briancavalier

function keepTrying(otherArgs, promise) {
	promise = promise||new Promise();
	
	// try doing the important thing
	
	if(success) {
		promise.resolve(result);
	} else {
		setTimeout(function() {
			keepTrying(otherArgs, promise);

quantombone

function top = nms(boxes, overlap)
% top = nms_fast(boxes, overlap)
% Non-maximum suppression. (FAST VERSION)
% Greedily select high-scoring detections and skip detections
% that are significantly covered by a previously selected
% detection.
% NOTE: This is adapted from Pedro Felzenszwalb's version (nms.m),
% but an inner loop has been eliminated to significantly speed it
% up in the case of a large number of boxes
% Tomasz Malisiewicz (tomasz@cmu.edu)

sixtenbe

#!/usr/bin/python2


# Copyright (C) 2016 Sixten Bergman
# License WTFPL
#
# This program is free software. It comes without any warranty, to the extent
# permitted by applicable law. 
# You can redistribute it and/or modify it under the terms of the Do What The
# Fuck You Want To Public License, Version 2, as published by Sam Hocevar. See

bamorim

#!/bin/bash
# Add some PPAs
sudo add-apt-repository -y ppa:webupd8team/sublime-text-2 #sublime text
sudo add-apt-repository -y ppa:tualatrix/ppa  #ubuntu tweak
sudo add-apt-repository ppa:hertzog/nautilus-dropbox #nautilus-dropbox
sudo apt-get update

# upgrade dist
sudo apt-get upgrade

sphaero

#!/bin/bash --debugger
set -e

BRANCH="master"
if grep -q BCM2708 /proc/cpuinfo; then
    echo "RPI BUILD!"
    RPI="1"
fi

[ -n "$1" ] && BRANCH=$1

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)

danijar

# Example for my blog post at:
# http://danijar.com/introduction-to-recurrent-networks-in-tensorflow/
import functools
import sets
import tensorflow as tf


def lazy_property(function):
    attribute = '_' + function.__name__

johnantoni

This is my take on how to get up and running with NGINX, PHP-FPM, MySQL and phpMyAdmin on OSX Yosemite.

This article is adapted from the original by Jonas Friedmann. Who I just discovered is from Würzburg in Germany. A stonesthrow from where I was born ;)

Xcode

Make sure you have the latest version of XCode installed. Available from the Mac App Store.

Install the Xcode Command Line Tools:

xcode-select --install

nils-werner

def sliding_window(data, size, stepsize=1, padded=False, axis=-1, copy=True):
    """
    Calculate a sliding window over a signal

    Parameters
    ----------
    data : numpy array
        The array to be slided over.
    size : int
        The sliding window size