DiffSharp.Backends.Reference 1.0.0-preview-586440747

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There is a newer version of this package available.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-586440747
                    
NuGet\Install-Package DiffSharp.Backends.Reference -Version 1.0.0-preview-586440747
                    
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-586440747" />
                    
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-586440747" />
                    
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-586440747
                    
#r "nuget: DiffSharp.Backends.Reference, 1.0.0-preview-586440747"
                    
#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-586440747
                    
#: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-586440747&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=DiffSharp.Backends.Reference&version=1.0.0-preview-586440747&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 (6)

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/

Bristlecone

An F# library for model-fitting model-selection (MFMS) of ecological models to observational data. The library was developed for individual-based plant modelling using tree ring time-series, but can be used for any ecological models.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
1.0.7 6,549 3/26/2022
1.0.7-preview2044360861 586 3/26/2022
1.0.7-preview1873603133 683 2/21/2022
1.0.7-preview1872895008 623 2/20/2022
1.0.7-preview1872194677 611 2/20/2022
1.0.7-preview1867437105 611 2/19/2022
1.0.7-preview1838897476 620 2/14/2022
1.0.7-preview1838869913 613 2/14/2022
1.0.6 6,842 2/9/2022
1.0.6-preview1838805210 634 2/14/2022
1.0.6-preview1838790927 651 2/14/2022
1.0.6-preview1838781533 642 2/14/2022
1.0.6-preview1838761310 634 2/14/2022
1.0.6-preview1838574327 702 2/14/2022
1.0.6-preview1838238393 639 2/13/2022
1.0.6-preview1837967313 627 2/13/2022
1.0.6-preview1837932839 431 2/13/2022
1.0.6-preview1837857091 467 2/13/2022
1.0.5 3,769 2/9/2022
1.0.4 3,961 2/8/2022
1.0.3 5,054 2/8/2022
1.0.2 4,145 2/8/2022
1.0.1 5,016 11/8/2021
1.0.0-preview-987646120 791 6/30/2021
1.0.0-preview-964642900 759 6/23/2021
1.0.0-preview-964597118 604 6/23/2021
1.0.0-preview-964532207 662 6/23/2021
1.0.0-preview-964414624 658 6/23/2021
1.0.0-preview-962665709 499 6/23/2021
1.0.0-preview-961120541 541 6/22/2021
1.0.0-preview-958984202 607 6/22/2021
1.0.0-preview-783523654 704 4/25/2021
1.0.0-preview-783503343 689 4/25/2021
1.0.0-preview-783410550 670 4/25/2021
1.0.0-preview-781810429 613 4/25/2021
1.0.0-preview-775752139 704 4/22/2021
1.0.0-preview-774228953 674 4/22/2021
1.0.0-preview-769092916 688 4/21/2021
1.0.0-preview-768013090 629 4/20/2021
1.0.0-preview-762002995 612 4/19/2021
1.0.0-preview-761040762 692 4/18/2021
1.0.0-preview-761018834 673 4/18/2021
1.0.0-preview-756065403 585 4/16/2021
1.0.0-preview-755638011 638 4/16/2021
1.0.0-preview-752421465 666 4/15/2021
1.0.0-preview-748176085 656 4/14/2021
1.0.0-preview-746203897 607 4/13/2021
1.0.0-preview-746138300 657 4/13/2021
1.0.0-preview-745205599 626 4/13/2021
1.0.0-preview-739671157 638 4/12/2021
1.0.0-preview-712483117 670 4/2/2021
1.0.0-preview-699281085 599 3/29/2021
1.0.0-preview-699125312 660 3/29/2021
1.0.0-preview-698458610 703 3/29/2021
1.0.0-preview-697743517 721 3/29/2021
1.0.0-preview-697665469 660 3/29/2021
1.0.0-preview-690194555 651 3/26/2021
1.0.0-preview-688124591 642 3/25/2021
1.0.0-preview-687886352 613 3/25/2021
1.0.0-preview-681551353 643 3/24/2021
1.0.0-preview-681104545 673 3/23/2021
1.0.0-preview-680643606 704 3/23/2021
1.0.0-preview-679950457 667 3/23/2021
1.0.0-preview-669022451 434 3/19/2021
1.0.0-preview-643151273 462 3/11/2021
1.0.0-preview-633398743 454 3/8/2021
1.0.0-preview-633348953 495 3/8/2021
1.0.0-preview-621803110 489 3/4/2021
1.0.0-preview-611561611 459 3/1/2021
1.0.0-preview-611172961 454 3/1/2021
1.0.0-preview-593196134 436 2/23/2021
1.0.0-preview-589424126 425 2/22/2021
1.0.0-preview-589402583 402 2/22/2021
1.0.0-preview-586837684 454 2/21/2021
1.0.0-preview-586440747 438 2/21/2021
1.0.0-preview-498549439 480 1/20/2021
1.0.0-preview-485581354 485 1/14/2021
1.0.0-preview-392545720 527 11/30/2020
1.0.0-preview-392233243 525 11/30/2020
