StevenSong

#!/bin/python
#
# usage:
# python dispatch.py \
#     --gpus 0-3 \
#     --bootstraps 0-9 \
#     --scripts \
#         train-simple.sh \
#         train-varied.sh \
#         train-deeper.sh

StevenSong

#!/bin/bash

# Log files are stored in subdirectories of current directly: ./*/log*
# Log files contain output like: ROC AUC * {label} * = 0.NNN
# Where the AUC for a label on the test set is the last ocurrence of the above fragment in the file
#
# For example, in an experiment to predict "death", our results are in a 
# folder "experiment" with 10 subfolders "trial_N", where N is the trial number.
# Within each "trial_N" subfolder, there is a file "log" with output lines:
#

StevenSong

# Launch jupyter notebook in a new tmux session for Colab to connect to
# https://research.google.com/colaboratory/local-runtimes.html

SESSION=colab

tmux new -d -s $SESSION
tmux send-keys -t $SESSION "jupyter notebook \
  --NotebookApp.allow_origin='https://colab.research.google.com' \
  --port=8888 \
  --NotebookApp.port_retries=0 \

StevenSong

import tensorflow as tf
b = tf.constant(21306806, dtype=tf.float32)
print((1+b)-b)
print(1+(b-b))

StevenSong

import os
import re
import gzip
import hashlib
from tqdm import tqdm
from bs4 import BeautifulSoup, SoupStrainer

fnames = []
for fname in os.listdir('PubMed'):
    if fname.endswith('.xml'):

StevenSong

#!/usr/bin/env python

# eog not bundled with your distro?
# no sudo access?
# do it all with python!
# easiest to use with miniconda env with matplotlib

import sys
import matplotlib.pyplot as plt
from PIL import Image