DiffSharp.Backends.Reference 1.0.0-preview-633348953

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There is a newer version of this package available.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-633348953
                    
NuGet\Install-Package DiffSharp.Backends.Reference -Version 1.0.0-preview-633348953
                    
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-633348953" />
                    
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-633348953" />
                    
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-633348953
                    
#r "nuget: DiffSharp.Backends.Reference, 1.0.0-preview-633348953"
                    
#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-633348953
                    
#: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-633348953&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=DiffSharp.Backends.Reference&version=1.0.0-preview-633348953&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 6,542 3/26/2022
1.0.7-preview2044360861 583 3/26/2022
1.0.7-preview1873603133 676 2/21/2022
1.0.7-preview1872895008 614 2/20/2022
1.0.7-preview1872194677 606 2/20/2022
1.0.7-preview1867437105 604 2/19/2022
1.0.7-preview1838897476 613 2/14/2022
1.0.7-preview1838869913 607 2/14/2022
1.0.6 6,837 2/9/2022
1.0.6-preview1838805210 629 2/14/2022
1.0.6-preview1838790927 645 2/14/2022
1.0.6-preview1838781533 637 2/14/2022
1.0.6-preview1838761310 629 2/14/2022
1.0.6-preview1838574327 694 2/14/2022
1.0.6-preview1838238393 633 2/13/2022
1.0.6-preview1837967313 622 2/13/2022
1.0.6-preview1837932839 426 2/13/2022
1.0.6-preview1837857091 462 2/13/2022
1.0.5 3,763 2/9/2022
1.0.4 3,956 2/8/2022
1.0.3 5,049 2/8/2022
1.0.2 4,139 2/8/2022
1.0.1 5,009 11/8/2021
1.0.0-preview-987646120 786 6/30/2021
1.0.0-preview-964642900 752 6/23/2021
1.0.0-preview-964597118 598 6/23/2021
1.0.0-preview-964532207 657 6/23/2021
1.0.0-preview-964414624 653 6/23/2021
1.0.0-preview-962665709 494 6/23/2021
1.0.0-preview-961120541 535 6/22/2021
1.0.0-preview-958984202 602 6/22/2021
1.0.0-preview-783523654 698 4/25/2021
1.0.0-preview-783503343 684 4/25/2021
1.0.0-preview-783410550 662 4/25/2021
1.0.0-preview-781810429 606 4/25/2021
1.0.0-preview-775752139 699 4/22/2021
1.0.0-preview-774228953 669 4/22/2021
1.0.0-preview-769092916 682 4/21/2021
1.0.0-preview-768013090 624 4/20/2021
1.0.0-preview-762002995 607 4/19/2021
1.0.0-preview-761040762 687 4/18/2021
1.0.0-preview-761018834 667 4/18/2021
1.0.0-preview-756065403 579 4/16/2021
1.0.0-preview-755638011 633 4/16/2021
1.0.0-preview-752421465 659 4/15/2021
1.0.0-preview-748176085 651 4/14/2021
1.0.0-preview-746203897 602 4/13/2021
1.0.0-preview-746138300 650 4/13/2021
1.0.0-preview-745205599 620 4/13/2021
1.0.0-preview-739671157 633 4/12/2021
1.0.0-preview-712483117 665 4/2/2021
1.0.0-preview-699281085 594 3/29/2021
1.0.0-preview-699125312 654 3/29/2021
1.0.0-preview-698458610 697 3/29/2021
1.0.0-preview-697743517 716 3/29/2021
1.0.0-preview-697665469 654 3/29/2021
1.0.0-preview-690194555 646 3/26/2021
1.0.0-preview-688124591 634 3/25/2021
1.0.0-preview-687886352 608 3/25/2021
1.0.0-preview-681551353 635 3/24/2021
1.0.0-preview-681104545 665 3/23/2021
1.0.0-preview-680643606 695 3/23/2021
1.0.0-preview-679950457 659 3/23/2021
1.0.0-preview-669022451 427 3/19/2021
1.0.0-preview-643151273 456 3/11/2021
1.0.0-preview-633398743 447 3/8/2021
1.0.0-preview-633348953 487 3/8/2021
1.0.0-preview-621803110 483 3/4/2021
1.0.0-preview-611561611 452 3/1/2021
1.0.0-preview-611172961 447 3/1/2021
1.0.0-preview-593196134 430 2/23/2021
1.0.0-preview-589424126 417 2/22/2021
1.0.0-preview-589402583 393 2/22/2021
1.0.0-preview-586837684 447 2/21/2021
1.0.0-preview-586440747 428 2/21/2021
1.0.0-preview-498549439 474 1/20/2021
1.0.0-preview-485581354 477 1/14/2021
1.0.0-preview-392545720 521 11/30/2020
1.0.0-preview-392233243 518 11/30/2020
1.0.0-preview-392187079 564 11/30/2020
1.0.0-preview-390203270 523 11/29/2020
1.0.0-preview-387146713 520 11/27/2020
1.0.0-preview-386097798 559 11/26/2020
1.0.0-preview-385867359 559 11/26/2020
