Tutorials

Hands-on materials for the summer school. Each tutorial lives in its own folder in the repository and states its own requirements and how to run it. There is no repo-wide required toolchain: some tutorials run entirely in Google Colab, some are self-contained, and the BayesFlow/HSSM notebooks share a uv environment at the tutorials/ root (see tutorials/README.md).

Tutorial	Day	Instructor	Stack	Run	Materials
Toy example — copy this pattern	—	(example)	Python · marimo + uv	uvx marimo edit --sandbox toy_example.py	folder
A tutorial on PyMC	2	Fengler	Python · PyMC + bambi (shared uv env)	or cd tutorials && uv sync	folder
Simulating data from a cognitive model	2	Fengler	Python · ssm-simulators (shared uv env)	or cd tutorials && uv sync	folder
↳ DDM explorer (interactive)	2	Fengler	browser only — nothing to install	open	folder
Toy models for parameter estimation	2	Fengler	Python · PyMC + HSSM likelihoods (shared uv env)	or cd tutorials && uv sync	folder
MCMC methods, and when inference falls apart	2	Fengler	Python · PyMC + HSSM likelihoods (shared uv env)	or cd tutorials && uv sync	folder
Amortized Bayesian inference for the DMC	3	Radev, Schaefer	Python · BayesFlow 2 (shared uv env)	cd tutorials && uv sync	folder
HSSM in thirty minutes	3	Fengler	Python · HSSM (shared uv env)	or cd tutorials && uv sync	folder
MCMC for hierarchical Bayesian models	3	Fengler, Turner	Python · PyMC + HSSM (shared uv env)	or cd tutorials && uv sync	folder
↳ Hierarchical modelling from scratch (alien coins)	3	Turner, Fengler	Python · PyMC (shared uv env)	or cd tutorials && uv sync	folder
LaseNet — recurrent networks for dynamic data	3	Pan	Colab (nothing to install)	Open in Colab	folder
Single-trial integrative joint modeling	4	Nunez	Colab (nothing to install)	workshop steps	folder

More tutorials will appear here as instructors add them (PyMC, HSSM, MATLAB Deep Learning Toolbox, VAEs, …).