swyoon

# source: https://stackoverflow.com/a/52672859/5554394

from IPython.display import clear_output
from matplotlib import pyplot as plt
import collections
%matplotlib inline

def live_plot(data_dict, figsize=(7,5), title=''):
    clear_output(wait=True)
    plt.figure(figsize=figsize)

swyoon

"""
A Python script for downloading all files under a folder in Google Drive.
Downloaded files will be saved at the current working directory.

This script uses the official Google Drive API (https://developers.google.com/drive).
As the examples in the official doc are not very clear to me,
so I thought sharing this script would be helpful for someone.

To use this script, you should first follow the instruction 
in Quickstart section in the official doc (https://developers.google.com/drive/api/v3/quickstart/python):

swyoon

sudo apt-get remove --purge vim vim-runtime vim-gnome vim-tiny vim-gui-common
 
sudo apt-get install liblua5.1-dev luajit libluajit-5.1 python-dev ruby-dev libperl-dev libncurses5-dev libatk1.0-dev libx11-dev libxpm-dev libxt-dev

#Optional: so vim can be uninstalled again via `dpkg -r vim`
sudo apt-get install checkinstall

sudo rm -rf /usr/local/share/vim /usr/bin/vim

cd ~

swyoon

import numpy as np
import tensorflow as tf

__author__ = "Sangwoong Yoon"

def np_to_tfrecords(X, Y, file_path_prefix, verbose=True):
    """
    Converts a Numpy array (or two Numpy arrays) into a tfrecord file.
    For supervised learning, feed training inputs to X and training labels to Y.
    For unsupervised learning, only feed training inputs to X, and feed None to Y.