DiffSharp-cuda-windows 1.0.6-preview1838790927

This is a prerelease version of DiffSharp-cuda-windows.
There is a newer version of this package available.
See the version list below for details.
dotnet add package DiffSharp-cuda-windows --version 1.0.6-preview1838790927                
NuGet\Install-Package DiffSharp-cuda-windows -Version 1.0.6-preview1838790927                
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-cuda-windows" Version="1.0.6-preview1838790927" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add DiffSharp-cuda-windows --version 1.0.6-preview1838790927                
#r "nuget: DiffSharp-cuda-windows, 1.0.6-preview1838790927"                
#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.
// Install DiffSharp-cuda-windows as a Cake Addin
#addin nuget:?package=DiffSharp-cuda-windows&version=1.0.6-preview1838790927&prerelease

// Install DiffSharp-cuda-windows as a Cake Tool
#tool nuget:?package=DiffSharp-cuda-windows&version=1.0.6-preview1838790927&prerelease                

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 is compatible.  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. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on DiffSharp-cuda-windows:

Package Downloads
DiffSharp-cuda

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 2,066 3/26/2022
1.0.7-preview2044360861 324 3/26/2022
1.0.7-preview1873603133 303 2/21/2022
1.0.7-preview1872895008 290 2/20/2022
1.0.7-preview1872194677 325 2/20/2022
1.0.7-preview1867437105 249 2/19/2022
1.0.7-preview1838897476 316 2/14/2022
1.0.7-preview1838869913 305 2/14/2022
1.0.6 4,910 2/9/2022
1.0.6-preview1838805210 326 2/14/2022
1.0.6-preview1838790927 346 2/14/2022
1.0.6-preview1838781533 341 2/14/2022
1.0.6-preview1838761310 315 2/14/2022
1.0.6-preview1838574327 332 2/14/2022
1.0.6-preview1838238393 301 2/13/2022
1.0.6-preview1837967313 300 2/13/2022
1.0.6-preview1837932839 246 2/13/2022
1.0.6-preview1837857091 207 2/13/2022
1.0.5 3,231 2/9/2022
1.0.4 2,736 2/8/2022
1.0.3 4,226 2/8/2022
1.0.2 2,693 2/8/2022
1.0.1 3,929 11/8/2021
1.0.0-preview-987646120 364 6/30/2021
1.0.0-preview-964642900 351 6/23/2021
1.0.0-preview-964597118 320 6/23/2021
1.0.0-preview-964532207 305 6/23/2021
1.0.0-preview-964414624 411 6/23/2021
1.0.0-preview-961120541 237 6/22/2021
1.0.0-preview-958984202 327 6/22/2021
1.0.0-preview-783523654 361 4/25/2021
1.0.0-preview-783503343 361 4/25/2021
1.0.0-preview-783410550 323 4/25/2021
1.0.0-preview-781810429 206 4/25/2021
1.0.0-preview-775752139 309 4/22/2021
1.0.0-preview-774228953 353 4/22/2021
1.0.0-preview-769092916 365 4/21/2021
1.0.0-preview-768013090 297 4/20/2021
1.0.0-preview-762002995 326 4/19/2021
1.0.0-preview-761040762 377 4/18/2021
1.0.0-preview-761018834 370 4/18/2021
1.0.0-preview-756065403 259 4/16/2021
1.0.0-preview-755638011 319 4/16/2021
1.0.0-preview-752421465 326 4/15/2021
1.0.0-preview-748176085 328 4/14/2021
1.0.0-preview-746203897 261 4/13/2021
1.0.0-preview-746138300 277 4/13/2021
1.0.0-preview-745205599 251 4/13/2021
1.0.0-preview-739671157 272 4/12/2021
1.0.0-preview-712483117 343 4/2/2021
1.0.0-preview-699281085 241 3/29/2021
1.0.0-preview-699125312 343 3/29/2021
1.0.0-preview-698458610 362 3/29/2021
1.0.0-preview-697743517 416 3/29/2021
1.0.0-preview-697665469 324 3/29/2021
1.0.0-preview-690194555 346 3/26/2021
1.0.0-preview-688124591 280 3/25/2021
1.0.0-preview-687886352 266 3/25/2021
1.0.0-preview-681551353 271 3/24/2021
1.0.0-preview-681104545 330 3/23/2021
1.0.0-preview-680643606 365 3/23/2021
1.0.0-preview-679950457 349 3/23/2021
1.0.0-preview-669022451 313 3/19/2021
1.0.0-preview-643151273 234 3/11/2021
1.0.0-preview-633398743 258 3/8/2021
1.0.0-preview-633348953 262 3/8/2021
1.0.0-preview-621803110 381 3/4/2021
1.0.0-preview-611561611 347 3/1/2021
1.0.0-preview-611172961 246 3/1/2021
1.0.0-preview-593196134 282 2/23/2021
1.0.0-preview-589424126 299 2/22/2021
1.0.0-preview-589402583 336 2/22/2021
1.0.0-preview-586837684 220 2/21/2021
1.0.0-preview-586440747 273 2/21/2021
1.0.0-preview-498549439 290 1/20/2021
1.0.0-preview-485581354 250 1/14/2021
1.0.0-preview-392545720 314 11/30/2020
1.0.0-preview-392233243 290 11/30/2020
1.0.0-preview-392187079 363 11/30/2020
