DiffSharp.Core 1.0.7

dotnet add package DiffSharp.Core --version 1.0.7
                    
NuGet\Install-Package DiffSharp.Core -Version 1.0.7
                    
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.Core" Version="1.0.7" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="DiffSharp.Core" Version="1.0.7" />
                    
Directory.Packages.props
<PackageReference Include="DiffSharp.Core" />
                    
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.Core --version 1.0.7
                    
#r "nuget: DiffSharp.Core, 1.0.7"
                    
#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.Core@1.0.7
                    
#: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.Core&version=1.0.7
                    
Install as a Cake Addin
#tool nuget:?package=DiffSharp.Core&version=1.0.7
                    
Install as a Cake Tool

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/

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 (10)

Showing the top 5 NuGet packages that depend on DiffSharp.Core:

Package Downloads
DiffSharp.Backends.Torch

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.Backends.Reference

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-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.Data

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/

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
1.0.7 8,128 3/26/2022
1.0.7-preview2044360861 1,175 3/26/2022
1.0.7-preview1873603133 1,293 2/21/2022
1.0.7-preview1872895008 1,292 2/20/2022
1.0.7-preview1872194677 1,252 2/20/2022
1.0.7-preview1867437105 1,191 2/19/2022
1.0.7-preview1838897476 1,263 2/14/2022
1.0.7-preview1838869913 1,290 2/14/2022
1.0.6 8,125 2/9/2022
1.0.6-preview1838805210 1,221 2/14/2022
1.0.6-preview1838790927 1,312 2/14/2022
1.0.6-preview1838781533 1,217 2/14/2022
1.0.6-preview1838761310 1,260 2/14/2022
1.0.6-preview1838574327 1,371 2/14/2022
1.0.6-preview1838238393 1,268 2/13/2022
1.0.6-preview1837967313 1,279 2/13/2022
1.0.6-preview1837932839 1,081 2/13/2022
1.0.6-preview1837857091 1,065 2/13/2022
1.0.5 5,012 2/9/2022
1.0.4 5,318 2/8/2022
1.0.3 6,360 2/8/2022
1.0.2 5,414 2/8/2022
1.0.1 5,992 11/8/2021
1.0.0-preview-987646120 1,535 6/30/2021
1.0.0-preview-964642900 1,406 6/23/2021
1.0.0-preview-964597118 1,354 6/23/2021
1.0.0-preview-964532207 1,383 6/23/2021
1.0.0-preview-964414624 1,398 6/23/2021
1.0.0-preview-962665709 1,245 6/23/2021
1.0.0-preview-961120541 1,259 6/22/2021
1.0.0-preview-958984202 1,299 6/22/2021
1.0.0-preview-783523654 1,466 4/25/2021
1.0.0-preview-783503343 1,426 4/25/2021
1.0.0-preview-783410550 1,373 4/25/2021
1.0.0-preview-781810429 1,339 4/25/2021
1.0.0-preview-775752139 1,415 4/22/2021
1.0.0-preview-774228953 1,406 4/22/2021
1.0.0-preview-769092916 1,419 4/21/2021
1.0.0-preview-768013090 1,288 4/20/2021
1.0.0-preview-762002995 1,365 4/19/2021
1.0.0-preview-761040762 1,448 4/18/2021
1.0.0-preview-761018834 1,400 4/18/2021
1.0.0-preview-756065403 1,248 4/16/2021
1.0.0-preview-755638011 1,291 4/16/2021
1.0.0-preview-752421465 1,339 4/15/2021
1.0.0-preview-748176085 1,400 4/14/2021
1.0.0-preview-746203897 1,379 4/13/2021
1.0.0-preview-746138300 1,347 4/13/2021
1.0.0-preview-745205599 1,330 4/13/2021
1.0.0-preview-739671157 1,302 4/12/2021
1.0.0-preview-712483117 1,342 4/2/2021
1.0.0-preview-699281085 1,278 3/29/2021
1.0.0-preview-699125312 1,361 3/29/2021
1.0.0-preview-698458610 1,460 3/29/2021
1.0.0-preview-697743517 1,396 3/29/2021
1.0.0-preview-697665469 1,364 3/29/2021
1.0.0-preview-690194555 1,346 3/26/2021
1.0.0-preview-688124591 1,359 3/25/2021
1.0.0-preview-687886352 1,386 3/25/2021
1.0.0-preview-681551353 1,331 3/24/2021
1.0.0-preview-681104545 1,392 3/23/2021
1.0.0-preview-680643606 1,436 3/23/2021
1.0.0-preview-679950457 1,366 3/23/2021
1.0.0-preview-669022451 1,346 3/19/2021
1.0.0-preview-643151273 1,266 3/11/2021
1.0.0-preview-633398743 1,295 3/8/2021
1.0.0-preview-633348953 1,327 3/8/2021
1.0.0-preview-621803110 1,402 3/4/2021
1.0.0-preview-611561611 1,388 3/1/2021
1.0.0-preview-611172961 1,300 3/1/2021
1.0.0-preview-593196134 1,309 2/23/2021
1.0.0-preview-589424126 1,290 2/22/2021
1.0.0-preview-589402583 1,335 2/22/2021
1.0.0-preview-586837684 1,286 2/21/2021
1.0.0-preview-586440747 1,292 2/21/2021
1.0.0-preview-498549439 1,321 1/20/2021
1.0.0-preview-485581354 1,374 1/14/2021
1.0.0-preview-392545720 1,410 11/30/2020
1.0.0-preview-392233243 1,402 11/30/2020
1.0.0-preview-392187079 1,457 11/30/2020
1.0.0-preview-390203270 1,422 11/29/2020
1.0.0-preview-387146713 1,508 11/27/2020
1.0.0-preview-386097798 1,567 11/26/2020
1.0.0-preview-385867359 1,544 11/26/2020
1.0.0-preview-385523380 1,417 11/26/2020
1.0.0-preview-384128234 1,495 11/25/2020
1.0.0-preview-374537774 1,450 11/20/2020
1.0.0-preview-374468367 1,373 11/20/2020
1.0.0-preview-368681212 1,487 11/17/2020
1.0.0-preview-368659044 1,513 11/17/2020
1.0.0-preview-364746088 1,540 11/15/2020
1.0.0-preview-364706087 1,461 11/15/2020
1.0.0-preview-363372268 1,360 11/14/2020
1.0.0-preview-362038354 1,456 11/13/2020
1.0.0-preview-362004577 1,452 11/13/2020
1.0.0-preview-361488593 1,339 11/13/2020
1.0.0-preview-360710530 1,419 11/13/2020
1.0.0-preview-359756455 1,480 11/12/2020
1.0.0-preview-358333968 1,475 11/11/2020
1.0.0-preview-358184921 1,610 11/11/2020
1.0.0-preview-358174946 1,463 11/11/2020
1.0.0-preview-349704450 1,598 11/6/2020
1.0.0-preview-349564717 1,514 11/6/2020
1.0.0-preview-343634015 1,576 11/3/2020
1.0.0-preview-343610434 1,460 11/3/2020
1.0.0-preview-328097867 1,839 10/26/2020
1.0.0-preview-322875134 1,608 10/22/2020
1.0.0-preview-315311536 1,491 10/19/2020
1.0.0-preview-309180753 1,552 10/15/2020
1.0.0-preview-309013019 1,574 10/15/2020
1.0.0-preview-308920132 1,405 10/15/2020
1.0.0-preview-308837132 1,518 10/15/2020
1.0.0-preview-308751690 1,520 10/15/2020
1.0.0-preview-308593840 1,487 10/15/2020
1.0.0-preview-299173506 1,626 10/10/2020
1.0.0-preview-292259854 1,566 10/6/2020
