The Accord.NET Framework
http://accord-net.github.io
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 will be the future official home of the project as soon
as the release 2.10 is completed. For the time being, commits are being simply
replicated from the Google Code repository; but the plan is to do the inverse
and later keep the Subversion repository just as a replication of Git.
- http://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://code.google.com/p/accord/downloads/list
3) Install both frameworks as described in the Getting Started Guide
https://code.google.com/p/accord/wiki/GettingStarted?tm=6
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
http://accord-net.github.io/docs/Index.html
Obtaining support and documentation
-----------------------------------
1) Check the reference manual at: http://accord-net.github.io/docs/Index.html
2) Visit the discussion group at: https://groups.google.com/forum/#!forum/accord-net