mhw32 / multimodal-vae-public
A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)
☆159Updated 6 years ago
Alternatives and similar repositories for multimodal-vae-public:
Users that are interested in multimodal-vae-public are comparing it to the libraries listed below
- Multimodal Mixture-of-Experts VAE☆202Updated last year
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆70Updated 3 years ago
- Disentanglement library for PyTorch☆276Updated 3 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆204Updated 6 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- ☆91Updated 5 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆348Updated 2 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Code for comparison of multimodal VAE models☆29Updated last year
- Contrastive Variational Autoencoders☆65Updated 6 years ago
- Quantitative evaluation of disentangled representations☆62Updated 7 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 7 years ago
- Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence☆18Updated 2 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆102Updated 5 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆30Updated 3 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆268Updated 6 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆38Updated 4 years ago
- Implementation of a model to make VAE and GMM train from each other☆26Updated 3 years ago
- An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.☆307Updated last year
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- ☆68Updated 6 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆43Updated 7 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆124Updated last year
- ☆75Updated 3 weeks ago
- A PyTorch library for two-sample tests☆239Updated last year
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago