/adv-ml-units

Repository for the Advanced Topics in Machine Learning practica (@ UniTS, Spring 2023)

Primary LanguageJupyter NotebookMIT LicenseMIT

Advanced Topics in Machine Learning 2024/2025

Elective course for the Data Science and Scientific Computing M.Sc. programme @ University of Trieste

Lecturer: Fabio Anselmi (email: fabio.anselmi@units.it)

Labs:

  • Lab 1: Kernels and features (solved)

  • Lab 2: Kernelized machine learning (solved)

  • Lab 3: Deep Learning with PyTorch (not an actual exercise notebook; already "solved"!)

  • Lab 4a: Effect of data augmentation on learned weights (solved)

  • Lab 4b: Invariance in a shallow FCN under data augmentation (solved)

  • Lab 5: Invariance and Equivariance in a CNN (solved)

  • Lab 6: The Hubel-Wiesel model for cortical networks (solved)

  • Lab 7: Deep sets and permutation equivariance (solved)

  • Lab 8: Implicit bias of gradient descent in linear regression (solved)

Challenges:

Please, fill the (very short) Final Projects form as soon as possible, to receive early feedback on the exam project! Thanks!