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vae-drum-machine
kevin-bretz/vae-drum-machine
vae-drum-machine is a machine learning model from kevin-bretz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as mit.
Trained checkpoints and processed data for a variational autoencoder that generates and interpolates drum one-shots in Meta EnCodec token space.
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Public
Updated Jul 9, 2026
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.zip768 MB · 60%
At a glance
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Jul 9, 2026
- Updated
- Jul 9, 2026
- SHA
- 69e60932
Model card
From the Hugging Face model README
VAE Drum Machine — data & checkpoints
Trained checkpoints and processed data for a variational autoencoder that generates and interpolates drum one-shots in Meta EnCodec token space.
Code and full write-up: https://github.com/kevin-bretz/VAEDrumMachine
Checkpoints (checkpoints/)
model.pt— trained VAE.vae_encodec_checkpoint_epoch_660.pt,vae_encodec_checkpoint_epoch_840.pt— intermediate training checkpoints.
Data (data/)
encodec_cache.zip— EnCodec token cache.Colab_Data.zip— processed training data used on Colab.
- Library
- pytorch
- License
- mit
- Created
- Jul 9, 2026
- Updated
- Jul 9, 2026