MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

wookayin

# use the following snippet in your ipython notebook shell
import argparse
import tensorflow as tf

tf.app.flags.FLAGS = tf.python.platform.flags._FlagValues()
tf.app.flags._global_parser = argparse.ArgumentParser()

application2000

These commands are based on a askubuntu answer http://askubuntu.com/a/581497
To install gcc-6 (gcc-6.1.1), I had to do more stuff as shown below.
USE THOSE COMMANDS AT YOUR OWN RISK. I SHALL NOT BE RESPONSIBLE FOR ANYTHING.
ABSOLUTELY NO WARRANTY.

If you are still reading let's carry on with the code.

sudo apt-get update && \
sudo apt-get install build-essential software-properties-common -y && \
sudo add-apt-repository ppa:ubuntu-toolchain-r/test -y && \

shagunsodhani

Key-Value Memory Networks for Directly Reading Documents

Introduction

• Knowledge Bases (KBs) are effective tools for Question Answering (QA) but are often too restrictive (due to fixed schema) and too sparse (due to limitations of Information Extraction (IE) systems).
• The paper proposes Key-Value Memory Networks, a neural network architecture based on Memory Networks that can leverage both KBs and raw data for QA.
• The paper also introduces MOVIEQA, a new QA dataset that can be answered by a perfect KB, by Wikipedia pages and by an imperfect KB obtained using IE techniques thereby allowing a comparison between systems using any of the three sources.
• Link to the paper.

Related Work

dalgu90

import sys
CAFFE_ROOT = '../../'
sys.path.insert(0, CAFFE_ROOT + 'python/')
import caffe
import numpy as np

if len(sys.argv) != 3:
    print "Usage: python protomean_to_npy.py proto.mean out.npy"
    sys.exit()

gyglim

"""Simple example on how to log scalars and images to tensorboard without tensor ops.

License: BSD License 2.0
"""
__author__ = "Michael Gygli"

import tensorflow as tf
from StringIO import StringIO
import matplotlib.pyplot as plt
import numpy as np

markus-beuckelmann

#!/usr/bin/env python
# -*- coding: UTF-8 -*-

# Roughly based on: http://stackoverflow.com/questions/11443302/compiling-numpy-with-openblas-integration

from __future__ import print_function

import numpy as np
from time import time

dylankilkenny

import pandas as pd
import requests
import json

def getPushshiftData(after, sub):
    url = 'https://api.pushshift.io/reddit/search/submission?&size=1000&after='+str(after)+'&subreddit='+str(sub)
    r = requests.get(url)
    data = json.loads(r.text)
    return data['data']