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Machine learning, computer vision, statistics and general scientific computing for .NET
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branch: development


 The Accord.NET Framework

  The Accord.NET Framework provides machine learning, mathematics, statistics,
  computer vision, computer audition, and several scientific computing related
  methods and techniques to .NET. The project extends the popular AForge.NET 
  Framework providing a more complete scientific computing environment.
  The GitHub repository at is the official 
  home of the project after release 2.10 was finished. As such, new releases will 
  only be made available on this repository.


 Installing the framework

0) Download the framework through NuGet:

   or, alternatively, perform a manual install by following
   the steps described below.

1) Download the AForge.NET Framework 2.2.5 from

2) Download the Accord.NET Framework from

3) Install both frameworks as described in the Getting Started Guide
4) If you used the automated installers, the framework binaries
   should already be available in the Add Reference dialog from
   Visual Studio. If you installed using the zip packages, you'll
   need to add references manually to your projects.
5) Upon installation, several sample applications will be available
   by default at
     C:\Program Files (x86)\Accord.NET\Framework\Samples
   You can open the Samples.sln solution on Visual Studio to check
   the sample applications for examples. Complete documentation is
   also available online at
 Obtaining support and documentation

1) Check the reference manual at:
2) Visit the discussion group at:!forum/accord-net

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