craffel’s gists

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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craffel / draw_neural_net.py

Created January 10, 2015 04:59

Draw a neural network diagram with matplotlib!

	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])

craffel / gist:50a422f431350f0b3b09

Last active May 28, 2018 23:40

Faster pretty_midi Fluidsynth method

	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.

craffel / gist:a90a8baff0377e7f9542

Created June 8, 2015 20:54

Dynamic time warping in Theano

	'''
	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

craffel / whetlab_results.json

Created July 3, 2015 03:08

Hashing hyperparameter search result dump from Whetlab

This file has been truncated, but you can view the full file.

	{
	"description": "CQT no beats",
	"hypers": "{\"objective\": {\"hyper_dims\": {\"44672\": {\"bscale\": [0], \"bcenter\": [0]}, \"44673\": {\"bscale\": [1], \"bcenter\": [1]}, \"44674\": {\"bscale\": [2], \"bcenter\": [2]}, \"44675\": {\"bscale\": [3], \"bcenter\": [3]}, \"44676\": {\"bscale\": [4], \"bcenter\": [4]}, \"44677\": {\"bscale\": [5], \"bcenter\": [5]}, \"44678\": {\"bscale\": [6], \"bcenter\": [6]}}, \"nnet_parameters\": [{\"shape\": [7, 50], \"value\": \"eJwNlvc/FI4fx1FCwuejoRJJoSgpWsI7pOxZyPooojT4IDK+iRZKmRll5M7qzLM53hzHcZxZx4nO\\nqMgKDZ+sb//A65fn6/F8vb6Clzq888Cbknx/Jc+HwvcJPeVgp0k07ai6KUwJhwb3AlXbUTJ6UTaN\\nxUQVodpUv2Ui+SYOVI2mCPmycUNqDWGLJgHeeYYyv0TlQEr2S4N06Vo4Jra2+W79G0D/vrVfke0g\\npfbzzfCBbthy07Z/TO06Kscz6MaxHfiI97vQYXIfuEbUclUwmuDz/QslrtUsrPzVLksVHkS53Z61\\nRtIIe7W6j+jOEeG2uNf9F9JFmE31cNjBRcLFro2+vBJVKPD2qOzsQCOmUJWknlIG8JLLHe0Ht5tx\\nw5NqcpFfNxw3n7yVkYlQWEVQkCguwsHe8ZZDuaNYWnhya2MJwuhcxgaWTgvWRpNi/hlm4by9pg0h\\nmQrHTRP03YRJKK1bcErerQddRzkmPP8lwuUzEjsoLyqxcZ/ckxXjepTjFcyb+smBF2Of6s

craffel / Fast padding.ipynb

Created November 19, 2015 00:22

Faster 'same' mode convolutions in Lasagne, for even filter sizes too!

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craffel / get_live_uspop2002.py

Created December 2, 2015 19:30

Get liveness score for each entry in uspop2002

	"""
	Create a tab-separated value file for uspop2002 entries which includes each
	track's Echo Nest "loudness" score
	"""

	import pyen
	import os
	import time

	# Put your Echo Nest API key in a file called .echonest_key

craffel / clean_clean_midis.py

Last active April 24, 2016 23:34

Scripts used for generating the clean MIDI subset, as used in https://github.com/craffel/midi-dataset

	import os
	os.chdir('..')
	import sys
	sys.path.append(os.getcwd())
	import normalize_names
	import pickle

	with open('data/Clean MIDIs-md5_to_artist_title.pickle') as f:
	md5_to_artist_title = pickle.load(f)

craffel / mrr.py

Created January 19, 2016 02:47

Compute mean reciprocal rank between two sets of feature vectors

	def mean_reciprocal_rank(X, Y, indices, metric='hamming'):
	''' Computes the mean reciprocal rank of the correct match
	Assumes that X[n] should be closest to Y[n]
	Default uses hamming distance
	:parameters:
	- X : np.ndarray, shape=(n_examples, n_features)
	Data matrix in X modality
	- Y : np.ndarray, shape=(n_examples, n_features)
	Data matrix in Y modality
	- indices : np.ndarray

craffel / popcount_array.pyx

Last active October 11, 2022 20:48 — forked from aldro61/popcount_array.pyx

Popcount of a numpy array of integers of any dtype

	"""
	Functions for computing the population count (aka Hamming weight) of an array
	in-place using the built-in popcount routine.
	Works with any integer datatype 64 bit-width or smaller.
	Compile with gcc flag -mpopcnt
	Adapted from
	https://gist.github.com/aldro61/f604a3fa79b3dec5436a by Alexandre Drouin
	"""
	import numpy as np
	cimport numpy as np

Colin Raffel craffel