Colin Raffel craffel

## gist:a90a8baff0377e7f9542
'''
Dynamic time warping implementation in Theano

See also
https://github.com/astanway/theano-dtw
https://github.com/danielrenshaw/TheanoBatchDTW
'''

import theano
import theano.tensor as T

## gist:50a422f431350f0b3b09
import tempfile
import subprocess
import os
import pretty_midi
import librosa

def fast_fluidsynth(m, fs):
    '''
    Faster fluidsynth synthesis using the command-line program
    instead of pyfluidsynth.

## draw_neural_net.py
import matplotlib.pyplot as plt

def draw_neural_net(ax, left, right, bottom, top, layer_sizes):
    '''
    Draw a neural network cartoon using matplotilb.

    :usage:
        >>> fig = plt.figure(figsize=(12, 12))
        >>> draw_neural_net(fig.gca(), .1, .9, .1, .9, [4, 7, 2])


## pretty_midi chiptunes.ipynb

      
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                craffel
                / pretty_midi chiptunes.ipynb
            
            
              Last active
              October 24, 2015 00:45
            
              
                Functions for drum synthesis, arpeggiation and chiptunes synthesis in pretty_midi. View here: http://nbviewer.ipython.org/gist/craffel/3eb7513d4540f4acee93
              
          
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	'''
	Dynamic time warping implementation in Theano

	See also
	https://github.com/astanway/theano-dtw
	https://github.com/danielrenshaw/TheanoBatchDTW
	'''

	import theano
	import theano.tensor as T
	import tempfile
	import subprocess
	import os
	import pretty_midi
	import librosa

	def fast_fluidsynth(m, fs):
	'''
	Faster fluidsynth synthesis using the command-line program
	instead of pyfluidsynth.
	import matplotlib.pyplot as plt

	def draw_neural_net(ax, left, right, bottom, top, layer_sizes):
	'''
	Draw a neural network cartoon using matplotilb.

	:usage:
	>>> fig = plt.figure(figsize=(12, 12))
	>>> draw_neural_net(fig.gca(), .1, .9, .1, .9, [4, 7, 2])