Microsoft.ML.TensorFlow.Redist 0.5.0 Prefix Reserved

There is a newer version of this package available.
See the version list below for details.
Install-Package Microsoft.ML.TensorFlow.Redist -Version 0.5.0
dotnet add package Microsoft.ML.TensorFlow.Redist --version 0.5.0
<PackageReference Include="Microsoft.ML.TensorFlow.Redist" Version="0.5.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.ML.TensorFlow.Redist --version 0.5.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Microsoft.ML.TensorFlow.Redist, 0.5.0"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install Microsoft.ML.TensorFlow.Redist as a Cake Addin
#addin nuget:?package=Microsoft.ML.TensorFlow.Redist&version=0.5.0

// Install Microsoft.ML.TensorFlow.Redist as a Cake Tool
#tool nuget:?package=Microsoft.ML.TensorFlow.Redist&version=0.5.0
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Microsoft.ML.TensorFlow.Redist contains the TensorFlow C library version 1.10.0 redistributed as a NuGet package.

  • .NETStandard 2.0

    • No dependencies.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on Microsoft.ML.TensorFlow.Redist:

Package Downloads

Package Description

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on Microsoft.ML.TensorFlow.Redist:

Repository Stars
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, and face-recognition.
Version Downloads Last updated
0.14.0 44,219 7/3/2019
0.13.0 5,549 6/4/2019
0.12.0 6,159 5/2/2019
0.12.0-preview 2,416 4/2/2019
0.11.0 3,728 3/6/2019
0.10.0 52,345 2/5/2019
0.9.0 1,729 1/9/2019
0.8.0 2,758 12/4/2018
0.7.0 22,225 11/6/2018
0.6.0 3,609 10/2/2018
0.5.0 2,382 9/5/2018