JakobHavtorn / hvae-oodd
Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"
☆30Updated 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
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆91Updated 4 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated 9 months ago
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆85Updated last month
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated 2 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆45Updated 2 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆100Updated 5 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆82Updated 6 years ago
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆128Updated last year
- ☆32Updated 5 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 5 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- ☆147Updated 2 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 6 years ago
- ☆75Updated 9 months ago
- Code for Diff-SCM paper☆94Updated last year
- ☆89Updated 5 years ago
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 3 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆33Updated 3 years ago
- A σ-VAE implementation in PyTorch☆97Updated 3 years ago
- (CVPR 2020) Guided-VAE: Guided Variational Autoencoder for Disentanglement Learning☆25Updated 3 years ago
- Distributional Sliced-Wasserstein distance code☆49Updated 7 months ago
- Multimodal Mixture-of-Experts VAE☆197Updated last year
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆76Updated 2 years ago
- Quantitative evaluation of disentangled representations☆62Updated 6 years ago