This is a repository for the tutorial/coursework during HS2024 for the course 401-4656-21L AI in the Sciences and Engineering at ETH Zürich.
In the course the provided tutorials are all written in python, this repository is following the tutorials in class, but using the Julia package NeuralPDE.jl instead.
It serves as entertainment purposes. 😇
| Tutorial | Topic | Completed |
|---|---|---|
| Tutorial 03 | PINN Training | ✅ |
| Tutorial 04 | PINNs for Inverse Problems | |
| Tutorial 05 | Operator Learning - Fourier Neural Operator | |
| Tutorial 06 | Operator Learning - Convolutional Neural Operator | |
| Tutorial 07 | Introduction to Graph Neural Networks | |
| Tutorial 08 | Vision Transformers for solving PDEs | |
| Tutorial 09 | Denoising Diffusion Probabilistic Models | |
| Tutorial 10 | Coding Autodiff | |
| Tutorial 11 | Introduction to JAX, NDEs, and Diffusion Models |