mori97 / VaDE
A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)
☆37Updated 4 years ago
Alternatives and similar repositories for VaDE:
Users that are interested in VaDE are comparing it to the libraries listed below
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆132Updated last year
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆52Updated 4 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆335Updated 4 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…☆41Updated last year
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆37Updated last year
- Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering☆298Updated 7 years ago
- ☆22Updated 5 years ago
- Pytorch implementation of Improved Deep Embedded Clustering☆102Updated 6 years ago
- VAEs and nonlinear ICA: a unifying framework☆34Updated 4 years ago
- Code for Optimal Transport for structured data with application on graphs☆98Updated 2 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆48Updated last year
- ☆68Updated 5 years ago
- VAEs and nonlinear ICA: a unifying framework☆47Updated 5 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆213Updated 5 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆46Updated 4 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆101Updated 5 years ago
- Implementation of a model to make VAE and GMM train from each other☆27Updated 2 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆59Updated 2 years ago
- Latent space clustering in Generative Adversarial Network (GAN)☆104Updated 3 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆96Updated 3 years ago
- Original implementation of Separated Paths for Local and Global Information framework (SPLIT) in TensorFlow 2.☆19Updated last year
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated 5 months ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures☆209Updated 4 years ago
- Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"☆43Updated 5 years ago