Setting up a MSI laptop with GPU (gtx1060)
Installing Ubuntu 18.04, CUDA, CDNN, Pytorch and TensorFlow
Installing Ubuntu 18.04
Get Image
https://tutorials.ubuntu.com/tutorial/tutorial-create-a-usb-stick-on-ubuntu#0
https://tutorials.ubuntu.com/tutorial/tutorial-create-a-usb-stick-on-ubuntu#0
sudo apt-get install python-software-properties | |
sudo add-apt-repository ppa:ubuntu-toolchain-r/test | |
sudo apt-get update | |
sudo apt-get install gcc-4.9 | |
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.9 50 | |
sudo apt-get install g++-4.9 | |
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.9 50 |
from tsne import bh_sne | |
import numpy as np | |
from skimage.transform import resize | |
from matplotlib import pyplot as plt | |
def gray_to_color(img): | |
if len(img.shape) == 2: | |
img = np.dstack((img, img, img)) | |
return img |
# Scrapes CRAN archives to determine the number of packages per release | |
# Create a list of pages to scrape, including both archive and current | |
extract_url <- function(){ | |
url <- list( | |
archive = "https://cran-archive.r-project.org/bin/windows/contrib/", | |
active = "https://cran.r-project.org/bin/windows/contrib/" | |
) | |
get_urls <- function(url){ |
<!doctype HTML> | |
<meta charset = 'utf-8'> | |
<html> | |
<head> | |
<link rel='stylesheet' href='http://nvd3.org/assets/css/nv.d3.css'> | |
<script src='http://ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js' type='text/javascript'></script> | |
<script src='http://d3js.org/d3.v3.min.js' type='text/javascript'></script> | |
<script src='http://timelyportfolio.github.io/rCharts_nvd3_tests/libraries/widgets/nvd3/js/nv.d3.min-new.js' type='text/javascript'></script> | |
<script src='http://nvd3.org/assets/lib/fisheye.js' type='text/javascript'></script> |