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Machine learning, computer vision, statistics and computing for .NET
The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and extensive documentation and a wiki help fill in the details.
Wienert S, Heim D, Kotani M, Lindequist B, Stenzinger A, Ishii M, Hufnagl P, Beil M, Dietel M, Denkert C, Klauschen F. CognitionMaster: an object-based image analysis framework. Diagn Pathol 2013, 8:34
XIPL is a simple image processing library for Microsoft's XNA Game Studio framework. All image processing routines are coded in HLSL as pixel shaders and executed at amazing speed thanks to the GPU's massive parallel architecture.
ScienceNET is a open source library written in C# which aims to provide a self contained clean .NET framework for neural networks, genetic algorithms, optimization, image processing and for other domains of a computational science.
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