Posté par: Paola Palumbo Il y a 1 année, 8 mois
Creative Machine Learning
Creative Machine Learning course and notebooks in JAX, PyTorch and Numpy.
Course given both at the University of Tokyo (Japan) and Sorbonne Université (Paris, France)Professor: Philippe Esling
Lessons • Setup • Administrative • Detailed lessons • Contribution • About
This repository contains the courses in machine learning applied to music and other creative mediums. This course is currently given at the University of Tokyo (Japan), and along the ATIAM Masters at IRCAM, Sorbonne Paris (France). The courses slides along with a set of interactive Jupyter Notebooks will be updated along the year to provide all the ML program. This course is proudly provided by the ACIDS team. This course can be followed entirely online through the set of Google slides and Colab notebooks links provided openly along each lesson. However, we do recommend to fork the entire environment and follow the interactive notebooks through Jupyter lab to develop your own coding environment.
You can join online for free each Thursday 14h55 à 16h40 from Japan
https://u-tokyo-ac-jp.zoom.us/j/81363691008?pwd=cmxiRURMdm9udXBKbTNjQkZvblNFQT09#success
https://github.com/acids-ircam/creative_ml
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