AForge.NET VS FsLab

Compare AForge.NET vs FsLab and see what are their differences.

AForge.NET

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)

FsLab

FsLab project templates - download as ZIP to get started! (by fslaborg)
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AForge.NET FsLab
1 -
1,052 4
- -
0.0 0.0
3 months ago about 6 years ago
C#
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.

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.

FsLab

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

We haven't tracked posts mentioning FsLab yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

Accord.NET

encog-dotnet-core

R Provider - Access R packages from F#

Accord.NET Extensions

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

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

Infer.NET - UAI 2015. Kernel-based just-in-time learning for expectation propagation

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