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There is a newer version of this package available.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 (7)

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 6,634 3/26/2022
1.0.7-preview2044360861 608 3/26/2022
1.0.7-preview1873603133 701 2/21/2022
1.0.7-preview1872895008 638 2/20/2022
1.0.7-preview1872194677 627 2/20/2022
1.0.7-preview1867437105 630 2/19/2022
1.0.7-preview1838897476 637 2/14/2022
1.0.7-preview1838869913 638 2/14/2022
1.0.6 6,861 2/9/2022
1.0.6-preview1838805210 650 2/14/2022
1.0.6-preview1838790927 674 2/14/2022
1.0.6-preview1838781533 663 2/14/2022
1.0.6-preview1838761310 655 2/14/2022
1.0.6-preview1838574327 720 2/14/2022
1.0.6-preview1838238393 658 2/13/2022
1.0.6-preview1837967313 651 2/13/2022
1.0.6-preview1837932839 453 2/13/2022
1.0.6-preview1837857091 486 2/13/2022
1.0.5 3,792 2/9/2022
1.0.4 3,983 2/8/2022
1.0.3 5,071 2/8/2022
1.0.2 4,171 2/8/2022
1.0.1 5,052 11/8/2021
1.0.0-preview-987646120 811 6/30/2021
1.0.0-preview-964642900 781 6/23/2021
1.0.0-preview-964597118 625 6/23/2021
1.0.0-preview-964532207 676 6/23/2021
1.0.0-preview-964414624 676 6/23/2021
1.0.0-preview-962665709 513 6/23/2021
1.0.0-preview-961120541 556 6/22/2021
1.0.0-preview-958984202 633 6/22/2021
1.0.0-preview-783523654 725 4/25/2021
1.0.0-preview-783503343 708 4/25/2021
1.0.0-preview-783410550 691 4/25/2021
1.0.0-preview-781810429 632 4/25/2021
1.0.0-preview-775752139 725 4/22/2021
1.0.0-preview-774228953 696 4/22/2021
1.0.0-preview-769092916 707 4/21/2021
1.0.0-preview-768013090 645 4/20/2021
1.0.0-preview-762002995 629 4/19/2021
1.0.0-preview-761040762 716 4/18/2021
1.0.0-preview-761018834 691 4/18/2021
1.0.0-preview-756065403 600 4/16/2021
1.0.0-preview-755638011 650 4/16/2021
1.0.0-preview-752421465 684 4/15/2021
1.0.0-preview-748176085 675 4/14/2021
1.0.0-preview-746203897 633 4/13/2021
1.0.0-preview-746138300 673 4/13/2021
1.0.0-preview-745205599 649 4/13/2021
1.0.0-preview-739671157 661 4/12/2021
1.0.0-preview-712483117 692 4/2/2021
1.0.0-preview-699281085 616 3/29/2021
1.0.0-preview-699125312 679 3/29/2021
1.0.0-preview-698458610 724 3/29/2021
1.0.0-preview-697743517 739 3/29/2021
1.0.0-preview-697665469 677 3/29/2021
1.0.0-preview-690194555 669 3/26/2021
1.0.0-preview-688124591 669 3/25/2021
1.0.0-preview-687886352 630 3/25/2021
1.0.0-preview-681551353 665 3/24/2021
1.0.0-preview-681104545 693 3/23/2021
1.0.0-preview-680643606 724 3/23/2021
1.0.0-preview-679950457 685 3/23/2021
1.0.0-preview-669022451 454 3/19/2021
1.0.0-preview-643151273 475 3/11/2021
1.0.0-preview-633398743 470 3/8/2021
1.0.0-preview-633348953 517 3/8/2021
1.0.0-preview-621803110 507 3/4/2021
1.0.0-preview-611561611 477 3/1/2021
1.0.0-preview-611172961 480 3/1/2021
1.0.0-preview-593196134 457 2/23/2021
1.0.0-preview-589424126 445 2/22/2021
1.0.0-preview-589402583 424 2/22/2021
1.0.0-preview-586837684 475 2/21/2021
1.0.0-preview-586440747 460 2/21/2021
1.0.0-preview-498549439 502 1/20/2021
1.0.0-preview-485581354 511 1/14/2021
1.0.0-preview-392545720 548 11/30/2020
1.0.0-preview-392233243 540 11/30/2020
1.0.0-preview-392187079 598 11/30/2020
1.0.0-preview-390203270 552 11/29/2020
1.0.0-preview-387146713 551 11/27/2020
1.0.0-preview-386097798 586 11/26/2020
1.0.0-preview-385867359 585 11/26/2020
1.0.0-preview-385523380 527 11/26/2020
1.0.0-preview-384128234 586 11/25/2020
1.0.0-preview-374537774 525 11/20/2020
1.0.0-preview-374468367 520 11/20/2020
1.0.0-preview-368681212 575 11/17/2020
1.0.0-preview-368659044 564 11/17/2020
1.0.0-preview-364746088 622 11/15/2020
1.0.0-preview-364706087 618 11/15/2020
1.0.0-preview-363372268 549 11/14/2020
1.0.0-preview-362038354 549 11/13/2020
