Search Results for "edmonds-karp algorithm implementation in python"

This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important. More detailed information, other advanced features, and tips on usage/implementation can be found in the examples folder. Follow the basic...

This music player is supposed to be simple and all centered around an infinite intelligent queue (some other players call this PartyShuffle or DJ mode). You can manually add songs to it - but if you don't or the queue gets too short, it will automatically intelligently fill it with further songs. The intelligent queue decision currently is based on: * song ratings * context-based choices, e.g. related songs more likely Other features of this player: * open source, simplified BSD...

This is a fast C implementation of Arturo Camacho's SWIPE' pitch extraction algorithm. See the project homepage for more about the advantages of the SWIPE' algorithm. swipe-1.0.tar.gz contains the current source, which should compile quite neatly.