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""" | |
This is a batched LSTM forward and backward pass | |
""" | |
import numpy as np | |
import code | |
class LSTM: | |
@staticmethod | |
def init(input_size, hidden_size, fancy_forget_bias_init = 3): |
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""" 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 |
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<!DOCTYPE html> | |
<meta charset="utf-8"> | |
<script src="http://d3js.org/d3.v2.min.js?2.8.1"></script> | |
<body> | |
<script> | |
var margin = {top: 100, right: 100, bottom: 100, left: 100}, | |
width = 384, | |
height = 256; |
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bigram count score | |
external_links 1823239 11.0846952043 | |
united_states 1201240 9.51993073859 | |
references_external 1073067 4.49092215503 | |
new_york 1041129 4.9935587872 | |
th_century 617252 5.71497454564 | |
did_not 526168 4.30135948012 | |
los_angeles 259057 63.2530378731 | |
new_zealand 257352 5.34529759482 | |
does_not 239292 4.39354755795 |
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""" | |
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
BSD License | |
""" | |
import numpy as np | |
# data I/O | |
data = open('input.txt', 'r').read() # should be simple plain text file | |
chars = list(set(data)) | |
data_size, vocab_size = len(data), len(chars) |
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var spawn = require('child_process').spawn; | |
var fs = require('fs'); | |
var path = require('path'); | |
var seq = require('seq'); | |
var findit = require('findit'); | |
var BufferedStream = require('morestreams').BufferedStream; | |
module.exports = function (inStream) { | |
var id = Math.floor(Math.random() * (1<<30)).toString(16); | |
var tmpDir = path.join('/tmp', id); |
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using UnityEngine; | |
using System.Collections; | |
public class TouchCamera : MonoBehaviour { | |
public Transform target; | |
Vector3 f0Dir= Vector3.zero; | |
float zoomDistance= 5; | |
float theta= 0.0F; | |
float fai= 0.0F; | |
float dx= 0.0F; |
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#!/bin/sh | |
set -e | |
set -x | |
for package in $(npm -g outdated --parseable --depth=0 | cut -d: -f3) | |
do | |
npm -g install "$package" | |
done |