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 over 2000000 songs | no |
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# variation to https://github.com/ryankiros/skip-thoughts/blob/master/decoding/search.py | |
def keras_rnn_predict(samples, empty=empty, rnn_model=model, maxlen=maxlen): | |
"""for every sample, calculate probability for every possible label | |
you need to supply your RNN model and maxlen - the length of sequences it can handle | |
""" | |
data = sequence.pad_sequences(samples, maxlen=maxlen, value=empty) | |
return rnn_model.predict(data, verbose=0) | |
def beamsearch(predict=keras_rnn_predict, |
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/** | |
* Base contract that all upgradeable contracts should use. | |
* | |
* Contracts implementing this interface are all called using delegatecall from | |
* a dispatcher. As a result, the _sizes and _dest variables are shared with the | |
* dispatcher contract, which allows the called contract to update these at will. | |
* | |
* _sizes is a map of function signatures to return value sizes. Due to EVM | |
* limitations, these need to be populated by the target contract, so the | |
* dispatcher knows how many bytes of data to return from called functions. |
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import os | |
import librosa | |
import matplotlib | |
import matplotlib.pyplot as plt | |
matplotlib.rcParams['svg.fonttype'] = 'none' | |
import numpy as np | |
from scipy.io.wavfile import read as readwav | |
# Constants |
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const crypto = require('crypto'); | |
const base64url = require('base64url'); | |
const cbor = require('cbor'); | |
const asn1 = require('@lapo/asn1js'); | |
const jsrsasign = require('jsrsasign'); | |
/* Android Keystore Root is not published anywhere. | |
* This certificate was extracted from one of the attestations | |
* The last certificate in x5c must match this certificate | |
* This needs to be checked to ensure that malicious party wont generate fake attestations |
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# Install and load required packages | |
install.packages("needs") | |
library(needs) | |
needs(tidyverse, magrittr, animation, pdftools, png, scales) | |
# Function that extracts data from Google Mobility PDFs | |
process_google_mobility <- function(country_code, start_date, end_date){ | |
# Convert first page of PDF into high-res PNG | |
pdf_convert(paste0("https://www.gstatic.com/covid19/mobility/",end_date,"_",country_code,"_Mobility_Report_en.pdf"), format = "png", pages = 1, dpi = 300, filenames = "IMG1.png") |