Jupyter Notes

Coming back to ML and JupyterLab notebooks. Some notes.

Installation / Run (Quick)

Running in docker is a cleanest way. Use this script [/scripts/jupyter.sh] or:

curl -sL https://aleksandr.vin/scripts/jupyter.sh | bash

To run a docker container jupyter/pytorch-notebook with JupyterLabs locally. Token will be hello+there.

Tutors

1. Transformers pipeline: https://huggingface.co/docs/transformers/pipeline_tutorial

2. Scikit-learn: https://scikit-learn.org/stable/getting_started.html

3. Image processing: https://datacarpentry.github.io/image-processing/

4. Scikit-optimize: https://scikit-optimize.github.io/stable/