Microsoft.ML.TensorFlow 3.0.1

Prefix Reserved
There is a newer prerelease version of this package available.
See the version list below for details.
dotnet add package Microsoft.ML.TensorFlow --version 3.0.1                
NuGet\Install-Package Microsoft.ML.TensorFlow -Version 3.0.1                
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="Microsoft.ML.TensorFlow" Version="3.0.1" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.ML.TensorFlow --version 3.0.1                
#r "nuget: Microsoft.ML.TensorFlow, 3.0.1"                
#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 Microsoft.ML.TensorFlow as a Cake Addin
#addin nuget:?package=Microsoft.ML.TensorFlow&version=3.0.1

// Install Microsoft.ML.TensorFlow as a Cake Tool
#tool nuget:?package=Microsoft.ML.TensorFlow&version=3.0.1                

Microsoft.ML.TensorFlow contains ML.NET integration of TensorFlow.

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

NuGet packages (5)

Showing the top 5 NuGet packages that depend on Microsoft.ML.TensorFlow:

Package Downloads
Microsoft.ML.Vision

Microsoft.ML.Vision contains high level APIs for vision tasks like image classification.

FenixAlliance.ACL.Dependencies

Application Component for the Alliance Business Suite.

Deszolate.MachineLearning

Simple machine learning wrapper for Microsoft.ML

MLImageLib

Package Description

Test.Modules.ImageClassification

Package Description

GitHub repositories (4)

Showing the top 4 popular GitHub repositories that depend on Microsoft.ML.TensorFlow:

Repository Stars
dotnet/samples
Sample code referenced by the .NET documentation
Webreaper/Damselfly
Damselfly is a server-based Photograph Management app. The goal of Damselfly is to index an extremely large collection of images, and allow easy search and retrieval of those images, using metadata such as the IPTC keyword tags, as well as the folder and file names. Damselfly includes support for object/face detection.
microsoft/TailwindTraders-Backend
Tailwind Traders Backend Services
jeffprosise/ML.NET
Code samples utilizing Microsoft's ML.NET machine-learning library
Version Downloads Last updated
4.0.0-preview.24522.7 359 10/23/2024
4.0.0-preview.24378.1 2,114 7/29/2024
4.0.0-preview.24271.1 1,120 5/21/2024
4.0.0-preview.24162.2 1,475 3/13/2024
3.0.1 63,666 1/18/2024
3.0.0 18,595 11/27/2023
3.0.0-preview.23511.1 854 10/13/2023
3.0.0-preview.23266.6 9,650 5/17/2023
3.0.0-preview.22621.2 2,174 12/22/2022
2.0.1 94,745 2/1/2023
2.0.1-preview.22573.9 1,486 11/24/2022
2.0.0 46,618 11/8/2022
2.0.0-preview.22551.1 931 11/1/2022
2.0.0-preview.22313.1 6,611 6/14/2022
1.7.1 689,451 3/9/2022
1.7.0 92,364 11/9/2021
1.7.0-preview.final 484 10/22/2021
1.6.0 58,373 7/15/2021
1.5.5 84,323 3/4/2021
1.5.4 24,902 12/17/2020
1.5.2 68,748 9/11/2020
1.5.1 18,377 7/11/2020
1.5.0 30,164 5/26/2020
1.5.0-preview2 19,961 3/12/2020
1.5.0-preview 20,174 12/26/2019
1.4.0 143,218 11/5/2019
1.4.0-preview2 4,069 10/8/2019
1.4.0-preview 3,399 8/30/2019
1.3.1 11,315 8/6/2019
1.2.0 25,159 7/3/2019
0.13.0 5,561 6/4/2019
0.12.0 8,414 5/2/2019
0.12.0-preview 2,382 4/2/2019
0.11.0 3,626 3/6/2019
0.10.0 3,203 2/5/2019
0.9.0 2,106 1/8/2019
0.8.0 2,358 12/4/2018
0.7.0 3,638 11/6/2018
0.6.0 4,426 10/2/2018
0.5.0 3,035 9/5/2018