JakobHavtorn / hvae-ooddLinks
Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"
☆31Updated 3 years ago
Alternatives and similar repositories for hvae-oodd
Users that are interested in hvae-oodd are comparing it to the libraries listed below
Sorting:
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆93Updated 4 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 2 years ago
- Multimodal Mixture-of-Experts VAE☆215Updated 2 years ago
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆89Updated 9 months ago
- Disentanglement library for PyTorch☆281Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆127Updated 2 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆105Updated 5 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆75Updated 5 years ago
- ☆89Updated 3 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆61Updated 2 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆102Updated 7 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆66Updated 6 years ago
- Gaussian Process Prior Variational Autoencoder☆86Updated 6 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 5 years ago
- ☆148Updated 3 years ago
- Variational auto encoder in pytorch☆57Updated 6 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆71Updated 3 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- ☆32Updated 5 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 5 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆350Updated 3 years ago
- Quantitative evaluation of disentangled representations☆63Updated 7 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆61Updated 6 years ago
- ☆91Updated 6 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago