| matthewvowels1/Awesome-VAEs |
448 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
|
|
| A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models. |
| ermongroup/Variational-Ladder-Autoencoder |
198 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Python |
| Implementation of VLAE |
| Lupin1998/Awesome-MIM |
178 |
|
0 |
0 |
about 2 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| [Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897) |
| QhelDIV/ShapeFormer |
161 |
|
0 |
0 |
about 2 years ago |
0 |
|
10 |
|
Python |
| Official repository for the ShapeFormer Project |
| jmtomczak/vae_vampprior |
151 |
|
0 |
0 |
almost 8 years ago |
0 |
|
2 |
mit |
Python |
| Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling |
| hongyehu/RG-Flow |
65 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Python |
| This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029 |
| jmtomczak/vae_householder_flow |
53 |
|
0 |
0 |
about 9 years ago |
0 |
|
1 |
|
Python |
| Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630) |
| addtt/ladder-vae-pytorch |
31 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| Ladder Variational Autoencoders (LVAE) in PyTorch |
| ImKeTT/CTG-latentAEs |
27 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
apache-2.0 |
|
| Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome. |
| ioangatop/srVAE |
20 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
mit |
Python |
| VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218 |
