FaceRecognitionDotNet VS machinelearning-samples

Compare FaceRecognitionDotNet vs machinelearning-samples and see what are their differences.

machinelearning-samples

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET. (by dotnet)
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FaceRecognitionDotNet machinelearning-samples
1 4
1,083 4,336
- 0.6%
0.0 3.7
12 months ago 7 days ago
C# PowerShell
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

FaceRecognitionDotNet

Posts with mentions or reviews of FaceRecognitionDotNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-19.

machinelearning-samples

Posts with mentions or reviews of machinelearning-samples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-21.
  • Is data analysis dying?
    1 project | /r/cscareerquestionsEU | 13 Nov 2022
    I kinda have to agree, just take a look at where Microsoft ML.NET is headed: https://github.com/dotnet/machinelearning-samples
  • YoloV5 output format
    1 project | /r/computervision | 26 Jul 2022
    I used Netron to inspect the onnx file and the output is named "output" and the type if float32[1,25200,6]. I was using a tutorial I found here but it's based on Tiny YoloV2 which is says has an output of "None x 125 x 13 x 13" so I don't know if I can apply the same logic here. In case it matters, my model only has a single label/class.
  • What can you do in ML.NET with C#?
    2 projects | dev.to | 21 Apr 2022
    In the meantime, I recommend looking into Microsoft's documentation on ML.NET for additional details or checking out their ML.NET samples on GitHub
  • ML/Image Classification/Face recognition on M1 Mac?
    3 projects | /r/dotnet | 19 Jun 2021

What are some alternatives?

When comparing FaceRecognitionDotNet and machinelearning-samples you can also consider the following projects:

ML.NET - ML.NET is an open source and cross-platform machine learning framework for .NET.

blazor-ml - Example combining Blazor with ML.NET

ML.NET-Auto-ML-ESRB-Rating-Classification - Classifying Game ESRB Ratings using ML.NET Auto ML

Unity-ARFoundation-echo3D-demo-Face-Change - Simple face change demo with Unity, AR Foundation, and echo3D

SkiaSharp - SkiaSharp is a cross-platform 2D graphics API for .NET platforms based on Google's Skia Graphics Library. It provides a comprehensive 2D API that can be used across mobile, server and desktop models to render images.

OpenAI-API-dotnet - An unofficial C#/.NET SDK for accessing the OpenAI GPT-3 API

Uno Platform - Build Mobile, Desktop and WebAssembly apps with C# and XAML. Today. Open source and professionally supported.

OpenAI.Net - OpenAI library for .NET

Jaya - Cross platform file manager application for Windows, Mac and Linux operating systems. (planned mobile support)

Random-Face-Generator - A Cross-Platform(Web, Android, iOS, Linux and Macos) app to Generate Faces of People (These people don't actually exist) made using Flutter.