Probabilistic Modeling

Hands-on training in Simulation-Based Inference (SBI), designed for applications in neuroscience, astrophysics, and biology. Developed in collaboration with the University of Tübingen and the TransferLab at the appliedAI Institute for Europe.

The SBI Python package provides tools for simulation-based Bayesian inference, enabling researchers to estimate parameters in models across neuroscience, astrophysics, and more.