ericflo

"""
jQuery templates use constructs like:

    {{if condition}} print something{{/if}}

This, of course, completely screws up Django templates,
because Django thinks {{ and }} mean something.

Wrap {% verbatim %} and {% endverbatim %} around those
blocks of jQuery templates and this will try its best

bdarnell

# NOTE:  This code was extracted from a larger class and has not been
# tested in this form.  Caveat emptor.
import django.conf
import django.contrib.auth
import django.core.handlers.wsgi
import django.db
import django.utils.importlib
import httplib
import json
import logging

erikh

#!/usr/bin/env sh

##
# This is script with usefull tips taken from:
#   https://github.com/mathiasbynens/dotfiles/blob/master/.osx
#
# install it:
#   curl -sL https://raw.github.com/gist/2108403/hack.sh | sh
#

dangra

from scrapy.spider import BaseSpider
from twisted.internet import reactor, defer
from scrapy.http import Request

DELAY = 5 # seconds


class MySpider(BaseSpider):

    name = 'wikipedia'

mblondel

# (C) Mathieu Blondel, November 2013
# License: BSD 3 clause

import numpy as np


def ranking_precision_score(y_true, y_score, k=10):
    """Precision at rank k

    Parameters

ebenolson

"""
Functions to create network diagrams from a list of Layers.

Examples:

    Draw a minimal diagram to a pdf file:
        layers = lasagne.layers.get_all_layers(output_layer)
        draw_to_file(layers, 'network.pdf', output_shape=False)

    Draw a verbose diagram in an IPython notebook:

takluyver

# (c) Thomas Kluyver, 2016
# Use it under the MIT license

# This is fairly experimental. Use at your own risk.

import ast
from ast import Call, Attribute, Name, Load
import asyncio as asyncio_mod
#import astpp
from IPython.utils.text import indent

avostryakov

from lasagne import nonlinearities, init
from lasagne.layers.normalization import BatchNormLayer
from lasagne.layers.recurrent import Gate, Layer, MergeLayer, LSTMLayer
from lasagne.utils import unroll_scan

import numpy as np

import theano
import theano.tensor as T