DiffSharp.Backends.Reference 1.0.0-preview-349564717

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There is a newer version of this package available.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-349564717
                    
NuGet\Install-Package DiffSharp.Backends.Reference -Version 1.0.0-preview-349564717
                    
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-349564717" />
                    
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-349564717" />
                    
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-349564717
                    
#r "nuget: DiffSharp.Backends.Reference, 1.0.0-preview-349564717"
                    
#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-349564717&prerelease
                    
Install DiffSharp.Backends.Reference as a Cake Addin
#tool nuget:?package=DiffSharp.Backends.Reference&version=1.0.0-preview-349564717&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. 
.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 5,928 3/26/2022
1.0.7-preview2044360861 383 3/26/2022
1.0.7-preview1873603133 468 2/21/2022
1.0.7-preview1872895008 407 2/20/2022
1.0.7-preview1872194677 408 2/20/2022
1.0.7-preview1867437105 381 2/19/2022
1.0.7-preview1838897476 430 2/14/2022
1.0.7-preview1838869913 415 2/14/2022
1.0.6 6,629 2/9/2022
1.0.6-preview1838805210 439 2/14/2022
1.0.6-preview1838790927 468 2/14/2022
1.0.6-preview1838781533 462 2/14/2022
1.0.6-preview1838761310 390 2/14/2022
1.0.6-preview1838574327 492 2/14/2022
1.0.6-preview1838238393 434 2/13/2022
1.0.6-preview1837967313 430 2/13/2022
1.0.6-preview1837932839 284 2/13/2022
1.0.6-preview1837857091 300 2/13/2022
1.0.5 3,596 2/9/2022
1.0.4 3,805 2/8/2022
1.0.3 4,882 2/8/2022
1.0.2 3,992 2/8/2022
1.0.1 4,849 11/8/2021
1.0.0-preview-987646120 597 6/30/2021
1.0.0-preview-964642900 564 6/23/2021
1.0.0-preview-964597118 430 6/23/2021
1.0.0-preview-964532207 490 6/23/2021
1.0.0-preview-964414624 474 6/23/2021
1.0.0-preview-962665709 324 6/23/2021
1.0.0-preview-961120541 376 6/22/2021
1.0.0-preview-958984202 441 6/22/2021
1.0.0-preview-783523654 545 4/25/2021
1.0.0-preview-783503343 500 4/25/2021
1.0.0-preview-783410550 481 4/25/2021
1.0.0-preview-781810429 406 4/25/2021
1.0.0-preview-775752139 499 4/22/2021
1.0.0-preview-774228953 461 4/22/2021
1.0.0-preview-769092916 521 4/21/2021
1.0.0-preview-768013090 452 4/20/2021
1.0.0-preview-762002995 430 4/19/2021
1.0.0-preview-761040762 500 4/18/2021
1.0.0-preview-761018834 489 4/18/2021
1.0.0-preview-756065403 411 4/16/2021
1.0.0-preview-755638011 462 4/16/2021
1.0.0-preview-752421465 460 4/15/2021
1.0.0-preview-748176085 464 4/14/2021
1.0.0-preview-746203897 422 4/13/2021
1.0.0-preview-746138300 465 4/13/2021
1.0.0-preview-745205599 436 4/13/2021
1.0.0-preview-739671157 467 4/12/2021
1.0.0-preview-712483117 494 4/2/2021
1.0.0-preview-699281085 415 3/29/2021
1.0.0-preview-699125312 446 3/29/2021
1.0.0-preview-698458610 501 3/29/2021
1.0.0-preview-697743517 521 3/29/2021
1.0.0-preview-697665469 484 3/29/2021
1.0.0-preview-690194555 482 3/26/2021
1.0.0-preview-688124591 457 3/25/2021
1.0.0-preview-687886352 409 3/25/2021
1.0.0-preview-681551353 451 3/24/2021
1.0.0-preview-681104545 462 3/23/2021
1.0.0-preview-680643606 501 3/23/2021
1.0.0-preview-679950457 470 3/23/2021
1.0.0-preview-669022451 302 3/19/2021
1.0.0-preview-643151273 299 3/11/2021
1.0.0-preview-633398743 297 3/8/2021
1.0.0-preview-633348953 336 3/8/2021
1.0.0-preview-621803110 329 3/4/2021
1.0.0-preview-611561611 296 3/1/2021
1.0.0-preview-611172961 297 3/1/2021
1.0.0-preview-593196134 284 2/23/2021
1.0.0-preview-589424126 293 2/22/2021
1.0.0-preview-589402583 275 2/22/2021
1.0.0-preview-586837684 312 2/21/2021
1.0.0-preview-586440747 307 2/21/2021
1.0.0-preview-498549439 340 1/20/2021
1.0.0-preview-485581354 324 1/14/2021
1.0.0-preview-392545720 386 11/30/2020
1.0.0-preview-392233243 382 11/30/2020
1.0.0-preview-392187079 408 11/30/2020
1.0.0-preview-390203270 386 11/29/2020
1.0.0-preview-387146713 364 11/27/2020
1.0.0-preview-386097798 403 11/26/2020
1.0.0-preview-385867359 390 11/26/2020