1.0.0-preview-392187079 573 11/30/2020
1.0.0-preview-390203270 531 11/29/2020
1.0.0-preview-387146713 526 11/27/2020
1.0.0-preview-386097798 568 11/26/2020
1.0.0-preview-385867359 565 11/26/2020
1.0.0-preview-385523380 504 11/26/2020
1.0.0-preview-384128234 562 11/25/2020
1.0.0-preview-374537774 506 11/20/2020
1.0.0-preview-374468367 501 11/20/2020
1.0.0-preview-368681212 547 11/17/2020
1.0.0-preview-368659044 541 11/17/2020
1.0.0-preview-364746088 600 11/15/2020
1.0.0-preview-364706087 592 11/15/2020
1.0.0-preview-363372268 521 11/14/2020
1.0.0-preview-362038354 525 11/13/2020
1.0.0-preview-362004577 520 11/13/2020
1.0.0-preview-361488593 501 11/13/2020
1.0.0-preview-360710530 495 11/13/2020
1.0.0-preview-359756455 523 11/12/2020
1.0.0-preview-358333968 550 11/11/2020
1.0.0-preview-358184921 532 11/11/2020
1.0.0-preview-358174946 575 11/11/2020
1.0.0-preview-349704450 622 11/6/2020
1.0.0-preview-349564717 554 11/6/2020
1.0.0-preview-343634015 593 11/3/2020
1.0.0-preview-343610434 552 11/3/2020
1.0.0-preview-328097867 781 10/26/2020
1.0.0-preview-322875134 591 10/22/2020
1.0.0-preview-315311536 577 10/19/2020
1.0.0-preview-309180753 556 10/15/2020
1.0.0-preview-309013019 576 10/15/2020
1.0.0-preview-308920132 507 10/15/2020
1.0.0-preview-308837132 553 10/15/2020
1.0.0-preview-308751690 547 10/15/2020
1.0.0-preview-308593840 554 10/15/2020
1.0.0-preview-299173506 640 10/10/2020
1.0.0-preview-292259854 626 10/6/2020
1.0.0-preview-291985511 588 10/6/2020
1.0.0-preview-291903007 562 10/6/2020
1.0.0-preview-291722399 554 10/6/2020
1.0.0-preview-284981464 546 10/2/2020
1.0.0-preview-284595614 494 10/2/2020
1.0.0-preview-280886714 609 9/30/2020
1.0.0-preview-278989673 532 9/29/2020
1.0.0-preview-277686264 556 9/29/2020
1.0.0-preview-277653295 581 9/29/2020
1.0.0-preview-275730148 588 9/28/2020
1.0.0-preview-275727262 574 9/28/2020
1.0.0-preview-267667710 628 9/22/2020
1.0.0-preview-263264614 648 9/20/2020
1.0.0-preview-263250971 685 9/20/2020
1.0.0-preview-262623253 554 9/19/2020
1.0.0-preview-258339834 593 9/16/2020
1.0.0-preview-258210544 651 9/16/2020
1.0.0-preview-258177528 604 9/16/2020
1.0.0-preview-258119380 604 9/16/2020
1.0.0-preview-256594931 574 9/16/2020
1.0.0-preview-256435175 684 9/15/2020
1.0.0-preview-253816091 591 9/14/2020
1.0.0-preview-253197654 585 9/14/2020
1.0.0-preview-247523274 608 9/10/2020
1.0.0-preview-247118168 571 9/9/2020
1.0.0-preview-246444372 675 9/9/2020
1.0.0-preview-246434361 646 9/9/2020
1.0.0-preview-246402060 564 9/9/2020
1.0.0-preview-245105781 555 9/8/2020
1.0.0-preview-244918410 609 9/8/2020
1.0.0-preview-243478925 553 9/7/2020
1.0.0-preview-243471084 541 9/7/2020
1.0.0-preview-243323135 658 9/7/2020
1.0.0-preview-1413494063 677 11/2/2021
1.0.0-preview-1405354284 615 10/31/2021
1.0.0-preview-1338129467 661 10/13/2021
1.0.0-preview-1327345305 755 10/11/2021
1.0.0-preview-1325686991 605 10/10/2021
1.0.0-preview-1324682939 768 10/10/2021
1.0.0-preview-1239345497 715 9/15/2021
1.0.0-preview-1227879651 684 9/13/2021
1.0.0-preview-1227810778 685 9/13/2021
1.0.0-preview-1222163389 650 9/10/2021
1.0.0-preview-1177844564 656 8/28/2021
1.0.0-preview-1176119659 587 8/28/2021
1.0.0-preview-1176116073 637 8/28/2021
1.0.0-preview-1176112166 591 8/28/2021
1.0.0-preview-1172193368 592 8/26/2021
1.0.0-preview-1168287221 612 8/25/2021
1.0.0-preview-1147185155 683 8/19/2021
1.0.0-preview-1133286135 693 8/15/2021
1.0.0-preview-1118120224 695 8/10/2021
1.0.0-preview-1111420036 586 8/9/2021
1.0.0-preview-1111385512 581 8/9/2021
1.0.0-preview-1111166736 587 8/9/2021
1.0.0-preview-1088380884 625 8/1/2021
1.0.0-preview-1088311063 632 8/1/2021
1.0.0-preview-1088021240 735 8/1/2021
1.0.0-preview-1083990424 653 7/31/2021
1.0.0-preview-1080710191 632 7/30/2021
1.0.0-preview-1080701269 670 7/30/2021
1.0.0-preview-1079028054 679 7/29/2021
1.0.0-preview-1079000079 653 7/29/2021
1.0.0-preview-1078977564 720 7/29/2021
1.0.0-preview-1069218438 572 7/26/2021
1.0.0-preview-1065692127 697 7/26/2021
1.0.0-preview-1054554829 632 7/22/2021
1.0.0-preview-1054460177 622 7/22/2021
1.0.0-preview-1044919966 616 7/19/2021
1.0.0-preview-1043697034 544 7/19/2021
1.0.0-preview-1001211231 628 7/5/2021
1.0.0-preview-1001204475 648 7/5/2021
0.9.5-preview-243240046 611 9/7/2020
0.9.5-preview-243219862 598 9/7/2020