DiffSharp.Backends.Reference 1.0.0-preview-360710530

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There is a newer version of this package available.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-360710530
                    
NuGet\Install-Package DiffSharp.Backends.Reference -Version 1.0.0-preview-360710530
                    
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-360710530" />
                    
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-360710530" />
                    
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-360710530
                    
#r "nuget: DiffSharp.Backends.Reference, 1.0.0-preview-360710530"
                    
#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-360710530&prerelease
                    
Install DiffSharp.Backends.Reference as a Cake Addin
#tool nuget:?package=DiffSharp.Backends.Reference&version=1.0.0-preview-360710530&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 (4)

Showing the top 4 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/

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.0.7 5,924 3/26/2022
1.0.7-preview2044360861 383 3/26/2022
1.0.7-preview1873603133 467 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 429 2/14/2022
1.0.7-preview1838869913 414 2/14/2022
1.0.6 6,628 2/9/2022
1.0.6-preview1838805210 438 2/14/2022
1.0.6-preview1838790927 467 2/14/2022
1.0.6-preview1838781533 461 2/14/2022
1.0.6-preview1838761310 389 2/14/2022
1.0.6-preview1838574327 491 2/14/2022
1.0.6-preview1838238393 433 2/13/2022
1.0.6-preview1837967313 429 2/13/2022
1.0.6-preview1837932839 283 2/13/2022
1.0.6-preview1837857091 299 2/13/2022
1.0.5 3,595 2/9/2022
1.0.4 3,804 2/8/2022
1.0.3 4,881 2/8/2022
1.0.2 3,991 2/8/2022
1.0.1 4,847 11/8/2021
1.0.0-preview-987646120 595 6/30/2021
1.0.0-preview-964642900 562 6/23/2021
1.0.0-preview-964597118 428 6/23/2021
1.0.0-preview-964532207 488 6/23/2021
1.0.0-preview-964414624 472 6/23/2021
1.0.0-preview-962665709 322 6/23/2021
1.0.0-preview-961120541 374 6/22/2021
1.0.0-preview-958984202 439 6/22/2021
1.0.0-preview-783523654 543 4/25/2021
1.0.0-preview-783503343 498 4/25/2021
1.0.0-preview-783410550 479 4/25/2021
1.0.0-preview-781810429 404 4/25/2021
1.0.0-preview-775752139 497 4/22/2021
1.0.0-preview-774228953 459 4/22/2021
1.0.0-preview-769092916 518 4/21/2021
1.0.0-preview-768013090 449 4/20/2021
1.0.0-preview-762002995 427 4/19/2021
1.0.0-preview-761040762 497 4/18/2021
1.0.0-preview-761018834 486 4/18/2021
1.0.0-preview-756065403 408 4/16/2021
1.0.0-preview-755638011 459 4/16/2021
1.0.0-preview-752421465 457 4/15/2021
1.0.0-preview-748176085 461 4/14/2021
1.0.0-preview-746203897 419 4/13/2021
1.0.0-preview-746138300 462 4/13/2021
1.0.0-preview-745205599 433 4/13/2021
1.0.0-preview-739671157 464 4/12/2021
1.0.0-preview-712483117 491 4/2/2021
1.0.0-preview-699281085 412 3/29/2021
1.0.0-preview-699125312 443 3/29/2021
1.0.0-preview-698458610 498 3/29/2021
1.0.0-preview-697743517 518 3/29/2021
1.0.0-preview-697665469 481 3/29/2021
1.0.0-preview-690194555 479 3/26/2021
1.0.0-preview-688124591 454 3/25/2021
1.0.0-preview-687886352 406 3/25/2021
1.0.0-preview-681551353 448 3/24/2021
1.0.0-preview-681104545 459 3/23/2021
1.0.0-preview-680643606 498 3/23/2021
1.0.0-preview-679950457 467 3/23/2021
1.0.0-preview-669022451 299 3/19/2021
1.0.0-preview-643151273 296 3/11/2021
1.0.0-preview-633398743 294 3/8/2021
1.0.0-preview-633348953 333 3/8/2021
1.0.0-preview-621803110 326 3/4/2021
1.0.0-preview-611561611 293 3/1/2021
1.0.0-preview-611172961 294 3/1/2021
1.0.0-preview-593196134 281 2/23/2021
1.0.0-preview-589424126 290 2/22/2021
1.0.0-preview-589402583 272 2/22/2021
1.0.0-preview-586837684 309 2/21/2021
1.0.0-preview-586440747 304 2/21/2021
1.0.0-preview-498549439 337 1/20/2021
1.0.0-preview-485581354 321 1/14/2021
1.0.0-preview-392545720 383 11/30/2020
1.0.0-preview-392233243 379 11/30/2020
1.0.0-preview-392187079 405 11/30/2020
1.0.0-preview-390203270 383 11/29/2020
1.0.0-preview-387146713 361 11/27/2020
1.0.0-preview-386097798 400 11/26/2020
1.0.0-preview-385867359 387 11/26/2020
