monikkinom

#Source code with the blog post at http://monik.in/a-noobs-guide-to-implementing-rnn-lstm-using-tensorflow/
import numpy as np
import random
from random import shuffle
import tensorflow as tf

# from tensorflow.models.rnn import rnn_cell
# from tensorflow.models.rnn import rnn

NUM_EXAMPLES = 10000

FelixWeis

{
  "OP_DUP OP_HASH160 20 OP_EQUALVERIFY OP_CHECKSIG": 319721182,
  "OP_HASH160 20 OP_EQUAL": 10083919,
  "65 OP_CHECKSIG": 887766,
  "OP_RETURN": 288521,
  "OP_1 33 33 33 OP_3 OP_CHECKMULTISIG": 224438,
  "": 219175,
  "OP_1 33 33 OP_2 OP_CHECKMULTISIG": 206415,
  "33 OP_CHECKSIG": 101306,
  "OP_RETURN 40": 65287,

tolnem

#!/usr/bin/python

import rtmidi, time

buttons = {
    58: 'track_left',
    59: 'track_right',
    46: 'cycle',
    60: 'marker_set',
    61: 'marker_left',

MHenderson

# sudoku.py

from __future__ import print_function

import random, itertools, string, operator, copy

import constraint, networkx, sympy, glpk

####################################################################
# Basic parameters

reimund

"""
	Simple xml serializer.

	@author Reimund Trost 2013

	Example:
	 
	mydict = {
		'name': 'The Andersson\'s',
		'size': 4,