philipperemy

from __future__ import print_function

import os

import numpy as np
from keras.layers import RepeatVector
from keras.layers.core import Dropout
from keras.layers.recurrent import LSTM
from keras.models import Sequential
from keras.models import load_model

philipperemy

from __future__ import print_function

import numpy as np
from keras.layers import Dense
from keras.layers import LSTM
from keras.models import Sequential
from numpy.random import choice

USE_SEQUENCES = False
USE_STATELESS_MODEL = False

philipperemy

var https = require('https'),
        user = process.argv[2],
            opts = parseOpts(process.argv.slice(3))

    request('/users/' + user, function (res) {
            if (!res.public_repos) {
                        console.log(res.message)
                return
            }
                var pages = Math.ceil(res.public_repos / 100),

philipperemy

from __future__ import print_function

import numpy as np
from keras.layers import Dense
from keras.layers import LSTM
from keras.models import Sequential
from numpy.random import choice

USE_SEQUENCES = False
USE_STATELESS_MODEL = False

philipperemy

# Ubuntu:14.04 - 64 bits
# MINIMUM IS 8GB OF RAM.

curl -sk https://raw.githubusercontent.com/torch/ezinstall/master/install-deps | bash
git clone https://github.com/torch/distro.git ~/torch --recursive
cd ~/torch; ./install.sh
. ~/.bashrc  # or: . ~/.zshrc

luarocks install nn
luarocks install nngraph

philipperemy

#!/usr/bin/env python
"""
Produces load on all available CPU cores
"""

from multiprocessing import Pool
from multiprocessing import cpu_count

def f(x):
    while True:

philipperemy

# On Mac OSX

# Will run AIRODUMP scan of all BSSIDs
# sudo airport -s

# Will run AIRODUMP sniff on channel 11
# sudo airport en0 sniff 11
# Atm, I can't find how to sniff on all channels at the same time.

if [ $# -eq 0 ]

philipperemy

set -e

PACKAGES="$(find . -type f -iname "*.R" -exec cat {} + | grep "^library" | sed 's/library(//g' | cut -d ')' -f 1 | sed -e 's/^"//' -e 's/"$//' | sort -u | xargs)"

for package in $PACKAGES;
do
    echo "Installing package: ${package}..."
    rscript -e "install.packages('${package}', repos='https://cran.rstudio.com')"
done

philipperemy

import json

import requests

CODE_REQUEST_URL = "https://graph.accountkit.com/v1.2/start_login?access_token=AA%7C464891386855067%7Cd1891abb4b0bcdfa0580d9b839f4a522&credentials_type=phone_number&fb_app_events_enabled=1&fields=privacy_policy%2Cterms_of_service&locale=fr_FR&phone_number=#placeholder&response_type=token&sdk=ios"
CODE_VALIDATE_URL = "https://graph.accountkit.com/v1.2/confirm_login?access_token=AA%7C464891386855067%7Cd1891abb4b0bcdfa0580d9b839f4a522&confirmation_code=#confirmation_code&credentials_type=phone_number&fb_app_events_enabled=1&fields=privacy_policy%2Cterms_of_service&locale=fr_FR&login_request_code=#request_code&phone_number=#phone_number&response_type=token&sdk=ios"
TOKEN_URL = "https://api.gotinder.com/v2/auth/login/accountkit"

HEADERS = {

philipperemy

def new_chrome_browser(headless=True, download_path=os.path.dirname(os.path.abspath(__file__))):
    """Helper function that creates a new Selenium browser"""
    options = webdriver.ChromeOptions()
    user_agent = 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/60.0.3112.50 Safari/537.36'
    if headless:
        options.add_argument('headless')
        options.add_argument('--window-size=1280x1024')
        options.add_argument('--disable-gpu')
        # options.add_argument(f'user-agent={user_agent}')
    if download_path is not None: