orrwil

<#############################
## 2015-07-10, 14:45 - 
## Check if Session running with evevated / administrator privledges
#############################>
  ([Security.Principal.WindowsPrincipal] [Security.Principal.WindowsIdentity]::GetCurrent()).IsInRole([Security.Principal.WindowsBuiltInRole] "Administrator")

  #Ref: http://www.jonathanmedd.net/2014/01/testing-for-admin-privileges-in-powershell.html
  
<#############################
## 2015-07-10, 11:10 - 

arbickerstaff

Import-Module ActiveDirectory

$users = Import-CSV ".\users.csv"

foreach ($user in $users) {
    Remove-ADGroupMember -Identity $user.GroupName -Member $user.SamAccountName
    }

baraldilorenzo

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

matt40k

Function Get-LocalGroupMembers
{
param(
[Parameter(ValuefromPipeline=$true)][array]$server = $env:computername,
$GroupName = $null
)
PROCESS {
    $finalresult = @()
    $computer = [ADSI]"WinNT://$server"

RichardBronosky

#! /usr/bin/env python
# -*- coding: utf-8 -*-
"""This module's docstring summary line.

This is a multi-line docstring. Paragraphs are separated with blank lines.
Lines conform to 79-column limit.

Module and packages names should be short, lower_case_with_underscores.
Notice that this in not PEP8-cheatsheet.py

MJRichardson

using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.DirectoryServices.AccountManagement;
using System.Linq;
using System.Runtime.InteropServices;
using System.Security.Principal;
using Octopus.Core.Model.Events;
using Octopus.Core.Model.Users;
using Octopus.Core.RelationalStorage;

BuffaloWill

## IPv6 Tests
http://[::ffff:169.254.169.254]
http://[0:0:0:0:0:ffff:169.254.169.254]

## AWS 
# Amazon Web Services (No Header Required)
# from http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-instance-metadata.html#instancedata-data-categories
http://169.254.169.254/latest/meta-data/iam/security-credentials/dummy
http://169.254.169.254/latest/user-data
http://169.254.169.254/latest/user-data/iam/security-credentials/[ROLE NAME]

rudelm

Autofs on Mac OS X

With autofs you can easily mount network volumes upon first access to the folder where you want to mount the volume. Autofs is available for many OS and is preinstalled on Mac OS X so I show you how I mounted my iTunes library folder using this method.

Prepare autofs to use a separate configuration file

autofs needs to be configured so that it knows where to gets its configuration. Edit the file /etc/auto_master and add the last line:

#
# Automounter master map
#

+auto_master # Use directory service

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats