endolith

"""
Measure the distance between two microphones based on the delay of a
clap from a point that is collinear with the two microphones.

Make sure your signal isn't clipping.

First test:
2 electrets 26 cm apart, hand clap
Distance:            -25.72 cm
Sub-sample distance: -26.02 cm

darrenderidder

#!/bin/bash

# A simple test script to demonstrate how to find the
# "absolute path" at which a script is running. Used
# to avoid some of the pitfals of using 'pwd' or hard-
# coded paths when running scripts from cron or another
# directory.
#
# Try it out:
# run the script from the current directory, then 

liangfu

#include <cstring>
#include <numeric>
#include <functional>

/**
 * Hackers Delight: http://www.hackersdelight.org/HDcode/nlz.c.txt
 */
int pop(unsigned x) {
   x = x - ((x >> 1) & 0x55555555);
   x = (x & 0x33333333) + ((x >> 2) & 0x33333333);

rygorous

#include <immintrin.h>
#include <intrin.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>

union Mat44 {
    float m[4][4];
    __m128 row[4];
};

stober

#!/usr/bin/python
"""
Author: Jeremy M. Stober
Program: GP.PY
Date: Thursday, July 17 2008
Description: Example of Gaussian Process Regression.
"""

from numpy import *
import pylab

ktuite

import boto.mturk.connection

sandbox_host = 'mechanicalturk.sandbox.amazonaws.com'
real_host = 'mechanicalturk.amazonaws.com'

mturk = boto.mturk.connection.MTurkConnection(
    aws_access_key_id = 'XXX',
    aws_secret_access_key = 'XXX',
    host = sandbox_host,
    debug = 1 # debug = 2 prints out all requests. but we'll just keep it at 1

myusuf3

To remove a submodule you need to:

• Delete the relevant section from the .gitmodules file.
• Stage the .gitmodules changes git add .gitmodules
• Delete the relevant section from .git/config.
• Run git rm --cached path_to_submodule (no trailing slash).
• Run rm -rf .git/modules/path_to_submodule (no trailing slash).
• Commit git commit -m "Removed submodule "
• Delete the now untracked submodule files rm -rf path_to_submodule

karpathy

"""
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):

karpathy

"""
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)

aaronpolhamus

n02119789 1 kit_fox
n02100735 2 English_setter
n02110185 3 Siberian_husky
n02096294 4 Australian_terrier
n02102040 5 English_springer
n02066245 6 grey_whale
n02509815 7 lesser_panda
n02124075 8 Egyptian_cat
n02417914 9 ibex
n02123394 10 Persian_cat