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A repository containing resources for pre-training, fine-tuning, and evaluating musical (MIDI) transformer models.

Note that this project is under active development. To get involved see the Neuro-Symbolic Music Models channel on the EleutherAI Discord.

The main goal of the gpt-aria project is to create a suite of powerful pre-trained generative (symbolic) music models. We want to investigate how modern training (pre-training & fine-tuning) techniques can be used to improve the quality/usefulness of such models. Alongside this we are building various data (MIDI) preprocessing tools, allowing you to easily fine-tune our models on your own data.

If you are new to symbolic music models, a good place to start are the following projects/blogposts by Google Magenta and OpenAI:

• Music Transformer
• MuseNet

Some early (experimental) samples: Mozart, Bach, Debussy. Long story short: Transformer + MIDI + GPUs = 🎵 x ∞

Make sure you are using Python 3.10+. Note that I haven't explicitly developed this project for anything other than Linux. If you are using Windows, things might not work properly. In this case I suggest installing using WSL.

git clone https://github.com/eleutherai/aria
cd aria
pip install -e .