afeinberg

(ns friedman)

;; Inspired by ``A Grammar for a Subset of English'', PAIP by Norvig pp. 35-36

(defn one-of [lst]
  (nth lst (rand-int (count lst))))

(defn common-occupation []
  (one-of '("barber" "cab driver" "teacher" "fisherman" "doctor")))

stober

#! /usr/bin/env python
"""
Author: Jeremy M. Stober
Program: SOFTMAX.PY
Date: Wednesday, February 29 2012
Description: Simple softmax function.
"""

import numpy as np
npa = np.array

andreyvit

tmux cheat sheet

(C-x means ctrl+x, M-x means alt+x)

Prefix key

The default prefix is C-b. If you (or your muscle memory) prefer C-a, you need to add this to ~/.tmux.conf:

remap prefix to Control + a

gka

import sqlite3

# open connection and get a cursor
conn = sqlite3.connect(':memory:')
c = conn.cursor()

# create schema for a new table
c.execute('CREATE TABLE IF NOT EXISTS sometable (name, age INTEGER)')
conn.commit()

grantslatton

import urllib2
import re
import sys
from collections import defaultdict
from random import random

"""
PLEASE DO NOT RUN THIS QUOTED CODE FOR THE SAKE OF daemonology's SERVER, IT IS 
NOT MY SERVER AND I FEEL BAD FOR ABUSING IT. JUST GET THE RESULTS OF THE 
CRAWL HERE: http://pastebin.com/raw.php?i=nqpsnTtW AND SAVE THEM TO "archive.txt"

omangin

""" Non-negative matrix factorization for I divergence

    This code was implements Lee and Seung's multiplicative updates algorithm
    for NMF with I divergence cost.

    Lee D. D., Seung H. S., Learning the parts of objects by non-negative
      matrix factorization. Nature, 1999
"""
# Author: Olivier Mangin <[email protected]>

kastnerkyle

# (C) Kyle Kastner, June 2014
# License: BSD 3 clause

from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.utils import gen_batches
from scipy.linalg import eigh
from scipy.linalg import svd
import numpy as np

# From sklearn master

dysinger

-- Currying in Haskell
add :: Int -> Int -> Int -> Int -> Int
add a b c d = a + b + c + d
-- use `add 3 7 9 11`

// Currying in Swift
func add(a: Int) -> (Int -> Int) {
    func add1(b: Int) -> (Int -> Int) {
        func add2(c: Int) -> (Int -> Int) {
            func add3(d: Int) -> Int {

y0ast

There used to be a tutorial here for using Torch7 on EC2, but it's now outdated. It is best to use an EC2 image that already has Torch7 and CUDA stuff preinstalled.

Newmu

"""
The MIT License (MIT)

Copyright (c) 2015 Alec Radford

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is