Machine learning made in a minute

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 an extensive online documentation helps fill in the details.

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Sample applications.

Sample applications help you start writing your applications quickly. Just get one of the sample applications that is closest to your goal, and start from there.

Create and test new learning algorithms with ease.

Strategy and template method patterns help you swap learning algorithms quickly. Create, build and compare different approaches without delving too deep in code. Check a list of works that have been made possible with the framework.

Ask your questions.

Stackoverflow is continuosly monitored for new questions containing the "Accord.NET" tag. Ask your new question and mark it with this tag, and it will be answered in a minute by the framework authors and the user community.