/Deep-Probabilistic-Models-Course

Deep Probabalistic Models: Materials for my course for the Australian Mathematical Sciences Institute (AMSI) Winter School 2021

Primary LanguageJupyter Notebook

Deep Probabilistic Models

Materials for Australian Mathematical Sciences Institute (AMSI) Winter School 2021: "Deep Probabilistic Models".

Topics covered:

  • Flow-Based Models
  • Generative Adversarial Networks
  • Deep Latent Variable Models and Variational Learning
  • Variational Autoencoders

Slides are available at: https://robsalomone.com/course-deep-probabilistic-models/

Examples are implemented using PyTorch and Pyro.