gpiancastelli

import oauth2 as oauth
import urlparse

url = 'http://www.goodreads.com'
request_token_url = '%s/oauth/request_token/' % url
authorize_url = '%s/oauth/authorize/' % url
access_token_url = '%s/oauth/access_token/' % url

consumer = oauth.Consumer(key='Your-GoodReads-Key',
                          secret='Your-GoodReads-Secret')

jonathonbyrdziak

# ------------------------------------------------------------------------------
# 
# Curtousy of the Magento Support Center
# http://magentosupport.help/what-are-expires-headers-and-how-do-i-implement-them/
#
# ------------------------------------------------------------------------------


# ------------------------------------------------------------------------------
# | Mod Caching via Apache                                                     |

Newmu

"""
The MIT License (MIT)

Copyright (c) 2015 Alec Radford

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is

Hello1024

#!/bin/bash

# Run this on This AMI on AWS:
# https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:ami=ami-b36981d8

# You should get yourself a fully working GPU enabled tensorflow installation.

cd ~

# grab cuda 7.0

nikitakit

"""
Beam decoder for tensorflow

Sample usage:

```
from tf_beam_decoder import  beam_decoder

decoded_sparse, decoded_logprobs = beam_decoder(
    cell=cell,

ericjang

def sample_gumbel(shape, eps=1e-20): 
  """Sample from Gumbel(0, 1)"""
  U = tf.random_uniform(shape,minval=0,maxval=1)
  return -tf.log(-tf.log(U + eps) + eps)

def gumbel_softmax_sample(logits, temperature): 
  """ Draw a sample from the Gumbel-Softmax distribution"""
  y = logits + sample_gumbel(tf.shape(logits))
  return tf.nn.softmax( y / temperature)

kevinduh

#!/usr/bin/env python

import theano
import theano.tensor as T
import numpy as np
import sys


def create_ngram_data(input_file, ngram_size):
    '''Reads input_file and returns a character ngram dataset

kevinduh

import mxnet as mx
import numpy as np

## Example of Gumbel-softmax ##

## user settings
batch_size = 2
cardinality = 3
num_samples = 5
temperature = 1.0