poolio

shagunsodhani

Key-Value Memory Networks for Directly Reading Documents

Introduction

• Knowledge Bases (KBs) are effective tools for Question Answering (QA) but are often too restrictive (due to fixed schema) and too sparse (due to limitations of Information Extraction (IE) systems).
• The paper proposes Key-Value Memory Networks, a neural network architecture based on Memory Networks that can leverage both KBs and raw data for QA.
• The paper also introduces MOVIEQA, a new QA dataset that can be answered by a perfect KB, by Wikipedia pages and by an imperfect KB obtained using IE techniques thereby allowing a comparison between systems using any of the three sources.
• Link to the paper.

Related Work

arthurbeggs

#!/bin/bash

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###                       OpenCV2 Installation Script                        ###
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#            Source code at https://github.com/arthurbeggs/scripts             #
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#                                                                              #
#     Feel free to copy and modify this file. Giving me credit for it is your  #
# choice, but please keep references to other people's work, which I don't     #

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

dave-andersen

import tensorflow as tf
import numpy as np
import time

N=10000
K=4
MAX_ITERS = 1000

start = time.time()

lopezjurip

OUTDATED, see comments below

Install Homebrew:

ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

Update Homebrew formulae:

brew update

xero

IRC Reference

Not intended as a guide for newbies, more like a "cheat sheet" for the somewhat experienced IRC user, especially one who wields some power over a channel.

The Basics

• /join #channel
  • Joins the specified channel.
• /part #channel
• Leaves the specified channel.