1.0.0-preview-385523380 331 11/26/2020
1.0.0-preview-384128234 421 11/25/2020
1.0.0-preview-374537774 346 11/20/2020
1.0.0-preview-374468367 352 11/20/2020
1.0.0-preview-368681212 403 11/17/2020
1.0.0-preview-368659044 399 11/17/2020
1.0.0-preview-364746088 444 11/15/2020
1.0.0-preview-364706087 432 11/15/2020
1.0.0-preview-363372268 356 11/14/2020
1.0.0-preview-362038354 381 11/13/2020
1.0.0-preview-362004577 355 11/13/2020
1.0.0-preview-361488593 352 11/13/2020
1.0.0-preview-360710530 353 11/13/2020
1.0.0-preview-359756455 366 11/12/2020
1.0.0-preview-358333968 393 11/11/2020
1.0.0-preview-358184921 390 11/11/2020
1.0.0-preview-358174946 417 11/11/2020
1.0.0-preview-349704450 480 11/6/2020
1.0.0-preview-349564717 414 11/6/2020
1.0.0-preview-343634015 426 11/3/2020
1.0.0-preview-343610434 416 11/3/2020
1.0.0-preview-328097867 625 10/26/2020
1.0.0-preview-322875134 425 10/22/2020
1.0.0-preview-315311536 416 10/19/2020
1.0.0-preview-309180753 410 10/15/2020
1.0.0-preview-309013019 432 10/15/2020
1.0.0-preview-308920132 374 10/15/2020
1.0.0-preview-308837132 408 10/15/2020
1.0.0-preview-308751690 396 10/15/2020
1.0.0-preview-308593840 401 10/15/2020
1.0.0-preview-299173506 475 10/10/2020
1.0.0-preview-292259854 480 10/6/2020
1.0.0-preview-291985511 427 10/6/2020
1.0.0-preview-291903007 399 10/6/2020
1.0.0-preview-291722399 422 10/6/2020
1.0.0-preview-284981464 406 10/2/2020
1.0.0-preview-284595614 353 10/2/2020
1.0.0-preview-280886714 448 9/30/2020
1.0.0-preview-278989673 390 9/29/2020
1.0.0-preview-277686264 406 9/29/2020
1.0.0-preview-277653295 435 9/29/2020
1.0.0-preview-275730148 454 9/28/2020
1.0.0-preview-275727262 419 9/28/2020
1.0.0-preview-267667710 458 9/22/2020
1.0.0-preview-263264614 515 9/20/2020
1.0.0-preview-263250971 526 9/20/2020
1.0.0-preview-262623253 402 9/19/2020
1.0.0-preview-258339834 452 9/16/2020
1.0.0-preview-258210544 478 9/16/2020
1.0.0-preview-258177528 466 9/16/2020
1.0.0-preview-258119380 465 9/16/2020
1.0.0-preview-256594931 436 9/16/2020
1.0.0-preview-256435175 515 9/15/2020
1.0.0-preview-253816091 407 9/14/2020
1.0.0-preview-253197654 414 9/14/2020
1.0.0-preview-247523274 441 9/10/2020
1.0.0-preview-247118168 410 9/9/2020
1.0.0-preview-246444372 514 9/9/2020
1.0.0-preview-246434361 495 9/9/2020
1.0.0-preview-246402060 394 9/9/2020
1.0.0-preview-245105781 400 9/8/2020
1.0.0-preview-244918410 449 9/8/2020
1.0.0-preview-243478925 388 9/7/2020
1.0.0-preview-243471084 369 9/7/2020
1.0.0-preview-243323135 495 9/7/2020
1.0.0-preview-1413494063 471 11/2/2021
1.0.0-preview-1405354284 443 10/31/2021
1.0.0-preview-1338129467 469 10/13/2021
1.0.0-preview-1327345305 566 10/11/2021
1.0.0-preview-1325686991 443 10/10/2021
1.0.0-preview-1324682939 582 10/10/2021
1.0.0-preview-1239345497 525 9/15/2021
1.0.0-preview-1227879651 506 9/13/2021
1.0.0-preview-1227810778 503 9/13/2021
1.0.0-preview-1222163389 470 9/10/2021
1.0.0-preview-1177844564 491 8/28/2021
1.0.0-preview-1176119659 412 8/28/2021
1.0.0-preview-1176116073 456 8/28/2021
1.0.0-preview-1176112166 430 8/28/2021
1.0.0-preview-1172193368 408 8/26/2021
1.0.0-preview-1168287221 410 8/25/2021
1.0.0-preview-1147185155 502 8/19/2021
1.0.0-preview-1133286135 502 8/15/2021
1.0.0-preview-1118120224 517 8/10/2021
1.0.0-preview-1111420036 414 8/9/2021
1.0.0-preview-1111385512 405 8/9/2021
1.0.0-preview-1111166736 436 8/9/2021
1.0.0-preview-1088380884 461 8/1/2021
1.0.0-preview-1088311063 452 8/1/2021
1.0.0-preview-1088021240 561 8/1/2021
1.0.0-preview-1083990424 469 7/31/2021
1.0.0-preview-1080710191 455 7/30/2021
1.0.0-preview-1080701269 475 7/30/2021
1.0.0-preview-1079028054 511 7/29/2021
1.0.0-preview-1079000079 481 7/29/2021
1.0.0-preview-1078977564 532 7/29/2021
1.0.0-preview-1069218438 394 7/26/2021
1.0.0-preview-1065692127 518 7/26/2021
1.0.0-preview-1054554829 467 7/22/2021
1.0.0-preview-1054460177 463 7/22/2021
1.0.0-preview-1044919966 406 7/19/2021
1.0.0-preview-1043697034 388 7/19/2021
1.0.0-preview-1001211231 447 7/5/2021
1.0.0-preview-1001204475 448 7/5/2021
0.9.5-preview-243240046 465 9/7/2020
0.9.5-preview-243219862 455 9/7/2020