In this repository we host the resources for the Machine learning for quantum and classical systems subject in the MSc in Quantum science and technology.
You will find the code, slides and homework of the hands-on sessions organized in one folder per main topic:
- 00 - General introduction to classical machine learning (Borja)
- 01 - Deep learning for computer vision (Alexandre and Gabriel)
- 02 - Interpretability techniques (Anna)
- 03 - Natural Language Processing (Korbinian)