1.0.0-preview-385523380 493 11/26/2020
1.0.0-preview-384128234 554 11/25/2020
1.0.0-preview-374537774 500 11/20/2020
1.0.0-preview-374468367 492 11/20/2020
1.0.0-preview-368681212 540 11/17/2020
1.0.0-preview-368659044 533 11/17/2020
1.0.0-preview-364746088 594 11/15/2020
1.0.0-preview-364706087 586 11/15/2020
1.0.0-preview-363372268 515 11/14/2020
1.0.0-preview-362038354 518 11/13/2020
1.0.0-preview-362004577 510 11/13/2020
1.0.0-preview-361488593 494 11/13/2020
1.0.0-preview-360710530 489 11/13/2020
1.0.0-preview-359756455 516 11/12/2020
1.0.0-preview-358333968 543 11/11/2020
1.0.0-preview-358184921 526 11/11/2020
1.0.0-preview-358174946 569 11/11/2020
1.0.0-preview-349704450 615 11/6/2020
1.0.0-preview-349564717 546 11/6/2020
1.0.0-preview-343634015 586 11/3/2020
1.0.0-preview-343610434 545 11/3/2020
1.0.0-preview-328097867 774 10/26/2020
1.0.0-preview-322875134 585 10/22/2020
1.0.0-preview-315311536 571 10/19/2020
1.0.0-preview-309180753 550 10/15/2020
1.0.0-preview-309013019 570 10/15/2020
1.0.0-preview-308920132 500 10/15/2020
1.0.0-preview-308837132 544 10/15/2020
1.0.0-preview-308751690 541 10/15/2020
1.0.0-preview-308593840 546 10/15/2020
1.0.0-preview-299173506 634 10/10/2020
1.0.0-preview-292259854 620 10/6/2020
1.0.0-preview-291985511 582 10/6/2020
1.0.0-preview-291903007 556 10/6/2020
1.0.0-preview-291722399 547 10/6/2020
1.0.0-preview-284981464 540 10/2/2020
1.0.0-preview-284595614 488 10/2/2020
1.0.0-preview-280886714 603 9/30/2020
1.0.0-preview-278989673 525 9/29/2020
1.0.0-preview-277686264 551 9/29/2020
1.0.0-preview-277653295 575 9/29/2020
1.0.0-preview-275730148 582 9/28/2020
1.0.0-preview-275727262 568 9/28/2020
1.0.0-preview-267667710 622 9/22/2020
1.0.0-preview-263264614 641 9/20/2020
1.0.0-preview-263250971 678 9/20/2020
1.0.0-preview-262623253 546 9/19/2020
1.0.0-preview-258339834 587 9/16/2020
1.0.0-preview-258210544 643 9/16/2020
1.0.0-preview-258177528 596 9/16/2020
1.0.0-preview-258119380 597 9/16/2020
1.0.0-preview-256594931 568 9/16/2020
1.0.0-preview-256435175 678 9/15/2020
1.0.0-preview-253816091 584 9/14/2020
1.0.0-preview-253197654 576 9/14/2020
1.0.0-preview-247523274 602 9/10/2020
1.0.0-preview-247118168 564 9/9/2020
1.0.0-preview-246444372 669 9/9/2020
1.0.0-preview-246434361 640 9/9/2020
1.0.0-preview-246402060 555 9/9/2020
1.0.0-preview-245105781 548 9/8/2020
1.0.0-preview-244918410 603 9/8/2020
1.0.0-preview-243478925 547 9/7/2020
1.0.0-preview-243471084 534 9/7/2020
1.0.0-preview-243323135 651 9/7/2020
1.0.0-preview-1413494063 672 11/2/2021
1.0.0-preview-1405354284 610 10/31/2021
1.0.0-preview-1338129467 653 10/13/2021
1.0.0-preview-1327345305 749 10/11/2021
1.0.0-preview-1325686991 600 10/10/2021
1.0.0-preview-1324682939 763 10/10/2021
1.0.0-preview-1239345497 708 9/15/2021
1.0.0-preview-1227879651 679 9/13/2021
1.0.0-preview-1227810778 680 9/13/2021
1.0.0-preview-1222163389 645 9/10/2021
1.0.0-preview-1177844564 649 8/28/2021
1.0.0-preview-1176119659 581 8/28/2021
1.0.0-preview-1176116073 631 8/28/2021
1.0.0-preview-1176112166 583 8/28/2021
1.0.0-preview-1172193368 587 8/26/2021
1.0.0-preview-1168287221 607 8/25/2021
1.0.0-preview-1147185155 676 8/19/2021
1.0.0-preview-1133286135 688 8/15/2021
1.0.0-preview-1118120224 690 8/10/2021
1.0.0-preview-1111420036 581 8/9/2021
1.0.0-preview-1111385512 576 8/9/2021
1.0.0-preview-1111166736 582 8/9/2021
1.0.0-preview-1088380884 619 8/1/2021
1.0.0-preview-1088311063 625 8/1/2021
1.0.0-preview-1088021240 729 8/1/2021
1.0.0-preview-1083990424 647 7/31/2021
1.0.0-preview-1080710191 627 7/30/2021
1.0.0-preview-1080701269 664 7/30/2021
1.0.0-preview-1079028054 673 7/29/2021
1.0.0-preview-1079000079 648 7/29/2021
1.0.0-preview-1078977564 715 7/29/2021
1.0.0-preview-1069218438 567 7/26/2021
1.0.0-preview-1065692127 690 7/26/2021
1.0.0-preview-1054554829 626 7/22/2021
1.0.0-preview-1054460177 616 7/22/2021
1.0.0-preview-1044919966 608 7/19/2021
1.0.0-preview-1043697034 538 7/19/2021
1.0.0-preview-1001211231 621 7/5/2021
1.0.0-preview-1001204475 642 7/5/2021
0.9.5-preview-243240046 604 9/7/2020
0.9.5-preview-243219862 592 9/7/2020