claymcleod

Keybase proof

I hereby claim:

• I am claymcleod on github.
• I am clmcleod (https://keybase.io/clmcleod) on keybase.
• I have a public key ASAq3m8EC04REjVlhiiWoN_TyW6Exl2ZpR3387VQewzG4go

To claim this, I am signing this object:

claymcleod

#!/bin/bash

useage() {
  printf "\n\e[1;4mAscii Escape Code Helper Utility\e[m\n\n"
  printf "  \e[1mUseage:\e[m colors.sh [-|-b|-f|-bq|-fq|-?|?] [start] [end] [step]\n\n"
  printf "The values for the first parameter may be one of the following:\n\n"
  printf "  \e[1m-\e[m  Will result in the default output.\n"
  printf "  \e[1m-b\e[m This will display the 8 color version of this chart.\n"
  printf "  \e[1m-f\e[m This will display the 256 color version of this chart using foreground colors.\n"
  printf "  \e[1m-q\e[m This will display the 256 color version of this chart without the extra text.\n"

claymcleod

import subprocess


def cmd(line):
    complete_cmd = subprocess.run(
        line, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
    return {'stdout': complete_cmd.stdout, 'stderr': complete_cmd.stderr}


print(cmd("echo 'hello, world'"))

claymcleod

# Setup

import os
import sys
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.preprocessing.image import ImageDataGenerator
from keras.layers.advanced_activations import Quorum
from keras.datasets import mnist

claymcleod

# Setup

import os
import sys
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.preprocessing.image import ImageDataGenerator
from keras.layers.advanced_activations import Quorum
from keras.datasets import cifar100

claymcleod

import sys
import numpy as np

from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.layers.advanced_activations import Quorum
from keras.datasets import mnist
from keras.utils import np_utils
from keras.activations import relu

claymcleod

#! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright © 2016 Clay L. McLeod <clay.l.mcleod@gmail.com>
#
# Distributed under terms of the MIT license.

from __future__ import print_function

import theano

claymcleod

import sys,os
import curses

def draw_menu(stdscr):
    k = 0
    cursor_x = 0
    cursor_y = 0

    # Clear and refresh the screen for a blank canvas
    stdscr.clear()

claymcleod

#! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# This file presents an interface for interacting with the Playstation 4 Controller
# in Python. Simply plug your PS4 controller into your computer using USB and run this
# script!
#
# NOTE: I assume in this script that the only joystick plugged in is the PS4 controller.
#       if this is not the case, you will need to change the class accordingly.
#

claymcleod

import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler, LabelEncoder

df = pd.read_csv('data.csv')
df = df.fillna(0)

for (_col, _dtype) in zip(df.columns, df.dtypes):
    _dtype_as_str = str(_dtype)
    if 'int' in _dtype_as_str or 'float' in _dtype_as_str: