I'm Edson Borin, an Associate Professor at the Institute of Computing, Unicamp.
This repository contains a collection of notebooks I created to support the learning process in my Self-Supervised Learning (SSL) course.
Notebooks 00 to 05 are designed to help students get up to speed with PyTorch and review essential machine learning concepts.
From Notebook 06 onwards, the focus shifts to Self-Supervised Learning (SSL) techniques.
Several notebooks in this repository were inspired by or adapted from Daniel Bourke's excellent PyTorch Deep Learning course on GitHub. If you find this material — or Daniel's — helpful, consider giving the projects a ⭐ or follow to show your support! r support!