MikolajSzawerda/music-sae
Sparse Autoencoders (SAEs) for unsupervised music representation learning.
22
/ 100
Experimental
No License
No Package
No Dependents
Maintenance
6 / 25
Adoption
3 / 25
Maturity
1 / 25
Community
12 / 25
Stars
4
Forks
1
Language
Jupyter Notebook
License
—
Last pushed
Nov 09, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/MikolajSzawerda/music-sae"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mseitzer/pytorch-fid
Compute FID scores with PyTorch.
67
Naresh1318/Adversarial_Autoencoder
A wizard's guide to Adversarial Autoencoders
63
acids-ircam/RAVE
Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
60
ratschlab/aestetik
AESTETIK: Convolutional autoencoder for learning spot representations from spatial...
56
jaanli/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
51