abidlabs / contrastive_vaeLinks
Contrastive Variational Autoencoders
☆67Updated 6 years ago
Alternatives and similar repositories for contrastive_vae
Users that are interested in contrastive_vae are comparing it to the libraries listed below
Sorting:
- Multimodal Mixture-of-Experts VAE☆207Updated last year
- Implementation of a model to make VAE and GMM train from each other☆26Updated 3 years ago
- This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".☆34Updated 3 years ago
- A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)☆159Updated 6 years ago
- Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…☆40Updated last year
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆30Updated 3 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- A Variational Information Bottleneck Approach to Multi-Omics Data Integration☆23Updated 4 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆53Updated 4 years ago
- Alignment between clustered datasets via hierarchical Wasserstein distance☆38Updated last year
- Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence☆18Updated 2 years ago
- VAEs and nonlinear ICA: a unifying framework☆47Updated 5 years ago
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- Code for Neural Manifold Clustering and Embedding☆59Updated 3 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆102Updated 5 years ago
- PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction☆31Updated 3 years ago
- ☆46Updated 4 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆46Updated 2 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
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆54Updated 2 years ago
- A tutorial on learned non-adversarial invariance in neural networks☆13Updated 5 years ago
- VAEs and nonlinear ICA: a unifying framework☆35Updated 4 years ago
- Implementation of "Learning latent subspaces in variational autoencoders"☆20Updated 5 years ago
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆47Updated 4 years ago
- Code for comparison of multimodal VAE models☆29Updated 2 weeks ago
- Code for Diff-SCM paper☆96Updated last year
- Generalizing to unseen domains via distribution matching☆72Updated 4 years ago