vpj

'''
The code is inspired from François Chollet's answer to the following quora question[1] and distributed tensorflow tutorial[2].

It runs the Keras MNIST mlp example across multiple servers.

This sample code runs multiple processes on a single host. It can be configured 
to run on multiple hosts simply by chaning the host names given in *ClusterSpec*.

Training the model:

Feynman27

import tensorflow as tf

from keras import backend as K
from keras.layers import Conv2D, MaxPooling2D, Flatten
from keras.layers import Input, LSTM, Embedding, Dense
from keras.models import Model, Sequential
from keras.applications import InceptionV3, VGG19
from keras.layers import TimeDistributed

import numpy as np

mikefromit

markdown.py

@environmentfilter
def markdown(env, value):
    """
    Markdown filter with support for extensions.
    """
    try:
        import markdown as md

claymcleod

import sys,os
import curses

def draw_menu(stdscr):
    k = 0
    cursor_x = 0
    cursor_y = 0

    # Clear and refresh the screen for a blank canvas
    stdscr.clear()

bwhite

"""Information Retrieval metrics

Useful Resources:
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
http://www.nii.ac.jp/TechReports/05-014E.pdf
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
Learning to Rank for Information Retrieval (Tie-Yan Liu)
"""
import numpy as np