mtg

Music Technology Group - Universitat Pompeu Fabra
GitHub
maest
MAEST is a family of Transformer models based on PASST and focused on music analysis applications. The MAEST models are also available for inference in the Essentia library and for inference and training in the official repository.
Updated
50 runs

music-arousal-valence
Regression of musical arousal and valence values
Updated
4.3K runs
music-approachability-engagement
Classification of music approachability and engagement
Updated
1.7K runs

effnet-discogs
An EfficientNet for music style classification by 400 styles from the Discogs taxonomy
Updated
37.5K runs

music-classifiers
Transfer learning models for music classification by genres, moods, and instrumentation
Updated
3.5K runs
musical-version-identification
Updated
173 runs