bigaidream

#!/public/spark-0.9.1/bin/pyspark

import os
import sys

# Set the path for spark installation
# this is the path where you have built spark using sbt/sbt assembly
os.environ['SPARK_HOME'] = "/public/spark-0.9.1"
# os.environ['SPARK_HOME'] = "/home/jie/d2/spark-0.9.1"
# Append to PYTHONPATH so that pyspark could be found

kylemcdonald

# tested on AWS p2.xlarge August 29, 2018

# install CUDA
sudo apt-get update && sudo apt-get install wget -y --no-install-recommends
CUDA_URL="https://developer.nvidia.com/compute/cuda/9.2/Prod2/local_installers/cuda-repo-ubuntu1604-9-2-local_9.2.148-1_amd64"
wget -c ${CUDA_URL} -O cuda.deb
sudo dpkg --install cuda.deb
sudo apt-key add /var/cuda-repo-9-2-local/7fa2af80.pub
sudo apt-get update
sudo apt-get install -y cuda

jonschoning

#   This file is part of VISVIS. This file may be distributed 
#   seperately, but under the same license as VISVIS (LGPL).
#    
#   images2gif is free software: you can redistribute it and/or modify
#   it under the terms of the GNU Lesser General Public License as 
#   published by the Free Software Foundation, either version 3 of 
#   the License, or (at your option) any later version.
# 
#   images2gif is distributed in the hope that it will be useful,
#   but WITHOUT ANY WARRANTY; without even the implied warranty of

YuchenJin

sofyan-ahmad

# Make sure you grab the latest version
curl -OL https://github.com/google/protobuf/releases/download/v3.2.0/protoc-3.2.0-linux-x86_64.zip

# Unzip
unzip protoc-3.2.0-linux-x86_64.zip -d protoc3

# Move protoc to /usr/local/bin/
sudo mv protoc3/bin/* /usr/local/bin/

# Move protoc3/include to /usr/local/include/

havenwood

##
# A non-root installation of the latest Ruby with chruby

# Install chruby (https://github.com/postmodern/chruby#readme)
mkdir -p $HOME/src
cd $HOME/src
wget -O chruby-0.3.9.tar.gz https://github.com/postmodern/chruby/archive/v0.3.9.tar.gz
tar -xzvf chruby-0.3.9.tar.gz
cd chruby-0.3.9/
PREFIX=$HOME/.chruby make install

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

bogdan-kulynych

# WARNING: These steps seem to not work anymore!

#!/bin/bash

# Purge existign CUDA first
sudo apt --purge remove "cublas*" "cuda*"
sudo apt --purge remove "nvidia*"

# Install CUDA Toolkit 10
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb

chriskiehl

#Giant dictonary to hold key name and VK value
VK_CODE = {'backspace':0x08,
           'tab':0x09,
           'clear':0x0C,
           'enter':0x0D,
           'shift':0x10,
           'ctrl':0x11,
           'alt':0x12,
           'pause':0x13,
           'caps_lock':0x14,

Tras2

#!/bin/bash

# A bash script to update a Cloudflare DNS A record with the external IP of the source machine
# Used to provide DDNS service for my home
# Needs the DNS record pre-creating on Cloudflare

# Proxy - uncomment and provide details if using a proxy
#export https_proxy=http://<proxyuser>:<proxypassword>@<proxyip>:<proxyport>

# Cloudflare zone is the zone which holds the record