SciSharp.TensorFlow.Redist
2.16.0
dotnet add package SciSharp.TensorFlow.Redist --version 2.16.0
NuGet\Install-Package SciSharp.TensorFlow.Redist -Version 2.16.0
<PackageReference Include="SciSharp.TensorFlow.Redist" Version="2.16.0" />
<PackageVersion Include="SciSharp.TensorFlow.Redist" Version="2.16.0" />
<PackageReference Include="SciSharp.TensorFlow.Redist" />
paket add SciSharp.TensorFlow.Redist --version 2.16.0
#r "nuget: SciSharp.TensorFlow.Redist, 2.16.0"
#addin nuget:?package=SciSharp.TensorFlow.Redist&version=2.16.0
#tool nuget:?package=SciSharp.TensorFlow.Redist&version=2.16.0
SciSharp.TensorFlow.Redist is a package contains Google TensorFlow C library CPU version 2.16.0 redistributed as a NuGet package.
Product | Versions 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 | netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
.NET Standard | netstandard2.0 is compatible. netstandard2.1 was computed. |
.NET Framework | net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
MonoAndroid | monoandroid was computed. |
MonoMac | monomac was computed. |
MonoTouch | monotouch was computed. |
Tizen | tizen40 was computed. tizen60 was computed. |
Xamarin.iOS | xamarinios was computed. |
Xamarin.Mac | xamarinmac was computed. |
Xamarin.TVOS | xamarintvos was computed. |
Xamarin.WatchOS | xamarinwatchos was computed. |
-
.NETStandard 2.0
- No dependencies.
NuGet packages (4)
Showing the top 4 NuGet packages that depend on SciSharp.TensorFlow.Redist:
Package | Downloads |
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VoiceNET.Lib.WebAPI
VoiceNET.Lib.WebAPI is an extension of VoiceNET.Library that supports Web API. |
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VoiceNET.Library
.NET Library makes it easy and fast to create Voice Command Control functionality. It helps develop voice control in real-time on software or the web. It free supports online and offline use. |
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Carbon.Feature.Learning
Feature to provide integration with various Machine Learning frameworks. |
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ImageClassification
A ML.NET wrapper to ease image classification. |
GitHub repositories (10)
Showing the top 10 popular GitHub repositories that depend on SciSharp.TensorFlow.Redist:
Repository | Stars |
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dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
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dotnet/samples
Sample code referenced by the .NET documentation
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SciSharp/TensorFlow.NET
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
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SciSharp/Pandas.NET
Pandas port for C# and F#, data analysis tool, process multi-dim array in DataFrame.
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SciSharp/SciSharp-Stack-Examples
Practical examples written in SciSharp's machine learning libraries
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SciSharp/SharpCV
A Computer Vision library for C# and F# that combines OpenCV and NDArray together in .NET Standard.
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YSGStudyHards/DotNetExercises
⚔【DotNetGuide专栏C#/.NET/.NET Core编程技巧练习集】C#/.NET/.NET Core编程常用语法、算法、技巧、中间件、类库、工作业务实操练习集,配套详细的文章教程讲解,助你快速掌握C#/.NET/.NET Core中各种编程常用语法、算法、技巧、中间件、类库、工作业务实操等等。
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zLulus/NotePractice
My_Note 笔记练习demo
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jeffprosise/ML.NET
Code samples utilizing Microsoft's ML.NET machine-learning library
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SciSharp/CherubNLP
Natural Language Processing in .NET Core
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Version | Downloads | Last updated |
---|---|---|
2.16.0 | 276,338 | 11/5/2023 |
2.11.4 | 101,503 | 6/21/2023 |
2.11.3 | 22,546 | 4/26/2023 |
2.11.2 | 13,823 | 4/19/2023 |
2.11.0 | 41,097 | 2/13/2023 |
2.10.0 | 61,200 | 11/12/2022 |
2.7.0 | 168,026 | 12/11/2021 |
2.6.0 | 116,333 | 8/13/2021 |
2.5.0 | 106,810 | 5/23/2021 |
2.4.1 | 89,475 | 2/13/2021 |
2.4.0 | 22,699 | 12/15/2020 |
2.3.1 | 430,292 | 10/8/2020 |
2.3.0 | 51,535 | 7/29/2020 |
2.2.0.2 | 32,513 | 6/13/2020 |
2.2.0.1 | 13,617 | 5/23/2020 |
2.2.0 | 6,896 | 5/16/2020 |
2.1.0 | 17,752 | 3/14/2020 |
1.15.1 | 35,012 | 3/1/2020 |
1.15.0 | 58,361 | 10/17/2019 |
1.14.1 | 8,407 | 10/20/2019 |
1.14.0 | 234,458 | 7/13/2019 |