Install the jupyter notebook following the tutorial here.

conda install -c conda-forge jupyter_contrib_nbextensions

Check the following:

• Collapsible Headings - Defaults

pip install jupyterthemes

I personally use a variant of the grade3 theme.

Add the following lines towards the end of your ~/.jupyter/custom/custom.css file.

.output {
    display: table-cell;
    text-align: center;
    vertical-align: middle;
}

This will make plots and figure outputs centred.

Additionaly, if you've used JupyterThemes, you can style the plots by calling jtplot_style(), included with the startup script once at the top of your notebook.

Place startup.ipy from this repository into your ~/.ipython/profile_default/startup folder.

This will do all the necessary common setup including importing frequently used modules and setting up useful global variables and functions.

MagNet is a high-level library I'm developing on top of PyTorch that is aimed at making the creation, training, debugging and deployment of Deep Learning projects easy.

Clone the MagNet repository by running

git clone https://github.com/svaisakh/magnet.git

Hide the directory

mv magnet .magnet

Checkout the develop branch.

cd .magnet
git checkout develop

Add the directory to the $PYTHONPATH variable by adding the following line to your .bashrc (Ubuntu) / .bash_profile (macOS)

export PYTHONPATH=$PYTHONPATH:~/.magnet

Update by running

source ~/.bashrc or source ~/.bash_profile as appropriate

Clone the appropriate repo

git clone <repo_uri>

where <repo_uri> can be found from the GitHub page of the lesson by clicking on the green Clone or Download button.

Go into the repo

cd <repo_name>

Create the conda environment that has all the needed packages and dependencies.

conda env update

If the environment name is <env_name>, activate it

conda activate <env_name>

Add JupyterThemes (if installed)

pip install jupyterthemes

Run the Jupyter Notebooks

jupyter notebook