Description:

Accord.NET Framework is a C# framework which extends the excellent AForge.NET Framework with new tools and libraries.

The framework is comprised by libraries and sample applications demonstrating their features. Some of the libraries include:

Accord.Math - General math and matrix library with numerical decompositions and related linear algebra methods; Accord.Statistics - library with statistical analysis and related tools; Accord.Imaging - extension to the AForge.NET Imaging library with new filters and routines; Accord.Neuro - extension to the AForge.NET Neuro library with new learning algorithms; Accord.MachineLearning - extension to AForge's machine learning library with SVMs and related techniques; Accord.Vision - extension to the AForge.NET Vision library with realtime object detectors and trackers; Accord.Audio - experimental library with filters and audio processing routines.

For a complete listing of framework features, please see the feature list at http://accord-net.origo.ethz.ch/wiki/features.

Changes to previous version:

• Adding Non-Negative Matrix Factorization, Continuous density Hidden Markov Models and Gaussian Mixture Models;
• Heavy work on documentation.

BibTeX Entry: Download

Supported Operating Systems: Linux, Windows

Data Formats: Agnostic

Tags: Svm, Kernel Methods, Algorithms, Classifiers, Statistics, Clustering Algorithm, Probability Estimation, Discriminant Analysis, Wavelet Transform, Principal Component Analysis, Algebra, Fourier Transfo

Archive: download here

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