Efficient-VDVAE
disentangling-vae
| Efficient-VDVAE | disentangling-vae | |
|---|---|---|
| 8 | 1 | |
| 184 | 766 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | over 1 year ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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Efficient-VDVAE
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Efficient-VDVAE: A SOTA open-source memory-efficient and stable very deep hierarchical VAE
Paper: https://arxiv.org/abs/2203.13751
- Show HN: Efficient-VDVAE an Open-source memory-efficient deep hierarchical VAE
- Efficient-VDVAE:Open-source memory-efficient deep hierarchical VAE
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[R] Efficient-VDVAE: An open-source memory-efficient and stable very deep hierarchical VAE
Code for https://arxiv.org/abs/2203.13751 found: https://github.com/Rayhane-mamah/Efficient-VDVAE
disentangling-vae
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[P] Python library for Variational Autoencoder benchmarking
There is a good repo of different beta-vae models here: https://github.com/YannDubs/disentangling-vae
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