This repository contains the code to reproduce figures, metrics, and models for the 2026 version of the course.
You may inspect the notebooks in this repository or run them in Google Collab by simply clicking on the links below (Read-only view by default. You’re prompted (or can choose) to “File → Save a copy in Drive” which will enable running and editing cells).
As an alternative, you can install Jupyter on your local machine.
- ML Intro:
- ML Process:
- BWT: Code examples in Python for Burrows-Wheeler Transform (BWT) and inverse BWT operation.
- Biomedical_NLP:
- LLMs:
- Neural Networks:
- Word Embeddings:
- Clustering:
