DiffSharp.Backends.Reference 1.0.0-preview-362038354

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There is a newer version of this package available.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-362038354
                    
NuGet\Install-Package DiffSharp.Backends.Reference -Version 1.0.0-preview-362038354
                    
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-362038354" />
                    
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-362038354" />
                    
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-362038354
                    
#r "nuget: DiffSharp.Backends.Reference, 1.0.0-preview-362038354"
                    
#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-362038354&prerelease
                    
Install DiffSharp.Backends.Reference as a Cake Addin
#tool nuget:?package=DiffSharp.Backends.Reference&version=1.0.0-preview-362038354&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 5,961 3/26/2022
1.0.7-preview2044360861 387 3/26/2022
1.0.7-preview1873603133 473 2/21/2022
1.0.7-preview1872895008 411 2/20/2022
1.0.7-preview1872194677 412 2/20/2022
1.0.7-preview1867437105 385 2/19/2022
1.0.7-preview1838897476 435 2/14/2022
1.0.7-preview1838869913 419 2/14/2022
1.0.6 6,633 2/9/2022
1.0.6-preview1838805210 443 2/14/2022
1.0.6-preview1838790927 473 2/14/2022
1.0.6-preview1838781533 466 2/14/2022
1.0.6-preview1838761310 394 2/14/2022
1.0.6-preview1838574327 496 2/14/2022
1.0.6-preview1838238393 438 2/13/2022
1.0.6-preview1837967313 434 2/13/2022
1.0.6-preview1837932839 288 2/13/2022
1.0.6-preview1837857091 305 2/13/2022
1.0.5 3,600 2/9/2022
1.0.4 3,809 2/8/2022
1.0.3 4,886 2/8/2022
1.0.2 3,996 2/8/2022
1.0.1 4,853 11/8/2021
1.0.0-preview-987646120 602 6/30/2021
1.0.0-preview-964642900 568 6/23/2021
1.0.0-preview-964597118 435 6/23/2021
1.0.0-preview-964532207 494 6/23/2021
1.0.0-preview-964414624 478 6/23/2021
1.0.0-preview-962665709 328 6/23/2021
1.0.0-preview-961120541 380 6/22/2021
1.0.0-preview-958984202 445 6/22/2021
1.0.0-preview-783523654 552 4/25/2021
1.0.0-preview-783503343 507 4/25/2021
1.0.0-preview-783410550 488 4/25/2021
1.0.0-preview-781810429 413 4/25/2021
1.0.0-preview-775752139 506 4/22/2021
1.0.0-preview-774228953 468 4/22/2021
1.0.0-preview-769092916 527 4/21/2021
1.0.0-preview-768013090 458 4/20/2021
1.0.0-preview-762002995 436 4/19/2021
1.0.0-preview-761040762 506 4/18/2021
1.0.0-preview-761018834 495 4/18/2021
1.0.0-preview-756065403 417 4/16/2021
1.0.0-preview-755638011 468 4/16/2021
1.0.0-preview-752421465 466 4/15/2021
1.0.0-preview-748176085 470 4/14/2021
1.0.0-preview-746203897 428 4/13/2021
1.0.0-preview-746138300 471 4/13/2021
1.0.0-preview-745205599 442 4/13/2021
1.0.0-preview-739671157 474 4/12/2021
1.0.0-preview-712483117 501 4/2/2021
1.0.0-preview-699281085 421 3/29/2021
1.0.0-preview-699125312 452 3/29/2021
1.0.0-preview-698458610 507 3/29/2021
1.0.0-preview-697743517 527 3/29/2021
1.0.0-preview-697665469 490 3/29/2021
1.0.0-preview-690194555 489 3/26/2021
1.0.0-preview-688124591 463 3/25/2021
1.0.0-preview-687886352 415 3/25/2021
1.0.0-preview-681551353 457 3/24/2021
1.0.0-preview-681104545 468 3/23/2021
1.0.0-preview-680643606 507 3/23/2021
1.0.0-preview-679950457 476 3/23/2021
1.0.0-preview-669022451 308 3/19/2021
1.0.0-preview-643151273 305 3/11/2021
1.0.0-preview-633398743 303 3/8/2021
1.0.0-preview-633348953 342 3/8/2021
1.0.0-preview-621803110 335 3/4/2021
1.0.0-preview-611561611 302 3/1/2021
1.0.0-preview-611172961 303 3/1/2021
1.0.0-preview-593196134 290 2/23/2021
1.0.0-preview-589424126 299 2/22/2021
1.0.0-preview-589402583 281 2/22/2021
1.0.0-preview-586837684 318 2/21/2021
1.0.0-preview-586440747 313 2/21/2021
1.0.0-preview-498549439 346 1/20/2021
1.0.0-preview-485581354 330 1/14/2021
1.0.0-preview-392545720 392 11/30/2020
1.0.0-preview-392233243 388 11/30/2020
1.0.0-preview-392187079 414 11/30/2020
1.0.0-preview-390203270 392 11/29/2020
1.0.0-preview-387146713 370 11/27/2020
1.0.0-preview-386097798 409 11/26/2020
1.0.0-preview-385867359 397 11/26/2020
1.0.0-preview-385523380 337 11/26/2020
1.0.0-preview-384128234 427 11/25/2020
1.0.0-preview-374537774 352 11/20/2020
1.0.0-preview-374468367 358 11/20/2020
1.0.0-preview-368681212 409 11/17/2020
1.0.0-preview-368659044 405 11/17/2020
1.0.0-preview-364746088 451 11/15/2020
1.0.0-preview-364706087 438 11/15/2020
1.0.0-preview-363372268 362 11/14/2020
1.0.0-preview-362038354 387 11/13/2020
1.0.0-preview-362004577 361 11/13/2020
1.0.0-preview-361488593 358 11/13/2020
1.0.0-preview-360710530 359 11/13/2020
1.0.0-preview-359756455 373 11/12/2020
1.0.0-preview-358333968 399 11/11/2020
1.0.0-preview-358184921 396 11/11/2020
1.0.0-preview-358174946 423 11/11/2020
1.0.0-preview-349704450 486 11/6/2020
1.0.0-preview-349564717 420 11/6/2020
1.0.0-preview-343634015 433 11/3/2020
1.0.0-preview-343610434 422 11/3/2020
1.0.0-preview-328097867 632 10/26/2020
1.0.0-preview-322875134 432 10/22/2020
1.0.0-preview-315311536 423 10/19/2020
1.0.0-preview-309180753 416 10/15/2020
1.0.0-preview-309013019 438 10/15/2020
1.0.0-preview-308920132 380 10/15/2020
1.0.0-preview-308837132 414 10/15/2020
1.0.0-preview-308751690 402 10/15/2020
1.0.0-preview-308593840 407 10/15/2020
1.0.0-preview-299173506 481 10/10/2020
1.0.0-preview-292259854 486 10/6/2020
1.0.0-preview-291985511 433 10/6/2020
1.0.0-preview-291903007 405 10/6/2020
1.0.0-preview-291722399 428 10/6/2020
1.0.0-preview-284981464 412 10/2/2020
1.0.0-preview-284595614 360 10/2/2020
1.0.0-preview-280886714 454 9/30/2020
1.0.0-preview-278989673 397 9/29/2020
1.0.0-preview-277686264 412 9/29/2020
1.0.0-preview-277653295 441 9/29/2020
1.0.0-preview-275730148 460 9/28/2020
1.0.0-preview-275727262 425 9/28/2020
1.0.0-preview-267667710 464 9/22/2020
1.0.0-preview-263264614 522 9/20/2020
1.0.0-preview-263250971 532 9/20/2020
1.0.0-preview-262623253 409 9/19/2020
1.0.0-preview-258339834 458 9/16/2020
1.0.0-preview-258210544 484 9/16/2020
1.0.0-preview-258177528 472 9/16/2020
1.0.0-preview-258119380 471 9/16/2020
1.0.0-preview-256594931 442 9/16/2020
1.0.0-preview-256435175 521 9/15/2020
1.0.0-preview-253816091 414 9/14/2020
1.0.0-preview-253197654 420 9/14/2020
1.0.0-preview-247523274 447 9/10/2020
1.0.0-preview-247118168 416 9/9/2020
1.0.0-preview-246444372 521 9/9/2020
1.0.0-preview-246434361 501 9/9/2020
1.0.0-preview-246402060 400 9/9/2020
1.0.0-preview-245105781 406 9/8/2020
1.0.0-preview-244918410 455 9/8/2020
1.0.0-preview-243478925 394 9/7/2020
1.0.0-preview-243471084 375 9/7/2020
1.0.0-preview-243323135 501 9/7/2020
1.0.0-preview-1413494063 475 11/2/2021
1.0.0-preview-1405354284 447 10/31/2021
1.0.0-preview-1338129467 473 10/13/2021
1.0.0-preview-1327345305 570 10/11/2021
1.0.0-preview-1325686991 447 10/10/2021
1.0.0-preview-1324682939 586 10/10/2021
1.0.0-preview-1239345497 529 9/15/2021
1.0.0-preview-1227879651 510 9/13/2021
1.0.0-preview-1227810778 507 9/13/2021
1.0.0-preview-1222163389 474 9/10/2021
1.0.0-preview-1177844564 495 8/28/2021
1.0.0-preview-1176119659 417 8/28/2021
1.0.0-preview-1176116073 460 8/28/2021
1.0.0-preview-1176112166 434 8/28/2021
1.0.0-preview-1172193368 413 8/26/2021
1.0.0-preview-1168287221 414 8/25/2021
1.0.0-preview-1147185155 506 8/19/2021
1.0.0-preview-1133286135 506 8/15/2021
1.0.0-preview-1118120224 521 8/10/2021
1.0.0-preview-1111420036 418 8/9/2021
1.0.0-preview-1111385512 409 8/9/2021
1.0.0-preview-1111166736 441 8/9/2021
1.0.0-preview-1088380884 466 8/1/2021
1.0.0-preview-1088311063 456 8/1/2021
1.0.0-preview-1088021240 565 8/1/2021
1.0.0-preview-1083990424 473 7/31/2021
1.0.0-preview-1080710191 460 7/30/2021
1.0.0-preview-1080701269 479 7/30/2021
1.0.0-preview-1079028054 515 7/29/2021
1.0.0-preview-1079000079 486 7/29/2021
1.0.0-preview-1078977564 536 7/29/2021
1.0.0-preview-1069218438 398 7/26/2021
1.0.0-preview-1065692127 522 7/26/2021
1.0.0-preview-1054554829 471 7/22/2021
1.0.0-preview-1054460177 468 7/22/2021
1.0.0-preview-1044919966 411 7/19/2021
1.0.0-preview-1043697034 392 7/19/2021
1.0.0-preview-1001211231 451 7/5/2021
1.0.0-preview-1001204475 453 7/5/2021
0.9.5-preview-243240046 471 9/7/2020
0.9.5-preview-243219862 461 9/7/2020