DiffSharp.Core 1.0.7

.NET Standard 2.1 此包针对 .NET Standard 2.1。此包与该框架或更高版本兼容。 
dotnet add package DiffSharp.Core --version 1.0.7                

                    
                

            
NuGet\Install-Package DiffSharp.Core -Version 1.0.7
此命令旨在在 Visual Studio 的包管理器控制台中使用，因为它使用 NuGet 模块的 Install-Package 版本。
<PackageReference Include="DiffSharp.Core" Version="1.0.7" />
对于支持 PackageReference 的项目，将此 XML 节点复制到项目文件中，以引用此包。
paket add DiffSharp.Core --version 1.0.7                

                    
                

            
#r "nuget: DiffSharp.Core, 1.0.7"
#r 指令可以在 F# Interactive 和 Polyglot Notebooks 中使用。将此复制到交互式工具或脚本的源代码中以引用此包。
// Install DiffSharp.Core as a Cake Addin
#addin nuget:?package=DiffSharp.Core&version=1.0.7

// Install DiffSharp.Core as a Cake Tool
#tool nuget:?package=DiffSharp.Core&version=1.0.7

DiffSharp 是一个支持可微分编程的张量库。它设计用于在机器学习、概率编程、优化等域中使用。有关文档和安装说明，请访问：https://diffsharp.github.io/

产品 兼容的和额外的计算目标框架版本。
.NET net5.0 已计算。 net5.0-windows 已计算。 net6.0 已计算。 net6.0-android 已计算。 net6.0-ios 已计算。 net6.0-maccatalyst 已计算。 net6.0-macos 已计算。 net6.0-tvos 已计算。 net6.0-windows 已计算。 net7.0 已计算。 net7.0-android 已计算。 net7.0-ios 已计算。 net7.0-maccatalyst 已计算。 net7.0-macos 已计算。 net7.0-tvos 已计算。 net7.0-windows 已计算。 net8.0 已计算。 net8.0-android 已计算。 net8.0-browser 已计算。 net8.0-ios 已计算。 net8.0-maccatalyst 已计算。 net8.0-macos 已计算。 net8.0-tvos 已计算。 net8.0-windows 已计算。
.NET Core netcoreapp3.0 已计算。 netcoreapp3.1 已计算。
.NET Standard netstandard2.1 兼容。
MonoAndroid monoandroid 已计算。
MonoMac monomac 已计算。
MonoTouch monotouch 已计算。
Tizen tizen60 已计算。
Xamarin.iOS xamarinios 已计算。
Xamarin.Mac xamarinmac 已计算。
Xamarin.TVOS xamarintvos 已计算。
Xamarin.WatchOS xamarinwatchos 已被计算。
兼容的目标框架
包含的目标框架（在包中）
了解更多关于 目标框架 和 .NET Standard 的信息。

NuGet 包 (8)

显示依赖 DiffSharp.Core 的前 5 个 NuGet 包

包 下载
DiffSharp.Backends.Torch

DiffSharp 是一个支持可微分编程的 tensor 库。它适用于机器学习、概率编程、优化和其他领域。有关文档和安装说明，请访问：https://diffsharp.github.io/
DiffSharp.Backends.Reference

DiffSharp 是一个支持可微分编程的 tensor 库。它适用于机器学习、概率编程、优化和其他领域。有关文档和安装说明，请访问：https://diffsharp.github.io/
DiffSharp-cuda-windows

DiffSharp 是一个支持可微分编程的 tensor 库。它适用于机器学习、概率编程、优化和其他领域。有关文档和安装说明，请访问：https://diffsharp.github.io/
DiffSharp.Data

DiffSharp 是一个支持可微分编程的 tensor 库。它适用于机器学习、概率编程、优化和其他领域。有关文档和安装说明，请访问：https://diffsharp.github.io/
DiffSharp-cuda-linux

DiffSharp 是一个支持可微分编程的 tensor 库。它适用于机器学习、概率编程、优化和其他领域。有关文档和安装说明，请访问：https://diffsharp.github.io/

