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# in zenodo ui create a deposition. get the id | |
curl -H "Accept: application/json" -H "Authorization: Bearer $TOKEN" "https://www.zenodo.org/api/deposit/depositions/$DEPOSITION" | |
# get the bucket id from above | |
curl --progress-bar -o /dev/null --upload-file ./$FILE https://www.zenodo.org/api/files/$BUCKET/$FILE?access_token=$TOKEN |
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import numpy as np | |
import tensorflow as tf | |
from tensorflow.keras.datasets import mnist | |
from tensorflow.keras.utils import to_categorical | |
from tensorflow.keras.models import Sequential | |
from tensorflow.keras.layers import Dense, Activation, Conv2D, Flatten | |
from tensorflow.keras.optimizers import RMSprop | |
# download the mnist to the path '~/.keras/datasets/' if it is the first time to be called | |
# X shape (60,000 28x28), y shape (10,000, ) |
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import numpy as np | |
import panel as pn | |
import holoviews as hv | |
hv.extension("bokeh") | |
# hv.extension('matplotlib') | |
from holoviews.streams import Stream, Params | |
from scipy.io import wavfile | |
from scipy.signal import spectrogram | |
rate, data = wavfile.read('/filepath.wav') |
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#!/usr/bin/env bash | |
### | |
# NB: You probably don't want this gist any more. | |
# Instead, use this version from `fastsetup`: | |
# https://github.com/fastai/fastsetup/blob/master/setup-conda.sh | |
### | |
set -e | |
cd |
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