| license: mit | |
| library_name: pytorch | |
| tags: | |
| - variational-autoencoder | |
| - audio | |
| - music-generation | |
| - encodec | |
| # 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. | |