NightMachinery

# ag <https://github.com/ggreer/the_silver_searcher>
# from=str1 to=sth agr path1 path2 ...
# backs up to .pbak

comment() { 
}
doc() { 
}
function agr { 
doc 'usage: from=sth to=another agr [ag-args]'

cyberang3l

https://github.com/aancel/admin/wiki/VirtualGL-on-Ubuntu

https://virtualgl.org/About/Introduction

https://www.turbovnc.org

VirtualGL

When you use ssh with X forwarding, you might have noticed that you cannot execute programs that require 3D acceleration. That's where VirtualGL comes into play.

cvcore

;;
;; 28.07.2017
;; Charles Wang
;;

;;;;;;; Tweaks for Org & org-latex ;;;;;;

(defvar cw/org-last-fragment nil
  "Holds the type and position of last valid fragment we were on. Format: (FRAGMENT_TYPE FRAGMENT_POINT_BEGIN)"
  )

whizzzkid

# Instructions for 4.14 and cuda 9.1
# If upgrading from 4.13 and cuda 9.0
$ sudo apt-get purge --auto-remove libcud*
$ sudo apt-get purge --auto-remove cuda*
$ sudo apt-get purge --auto-remove nvidia*
# also remove the container directory direcotory at /usr/local/cuda-9.0/

# Important libs required with 4.14.x with Cuda 9.X
$ sudo apt install libelf1 libelf-dev

karpathy

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

snorfalorpagus

"""
This script demonstrates the use of nested transactions in SQLAlchemy, including
a workaround for an issue with the SQLite backend.

References:
http://docs.sqlalchemy.org/en/latest/orm/session_transaction.html#using-savepoint
http://docs.sqlalchemy.org/en/latest/dialects/sqlite.html#serializable-isolation-savepoints-transactional-ddl
"""

from sqlalchemy import Column, String, Integer

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)

kimus

UFW

I use Ubuntu’s Uncomplicated firewall because it is available on Ubuntu and it's very simple.

Install UFW

if ufw is not installed by default be sure to install it first.