1.0.0-preview-390203270 296 11/29/2020
1.0.0-preview-387146713 403 11/27/2020
1.0.0-preview-386097798 442 11/26/2020
1.0.0-preview-385867359 388 11/26/2020
1.0.0-preview-385523380 282 11/26/2020
1.0.0-preview-384128234 390 11/25/2020
1.0.0-preview-374537774 388 11/20/2020
1.0.0-preview-374468367 303 11/20/2020
1.0.0-preview-368681212 305 11/17/2020
1.0.0-preview-368659044 405 11/17/2020
1.0.0-preview-364746088 429 11/15/2020
1.0.0-preview-364706087 377 11/15/2020
1.0.0-preview-363372268 320 11/14/2020
1.0.0-preview-362038354 282 11/13/2020
1.0.0-preview-362004577 327 11/13/2020
1.0.0-preview-361488593 285 11/13/2020
1.0.0-preview-360710530 356 11/13/2020
1.0.0-preview-359756455 383 11/12/2020
1.0.0-preview-358333968 303 11/11/2020
1.0.0-preview-358184921 301 11/11/2020
1.0.0-preview-358174946 269 11/11/2020
1.0.0-preview-349704450 383 11/6/2020
1.0.0-preview-349564717 339 11/6/2020
1.0.0-preview-343634015 305 11/3/2020
1.0.0-preview-343610434 318 11/3/2020
1.0.0-preview-328097867 319 10/26/2020
1.0.0-preview-322875134 333 10/22/2020
1.0.0-preview-315311536 323 10/19/2020
1.0.0-preview-309180753 308 10/15/2020
1.0.0-preview-309013019 347 10/15/2020
1.0.0-preview-308920132 293 10/15/2020
1.0.0-preview-308837132 314 10/15/2020
1.0.0-preview-308751690 322 10/15/2020
1.0.0-preview-308593840 322 10/15/2020
1.0.0-preview-299173506 388 10/10/2020
1.0.0-preview-292259854 374 10/6/2020
1.0.0-preview-291985511 376 10/6/2020
1.0.0-preview-291903007 340 10/6/2020
1.0.0-preview-291722399 352 10/6/2020
1.0.0-preview-284981464 298 10/2/2020
1.0.0-preview-284595614 319 10/2/2020
1.0.0-preview-280886714 358 9/30/2020
1.0.0-preview-278989673 288 9/29/2020
1.0.0-preview-277686264 322 9/29/2020
1.0.0-preview-277653295 351 9/29/2020
1.0.0-preview-275730148 359 9/28/2020
1.0.0-preview-275727262 366 9/28/2020
1.0.0-preview-267667710 413 9/22/2020
1.0.0-preview-263264614 403 9/20/2020
1.0.0-preview-263250971 429 9/20/2020
1.0.0-preview-262623253 311 9/19/2020
1.0.0-preview-258339834 358 9/16/2020
1.0.0-preview-258210544 375 9/16/2020
1.0.0-preview-258177528 368 9/16/2020
1.0.0-preview-258119380 375 9/16/2020
1.0.0-preview-256594931 367 9/16/2020
1.0.0-preview-256435175 418 9/15/2020
1.0.0-preview-253816091 352 9/14/2020
1.0.0-preview-253197654 347 9/14/2020
1.0.0-preview-247523274 314 9/10/2020
1.0.0-preview-247118168 285 9/9/2020
1.0.0-preview-246444372 405 9/9/2020
1.0.0-preview-246434361 405 9/9/2020
1.0.0-preview-246402060 330 9/9/2020
1.0.0-preview-245105781 340 9/8/2020
1.0.0-preview-244918410 369 9/8/2020
1.0.0-preview-243478925 326 9/7/2020
1.0.0-preview-243471084 324 9/7/2020
1.0.0-preview-243323135 401 9/7/2020
1.0.0-preview-1413494063 355 11/2/2021
1.0.0-preview-1405354284 273 10/31/2021
1.0.0-preview-1338129467 334 10/13/2021
1.0.0-preview-1327345305 460 10/11/2021
1.0.0-preview-1325686991 273 10/10/2021
1.0.0-preview-1324682939 444 10/10/2021
1.0.0-preview-1239345497 344 9/15/2021
1.0.0-preview-1227879651 263 9/13/2021
1.0.0-preview-1227810778 307 9/13/2021
1.0.0-preview-1222163389 300 9/10/2021
1.0.0-preview-1177844564 369 8/28/2021
1.0.0-preview-1176119659 301 8/28/2021
1.0.0-preview-1176116073 253 8/28/2021
1.0.0-preview-1176112166 253 8/28/2021
1.0.0-preview-1172193368 320 8/26/2021
1.0.0-preview-1168287221 271 8/25/2021
1.0.0-preview-1147185155 369 8/19/2021
1.0.0-preview-1133286135 337 8/15/2021
1.0.0-preview-1118120224 397 8/10/2021
1.0.0-preview-1111420036 262 8/9/2021
1.0.0-preview-1111385512 271 8/9/2021
1.0.0-preview-1111166736 335 8/9/2021
1.0.0-preview-1088380884 291 8/1/2021
1.0.0-preview-1088311063 341 8/1/2021
1.0.0-preview-1088021240 414 8/1/2021
1.0.0-preview-1083990424 305 7/31/2021
1.0.0-preview-1080710191 285 7/30/2021
1.0.0-preview-1080701269 299 7/30/2021
1.0.0-preview-1079028054 389 7/29/2021
1.0.0-preview-1079000079 333 7/29/2021
1.0.0-preview-1078977564 361 7/29/2021
1.0.0-preview-1069218438 272 7/26/2021
1.0.0-preview-1065692127 398 7/26/2021
1.0.0-preview-1054554829 311 7/22/2021
1.0.0-preview-1054460177 315 7/22/2021
1.0.0-preview-1044919966 272 7/19/2021
1.0.0-preview-1043697034 250 7/19/2021
1.0.0-preview-1001211231 298 7/5/2021
1.0.0-preview-1001204475 318 7/5/2021
0.9.5-preview-243240046 396 9/7/2020
0.9.5-preview-243219862 408 9/7/2020