Tutorials & Notebooks

Hands-on course materials in Jupyter Notebook format — publicly available on GitHub.

Course Tutorials

The tutorials below are hosted as public GitHub repositories. Clone the repo to work through the materials at your own pace — no sign-in required.

Agentic Conversational Search

IRTM — DACS, Maastricht University

Thirteen hands-on tutorials covering the full text-to-retrieval pipeline: from tokenisation and indexing to TF-IDF ranking, language models, neural retrieval, and systematic evaluation. All materials are implemented in Python and Jupyter Notebook.

Topics: Text preprocessing · Inverted indices · Ranking models · Evaluation metrics · Neural IR

Open on GitHub →

Advanced Natural Language Processing

ANLP — DACS, Maastricht University

Advanced NLP course covering modern transformer-based approaches: sequence modelling, fine-tuning pre-trained language models, RLHF, and applied NLP tasks. Predominantly Jupyter Notebook with GPU support via CUDA.

Topics: Transformers · Fine-tuning · RLHF · Sequence labelling · Applied NLP

Open on GitHub →