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@iansheridan
iansheridan / git-cheat-sheet.md
Created March 15, 2011 14:25
A cheat sheet for GIT

Setup

git clone <repo>

clone the repository specified by ; this is similar to "checkout" in some other version control systems such as Subversion and CVS

Add colors to your ~/.gitconfig file:

@tylerneylon
tylerneylon / learn.lua
Last active April 18, 2025 07:19
Learn Lua quickly with this short yet comprehensive and friendly script. It's written as both an introduction and a quick reference. It's also a valid Lua script so you can verify that the code does what it says, and learn more by modifying and running this script in your Lua interpreter.
-- Two dashes start a one-line comment.
--[[
Adding two ['s and ]'s makes it a
multi-line comment.
--]]
----------------------------------------------------
-- 1. Variables and flow control.
----------------------------------------------------
@anytizer
anytizer / qr code generators.txt
Created July 30, 2014 05:43
List of online QR Code Generators
http://qrdroid.com/generate/
https://chrome.google.com/webstore/detail/the-qr-code-generator/s
http://www.waspbarcode.com/qr-code-generator
http://www.visualead.com/qurify2/
http://www.visualead.com/qr-code-generator/
http://delivr.com/qr-code-generator
https://scan.me/qr-code-generator
http://qrcode.littleidiot.be/
http://www.qrcode-monkey.com/
https://www.unitag.io/qrcode
@karpathy
karpathy / min-char-rnn.py
Last active April 21, 2025 10:52
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
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)
@karpathy
karpathy / pg-pong.py
Created May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" 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
@doctorpangloss
doctorpangloss / install_caffe.sh
Last active October 16, 2024 14:28
Installing Caffe on Mac 10.11.5 and later in the 10.11 series, and 10.12.1 and later in the 10.12 series
#!/bin/sh
# Install brew
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
# Apple hides old versions of stuff at https://developer.apple.com/download/more/
# Install the latest XCode (8.0).
# We used to install the XCode Command Line Tools 7.3 here, but that would just upset the most recent versions of brew.
# So we're going to install all our brew dependencies first, and then downgrade the tools. You can switch back after
# you have installed caffe.
# Install CUDA toolkit 8.0 release candidate
# Register and download from https://developer.nvidia.com/cuda-release-candidate-download