justinkamerman

#!/usr/bin/python -u
#
# Usage: ./trace.py <tweetId>
#

import sys
import tweepy
import Queue
import time
import json

andrejbauer

floriangeigl

INSTALLATION OF GRAPH-TOOL FROM SOURCE

System

• OS : Ubuntu 14.04.1 LTS Desktop 64-bit (http://www.ubuntu.com/download/alternative-downloads#external)
• Python Distribution : Anaconda Python (https://store.continuum.io/cshop/anaconda/)

If you have gcc > 5.0 installed on your server you can use my anaconda package which I compiled with openmp and boost 1.60: just use conda install graph-tool -c floriangeigl -c msarahan -c conda-forge -c bioconda -c ostrokach -c vgauthier -c salford_systems to install it.

filitchp

This is a guide for installing OpenCV 3.1 on Ubuntu 16.04 with Cuda 8 support. This has been tested using a system with a GeForce GTX 1060 and on one with a GeForce GTX 1080.

Nvidia Drivers with Compiz

Install Nvidia drivers

# Start clean
sudo apt purge nvidia-*
# Add the PPA
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt update

mjdietzx

#!/bin/bash

# install CUDA Toolkit v8.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-get update
sudo apt-get -y install cuda

tanutarou