ravnoor

#!/bin/bash

# Backup a Plex database.
# Author Scott Smereka
# Version 1.0

# Script Tested on:
# Ubuntu 12.04 on 2/2/2014	[ OK ] 

# Plex Database Location.  The trailing slash is 

ravnoor

# ========================================================
# Setup a Dumb AP, Wired backbone for OpenWRT / LEDE
# ========================================================
# Set lan logical interface as bridge (to allow bridge multiple physical interfaces)
uci set network.lan.type='bridge'
# assign WAN physical interface to LAN (will be available as an additional LAN port now)
uci set network.lan.ifname="$(uci get network.lan.ifname) $(uci get network.wan.ifname)"
uci del network.wan.ifname
# Remove wan logical interface, since we will not need it.
uci del network.wan

ravnoor

# from https://www.kaggle.com/nothxplz/dogs-vs-cats-redux-kernels-edition/cats-vs-dogs-05-pytorch-example/run/761413
from __future__ import print_function

import argparse
import csv
import os
import os.path
import shutil
import time

ravnoor

# This is an example for the CIFAR-10 dataset.
# There's a function for creating a train and validation iterator.
# There's also a function for creating a test iterator.
# Inspired by https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4

from utils import plot_images

def get_train_valid_loader(data_dir,
                           batch_size,
                           augment,

ravnoor

The fastest remote directory rsync over ssh archival I can muster (40MB/s over 1gb NICs)

This creates an archive that does the following:

rsync (Everyone seems to like -z, but it is much slower for me)

• a: archive mode - rescursive, preserves owner, preserves permissions, preserves modification times, preserves group, copies symlinks as symlinks, preserves device files.
• H: preserves hard-links
• A: preserves ACLs

ravnoor

# Example code to demonstrate parallel for loop implementation using joblib
from joblib import Parallel, delayed
import multiprocessing

# Vars
my_list = range(10)
squares = []

# Function to parallelize
def find_square(i):

ravnoor

# Implementation of a simple MLP network with one hidden layer. Tested on the iris data set.
# Requires: numpy, sklearn, theano

# NOTE: In order to make the code simple, we rewrite x * W_1 + b_1 = x' * W_1' 
# where x' = [x | 1] and W_1' is the matrix W_1 appended with a new row with elements b_1's. 
# Similarly, for h * W_2 + b_2
import theano
from theano import tensor as T
import numpy as np
from sklearn import datasets

ravnoor

ravnoor

Verify and Repair Disk Permissions via Terminal (Mac OS X)

Verify Permissions

diskutil verifyPermissions /

Repair Permissions

diskutil repairPermissions /

ravnoor

#' Get a PubMed search index
#' @param query a PubMed search string
#' @return the XML declaration of the search
#' @example
#' # Which articles discuss the WHO FCTC?
#' pubmed_ask("FCTC OR 'Framework Convention on Tobacco Control'")
pubmed_ask <- function(query) {
  
  # change spaces to + and single-quotes to URL-friendly %22 in query
  query = gsub("'", "%22", gsub(" ", "+", query))