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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
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
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
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
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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