DiffSharp.Backends.Reference 1.0.0-preview-343634015

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There is a newer version of this package available.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-343634015
                    
NuGet\Install-Package DiffSharp.Backends.Reference -Version 1.0.0-preview-343634015
                    
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-343634015" />
                    
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-343634015" />
                    
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-343634015
                    
#r "nuget: DiffSharp.Backends.Reference, 1.0.0-preview-343634015"
                    
#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.
#addin nuget:?package=DiffSharp.Backends.Reference&version=1.0.0-preview-343634015&prerelease
                    
Install DiffSharp.Backends.Reference as a Cake Addin
#tool nuget:?package=DiffSharp.Backends.Reference&version=1.0.0-preview-343634015&prerelease
                    
Install DiffSharp.Backends.Reference as a Cake Tool

Package Description

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  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. 
.NET Core netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.1 is compatible. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos 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 5,980 3/26/2022
1.0.7-preview2044360861 394 3/26/2022
1.0.7-preview1873603133 481 2/21/2022
1.0.7-preview1872895008 419 2/20/2022
1.0.7-preview1872194677 420 2/20/2022
1.0.7-preview1867437105 394 2/19/2022
1.0.7-preview1838897476 444 2/14/2022
1.0.7-preview1838869913 428 2/14/2022
1.0.6 6,643 2/9/2022
1.0.6-preview1838805210 453 2/14/2022
1.0.6-preview1838790927 482 2/14/2022
1.0.6-preview1838781533 475 2/14/2022
1.0.6-preview1838761310 404 2/14/2022
1.0.6-preview1838574327 505 2/14/2022
1.0.6-preview1838238393 447 2/13/2022
1.0.6-preview1837967313 444 2/13/2022
1.0.6-preview1837932839 297 2/13/2022
1.0.6-preview1837857091 314 2/13/2022
1.0.5 3,611 2/9/2022
1.0.4 3,819 2/8/2022
1.0.3 4,896 2/8/2022
1.0.2 4,006 2/8/2022
1.0.1 4,864 11/8/2021
1.0.0-preview-987646120 612 6/30/2021
1.0.0-preview-964642900 578 6/23/2021
1.0.0-preview-964597118 445 6/23/2021
1.0.0-preview-964532207 504 6/23/2021
1.0.0-preview-964414624 488 6/23/2021
1.0.0-preview-962665709 338 6/23/2021
1.0.0-preview-961120541 390 6/22/2021
1.0.0-preview-958984202 455 6/22/2021
1.0.0-preview-783523654 561 4/25/2021
1.0.0-preview-783503343 516 4/25/2021
1.0.0-preview-783410550 497 4/25/2021
1.0.0-preview-781810429 422 4/25/2021
1.0.0-preview-775752139 515 4/22/2021
1.0.0-preview-774228953 477 4/22/2021
1.0.0-preview-769092916 536 4/21/2021
1.0.0-preview-768013090 468 4/20/2021
1.0.0-preview-762002995 445 4/19/2021
1.0.0-preview-761040762 515 4/18/2021
1.0.0-preview-761018834 504 4/18/2021
1.0.0-preview-756065403 426 4/16/2021
1.0.0-preview-755638011 478 4/16/2021
1.0.0-preview-752421465 480 4/15/2021
1.0.0-preview-748176085 479 4/14/2021
1.0.0-preview-746203897 437 4/13/2021
1.0.0-preview-746138300 480 4/13/2021
1.0.0-preview-745205599 451 4/13/2021
1.0.0-preview-739671157 483 4/12/2021
1.0.0-preview-712483117 510 4/2/2021
1.0.0-preview-699281085 430 3/29/2021
1.0.0-preview-699125312 461 3/29/2021
1.0.0-preview-698458610 516 3/29/2021
1.0.0-preview-697743517 537 3/29/2021
1.0.0-preview-697665469 499 3/29/2021
1.0.0-preview-690194555 498 3/26/2021
1.0.0-preview-688124591 472 3/25/2021
1.0.0-preview-687886352 425 3/25/2021
1.0.0-preview-681551353 466 3/24/2021
1.0.0-preview-681104545 477 3/23/2021
1.0.0-preview-680643606 516 3/23/2021
1.0.0-preview-679950457 486 3/23/2021
1.0.0-preview-669022451 318 3/19/2021
1.0.0-preview-643151273 314 3/11/2021
1.0.0-preview-633398743 312 3/8/2021
1.0.0-preview-633348953 351 3/8/2021
1.0.0-preview-621803110 344 3/4/2021
1.0.0-preview-611561611 312 3/1/2021
1.0.0-preview-611172961 314 3/1/2021
1.0.0-preview-593196134 299 2/23/2021
1.0.0-preview-589424126 308 2/22/2021
1.0.0-preview-589402583 290 2/22/2021
1.0.0-preview-586837684 328 2/21/2021
1.0.0-preview-586440747 322 2/21/2021
1.0.0-preview-498549439 357 1/20/2021
1.0.0-preview-485581354 340 1/14/2021
1.0.0-preview-392545720 403 11/30/2020
1.0.0-preview-392233243 399 11/30/2020
