willurd

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

karpathy

"""
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)

malarkey

When times get tough and people get nasty, you’ll need more than a killer smile. You’ll need a killer contract.

Used by 1000s of designers and developers Clarify what’s expected on both sides Helps build great relationships between you and your clients Plain and simple, no legal jargon Customisable to suit your business Used on countless web projects since 2008

…………………………

erikh

#!/usr/bin/env sh

##
# This is script with usefull tips taken from:
#   https://github.com/mathiasbynens/dotfiles/blob/master/.osx
#
# install it:
#   curl -sL https://raw.github.com/gist/2108403/hack.sh | sh
#

remy

// MIT http://rem.mit-license.org

function trim(c) {
  var ctx = c.getContext('2d'),
    copy = document.createElement('canvas').getContext('2d'),
    pixels = ctx.getImageData(0, 0, c.width, c.height),
    l = pixels.data.length,
    i,
    bound = {
      top: null,

ndarville

Business Models

Advertising

Models	Examples
Display ads	Yahoo!
Search ads	Google

yoavg

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The unreasonable effectiveness of Character-level Language Models\n",
    "## (and why RNNs are still cool)\n",
    "\n",
    "###[Yoav Goldberg](http://www.cs.biu.ac.il/~yogo)\n",

atduskgreg

Interactive Machine Learning

Taught by Brad Knox at the MIT Media Lab in 2014. Course website. Lecture and visiting speaker notes.

• Power to the People: The Role of Humans in Interactive Machine Learning by Knox, Cakmak, Kulesza, Amershi, and Lau
• A Few Useful Things to Know about Machine Learning by Domingos
• Machine Learning that Matters by Wagstaff
• Beyond Concise and Colorful: Learning Intelligible Rules by Pazzani et al.
• [Designing Games with a Purpose] (https://www.cs.cmu.edu/~biglou/GWAP_CACM.pdf) by von Ahn and Dabbish
• [Human Model Evaluation in Interactive Supervised

shlomibabluki

# coding=UTF-8
from __future__ import division
import re

# This is a naive text summarization algorithm
# Created by Shlomi Babluki
# April, 2013


class SummaryTool(object):

schneems

echo 'require "objspace"; ObjectSpace.trace_object_allocations_start; Kernel.send(:define_method, :sup) do |obj| ;   puts "#{ ObjectSpace.allocation_sourcefile(obj) }:#{ ObjectSpace.allocation_sourceline(obj) }"; end' > tmp/tmp-gemfile
cat Gemfile >> tmp/tmp-gemfile
cat tmp/tmp-gemfile > Gemfile

# $ bundle exec irb
# irb(main):001:0> require 'rails'
# => true
# irb(main):002:0> sup(Rails)
# /Users/richardschneeman/.gem/ruby/2.4.0/gems/railties-5.0.0.1/lib/rails/initializable.rb:3