The simplest way to do this will be create a pip virtual env (as per current readme descriptions), install the packages, and make sure that all notebooks run without problem -> if so, then can save as requirements.yml file and add a description to the readme for installing those dependencies
The simplest way to do this will be create a pip virtual env (as per current readme descriptions), install the packages, and make sure that all notebooks run without problem -> if so, then can save as requirements.yml file and add a description to the readme for installing those dependencies