shamatar

from keras.layers import Recurrent
import keras.backend as K
from keras import activations
from keras import initializers
from keras import regularizers
from keras import constraints
from keras.engine import Layer
from keras.engine import InputSpec

seuliufeng

"""
Beam decoder for tensorflow

Sample usage:

```
from tf_beam_decoder import  beam_decoder

decoded_sparse, decoded_logprobs = beam_decoder(
    cell=cell,

vzhong

"""
                        backtracking    extended list   informed
Depth First Search:     y               y               n
Breadth First Search:   n               y               n
Hill Climbing           y               y               y
Beam Search:            y               y               y
"""

import heapq

udibr

# variation to https://github.com/ryankiros/skip-thoughts/blob/master/decoding/search.py

def keras_rnn_predict(samples, empty=empty, rnn_model=model, maxlen=maxlen):
    """for every sample, calculate probability for every possible label
    you need to supply your RNN model and maxlen - the length of sequences it can handle
    """
    data = sequence.pad_sequences(samples, maxlen=maxlen, value=empty)
    return rnn_model.predict(data, verbose=0)

def beamsearch(predict=keras_rnn_predict,

alexserver

RESTful API know-how

Motivation

I place my learning process in this document with 2 motives:

1. To have a quick guide whenever I lost the track of knowledge.
2. To share the knowledge with anyone wants to learn RESTful APIs

1. Before, some theory

alexserver

#!/bin/sh

# size of swapfile in megabytes
swapsize=4000

# does the swap file already exist?
grep -q "swapfile" /etc/fstab

# if not then create it
if [ $? -ne 0 ]; then

X4

Prerequisites:
==============
1. Raspbian
2. Raspberry Pi (2)

sudo apt-get update
sudo apt-get upgrade
cd

## Source: http://node-arm.herokuapp.com/

dasjoe

#!/bin/bash

DIR='/dev/disk/by-id/'
#DIR='/dev/disk/by-vdev/'
#DIR='/dev/disk/by-path/'

PREFIX='ata-*'
#PREFIX='pci-*'
#PREFIX='*'

frankbaele

module.exports = function (grunt) {
  "use strict";
  var neat = require('node-neat').includePaths;
  // Config...
  grunt.initConfig({
    pkg: grunt.file.readJSON('package.json'),
    connect: {
      server: {
        options: {
          port: 9001,

funkotron

#!/bin/bash
# Description: Using Docker (requires docker to be installed http://www.docker.io/gettingstarted/ ), spawn a postgresql instance and a dynamically configured treeio instance
# Also requires postgresql client tools http://www.postgresql.org/download/linux/ubuntu/
# Run chmod +x to make this file executable then run it: ./docker_create_treeio.sh
# Author: Adam Awan
# Email: [email protected]

# Set the port to forward for Tree.io
TREEIO_PORT="80"