ParthaEth / Regularized_autoencoders-RAE-Links
☆123Updated 2 years ago
Alternatives and similar repositories for Regularized_autoencoders-RAE-
Users that are interested in Regularized_autoencoders-RAE- are comparing it to the libraries listed below
Sorting:
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- ☆91Updated 6 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- Variational Autoencoder with Arbitrary Conditioning☆81Updated last year
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆80Updated 3 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆128Updated last year
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆141Updated 4 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆65Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆85Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆168Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆68Updated 4 years ago
- ☆180Updated 6 years ago
- ☆64Updated last year
- VAEs with Lie Group latent space☆99Updated 3 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆58Updated 3 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago
- ☆237Updated 6 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆120Updated 2 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆154Updated 6 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- ☆148Updated 3 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- Code for reproducing Flow ++ experiments☆190Updated 6 years ago
- ☆68Updated 2 years ago
- ☆33Updated 6 years ago
- Understanding normalizing flows☆132Updated 5 years ago