da-steve101

# this function is used for quantizing activations
def quantize( zr, k ): # zr => number to quantize, k => number of bits to use
    scaling = tf.cast( tf.pow( 2.0, k ) - 1, tf.float32 )
    return tf.round( scaling * zr )/scaling # round the number to the nearest quantize value

# this function applies quantization to activations
def shaped_relu( x, k = 1.0 ): # x => number to be quantized, k => number of bits to use
    act = tf.clip_by_value( x, 0, 1 ) # clip the activation between 0 and 1 to stop overflow issues
    quant = quantize( act, k ) # quantize the value
    return act  + tf.stop_gradient( quant - act ) # use the stop gradient trick

da-steve101

[MASTER]

# A comma-separated list of package or module names from where C extensions may
# be loaded. Extensions are loading into the active Python interpreter and may
# run arbitrary code
extension-pkg-whitelist=

# Add files or directories to the blacklist. They should be base names, not
# paths.
ignore=CVS

da-steve101

#! /usr/bin/python3

'''
deck = List[Set[Card]]

commands:
(d)iscard - discard the current infection rate of cards
(e)pidemic - input the epidemic card from the bottom
(r)emove - certain cards can remove cards from the discard deck. this command does this
(u)ndo - revert the last command if mistyped

da-steve101

#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

da-steve101

#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

da-steve101

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.common import exceptions

import time
from retry import retry
from chatterbot import ChatBot

da-steve101

Device configuration for Samsung Galaxy C5 (SM-C5010).

Basic	Specification List
CPU	Octa-core (8x2.2 GHz Cortex-A53 )
Chipset	Qualcomm MSM8953 Snapdragon 625
GPU	Adreno 506
Memory	4 GB
Shipped Android Version	6.0.1

da-steve101

#! /usr/bin/python

import dota2api
from dota2api.src.exceptions import APIError, APITimeoutError
import csv
from multiprocessing import Pool
import time
import sys

def getMatchInfo( api, matchId ):