How to Setup a New Ubuntu Machine for Machine Learning Projects

Image from www.atriainnovation.com

In this blog I keep track of what I have configured my new Ubuntu machine for machine learning projects.

Part 1: System Setting

(1) Operating system

Ubuntu 18.04/22.04 LTS

(2) Settings from previous Ubuntu machine

• .ssh
• .bashrc
• .hgrc

(3) GPU

a) check the GPU information by using

`sudo lshw -c video`, and you will know what kind of GPU you have in your PC.

b) `sudo ubuntu-drivers devices` find the GPU driver version that is recommended

c) install the recommended version `sudo apt install nvidia-driver-version-number` or use `sudo ubuntu-drivers autoinstall`, letting the computer choose the recommended GPU driver version for you. Keep an eye on the connection between GPU driver version and CUDA version: your GPU driver version will determine what kind of CUDA you can use in the container (as well as the host machine).

d) reboot the machine

e) nvidia-smi

(4) Docker

a) Install Docker Docker

b) Install Docker Container Toolkit

Part 2: Apps

• Terminator sudo apt-get install terminator
• How to Install Visual Studio Code on Ubuntu 18.04
• conda

curl -o ~/miniconda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
chmod +x ~/miniconda.sh && \
~/miniconda.sh -b && \
rm ~/miniconda.sh && \
conda update conda && \
conda update --all

• pycharm

#option 1
umake ide pycharm /root/.local/share/umake/ide/pycharm
#option 2
curl
#postprocessing
echo 'export PATH="$PATH:/opt/pycharm/bin"' >> ~/.bashrc

see How to Install Anaconda in Ubuntu 22.04

• sqlitebrowser

apt-get install sqlitebrowser

• vlc for .mp3

sudo apt-get install vlc

• documentation with markdown

sudo apt-get install texlive-latex-base
sudo apt-get install texlive-fonts-recommended texlive-latex-recommended
sudo apt install texlive-pictures
sudo apt-get install pandoc

• mkdocs

We normally install mkdocs in a new Conda environment, where we will install the following packages:

# install mkdocs in the environment 
mkdocs==1.3.0
mkdocs-autorefs==0.4.1
mkdocs-jupyter==0.21.0
mkdocs-material==8.3.3
mkdocs-material-extensions==1.0.3
mkdocstrings==0.19.0