Skip to content

Instantly share code, notes, and snippets.

View DustinAlandzes's full-sized avatar

Dustin Alandzes DustinAlandzes

View GitHub Profile
@DustinAlandzes
DustinAlandzes / webcam-cv2.py
Created February 21, 2017 03:19 — forked from tedmiston/webcam-cv2.py
Display the webcam in Python using OpenCV (cv2)
'''
Simply display the contents of the webcam with optional mirroring using OpenCV
via the new Pythonic cv2 interface. Press <esc> to quit.
'''
import cv2
def show_webcam(mirror=False):
cam = cv2.VideoCapture(0)
while True:
@DustinAlandzes
DustinAlandzes / FFMPEG_Notes.md
Created August 7, 2017 20:33 — forked from pjobson/FFMPEG_Notes.md
FFMPEG Notes

Some Recipies for ffmpeg Usage

I screw around with ffmpeg a lot, here are some recipies which I frequently use.

AUDIO

... to MP3

ffmpeg -i <input>.wav -codec:a libmp3lame -b:a 320k output.mp3

ffmpeg -i .wav -codec:a libmp3lame -q:a 0 output.mp3

@DustinAlandzes
DustinAlandzes / probereq-flooder.py
Created August 8, 2017 03:19 — forked from zhovner/probereq-flooder.py
#!/usr/bin/env python
# This script generates high volume of 802.11 Probe Requests frames.
# Each frame have uniq random source MAC.
# It use Scapy http://www.secdev.org/projects/scapy/ for frames crafting.
# You need injection supported device.
import logging
logging.getLogger("scapy.runtime").setLevel(logging.ERROR) # Disable IPv6 warnings
@DustinAlandzes
DustinAlandzes / index.html
Created August 18, 2017 08:20 — forked from anonymous/index.html
start of vanguard layout clone // source https://jsbin.com/tezigitava
<!DOCTYPE html>
<html lang="en">
<head>
<!-- Required meta tags -->
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<!-- Bootstrap CSS -->
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0-beta/css/bootstrap.min.css" integrity="sha384-/Y6pD6FV/Vv2HJnA6t+vslU6fwYXjCFtcEpHbNJ0lyAFsXTsjBbfaDjzALeQsN6M" crossorigin="anonymous">
<style id="jsbin-css">
@DustinAlandzes
DustinAlandzes / Vehicle Purchasing - Linear Regression, Random Forest Regression .ipynb
Created September 23, 2017 05:37 — forked from JJRyan0/Vehicle Purchasing - Linear Regression, Random Forest Regression .ipynb
Data Science Tutorial - Random Forest Regression.ipynb
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@DustinAlandzes
DustinAlandzes / Advanced Data Analysis; Multiple Linear Regression and One-way ANOVA using R.ipynb
Created September 23, 2017 05:37 — forked from JJRyan0/Advanced Data Analysis; Multiple Linear Regression and One-way ANOVA using R.ipynb
Advanced Data Analysis; Multiple Linear Regression and One-way ANOVA using R.ipynb
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@DustinAlandzes
DustinAlandzes / Gradient Boosting Machines v.s Decision Tree Demo 99.30% Acc - Sklearn.ipynb
Created September 23, 2017 05:37 — forked from JJRyan0/Gradient Boosting Machines v.s Decision Tree Demo 99.30% Acc - Sklearn.ipynb
Gradient Boosting Machines Out of Bag - Sklearn.ipynb
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@DustinAlandzes
DustinAlandzes / gist:18cf9f394addfb030a05a16eca68dc4f
Created September 23, 2017 05:48 — forked from karpathy/gist:587454dc0146a6ae21fc
An efficient, batched LSTM.
"""
This is a batched LSTM forward and backward pass
"""
import numpy as np
import code
class LSTM:
@staticmethod
def init(input_size, hidden_size, fancy_forget_bias_init = 3):
@DustinAlandzes
DustinAlandzes / ANOVA.ipynb
Created September 23, 2017 20:15 — forked from tlinnet/ANOVA.ipynb
ANOVA in python
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@DustinAlandzes
DustinAlandzes / wfc.js
Created March 10, 2018 21:18 — forked from selfsame/wfc.js
//single file version of https://github.com/kchapelier/wavefunctioncollapse
function randomIndice (array, r) {
var sum = 0,
i,
x;
for (i = 0; i < array.length; i++) {
sum += array[i];
}