Saswatm123 / MMD-VAELinks
Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Information between the Isotropic Gaussian Prior (as the latent space) and the Data Distribution.
☆56Updated 4 years ago
Alternatives and similar repositories for MMD-VAE
Users that are interested in MMD-VAE are comparing it to the libraries listed below
Sorting:
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆102Updated 5 years ago
- ☆68Updated 6 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆73Updated 5 years ago
- ☆87Updated 3 years ago
- A Tensorflow implementation Mutual Information estimation methods☆47Updated 2 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Disentanglement library for PyTorch☆278Updated 3 years ago
- ☆149Updated 3 years ago
- ☆42Updated 3 years ago
- Hyperspherical Prototype Networks☆67Updated 5 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 4 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
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Implementation of "Learning latent subspaces in variational autoencoders"☆20Updated 5 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆204Updated 6 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- Variational auto encoder in pytorch☆56Updated 6 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated 2 years ago
- Implementation and datasets for Efficient Domain Generalization via Common-Specific Low-Rank Decomposition (https://arxiv.org/abs/2003.12…☆52Updated 4 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆47Updated 5 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆195Updated 7 years ago
- ☆66Updated 5 years ago
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆90Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Implementation of Multi-View Information Bottleneck☆134Updated 5 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 4 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆92Updated 4 years ago