mutaku

(function(d) { 
  var dl = d.createElement('a');
  dl.innerText = 'Download MP3';
  dl.href = "http://media.soundcloud.com/stream/"+d.querySelector('#main-content-inner img[class=waveform]').src.match(/\.com\/(.+)\_/)[1];
  dl.download = d.querySelector('em').innerText+".mp3";
  d.querySelector('.primary').appendChild(dl);
  dl.style.marginLeft = '10px';
  dl.style.color = 'red';
  dl.style.fontWeight = 700;
})(document);

mutaku

Latency Comparison Numbers
--------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

mutaku

"""
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)