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A gentle introduction to ML for music generation, covering both symbolic and audio aspects

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Artificial Models Music Creativity

A gentle introduction to ML for music generation, covering both symbolic and audio aspects

This repository contains the materials (slides, code and exercises) of the educational activities conducted during the Artificial Models for Music Creativity class at Hochschule für Musik und Theater Hamburg, held during the Winter Semester 2023/2024. Please ensure to visit also https://github.com/anatrini/Performance-RNN-PyTorch containing a custom porting to PyTorch of no longer maintened Magenta's Performance-RNN model.

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A gentle introduction to ML for music generation, covering both symbolic and audio aspects

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