A repository of machine learning examples written in C++ using the rapidlib and other libraries.
I created this repo as a standalone repo that you should be able to compile without neededing any other stuff.
RapidLib was created by various folks in the EU funded RapidMix project which involved Goldsmiths and IRCAM amongst others.
I did not work on that project directly, but do work closely with folks involved in it
Here are some links about RapidLib/ Mix:
http://rapidmix.goldsmithsdigital.com/
https://github.com/mzed/ofxRapidLib
It uses cmake for the build system.
The files in the lib folder are written by other people. Here is a list of the authors:
- baseModel.h: * @author Michael Zbyszynski
- BayesianFilter.h:// author: Jules Francoise
- BayesianFilter.h: @author Jules Francoise - Ircam -
- BayesianFilter.h: @author Jules Francoise - Ircam -
- dtw.h: * @author Michael Zbyszynski
- fastDTW.h: * @author Michael Zbyszynski
- filter_utilities.h:// author: Jules Francoise
- json-forwards.h:The author (Baptiste Lepilleur) explicitly disclaims copyright in all
- json.h:The author (Baptiste Lepilleur) explicitly disclaims copyright in all
- rapidLib.h: * @author Michael Zbyszynski
- rapidStream.h: * @author Michael Zbyszynski
- regression.h: * @author Michael Zbsyzynski
- searchWindow.h: * @author Michael Zbyszynski
- seriesClassification.h: * @author Michael Zbyszynski
- svmClassification.h: * @author Michael Zbyszynski
- trainingExample.h: * @author Michael Zbyszynski
- warpPath.h: * @author Michael Zbyszynski