0-preview-284981464 475 10/2/2020
1.0.0-preview-284595614 420 10/2/2020
1.0.0-preview-280886714 527 9/30/2020
1.0.0-preview-278989673 460 9/29/2020
1.0.0-preview-277686264 478 9/29/2020
1.0.0-preview-277653295 510 9/29/2020
1.0.0-preview-275730148 521 9/28/2020
1.0.0-preview-275727262 490 9/28/2020
1.0.0-preview-267667710 534 9/22/2020
1.0.0-preview-263264614 582 9/20/2020
1.0.0-preview-263250971 602 9/20/2020
1.0.0-preview-262623253 473 9/19/2020
1.0.0-preview-258339834 518 9/16/2020
1.0.0-preview-258210544 553 9/16/2020
1.0.0-preview-258177528 533 9/16/2020
1.0.0-preview-258119380 530 9/16/2020
1.0.0-preview-256594931 506 9/16/2020
1.0.0-preview-256435175 589 9/15/2020
1.0.0-preview-253816091 487 9/14/2020
1.0.0-preview-253197654 488 9/14/2020
1.0.0-preview-247523274 524 9/10/2020
1.0.0-preview-247118168 487 9/9/2020
1.0.0-preview-246444372 588 9/9/2020
1.0.0-preview-246434361 567 9/9/2020
1.0.0-preview-246402060 468 9/9/2020
1.0.0-preview-245105781 470 9/8/2020
1.0.0-preview-244918410 520 9/8/2020
1.0.0-preview-243478925 462 9/7/2020
1.0.0-preview-243471084 443 9/7/2020
1.0.0-preview-243323135 567 9/7/2020
1.0.0-preview-1413494063 533 11/2/2021
1.0.0-preview-1405354284 510 10/31/2021
1.0.0-preview-1338129467 533 10/13/2021
1.0.0-preview-1327345305 638 10/11/2021
1.0.0-preview-1325686991 501 10/10/2021
1.0.0-preview-1324682939 646 10/10/2021
1.0.0-preview-1239345497 587 9/15/2021
1.0.0-preview-1227879651 578 9/13/2021
1.0.0-preview-1227810778 563 9/13/2021
1.0.0-preview-1222163389 536 9/10/2021
1.0.0-preview-1177844564 547 8/28/2021
1.0.0-preview-1176119659 473 8/28/2021
1.0.0-preview-1176116073 519 8/28/2021
1.0.0-preview-1176112166 490 8/28/2021
1.0.0-preview-1172193368 474 8/26/2021
1.0.0-preview-1168287221 479 8/25/2021
1.0.0-preview-1147185155 570 8/19/2021
1.0.0-preview-1133286135 570 8/15/2021
1.0.0-preview-1118120224 585 8/10/2021
1.0.0-preview-1111420036 473 8/9/2021
1.0.0-preview-1111385512 464 8/9/2021
1.0.0-preview-1111166736 494 8/9/2021
1.0.0-preview-1088380884 518 8/1/2021
1.0.0-preview-1088311063 516 8/1/2021
1.0.0-preview-1088021240 624 8/1/2021
1.0.0-preview-1083990424 533 7/31/2021
1.0.0-preview-1080710191 514 7/30/2021
1.0.0-preview-1080701269 541 7/30/2021
1.0.0-preview-1079028054 569 7/29/2021
1.0.0-preview-1079000079 540 7/29/2021
1.0.0-preview-1078977564 594 7/29/2021
1.0.0-preview-1069218438 461 7/26/2021
1.0.0-preview-1065692127 587 7/26/2021
1.0.0-preview-1054554829 527 7/22/2021
1.0.0-preview-1054460177 521 7/22/2021
1.0.0-preview-1044919966 471 7/19/2021
1.0.0-preview-1043697034 450 7/19/2021
1.0.0-preview-1001211231 517 7/5/2021
1.0.0-preview-1001204475 517 7/5/2021
0.9.5-preview-243240046 536 9/7/2020
0.9.5-preview-243219862 523 9/7/2020