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",

dhoss

name := """steel"""

version := "1.0-SNAPSHOT"

lazy val root = (project in file(".")).enablePlugins(PlayScala)

scalaVersion := "2.11.5"
resolvers ++= Seq(
  "Typesafe repository" at "https://repo.typesafe.com/typesafe/releases/",
  "Typesafe Maven Repository" at "http://repo.typesafe.com/typesafe/maven-releases/",

pathikrit

val n = 9
val s = Math.sqrt(n).toInt
type Board = IndexedSeq[IndexedSeq[Int]]
 
def solve(board: Board, cell: Int = 0): Option[Board] = (cell%n, cell/n) match {
  case (r, `n`) => Some(board)
  case (r, c) if board(r)(c) > 0 => solve(board, cell + 1)
  case (r, c) =>
    def guess(x: Int) = solve(board.updated(r, board(r).updated(c, x)), cell + 1)  
    val used = board.indices.flatMap(i => Seq(board(r)(i), board(i)(c), board(s*(r/s) + i/s)(s*(c/s) + i%s)))

ebattenberg

---
# Dataset Stuff -------------------------------------------------
#
data_path: ~/data
output_path: ~/output

val_size: 10000
train_chunk_size: 40000

joshwlewis

[{"name":"allthethings","url":"https://dujrsrsgsd3nh.cloudfront.net/img/emoticons/allthethings-1414024836.png"},{"name":"android","url":"https://dujrsrsgsd3nh.cloudfront.net/img/emoticons/android-1414024011.png"},{"name":"areyoukiddingme","url":"https://dujrsrsgsd3nh.cloudfront.net/img/emoticons/areyoukiddingme-1414024355.png"},{"name":"arrington","url":"https://dujrsrsgsd3nh.cloudfront.net/img/emoticons/arrington-1414023805.png"},{"name":"arya","url":"https://dujrsrsgsd3nh.cloudfront.net/img/emoticons/arya-1414028821.png"},{"name":"ashton","url":"https://dujrsrsgsd3nh.cloudfront.net/img/emoticons/ashton-1414025136.png"},{"name":"atlassian","url":"https://dujrsrsgsd3nh.cloudfront.net/img/emoticons/atlassian-1414025304.png"},{"name":"awesome","url":"https://dujrsrsgsd3nh.cloudfront.net/img/emoticons/awesome-1417754492.png"},{"name":"awthanks","url":"https://dujrsrsgsd3nh.cloudfront.net/img/emoticons/awthanks-1414025485.png"},{"name":"aww","url":"https://dujrsrsgsd3nh.cloudfront.net/img/emoticons/aww-1417754503

P7h

# Steps to build and install tmux from source.
# Takes < 25 seconds on EC2 env [even on a low-end config instance].

VERSION=2.7
sudo yum -y remove tmux
sudo yum -y install wget tar libevent-devel ncurses-devel
wget https://github.com/tmux/tmux/releases/download/${VERSION}/tmux-${VERSION}.tar.gz
tar xzf tmux-${VERSION}.tar.gz
rm -f tmux-${VERSION}.tar.gz
cd tmux-${VERSION}

waylonflinn

#!/usr/bin/env bash

## create an ubuntu 14.04 hvm instance, then from your home directory:

# 1. download this script
# wget https://gist.githubusercontent.com/waylonflinn/506f563573600d944923/raw/install-python-data-science.sh

# 2. make it executable
# chmod a+x install-python-data-science.sh

syhw

"""
A deep neural network with or w/o dropout in one file.

License: Do What The Fuck You Want to Public License http://www.wtfpl.net/
"""

import numpy, theano, sys, math
from theano import tensor as T
from theano import shared
from theano.tensor.shared_randomstreams import RandomStreams

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

syllog1sm

"""A simple implementation of a greedy transition-based parser. Released under BSD license."""
from os import path
import os
import sys
from collections import defaultdict
import random
import time
import pickle

SHIFT = 0; RIGHT = 1; LEFT = 2;