kohlmeier

#!/usr/bin/env python

from pandas import DataFrame, Series

import numpy as np
import math
import random
import copy

NaN_Flag = -1  # pandas uses np.nan, but that coerces ints to floats :(

marktheunissen

This playbook has been removed as it is now very outdated.

jkp

import struct
import SocketServer
from base64 import b64encode
from hashlib import sha1
from mimetools import Message
from StringIO import StringIO

class WebSocketsHandler(SocketServer.StreamRequestHandler):
    magic = '258EAFA5-E914-47DA-95CA-C5AB0DC85B11'

brandonb927

#!/bin/sh

###
# SOME COMMANDS WILL NOT WORK ON macOS (Sierra or newer)
# For Sierra or newer, see https://github.com/mathiasbynens/dotfiles/blob/master/.macos
###

# Alot of these configs have been taken from the various places
# on the web, most from here
# https://github.com/mathiasbynens/dotfiles/blob/5b3c8418ed42d93af2e647dc9d122f25cc034871/.osx

honnibal

"""A stripped-down MLP example, using Theano.

Based on the tutorial here: http://deeplearning.net/tutorial/mlp.html

This example trims away some complexities, and makes it easier to see how Theano works.

Design changes:

* Model compiled in a distinct function, so that symbolic variables are not in run-time scope.
* No classes. Network shown by chained function calls.

5agado

mvanga

import uuid
import json


# Returns a python dictionary given a file containing a JSON-based
# component definition. Every definition *must* contain a 'type'
# and 'schema' field inside a top-level dictionary. Here is an
# example of a simple schema file that defines a 'meta' component
# containing a 'name' field.
#