Accord.NET Framework

The Accord.NET Framework is a C# framework extending the excellent AForge.NET Framework with new tools and libraries. Accord.NET provides many algorithms for many topics in mathematics, statistics, machine learning, artificial intelligence and computer vision. It includes several methods for statistical analysis, such as Principal Component Analysis, Linear Discriminant Analysis, Partial Least Squares, Kernel Principal Component Analysis, Kernel Discriminant Analysis, Logistic and Linear Regressions and Receiver-Operating Curves. It also includes machine learning topics such as (Kernel) Support Vector Machines, Bayesian regularization for Neural Network training, RANSAC, K-Means, Gaussian Mixture Models and Discrete and Continuous Hidden Markov Models. The imaging and computer vision libraries includes projective image blending, homography estimation, the Camshift object tracker and the Viola-Jones object detector.


The framework is comprised by libraries and sample applications demonstrating their features. Some of the libraries include:

  • Accord.Math - General math and matrix library with numerical decompositions and related linear algebra methods;
  • Accord.Statistics - library with statistical analysis and related tools;
  • Accord.Imaging - extension to the AForge.NET Imaging library with new filters and routines;
  • Accord.Neuro - extension to the AForge.NET Neuro library with other learning algorithms;
  • Accord.MachineLearning - extension to AForge's machine learning library with SVMs and related techniques;
  • Accord.Vision - extension to the AForge.NET Vision library with realtime object detectors and trackers;
  • Accord.Audio - experimental library with signal filters and audio processing routines.

Note: In order to use Accord.NET, you must have AForge.NET already installed.


For the latest release, please visit the download section. If you want to report an issue, please refer to the issue tracker. For a complete listing of framework features, please see the feature list. For a list the sample applications demonstrating the use of the framework, see sample applications list.


Licensing

The framework is released under the LGPL. Therefore it can be used in proprietary applications with minor restrictions. The software comes, however, with absolutely no guarantees, so use it at your own risk. Please see the full license file for details. If you find this software useful in your research, and you would like to help sharing it, please add a reference to this site in your work! The preferred style of citation is:


Please note that this project is in no way affiliated with AForge.NET Framework nor AForge.NET authors or contributors have any affiliation with this project. The extensions given by this framework and the framework itself are released under a LGPL license. This software is provided "as is" and any express or implied warranties, including, but no limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall the authors or the contributors of this software be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage.