| dataset | meta data | contents | with audio |
|---|---|---|---|
| 200DrumMachines | 7371 one-shots | yes | |
| AAM | onsets, pitches, instruments, melody instrument, keys, chords, tempo, beats | 3000 (artificial) tracks | yes |
| ACM_MIRUM | tempo | 1410 excerpts (60s) | yes |
| ACPAS | aligned audio and scores | 2189 performances of 497 scores | downloadable |
| AcousticBrainz-Genre | 15-31 genres with 265-745 subgenres | audio features for ove |
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| # Full example for my blog post at: | |
| # https://danijar.com/building-variational-auto-encoders-in-tensorflow/ | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import tensorflow as tf | |
| from tensorflow.examples.tutorials.mnist import input_data | |
| tfd = tf.contrib.distributions |
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| /* | |
| Placeholder for custom user CSS | |
| mainly to be overridden in profile/static/custom/custom.css | |
| This will always be an empty file in IPython | |
| */ | |
| /* set toolbar to hide by default */ | |
| .notebook_app #maintoolbar { |