1.0.0-preview-385523380 328 11/26/2020
1.0.0-preview-384128234 418 11/25/2020
1.0.0-preview-374537774 343 11/20/2020
1.0.0-preview-374468367 349 11/20/2020
1.0.0-preview-368681212 400 11/17/2020
1.0.0-preview-368659044 396 11/17/2020
1.0.0-preview-364746088 441 11/15/2020
1.0.0-preview-364706087 429 11/15/2020
1.0.0-preview-363372268 353 11/14/2020
1.0.0-preview-362038354 378 11/13/2020
1.0.0-preview-362004577 352 11/13/2020
1.0.0-preview-361488593 349 11/13/2020
1.0.0-preview-360710530 350 11/13/2020
1.0.0-preview-359756455 363 11/12/2020
1.0.0-preview-358333968 390 11/11/2020
1.0.0-preview-358184921 387 11/11/2020
1.0.0-preview-358174946 414 11/11/2020
1.0.0-preview-349704450 477 11/6/2020
1.0.0-preview-349564717 411 11/6/2020
1.0.0-preview-343634015 423 11/3/2020
1.0.0-preview-343610434 413 11/3/2020
1.0.0-preview-328097867 620 10/26/2020
1.0.0-preview-322875134 422 10/22/2020
1.0.0-preview-315311536 413 10/19/2020
1.0.0-preview-309180753 407 10/15/2020
1.0.0-preview-309013019 429 10/15/2020
1.0.0-preview-308920132 371 10/15/2020
1.0.0-preview-308837132 405 10/15/2020
1.0.0-preview-308751690 393 10/15/2020
1.0.0-preview-308593840 398 10/15/2020
1.0.0-preview-299173506 472 10/10/2020
1.0.0-preview-292259854 477 10/6/2020
1.0.0-preview-291985511 424 10/6/2020
1.0.0-preview-291903007 396 10/6/2020
1.0.0-preview-291722399 419 10/6/2020
1.0.0-preview-284981464 403 10/2/2020
1.0.0-preview-284595614 350 10/2/2020
1.0.0-preview-280886714 445 9/30/2020
1.0.0-preview-278989673 387 9/29/2020
1.0.0-preview-277686264 403 9/29/2020
1.0.0-preview-277653295 432 9/29/2020
1.0.0-preview-275730148 451 9/28/2020
1.0.0-preview-275727262 416 9/28/2020
1.0.0-preview-267667710 455 9/22/2020
1.0.0-preview-263264614 512 9/20/2020
1.0.0-preview-263250971 523 9/20/2020
1.0.0-preview-262623253 399 9/19/2020
1.0.0-preview-258339834 449 9/16/2020
1.0.0-preview-258210544 475 9/16/2020
1.0.0-preview-258177528 463 9/16/2020
1.0.0-preview-258119380 462 9/16/2020
1.0.0-preview-256594931 433 9/16/2020
1.0.0-preview-256435175 512 9/15/2020
1.0.0-preview-253816091 404 9/14/2020
1.0.0-preview-253197654 411 9/14/2020
1.0.0-preview-247523274 438 9/10/2020
1.0.0-preview-247118168 407 9/9/2020
1.0.0-preview-246444372 511 9/9/2020
1.0.0-preview-246434361 492 9/9/2020
1.0.0-preview-246402060 391 9/9/2020
1.0.0-preview-245105781 397 9/8/2020
1.0.0-preview-244918410 446 9/8/2020
1.0.0-preview-243478925 385 9/7/2020
1.0.0-preview-243471084 366 9/7/2020
1.0.0-preview-243323135 492 9/7/2020
1.0.0-preview-1413494063 469 11/2/2021
1.0.0-preview-1405354284 441 10/31/2021
1.0.0-preview-1338129467 467 10/13/2021
1.0.0-preview-1327345305 564 10/11/2021
1.0.0-preview-1325686991 441 10/10/2021
1.0.0-preview-1324682939 580 10/10/2021
1.0.0-preview-1239345497 523 9/15/2021
1.0.0-preview-1227879651 504 9/13/2021
1.0.0-preview-1227810778 501 9/13/2021
1.0.0-preview-1222163389 468 9/10/2021
1.0.0-preview-1177844564 489 8/28/2021
1.0.0-preview-1176119659 410 8/28/2021
1.0.0-preview-1176116073 454 8/28/2021
1.0.0-preview-1176112166 428 8/28/2021
1.0.0-preview-1172193368 406 8/26/2021
1.0.0-preview-1168287221 408 8/25/2021
1.0.0-preview-1147185155 500 8/19/2021
1.0.0-preview-1133286135 500 8/15/2021
1.0.0-preview-1118120224 515 8/10/2021
1.0.0-preview-1111420036 412 8/9/2021
1.0.0-preview-1111385512 403 8/9/2021
1.0.0-preview-1111166736 434 8/9/2021
1.0.0-preview-1088380884 459 8/1/2021
1.0.0-preview-1088311063 450 8/1/2021
1.0.0-preview-1088021240 559 8/1/2021
1.0.0-preview-1083990424 467 7/31/2021
1.0.0-preview-1080710191 453 7/30/2021
1.0.0-preview-1080701269 473 7/30/2021
1.0.0-preview-1079028054 509 7/29/2021
1.0.0-preview-1079000079 479 7/29/2021
1.0.0-preview-1078977564 530 7/29/2021
1.0.0-preview-1069218438 392 7/26/2021
1.0.0-preview-1065692127 516 7/26/2021
1.0.0-preview-1054554829 465 7/22/2021
1.0.0-preview-1054460177 461 7/22/2021
1.0.0-preview-1044919966 404 7/19/2021
1.0.0-preview-1043697034 386 7/19/2021
1.0.0-preview-1001211231 445 7/5/2021
1.0.0-preview-1001204475 446 7/5/2021
0.9.5-preview-243240046 462 9/7/2020
0.9.5-preview-243219862 452 9/7/2020