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The Accord.NET Framework is a complete framework for building machine learning, computer vision, computer audition, signal processing and statistical applications. Sample applications provide a fast start to get up and running quickly, and an extensive documentation helps fill in the details.

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Getting started

The easiest way to get started is through NuGet. Search for "Accord.NET" in the package manager, then chose to install the modules you are more likely interested. Because not all users will want to use, for example, audio or video processing capabilities in their projects, those have been written as separate modules.

How to use

Loading data

Matrices

Images

Sounds

Video

Manipulating matrices

Learning from input and output pairs

Finding similarity groups in data

Visualizing your results

Chart controls

Data-binding

Some framework objects can be data-bound to WPF or Windows Forms controls. Examples are all the statistical analysis classes (PCA, LDA, PLS, KPCA, ...), statistical distributions and hypothesis tests.

Specifying statistical distributions

Testing your hypothesis

Persisting models to disk