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@jaikumarm
jaikumarm / generate_trials_to_calculate.ipynb
Last active May 25, 2019
generate_trials_to_calculate.ipynb
View generate_trials_to_calculate.ipynb
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@jaikumarm
jaikumarm / settings.json
Last active Mar 12, 2018
post download auto unrar script for transmission
View settings.json
"script-torrent-done-enabled": true,
"script-torrent-done-filename": "/path/to/transmission_unrar.sh",
View postgres_backup.py
#!/usr/bin/env python
#mostly based off https://gist.github.com/sconts/7394525
# tested on ubuntu 16.04 with python 3.6, postgresql server and client ver 9.6
import argparse
import subprocess
import os
import sys
import time
def parse_args():
@jaikumarm
jaikumarm / timeseries_cnn.py
Created Apr 17, 2017 — forked from jkleint/timeseries_cnn.py
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
View timeseries_cnn.py
#!/usr/bin/env python
"""
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
"""
from __future__ import print_function, division
import numpy as np
from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
from keras.models import Sequential
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