ML.NET vs AForge.NET

ML.NET

ML.NET is an open source and cross-platform machine learning framework for .NET. (by dotnet)

AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc. (by andrewkirillov)

Machine Learning and Data Science

Source Code

aforgenet.com

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ML.NET		AForge.NET
	Project
17	Mentions	1
8,825	Stars	1,048
0.7%	Growth	-
8.9	Activity	0.0
7 days ago	Latest Commit	3 months ago
C#	Language	C#
MIT License	License	GNU General Public License v3.0 or later

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.

ML.NET

Posts with mentions or reviews of ML.NET. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-25.

ML.net image classification, poor GPU accuracy
1 project | /r/dotnet | 7 Mar 2023

You can direct your question to https://github.com/dotnet/machinelearning/issues. Perhaps it is already documented.
Building a File Analysis Dataset with Python
1 project | dev.to | 26 Feb 2023

Here I'm analyzing all projects in the src and test directories of the ML.NET repository. I chose to include these as separate paths because they represent two different groupings of projects in this repository.
Extracting git repository data with PyDriller
3 projects | dev.to | 25 Feb 2023

Important Note: looping over repository commits takes a long time for large repositories. It took 52 minutes to analyze the ML.NET repository this code example refers to, which had 2,681 commits at the time of analysis on February 25th, 2023.
Can we please be allowed to do machine learning object detection model training locally?
1 project | /r/dotnet | 22 Feb 2023
ML.NET: can Microsoft's machine learning be trusted?
1 project | dev.to | 3 Oct 2022

We checked the ML.NET 1.7.1 version. The source code of this project's version is available on GitHub.
Stable Diffusion converted to ONNX (Demo usage, optimized to CPU)
2 projects | /r/StableDiffusion | 28 Aug 2022
Why is there a lack of cool repos?
22 projects | /r/dotnet | 26 Jul 2022

machine learning? https://github.com/dotnet/machinelearning
what is the future of ML.NET?
3 projects | /r/dotnet | 4 Jul 2022

You can follow some of our plans by taking a look at our roadmap which we'll be updating shortly to more accurately reflect the areas we're investing in.
Does anyone actually use ML.NET?
5 projects | /r/dotnet | 21 Jun 2022

Re: ONNX, if you run into similar issues in the future, feel free to reach out in our GitHub repo or the ONNX Runtime repo and we'd be happy to help!
Requesting Senior Project Ideas
1 project | /r/dotnet | 18 Jan 2022

Good clarification, I think using something like ML.NET could be cool but I have some experience with Blazor that might be fun to use as well, I think generally performance monitoring or optimizing systems seems interesting to me, and I'm really open to other ideas as well. Let me know if any of that helps narrow my question down!

AForge.NET

Posts with mentions or reviews of AForge.NET. We have used some of these posts to build our list of alternatives and similar projects.

Looking to read an image and find a red rectangle.
1 project | /r/csharp | 8 Jun 2023

here is the code in case anybody has the same issue: utilizing AForge library C# - http://www.aforgenet.com/framework/

What are some alternatives?

When comparing ML.NET and AForge.NET you can also consider the following projects:

TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

Accord.NET

encog-dotnet-core

FaceRecognitionDotNet - The world's simplest facial recognition api for .NET on Windows, MacOS and Linux

Accord.NET Extensions

OpenCvSharp - OpenCV wrapper for .NET

Catalyst - 🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

Deedle - Easy to use .NET library for data and time series manipulation and for scientific programming

F# Data - F# Data: Library for Data Access