uvadlc_notebooks

Why we included this project

These notebooks come out of the University of Amsterdam's MSc AI deep learning course, where they pair the lecture theory with working code. Each one walks a concrete topic through real PyTorch implementations, and the set is written to run on a laptop CPU, so anyone can experiment without needing a GPU. The same material also exists in JAX+Flax translations, which makes it handy for teams comparing framework styles. It's a teaching resource rather than software you'd deploy, but for self-learners and educators putting together their own courses it's a dependable reference for how modern deep learning models are actually assembled.