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souparno / Combination Constructor & Prototype Pattern
Last active Jan 4, 2016 — forked from zacksleo/JavaScript Class
Combination Constructor & Prototype Pattern
View Combination Constructor & Prototype Pattern
* Combination Constructor/Prototype Pattern
function Something(name){
//properties = name;
View router.html
<!DOCTYPE html>
<meta charset="utf-8">
<title>Building a router</title>
// Put John's template engine code here...
(function () {
// A hash to store our routes:
View cors.js
* Make a X-Domain request to url and callback.
* @param url {String}
* @param method {String} HTTP verb ('GET', 'POST', 'DELETE', etc.)
* @param data {String} request body
* @param callback {Function} to callback on completion
* @param errback {Function} to callback on error
function xdr(url, method, data, callback, errback) {
View getApp.js
var app = require("express")();
app.get('/user', function(req, res){
res.send(200, { name: 'marcus' });
// In order to reach the app from other modules
// we need to export the express application
module.exports.getApp = app;
souparno / gist:f077cb03f0339514bbcc
Created Nov 28, 2015 — forked from zachstronaut/gist:1184900
Stretch HTML5 canvas to fill window, preserving aspect ratio
View gist:f077cb03f0339514bbcc
* fullscreenify()
* Stretch canvas to size of window.
* Zachary Johnson
* See also:
View gist:851ea9c78f5bde4fef12e41492ce066a
Copyright 2011 Martin Hawksey
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
Unless required by applicable law or agreed to in writing, software
View minimal-neuron.js
A neuron is basically the sum of its synapses.
Along with a trigger threshold, that's all we need to calculate
whether or not it will trigger at any given moment:
const neuron = ({ synapses = [], threshold = 1 } = {}) => ({
souparno /
Created Jan 1, 2018 — forked from karpathy/
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)
souparno /
Created Jan 30, 2018 — forked from mjdietzx/
Install CUDA Toolkit v8.0 and cuDNN v6.0 on Ubuntu 16.04
# install CUDA Toolkit v8.0
# instructions from (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-get update
sudo apt-get -y install cuda
souparno / app.html
Created Nov 30, 2018 — forked from derekchiang/app.html
[electron]Use electron as a Web Server
View app.html
<!doctype html>
<html><head><script src="app.js"></script></head><body></body></html>