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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. | |
# |
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"""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. |
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#!/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 |
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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' |
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This playbook has been removed as it is now very outdated. |
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#!/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 :( |