javier

# Update System
# ------------------------------------------------------------------------------
echo 'Updating System...'
sudo apt-get -y update

# Hardware
# ------------------------------------------------------------------------------
echo 'Installing bumblebee'
sudo add-apt-repository -y ppa:bumblebee/stable && sudo apt-get update
sudo apt-get -y install bumblebee bumblebee-nvidia

fxn

Atomic Redis Extensions with Lua

Redis has a very simple execution model: while the server is evented and is able to cope with many concurrent clients, the commands themselves are executed one after the other. Redis is single-threaded. So, you know that while a LPUSH runs, say, no other command can possibly read or change anything at the same time.

If you open a transaction with MULTI, the commands of the transaction are queued, and when the transaction is committed, the queued commands run atomically. No other clients are served while they run because EXEC, as the rest of ordinary commands, is executed in that single thread. Other clients may be served while the commands are queued though, and that gives place to optimistic idioms with WATCH.

Redis 2.6 comes with support for Lua scripting, and that yields new options. because **Lua script

burnash

'''
    This script will attempt to open your webbrowser,
    perform OAuth 2 authentication and print your access token.

    It depends on two libraries: oauth2client and gflags.

    To install dependencies from PyPI:

    $ pip install python-gflags oauth2client

graydon

# extracted from http//www.naturalearthdata.com/download/110m/cultural/ne_110m_admin_0_countries.zip
# under public domain terms

country_bounding_boxes = {
    'AF': ('Afghanistan', (60.5284298033, 29.318572496, 75.1580277851, 38.4862816432)),
    'AO': ('Angola', (11.6400960629, -17.9306364885, 24.0799052263, -4.43802336998)),
    'AL': ('Albania', (19.3044861183, 39.624997667, 21.0200403175, 42.6882473822)),
    'AE': ('United Arab Emirates', (51.5795186705, 22.4969475367, 56.3968473651, 26.055464179)),
    'AR': ('Argentina', (-73.4154357571, -55.25, -53.628348965, -21.8323104794)),
    'AM': ('Armenia', (43.5827458026, 38.7412014837, 46.5057198423, 41.2481285671)),

gbuesing

UPDATE a fork of this gist has been used as a starting point for a community-maintained "awesome" list: machine-learning-with-ruby Please look here for the most up-to-date info!

Resources for Machine Learning in Ruby

Gems

• liblinear-ruby: Ruby interface to LIBLINEAR using SWIG

protrolium

ffmpeg

Converting Audio into Different Formats / Sample Rates

Minimal example: transcode from MP3 to WMA:
ffmpeg -i input.mp3 output.wma

You can get the list of supported formats with:
ffmpeg -formats

You can get the list of installed codecs with:

Azrael808

container_commands:
  01_install_pma:
    test: test -n "$PMA_VER" && test ! -f /tmp/phpmyadmin.tar.gz
    command: |
      cd /tmp
      wget https://files.phpmyadmin.net/phpMyAdmin/${PMA_VER}/phpMyAdmin-${PMA_VER}-all-languages.tar.gz
      wget https://files.phpmyadmin.net/phpMyAdmin/${PMA_VER}/phpMyAdmin-${PMA_VER}-all-languages.tar.gz.sha1
      cd /tmp && sha1sum --check phpMyAdmin-${PMA_VER}-all-languages.tar.gz.sha1
      if [[ $? == 0 ]]
      then

pahaz

"""Google spreadsheet related.
Packages required: oauth2client, google-api-python-client
* https://gist.github.com/miohtama/f988a5a83a301dd27469
"""

from oauth2client.service_account import ServiceAccountCredentials
from apiclient import discovery


def get_credentials(scopes: list) -> ServiceAccountCredentials:

sscotth

# Why?
# To paste text into windows that normally don't allow it or have access to the clipboard.
# Examples: Virtual machines that do not yet have tools installed, websites that hijack paste
#
# Extended vs Simple?
# * Includes an initial delay to allow you to change active windows
# * Adds small delay between keypresses for slower responding windows like SSH sessions
# * Better handling of numbers
# * VMWare bug fix
#

jakechen

# With help from https://aws.amazon.com/blogs/ai/build-your-own-face-recognition-service-using-amazon-rekognition/

frame_skip = 100 # analyze every 100 frames to cut down on Rekognition API calls

import boto3
import cv2
from PIL import Image
import io

rekog = boto3.client('rekognition')