/neural-ode-tutorial

Neural ODE tutorial

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Neural ODE Tutorial

My lecture notes at Nordic Probabilistic AI School 2022. The lecture content is under this notebook (the notebook does not render on browser due to its size).

  • Requires numpy, scipy, matplotlib, sklearn, Pillow, torch, torchdiffeq, torchvision.
  • This folder contains trained models, datasets and visualizations. You should place etc folder insinde this repo.

The notebook contains the following sections:

  1. Formal Descriptions of ODEs
  2. Neural ODEs
  3. Latent Bayesian Neural ODEs
  4. ResNets are Discretized ODEs
  5. Continuous-time Normalizing Flows
  6. Related Studies