alexlyzhov / latent-subspacesLinks
Implementation of "Learning latent subspaces in variational autoencoders"
☆20Updated 5 years ago
Alternatives and similar repositories for latent-subspaces
Users that are interested in latent-subspaces are comparing it to the libraries listed below
Sorting:
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆85Updated 3 years ago
- Variational auto encoder in pytorch☆57Updated 6 years ago
- Gaussian Process Prior Variational Autoencoder☆87Updated 7 years ago
- ☆91Updated 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 Autoencoders with Relational Regularization☆46Updated 5 years ago
- ☆66Updated 6 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- A brief tutorial on the Wasserstein auto-encoder☆86Updated 6 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆93Updated 4 years ago
- ☆149Updated 3 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆47Updated 5 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆102Updated 7 years ago
- Multimodal Mixture-of-Experts VAE☆220Updated 2 years ago
- A minimal pytorch implementation of VAE, IWAE, MIWAE☆48Updated 3 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- ☆29Updated 4 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆41Updated last year
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆31Updated 3 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 5 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆61Updated 7 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆33Updated 4 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆65Updated 4 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago