https://github.com/yanndubs/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
https://github.com/yanndubs/disentangling-vae
beta-tcvae beta-vae celeba chairs-dataset deep-learning disentangled-representations disentanglement dsprites factor-vae fashion-mnist mnist pytorch representation-learning reproducible-research unsupervised-learning vae variational-autoencoder
Last synced: 11 months ago
JSON representation
Experiments for understanding disentanglement in VAE latent representations
- Host: GitHub
- URL: https://github.com/yanndubs/disentangling-vae
- Owner: YannDubs
- License: other
- Created: 2019-01-30T22:21:55.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2023-02-02T10:08:07.000Z (about 3 years ago)
- Last Synced: 2024-10-14T11:48:47.450Z (over 1 year ago)
- Topics: beta-tcvae, beta-vae, celeba, chairs-dataset, deep-learning, disentangled-representations, disentanglement, dsprites, factor-vae, fashion-mnist, mnist, pytorch, representation-learning, reproducible-research, unsupervised-learning, vae, variational-autoencoder
- Language: Python
- Homepage:
- Size: 222 MB
- Stars: 792
- Watchers: 14
- Forks: 144
- Open Issues: 10
-
Metadata Files:
- Readme: README.md
- License: LICENSE