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...

... license * simple * support of most important sound formats. just uses FFmpeg * music database (optional) * audio volume normalization. own ReplayGain implementation * gapless playback * Last.fm scrobbling * AcoustID fingerprint * imports iTunes song ratings

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.