karpathy

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

azymnis

import com.twitter.scalding._
import com.twitter.algebird.{ MinHasher, MinHasher32, MinHashSignature }

/**
 * Computes similar items (with a string itemId), based on approximate
 * Jaccard similarity, using LSH.
 *
 * Assumes an input data TSV file of the following format:
 *
 *    itemId   userId

leostratus

How to Create a Mind
2013
http://www.amazon.com/How-Create-Mind-Thought-Revealed/dp/0143124048/
Great pop-cogsci book on Kurzweil's pattern recognition theory of mind. AI concepts such as hierarchal-hidden-markov-models and neural nets are discussed.

---

Consciousness: An Introduction
2003
http://www.amazon.com/Consciousness-Introduction-Susan-Blackmore/dp/019515343X/

jdegoes

object BenchmarkCommon {
  import scala.util.Random
  
  val DatasetSize = 10000
  val Iterations = 10000
  val ArrayPoolSize = 1000
  val ArrayPool = {
    def randomArray(): Array[Int] = {
      val array = new Array[Int](DatasetSize)
      

MattiSG

#!/bin/bash
#
# Installs the previous version of a Homebrew formula
#
# Usage: brewv formula_name desired_version
#
# Based on http://stackoverflow.com/questions/3987683/homebrew-install-specific-version-of-formula#9832084
#
# Author:	Matti Schneider <hi@mattischneider.fr> (http://mattischneider.fr)