Accord.NET
Curated by SignalOpen-source machine learning framework for building applications
Overview
Accord.NET is a .NET framework comprised of a library of machine learning algorithms. It is used for implementation in computer vision, audio recognition, predictive analytics, computer audition, signal processing, and more. The algorithms are written in C# and are primarily used for classification, clustering, imaging, regressions, distributions, hypothesis tests, and more. It is an open source software and can be used on Microsoft Windows, Xamarin, Unity3D, Windows Store applications, Linux or mobile.
Key facts
- Founded
- 2008
- Headquarters
- Grenoble, France
- Stage
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- Industry
- High Technology
Business model
- 10 products and services
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