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Accord.NET

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Open-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

Business model

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About Accord.NET

What does Accord.NET do?

Accord.NET is a .NET framework comprised of a library of machine learning algorithms.

Where is Accord.NET headquartered?

Accord.NET is headquartered in Grenoble, France.

When was Accord.NET founded?

Accord.NET was founded in 2008.

Which sector is Accord.NET in?

Accord.NET operates in High Technology.

Who are Accord.NET's competitors?

Companies similar to Accord.NET include Nino Robotics, Oxania, and Ukpik.