Ferdinand Mütsch muety

1. Install NFS on Server

Install the required packages (Ubuntu 12.04):

apt-get install nfs-kernel-server portmap

2. Share NFS Folder

Open the exports file:

vim /etc/exports

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

UPDATE (March 2020, thanks @ic): I don't know the exact AMI version but yum install docker now works on the latest Amazon Linux 2. The instructions below may still be relevant depending on the vintage AMI you are using.

Amazon changed the install in Linux 2. One no-longer using 'yum' See: https://aws.amazon.com/amazon-linux-2/release-notes/

Docker CE Install

sudo amazon-linux-extras install docker
sudo service docker start

	/**
	* Represents an axix-aligned bounding box.
	*
	* @author Kristian
	*/
	public class AABB {
	public static class Vec3D {
	/**
	* Point with the coordinate (1, 1, 1).
	*/

	<?php

	/*
	* Set the following constants in wp-config.php.
	* These should be added somewhere BEFORE the constant ABSPATH is defined.
	*
	* Author: Chad Butler
	* Author URI: https://butlerblog.com
	*
	* For more information and instructions, see: https://b.utler.co/Y3

	package log

	import (
	"fmt"
	"github.com/Sirupsen/logrus"
	"runtime"
	"strings"
	)

	var logger = logrus.New()

	# Author: Kyle Kastner
	# License: BSD 3-Clause
	# Implementing http://mnemstudio.org/path-finding-q-learning-tutorial.htm
	# Q-learning formula from http://sarvagyavaish.github.io/FlappyBirdRL/
	# Visualization based on code from Gael Varoquaux [email protected]
	# http://scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html

	import numpy as np
	import matplotlib.pyplot as plt
	from matplotlib.collections import LineCollection

	<html>
	<body>
	<h2>Privacy Policy</h2>
	<p>[Individual or Company Name] built the [App Name] app as a [open source \| free \| freemium \| ad-supported \| commercial] app. This SERVICE is provided by [Individual or company name] [at no cost] and is intended
	for use as is.</p>
	<p>This page is used to inform website visitors regarding [my\|our] policies with the collection, use, and
	disclosure of Personal Information if anyone decided to use [my\|our] Service.</p>
	<p>If you choose to use [my\|our] Service, then you agree to the collection and use of information in
	relation with this policy. The Personal Information that [I\|we] collect are used for providing and
	improving the Service. [I\|We] will not use or share your information with anyone except as described

	import org.nd4j.linalg.api.ndarray.INDArray
	import org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp
	import org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
	import org.nd4j.linalg.factory.Nd4j

	import scala.util.Random

	object Xavier {
	def init(shape: Array[Int]): INDArray = {
	var n = shape.dropRight(1).product

	# lives in filter.d/

	[Definition]
	failregex = ^<HOST> -.* HTTP/[0-9].[0-9]" 401
	ignoreregex =