is0383kk / Pytorch_VAE-GMMLinks
Implementation of a model to make VAE and GMM train from each other
☆27Updated 3 years ago
Alternatives and similar repositories for Pytorch_VAE-GMM
Users that are interested in Pytorch_VAE-GMM are comparing it to the libraries listed below
Sorting:
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Gaussian Process Prior Variational Autoencoder☆84Updated 6 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- VAEs and nonlinear ICA: a unifying framework☆47Updated 6 years ago
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 4 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆342Updated 4 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Contrastive Variational Autoencoders☆69Updated 6 years ago
- Multimodal Mixture-of-Experts VAE☆213Updated 2 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆37Updated 5 years ago
- Differentiable DAG Sampling (ICLR 2022)☆37Updated 3 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 5 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Dirichlet-Variational Auto-Encoder by PyTorch☆22Updated 2 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆57Updated last year
- Variational inference in Dirichlet process Gaussian mixture model (tensorflow implementation)☆13Updated 6 years ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆136Updated 2 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆47Updated 4 months ago
- A Pytorch implementation of missing data imputation using optimal transport.☆102Updated 4 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆61Updated 2 years ago
- This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".☆34Updated 3 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆41Updated last year