GitHub 仓库

此包未在任何流行 GitHub 仓库中使用。

版本 下载 上次更新
1.0.7 5,079 3/26/2022
1.0.7-preview2044360861 794 3/26/2022
1.0.7-preview1873603133 896 2/21/2022
1.0.7-preview1872895008 869 2/20/2022
1.0.7-preview1872194677 856 2/20/2022
1.0.7-preview1867437105 760 2/19/2022
1.0.7-preview1838897476 845 2/14/2022
1.0.7-preview1838869913 852 2/14/2022
1.0.6 6,904 2/9/2022
1.0.6-preview1838805210 819 2/14/2022
1.0.6-preview1838790927 902 2/14/2022
1.0.6-preview1838781533 859 2/14/2022
1.0.6-preview1838761310 836 2/14/2022
1.0.6-preview1838574327 899 2/14/2022
1.0.6-preview1838238393 857 2/13/2022
1.0.6-preview1837967313 860 2/13/2022
1.0.6-preview1837932839 751 2/13/2022
1.0.6-preview1837857091 717 2/13/2022
1.0.5 4,157 2/9/2022
1.0.4 4,512 2/8/2022
1.0.3 5,454 2/8/2022
1.0.2 4,421 2/8/2022
1.0.1 4,824 11/8/2021
1.0.0-preview-987646120 1,143 6/30/2021
1.0.0-preview-964642900 1,012 6/23/2021
1.0.0-preview-964597118 1,015 6/23/2021
1.0.0-preview-964532207 1,015 6/23/2021
1.0.0-preview-964414624 1,014 6/23/2021
1.0.0-preview-962665709 948 6/23/2021
1.0.0-preview-961120541 944 6/22/2021
1.0.0-preview-958984202 962 6/22/2021
1.0.0-preview-783523654 1,097 4/25/2021
1.0.0-preview-783503343 1,065 4/25/2021
1.0.0-preview-783410550 1,029 4/25/2021
1.0.0-preview-781810429 995 4/25/2021
1.0.0-preview-775752139 1,050 4/22/2021
1.0.0-preview-774228953 1,004 4/22/2021
1.0.0-preview-769092916 1,028 4/21/2021
1.0.0-preview-768013090 937 4/20/2021
1.0.0-preview-762002995 1,003 4/19/2021
1.0.0-preview-761040762 1,082 4/18/2021
1.0.0-preview-761018834 1,036 4/18/2021
1.0.0-preview-756065403 914 4/16/2021
1.0.0-preview-755638011 965 4/16/2021
1.0.0-preview-752421465 967 4/15/2021
1.0.0-preview-748176085 1,021 4/14/2021
1.0.0-preview-746203897 1,042 4/13/2021
1.0.0-preview-746138300 971 4/13/2021
1.0.0-preview-745205599 954 4/13/2021
1.0.0-preview-739671157 941 4/12/2021
1.0.0-preview-712483117 972 4/2/2021
1.0.0-preview-699281085 897 3/29/2021
1.0.0-preview-699125312 958 3/29/2021
1.0.0-preview-698458610 1,087 3/29/2021
1.0.0-preview-697743517 1,009 3/29/2021
1.0.0-preview-697665469 991 3/29/2021
1.0.0-preview-690194555 1,022 3/26/2021
1.0.0-preview-688124591 994 3/25/2021
1.0.0-preview-687886352 1,009 3/25/2021
1.0.0-preview-681551353 1,000 3/24/2021
1.0.0-preview-681104545 1,011 3/23/2021
1.0.0-preview-680643606 1,064 3/23/2021
1.0.0-preview-679950457 1,002 3/23/2021
1.0.0-preview-669022451 984 3/19/2021
1.0.0-preview-643151273 913 3/11/2021
1.0.0-preview-633398743 985 3/8/2021
1.0.0-preview-633348953 973 3/8/2021
1.0.0-preview-621803110 1,017 3/4/2021
1.0.0-preview-611561611 1,022 3/1/2021
1.0.0-preview-611172961 968 3/1/2021
1.0.0-preview-593196134 980 2/23/2021
1.0.0-preview-589424126 918 2/22/2021
1.0.0-preview-589402583 963 2/22/2021
1.0.0-preview-586837684 959 2/21/2021
1.0.0-preview-586440747 943 2/21/2021
1.0.0-preview-498549439 1,034 1/20/2021
1.0.0-preview-485581354 1,038 1/14/2021
1.0.0-preview-392545720 1,049 11/30/2020
1.0.0-preview-392233243 1,063 11/30/2020
1.0.0-preview-392187079 1,080 11/30/2020
1.0.0-preview-390203270 1,059 11/29/2020
1.0.0-preview-387146713 1,125 11/27/2020
1.0.0-preview-386097798 1,174 11/26/2020
1.0.0-preview-385867359 1,168 11/26/2020
1.0.0-preview-385523380 1,044 11/26/2020
1.0.0-preview-384128234 1,115 11/25/2020
1.0.0-preview-374537774 1,067 11/20/2020
1.0.0-preview-374468367 1,037 11/20/2020
1.0.0-preview-368681212 1,106 11/17/2020
1.0.0-preview-368659044 1,097 11/17/2020
1.0.0-preview-364746088 1,155 11/15/2020
1.0.0-preview-364706087 1,112 11/15/2020
1.0.0-preview-363372268 1,022 11/14/2020
1.0.0-preview-362038354 1,097 11/13/2020
1.0.0-preview-362004577 1,086 11/13/2020
1.0.0-preview-361488593 980 11/13/2020
1.0.0-preview-360710530 1,050 11/13/2020
