alexlyzhov / latent-subspaces
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
- Learning Autoencoders with Relational Regularization☆45Updated 4 years ago
- Dirichlet-Variational Auto-Encoder by PyTorch☆22Updated last year
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆46Updated 4 years ago
- ☆68Updated 5 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆34Updated 4 years ago
- Deep Generative Models (Chainer)☆10Updated 7 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆70Updated 2 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated 4 months ago
- Self-Explaining Neural Networks☆13Updated last year
- A minimal pytorch implementation of VAE, IWAE, MIWAE☆47Updated 2 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 4 years ago
- Code for Invariant Rep. Without Adversaries (NIPS 2018)☆35Updated 5 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆37Updated 11 months ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 6 years ago
- Original implementation of Separated Paths for Local and Global Information framework (SPLIT) in TensorFlow 2.☆19Updated last year
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆83Updated 2 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆30Updated 3 years ago
- Implementation of the Neural Clustering Process algorithm in Pytorch☆31Updated 4 years ago
- LVAE: Ladder Variational Auto-Encoders (NIPS 2016) with TensorFlow.☆16Updated 7 years ago
- ☆17Updated 5 years ago
- Some unsupervised algorithms☆7Updated 5 years ago
- ☆20Updated 4 years ago
- Project page for paper Self-supervised Representation Learning with Relative Predictive Coding☆17Updated 3 years ago
- ☆89Updated 5 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆100Updated 5 years ago