Jongmin Park GzuPark

Install Terminator (shell)

sudo add-apt-repository ppa:gnome-terminator
sudo apt-get update
sudo apt-get install terminator

Terminator should be setup as default now. Restart your terminal (shortcut: "Ctrl+Alt+T").

Install ZSH

Notice

This script is no longer required with Docker for Mac which includes an option to run Docker at startup and doesn't use docker-machine to administer the local Docker engine.

Requirements

Docker Machine + Docker
curl
A Virtualbox-driven Docker Machine called "default" docker-machine create --driver virtualbox default (this is the default with Docker toolkit).

Add Git Branch Name to Terminal Prompt (Linux/Mac)

Open ~/.bash_profile in your favorite editor and add the following content to the bottom.

# Git branch in prompt.

parse_git_branch() {

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

	#!/usr/bin/python3
	import argparse
	import logging
	import subprocess
	import os
	import tempfile
	from tempfile import mkstemp

	import configparser
	import gzip

	import sys
	from PyQt5.QtWidgets import QApplication
	from PyQt5.QtSvg import QSvgWidget

	from io import BytesIO
	import matplotlib.pyplot as plt


	# matplotlib: force computer modern font set
	plt.rc('mathtext', fontset='cm')

	"""
	Create train, valid, test iterators for CIFAR-10 [1].
	Easily extended to MNIST, CIFAR-100 and Imagenet.

	[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4
	"""

	import torch
	import numpy as np

	# This file is useful for reading the contents of the ops generated by ruby.
	# You can read any graph defination in pb/pbtxt format generated by ruby
	# or by python and then convert it back and forth from human readable to binary format.

	import tensorflow as tf
	from google.protobuf import text_format
	from tensorflow.python.platform import gfile

	def pbtxt_to_graphdef(filename):
	with open(filename, 'r') as f:

	import numpy as np
	import tensorflow as tf
	from tensorflow.python.ops import seq2seq
	from tensorflow.python.ops import rnn_cell

	seed = 7
	np.random.seed(7)


	def generate_sequences(sequence_num, sequence_length, batch_size):

	"""
	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)