brendanberg

cons = (h, t) -> (m) -> m(h, t)
car = (x) -> x((h, t) -> h)
cdr = (x) -> if x then x((h, t) -> t) else null

map = (ls, f) ->
  cons (f car ls), if cdr ls then map cdr(ls), f else null

foldl = (ls, f, n) ->
  f (car ls), if cdr ls then foldl (cdr ls), f, n else n

sleepygarden

# -*- coding: utf-8 -*-
import sys
import enchant 

"""
    trying to make sense of unicode_ebooks 
    you need pyenchant:
                    brew install enchant
                    pip install pyenchant
"""

dariusk

// Adapted from Zachary Johnson's Commander Clone 0.2 screen scaling example http://www.zachstronaut.com/projects/commander-clone/0.2/game.html
// Modified to strictly choose 1X or 2X or 4X scaling as appopriate, so we don't end up with screwed up scaling artifacts.
// NOTE: uses jQuery for the DOM load event
$(function () {

  fullScreenify();

  window.addEventListener('resize', fullScreenify, false);

  function fullScreenify() { 

cyberdelia

from fabric.api import env, run, sudo, local, put

def production():
    """Defines production environment"""
    env.user = "deploy"
    env.hosts = ['example.com',]
    env.base_dir = "/var/www"
    env.app_name = "app"
    env.domain_name = "app.example.com"
    env.domain_path = "%(base_dir)s/%(domain_name)s" % { 'base_dir':env.base_dir, 'domain_name':env.domain_name }

AdamGagorik

Description

Use these commands to run a jupyter server on a remote server and access it locally in a browser. You must have SSH access to the browser. Use any port you want.

Do not forget to change username@server to the correct value!

TLDR

where	using	command

selfsame

"dungeon planet" by Joseph Parker

Book 1 - Rules

Chapter 1 - Computers

An operating system is a kind of value. The operating systems are linux.

A computer is a kind of device. Understand "computer" as computer.
	A computer has a text called power_up_text.  

entron

'''This scripts implements Kim's paper "Convolutional Neural Networks for Sentence Classification"
with a very small embedding size (20) than the commonly used values (100 - 300) as it gives better
result with much less parameters.

Run on GPU: THEANO_FLAGS=mode=FAST_RUN,device=gpu,floatX=float32 python imdb_cnn.py

Get to 0.853 test accuracy after 5 epochs. 13s/epoch on Nvidia GTX980 GPU.
'''

from __future__ import print_function

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

rspeer

mcleonard

import math

class Vector(object):
    def __init__(self, *args):
        """ Create a vector, example: v = Vector(1,2) """
        if len(args)==0: self.values = (0,0)
        else: self.values = args
        
    def norm(self):
        """ Returns the norm (length, magnitude) of the vector """