1.0.0-preview-291985511 1,468 10/6/2020
1.0.0-preview-291903007 1,536 10/6/2020
1.0.0-preview-291722399 1,460 10/6/2020
1.0.0-preview-284981464 1,479 10/2/2020
1.0.0-preview-284595614 1,485 10/2/2020
1.0.0-preview-280886714 1,647 9/30/2020
1.0.0-preview-278989673 1,380 9/29/2020
1.0.0-preview-277686264 1,485 9/29/2020
1.0.0-preview-277653295 1,503 9/29/2020
1.0.0-preview-275730148 1,633 9/28/2020
1.0.0-preview-275727262 1,579 9/28/2020
1.0.0-preview-267667710 1,617 9/22/2020
1.0.0-preview-263264614 1,536 9/20/2020
1.0.0-preview-263250971 1,581 9/20/2020
1.0.0-preview-262623253 1,409 9/19/2020
1.0.0-preview-258339834 1,476 9/16/2020
1.0.0-preview-258210544 1,575 9/16/2020
1.0.0-preview-258177528 1,573 9/16/2020
1.0.0-preview-258119380 1,564 9/16/2020
1.0.0-preview-256594931 1,586 9/16/2020
1.0.0-preview-256435175 1,576 9/15/2020
1.0.0-preview-253816091 1,519 9/14/2020
1.0.0-preview-253197654 1,555 9/14/2020
1.0.0-preview-247523274 1,491 9/10/2020
1.0.0-preview-247118168 1,557 9/9/2020
1.0.0-preview-246444372 1,588 9/9/2020
1.0.0-preview-246434361 1,543 9/9/2020
1.0.0-preview-246402060 1,490 9/9/2020
1.0.0-preview-245105781 1,484 9/8/2020
1.0.0-preview-244918410 1,573 9/8/2020
1.0.0-preview-243478925 1,482 9/7/2020
1.0.0-preview-243471084 1,484 9/7/2020
1.0.0-preview-243323135 1,614 9/7/2020
1.0.0-preview-1413494063 1,382 11/2/2021
1.0.0-preview-1405354284 1,315 10/31/2021
1.0.0-preview-1338129467 1,328 10/13/2021
1.0.0-preview-1327345305 1,354 10/11/2021
1.0.0-preview-1325686991 1,384 10/10/2021
1.0.0-preview-1324682939 1,396 10/10/2021
1.0.0-preview-1239345497 1,377 9/15/2021
1.0.0-preview-1227879651 1,293 9/13/2021
1.0.0-preview-1227810778 1,371 9/13/2021
1.0.0-preview-1222163389 1,352 9/10/2021
1.0.0-preview-1177844564 1,424 8/28/2021
1.0.0-preview-1176119659 1,279 8/28/2021
1.0.0-preview-1176116073 1,336 8/28/2021
1.0.0-preview-1176112166 1,225 8/28/2021
1.0.0-preview-1172193368 1,259 8/26/2021
1.0.0-preview-1168287221 1,294 8/25/2021
1.0.0-preview-1147185155 1,355 8/19/2021
1.0.0-preview-1133286135 1,389 8/15/2021
1.0.0-preview-1118120224 1,400 8/10/2021
1.0.0-preview-1111420036 1,314 8/9/2021
1.0.0-preview-1111385512 1,310 8/9/2021
1.0.0-preview-1111166736 1,247 8/9/2021
1.0.0-preview-1088380884 1,306 8/1/2021
1.0.0-preview-1088311063 1,331 8/1/2021
1.0.0-preview-1088021240 1,409 8/1/2021
1.0.0-preview-1083990424 1,330 7/31/2021
1.0.0-preview-1080710191 1,320 7/30/2021
1.0.0-preview-1080701269 1,376 7/30/2021
1.0.0-preview-1079028054 1,448 7/29/2021
1.0.0-preview-1079000079 1,398 7/29/2021
1.0.0-preview-1078977564 1,466 7/29/2021
1.0.0-preview-1069218438 1,247 7/26/2021
1.0.0-preview-1065692127 1,427 7/26/2021
1.0.0-preview-1054554829 1,346 7/22/2021
1.0.0-preview-1054460177 1,323 7/22/2021
1.0.0-preview-1044919966 1,339 7/19/2021
1.0.0-preview-1043697034 1,257 7/19/2021
1.0.0-preview-1001211231 1,305 7/5/2021
1.0.0-preview-1001204475 1,301 7/5/2021
0.9.5-preview-243240046 1,562 9/7/2020
0.9.5-preview-243219862 1,704 9/7/2020