1.0.0-preview-362004577 545 11/13/2020
1.0.0-preview-361488593 522 11/13/2020
1.0.0-preview-360710530 517 11/13/2020
1.0.0-preview-359756455 544 11/12/2020
1.0.0-preview-358333968 571 11/11/2020
1.0.0-preview-358184921 554 11/11/2020
1.0.0-preview-358174946 595 11/11/2020
1.0.0-preview-349704450 648 11/6/2020
1.0.0-preview-349564717 574 11/6/2020
1.0.0-preview-343634015 618 11/3/2020
1.0.0-preview-343610434 579 11/3/2020
1.0.0-preview-328097867 808 10/26/2020
1.0.0-preview-322875134 612 10/22/2020
1.0.0-preview-315311536 598 10/19/2020
1.0.0-preview-309180753 577 10/15/2020
1.0.0-preview-309013019 603 10/15/2020
1.0.0-preview-308920132 526 10/15/2020
1.0.0-preview-308837132 579 10/15/2020
1.0.0-preview-308751690 569 10/15/2020
1.0.0-preview-308593840 580 10/15/2020
1.0.0-preview-299173506 672 10/10/2020
1.0.0-preview-292259854 648 10/6/2020
1.0.0-preview-291985511 615 10/6/2020
1.0.0-preview-291903007 587 10/6/2020
1.0.0-preview-291722399 579 10/6/2020
1.0.0-preview-284981464 568 10/2/2020
1.0.0-preview-284595614 511 10/2/2020
1.0.0-preview-280886714 634 9/30/2020
1.0.0-preview-278989673 553 9/29/2020
1.0.0-preview-277686264 575 9/29/2020
1.0.0-preview-277653295 607 9/29/2020
1.0.0-preview-275730148 616 9/28/2020
1.0.0-preview-275727262 597 9/28/2020
1.0.0-preview-267667710 650 9/22/2020
1.0.0-preview-263264614 676 9/20/2020
1.0.0-preview-263250971 703 9/20/2020
1.0.0-preview-262623253 578 9/19/2020
1.0.0-preview-258339834 614 9/16/2020
1.0.0-preview-258210544 673 9/16/2020
1.0.0-preview-258177528 626 9/16/2020
1.0.0-preview-258119380 628 9/16/2020
1.0.0-preview-256594931 596 9/16/2020
1.0.0-preview-256435175 704 9/15/2020
1.0.0-preview-253816091 611 9/14/2020
1.0.0-preview-253197654 607 9/14/2020
1.0.0-preview-247523274 631 9/10/2020
1.0.0-preview-247118168 591 9/9/2020
1.0.0-preview-246444372 698 9/9/2020
1.0.0-preview-246434361 672 9/9/2020
1.0.0-preview-246402060 590 9/9/2020
1.0.0-preview-245105781 578 9/8/2020
1.0.0-preview-244918410 629 9/8/2020
1.0.0-preview-243478925 571 9/7/2020
1.0.0-preview-243471084 567 9/7/2020
1.0.0-preview-243323135 681 9/7/2020
1.0.0-preview-1413494063 696 11/2/2021
1.0.0-preview-1405354284 636 10/31/2021
1.0.0-preview-1338129467 682 10/13/2021
1.0.0-preview-1327345305 772 10/11/2021
1.0.0-preview-1325686991 624 10/10/2021
1.0.0-preview-1324682939 784 10/10/2021
1.0.0-preview-1239345497 733 9/15/2021
1.0.0-preview-1227879651 702 9/13/2021
1.0.0-preview-1227810778 708 9/13/2021
1.0.0-preview-1222163389 670 9/10/2021
1.0.0-preview-1177844564 671 8/28/2021
1.0.0-preview-1176119659 607 8/28/2021
1.0.0-preview-1176116073 654 8/28/2021
1.0.0-preview-1176112166 618 8/28/2021
1.0.0-preview-1172193368 611 8/26/2021
1.0.0-preview-1168287221 634 8/25/2021
1.0.0-preview-1147185155 708 8/19/2021
1.0.0-preview-1133286135 710 8/15/2021
1.0.0-preview-1118120224 711 8/10/2021
1.0.0-preview-1111420036 609 8/9/2021
1.0.0-preview-1111385512 599 8/9/2021
1.0.0-preview-1111166736 610 8/9/2021
1.0.0-preview-1088380884 642 8/1/2021
1.0.0-preview-1088311063 649 8/1/2021
1.0.0-preview-1088021240 757 8/1/2021
1.0.0-preview-1083990424 673 7/31/2021
1.0.0-preview-1080710191 650 7/30/2021
1.0.0-preview-1080701269 692 7/30/2021
1.0.0-preview-1079028054 704 7/29/2021
1.0.0-preview-1079000079 679 7/29/2021
1.0.0-preview-1078977564 743 7/29/2021
1.0.0-preview-1069218438 598 7/26/2021
1.0.0-preview-1065692127 714 7/26/2021
1.0.0-preview-1054554829 651 7/22/2021
1.0.0-preview-1054460177 640 7/22/2021
1.0.0-preview-1044919966 634 7/19/2021
1.0.0-preview-1043697034 564 7/19/2021
1.0.0-preview-1001211231 649 7/5/2021
1.0.0-preview-1001204475 670 7/5/2021
0.9.5-preview-243240046 639 9/7/2020
0.9.5-preview-243219862 619 9/7/2020