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Machine learning, computer vision, statistics and general scientific computing for .NET
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The Accord.NET Framework http:https://accord-framework.net 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. This GitHub repository is the official home of the project after release 2.10 was finished. New releases will only be made available on this repository, but the code will also bt replicated in the Google Code repository for those who still would like to use the SVN repository instead. - http:https://code.google.com/p/accord/ Installing the framework ------------------------ 1) Download the AForge.NET Framework 2.2.5 from https://code.google.com/p/aforge/downloads/list 2) Download the Accord.NET Framework from https://github.com/accord-net/framework/releases 3) Install both frameworks as described in the Getting Started Guide http:https://accord-framework.net/get-started.html 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 http:https://accord-framework.net/docs/Index.html Obtaining support and documentation ----------------------------------- 1) Check the reference manual at: http:https://accord-framework.net/docs/Index.html 2) Visit the discussion group at: https://groups.google.com/forum/#!forum/accord-net
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