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@adrianseeley
adrianseeley / Burst.js.html
Last active October 15, 2017 04:56
Burst JS
<!--
Each pixel is read as 4 bytes (traditionally representing red, green, blue and alpha
color channels). But since we have 4 bytes, we can interpret them in any way 4 bytes
can be interpreted, like as a single precision floating point number for example:
http://en.wikipedia.org/wiki/Single-precision_floating-point_format
In this way we can use each pixel to represent a floating point number with a total
precision of 24 bits (equivalent to log10(224) ≈ 7.225 decimal digits):
@adrianseeley
adrianseeley / compute.html
Last active July 12, 2024 20:13
WEBGL COMPUTE SHADER SETUP
<!DOCTYPE html>
<html>
<canvas id="c" width="128" height="128"></canvas>
<script src="glutil.js"></script>
<script id="vshader" type="text/plain">
attribute vec2 vtxpos;
varying vec2 texpos;
void main() {
texpos = (vtxpos / 2.) + vec2(0.5, 0.5);
gl_Position = vec4(vtxpos, 0, 1);
@adrianseeley
adrianseeley / glutil.js
Last active November 8, 2024 02:24
QP GPU (queue-pee gee-pee-you, or just Q-P for short) Quantum Particles via Graphics Processing Unit
window.onerror = function (msg, url, lineno) {
alert(url + '(' + lineno + '): ' + msg);
}
function createShader (str, type) {
var shader = gl.createShader(type);
gl.shaderSource(shader, str);
gl.compileShader(shader);
if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS))
throw gl.getShaderInfoLog(shader);
@adrianseeley
adrianseeley / GPU_MSDA_FF_ANN.html
Last active April 27, 2021 18:18
A Sinus Activated Multi-Stochastic-Descending/Ascending (MSD/A) Feed Forward Artificial Neural Network (ANN) Computed by GPU via JavaScript and WebGL GLSL (GATO 2014) :: Fiddle: http://jsfiddle.net/Hnv8H/
<!DOCTYPE html>
<html>
<pre id="page" style="font-family: monospace; white-space: pre-wrap;">
<h3>A Sinus Activated Multi-Stochastic-Descending/Ascending (MSD/A) Feed Forward Artificial Neural Network (ANN) Computed by GPU via JavaScript and WebGL GLSL (GATO 2014)</h3>This web page attempts to outline an implementation for solving non-linearly-separable (NLS) classification and function approximation problems using a sinus activated feed forward neural network, trained via multi-stochastic-descension/ascension (MSD/A), and evaluated using the GPU via JavaScript and WebGL GLSL source code.
In order to overcome NLS using MSD/A, a sinus activation function: <b>sin(x)</b>, has been used in place of sigmoid: <b>1 / (1 + exp(-x))</b>, hyper-tangent: <b>htan(x)</b>, and/or averaging: <b>sum / count</b>, activation functions.
Although ANNs capable of overcoming NLS problems are said to be capable of entering any computationally complete state, actually finding and entering a specific state required to solve a real
@addyosmani
addyosmani / unit_testing.md
Last active July 27, 2020 05:17
Unit Testing Polymer Elements

Deprecated. See https://www.polymer-project.org/articles/unit-testing-elements.html for the latest version.

Unit Testing Polymer Elements

Note: this guide is a work-in-progress and will be added to the Polymer docs when it's ready. We have updated <seed-element> to include unit tests and this guide has been moved to Google docs. Expect a version on the Polymer site before the end of September.

After spending days working on your <super-awesome> Polymer element, you’re finally ready to share it with the rest of the world. You add the code for using it to your demo, iterate on it over time and come back to it one day when..uh oh. The demo broke because something has gone horribly wrong. Suddenly, <super-awesome> isn’t starting to look so great. Now you’re stuck trying to backtrack through your commit log to figure out how you broke the code. You’re not going to have a fun time.

If you’ve been working on the front-end for a while, even if you haven’t really played with Polymer elements before, this s

@otoolep
otoolep / influxdb-grafana-howto.sh
Last active March 14, 2021 06:32
Shell script to download, and configure, InfluxDB, nginx, and Grafana
#!/bin/bash
# Check out the blog post at:
#
# http://www.philipotoole.com/influxdb-and-grafana-howto
#
# for full details on how to use this script.
AWS_EC2_HOSTNAME_URL=http://169.254.169.254/latest/meta-data/public-hostname
INFLUXDB_DATABASE=test1
@msund
msund / gist:2ca48d4b1824ba58ae7e
Last active August 29, 2015 14:02
LaTeX draft
This file has been truncated, but you can view the full file.
{
"metadata": {
"name": "Untitled0"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
@mathisonian
mathisonian / index.md
Last active August 10, 2024 20:59
requiring npm modules in the browser console

demo gif

The final result: require() any module on npm in your browser console with browserify

This article is written to explain how the above gif works in the chrome (and other) browser consoles. A quick disclaimer: this whole thing is a huge hack, it shouldn't be used for anything seriously, and there are probably much better ways of accomplishing the same.

Update: There are much better ways of accomplishing the same, and the script has been updated to use a much simpler method pulling directly from browserify-cdn. See this thread for details: mathisonian/requirify#5

inspiration

From Fabrice Bellard, with minor name change (umulh):

// return the high 32 bit part of the 64 bit addition of (hi0, lo0) and (hi1, lo1)
Math.iaddh(lo0, hi0, lo1, hi1)

// return the high 32 bit part of the 64 bit subtraction of (hi0, lo0) and (hi1, lo1)
Math.isubh(lo0, hi0, lo1, hi1)

// return the high 32 bit part of the signed 64 bit product of the 32 bit numbers a and b
@bryanhelmig
bryanhelmig / script_test.js
Last active November 24, 2016 05:15 — forked from billywhizz/script_test.js
record time spent on "each" run for nodejs or node vm module vs contextify, etc.
var vm = require('vm'),
Contextify = require('contextify'),
code = 'var square = n * n;',
fn = new Function('n', code),
script = vm.createScript(code);
n = 5;
benchmark = function(title, funk) {
var end, i, start, spins = 10000;