1.0.0-preview-392187079 425 11/30/2020
1.0.0-preview-390203270 403 11/29/2020
1.0.0-preview-387146713 381 11/27/2020
1.0.0-preview-386097798 420 11/26/2020
1.0.0-preview-385867359 408 11/26/2020
1.0.0-preview-385523380 348 11/26/2020
1.0.0-preview-384128234 438 11/25/2020
1.0.0-preview-374537774 363 11/20/2020
1.0.0-preview-374468367 369 11/20/2020
1.0.0-preview-368681212 420 11/17/2020
1.0.0-preview-368659044 416 11/17/2020
1.0.0-preview-364746088 462 11/15/2020
1.0.0-preview-364706087 449 11/15/2020
1.0.0-preview-363372268 373 11/14/2020
1.0.0-preview-362038354 398 11/13/2020
1.0.0-preview-362004577 373 11/13/2020
1.0.0-preview-361488593 369 11/13/2020
1.0.0-preview-360710530 370 11/13/2020
1.0.0-preview-359756455 384 11/12/2020
1.0.0-preview-358333968 410 11/11/2020
1.0.0-preview-358184921 407 11/11/2020
1.0.0-preview-358174946 434 11/11/2020
1.0.0-preview-349704450 498 11/6/2020
1.0.0-preview-349564717 431 11/6/2020
1.0.0-preview-343634015 444 11/3/2020
1.0.0-preview-343610434 433 11/3/2020
1.0.0-preview-328097867 644 10/26/2020
1.0.0-preview-322875134 443 10/22/2020
1.0.0-preview-315311536 434 10/19/2020
1.0.0-preview-309180753 426 10/15/2020
1.0.0-preview-309013019 449 10/15/2020
1.0.0-preview-308920132 391 10/15/2020
1.0.0-preview-308837132 425 10/15/2020
1.0.0-preview-308751690 413 10/15/2020
1.0.0-preview-308593840 418 10/15/2020
1.0.0-preview-299173506 492 10/10/2020
1.0.0-preview-292259854 497 10/6/2020
1.0.0-preview-291985511 445 10/6/2020
1.0.0-preview-291903007 417 10/6/2020
1.0.0-preview-291722399 443 10/6/2020
1.0.0-preview-284981464 424 10/2/2020
1.0.0-preview-284595614 371 10/2/2020
1.0.0-preview-280886714 465 9/30/2020
1.0.0-preview-278989673 408 9/29/2020
1.0.0-preview-277686264 424 9/29/2020
1.0.0-preview-277653295 452 9/29/2020
1.0.0-preview-275730148 472 9/28/2020
1.0.0-preview-275727262 436 9/28/2020
1.0.0-preview-267667710 476 9/22/2020
1.0.0-preview-263264614 533 9/20/2020
1.0.0-preview-263250971 543 9/20/2020
1.0.0-preview-262623253 420 9/19/2020
1.0.0-preview-258339834 469 9/16/2020
1.0.0-preview-258210544 495 9/16/2020
1.0.0-preview-258177528 483 9/16/2020
1.0.0-preview-258119380 482 9/16/2020
1.0.0-preview-256594931 453 9/16/2020
1.0.0-preview-256435175 533 9/15/2020
1.0.0-preview-253816091 425 9/14/2020
1.0.0-preview-253197654 431 9/14/2020
1.0.0-preview-247523274 459 9/10/2020
1.0.0-preview-247118168 427 9/9/2020
1.0.0-preview-246444372 532 9/9/2020
1.0.0-preview-246434361 512 9/9/2020
1.0.0-preview-246402060 411 9/9/2020
1.0.0-preview-245105781 418 9/8/2020
1.0.0-preview-244918410 466 9/8/2020
1.0.0-preview-243478925 405 9/7/2020
1.0.0-preview-243471084 387 9/7/2020
1.0.0-preview-243323135 512 9/7/2020
1.0.0-preview-1413494063 485 11/2/2021
1.0.0-preview-1405354284 457 10/31/2021
1.0.0-preview-1338129467 483 10/13/2021
1.0.0-preview-1327345305 580 10/11/2021
1.0.0-preview-1325686991 457 10/10/2021
1.0.0-preview-1324682939 596 10/10/2021
1.0.0-preview-1239345497 539 9/15/2021
1.0.0-preview-1227879651 520 9/13/2021
1.0.0-preview-1227810778 517 9/13/2021
1.0.0-preview-1222163389 484 9/10/2021
1.0.0-preview-1177844564 505 8/28/2021
1.0.0-preview-1176119659 427 8/28/2021
1.0.0-preview-1176116073 470 8/28/2021
1.0.0-preview-1176112166 444 8/28/2021
1.0.0-preview-1172193368 423 8/26/2021
1.0.0-preview-1168287221 424 8/25/2021
1.0.0-preview-1147185155 517 8/19/2021
1.0.0-preview-1133286135 516 8/15/2021
1.0.0-preview-1118120224 531 8/10/2021
1.0.0-preview-1111420036 428 8/9/2021
1.0.0-preview-1111385512 419 8/9/2021
1.0.0-preview-1111166736 451 8/9/2021
1.0.0-preview-1088380884 476 8/1/2021
1.0.0-preview-1088311063 467 8/1/2021
1.0.0-preview-1088021240 576 8/1/2021
1.0.0-preview-1083990424 483 7/31/2021
1.0.0-preview-1080710191 470 7/30/2021
1.0.0-preview-1080701269 489 7/30/2021
1.0.0-preview-1079028054 526 7/29/2021
1.0.0-preview-1079000079 496 7/29/2021
1.0.0-preview-1078977564 546 7/29/2021
1.0.0-preview-1069218438 408 7/26/2021
1.0.0-preview-1065692127 532 7/26/2021
1.0.0-preview-1054554829 481 7/22/2021
1.0.0-preview-1054460177 478 7/22/2021
1.0.0-preview-1044919966 421 7/19/2021
1.0.0-preview-1043697034 402 7/19/2021
1.0.0-preview-1001211231 461 7/5/2021
1.0.0-preview-1001204475 463 7/5/2021
0.9.5-preview-243240046 483 9/7/2020
0.9.5-preview-243219862 472 9/7/2020