1.0.0-preview-359756455 1,120 11/12/2020
1.0.0-preview-358333968 1,098 11/11/2020
1.0.0-preview-358184921 1,197 11/11/2020
1.0.0-preview-358174946 1,142 11/11/2020
1.0.0-preview-349704450 1,223 11/6/2020
1.0.0-preview-349564717 1,147 11/6/2020
1.0.0-preview-343634015 1,199 11/3/2020
1.0.0-preview-343610434 1,142 11/3/2020
1.0.0-preview-328097867 1,395 10/26/2020
1.0.0-preview-322875134 1,266 10/22/2020
1.0.0-preview-315311536 1,154 10/19/2020
1.0.0-preview-309180753 1,184 10/15/2020
1.0.0-preview-309013019 1,246 10/15/2020
1.0.0-preview-308920132 1,076 10/15/2020
1.0.0-preview-308837132 1,172 10/15/2020
1.0.0-preview-308751690 1,168 10/15/2020
1.0.0-preview-308593840 1,137 10/15/2020
1.0.0-preview-299173506 1,274 10/10/2020
1.0.0-preview-292259854 1,195 10/6/2020
1.0.0-preview-291985511 1,135 10/6/2020
1.0.0-preview-291903007 1,155 10/6/2020
1.0.0-preview-291722399 1,149 10/6/2020
1.0.0-preview-284981464 1,117 10/2/2020
1.0.0-preview-284595614 1,124 10/2/2020
1.0.0-preview-280886714 1,270 9/30/2020
1.0.0-preview-278989673 1,096 9/29/2020
1.0.0-preview-277686264 1,150 9/29/2020
1.0.0-preview-277653295 1,187 9/29/2020
1.0.0-preview-275730148 1,276 9/28/2020
1.0.0-preview-275727262 1,209 9/28/2020
1.0.0-preview-267667710 1,257 9/22/2020
1.0.0-preview-263264614 1,210 9/20/2020
1.0.0-preview-263250971 1,234 9/20/2020
1.0.0-preview-262623253 1,099 9/19/2020
1.0.0-preview-258339834 1,154 9/16/2020
1.0.0-preview-258210544 1,184 9/16/2020
1.0.0-preview-258177528 1,197 9/16/2020
1.0.0-preview-258119380 1,221 9/16/2020
1.0.0-preview-256594931 1,225 9/16/2020
1.0.0-preview-256435175 1,204 9/15/2020
1.0.0-preview-253816091 1,168 9/14/2020
1.0.0-preview-253197654 1,168 9/14/2020
1.0.0-preview-247523274 1,149 9/10/2020
1.0.0-preview-247118168 1,186 9/9/2020
1.0.0-preview-246444372 1,255 9/9/2020
1.0.0-preview-246434361 1,230 9/9/2020
1.0.0-preview-246402060 1,124 9/9/2020
1.0.0-preview-245105781 1,114 9/8/2020
1.0.0-preview-244918410 1,217 9/8/2020
1.0.0-preview-243478925 1,091 9/7/2020
1.0.0-preview-243471084 1,146 9/7/2020
1.0.0-preview-243323135 1,238 9/7/2020
1.0.0-preview-1413494063 1,017 11/2/2021
1.0.0-preview-1405354284 993 10/31/2021
1.0.0-preview-1338129467 985 10/13/2021
1.0.0-preview-1327345305 1,012 10/11/2021
1.0.0-preview-1325686991 1,042 10/10/2021
1.0.0-preview-1324682939 1,070 10/10/2021
1.0.0-preview-1239345497 1,031 9/15/2021
1.0.0-preview-1227879651 959 9/13/2021
1.0.0-preview-1227810778 1,041 9/13/2021
1.0.0-preview-1222163389 1,034 9/10/2021
1.0.0-preview-1177844564 1,053 8/28/2021
1.0.0-preview-1176119659 959 8/28/2021
1.0.0-preview-1176116073 970 8/28/2021
1.0.0-preview-1176112166 887 8/28/2021
1.0.0-preview-1172193368 917 8/26/2021
1.0.0-preview-1168287221 959 8/25/2021
1.0.0-preview-1147185155 1,005 8/19/2021
1.0.0-preview-1133286135 993 8/15/2021
1.0.0-preview-1118120224 1,037 8/10/2021
1.0.0-preview-1111420036 950 8/9/2021
1.0.0-preview-1111385512 938 8/9/2021
1.0.0-preview-1111166736 930 8/9/2021
1.0.0-preview-1088380884 929 8/1/2021
1.0.0-preview-1088311063 969 8/1/2021
1.0.0-preview-1088021240 1,038 8/1/2021
1.0.0-preview-1083990424 979 7/31/2021
1.0.0-preview-1080710191 987 7/30/2021
1.0.0-preview-1080701269 1,054 7/30/2021
1.0.0-preview-1079028054 1,097 7/29/2021
1.0.0-preview-1079000079 1,020 7/29/2021
1.0.0-preview-1078977564 1,074 7/29/2021
1.0.0-preview-1069218438 898 7/26/2021
1.0.0-preview-1065692127 1,078 7/26/2021
1.0.0-preview-1054554829 1,004 7/22/2021
1.0.0-preview-1054460177 968 7/22/2021
1.0.0-preview-1044919966 949 7/19/2021
1.0.0-preview-1043697034 928 7/19/2021
1.0.0-preview-1001211231 969 7/5/2021
1.0.0-preview-1001204475 932 7/5/2021
0.9.5-preview-243240046 1,229 9/7/2020
0.9.5-preview-243219862 1,325 9/7/2020