gabinsane / multimodal-vae-comparison
Code for comparison of multimodal VAE models
☆29Updated last year
Alternatives and similar repositories for multimodal-vae-comparison:
Users that are interested in multimodal-vae-comparison are comparing it to the libraries listed below
- ☆17Updated 9 months ago
- Multimodal Mixture-of-Experts VAE☆202Updated last year
- Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.☆52Updated 9 months ago
- A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)☆159Updated 6 years ago
- Code release for ICLR 2021 paper "Generalised Multimodal ELBO"☆39Updated 2 years ago
- [NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy☆66Updated last year
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆30Updated 3 years ago
- Code for Diff-SCM paper☆96Updated last year
- Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence☆18Updated 2 years ago
- Dirichlet-Variational Auto-Encoder by PyTorch☆22Updated 2 years ago
- GAN-based method to create counterfactual explanations for chest X-rays☆24Updated 2 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- [NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal Interactions☆73Updated 6 months ago
- Code for "Generative causal explanations of black-box classifiers"☆34Updated 4 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- Contrastive Variational Autoencoders☆65Updated 6 years ago
- We introduce a way to extend sparse dictionary learning to deep architectures.☆16Updated 3 years ago
- A Variational Information Bottleneck Approach to Multi-Omics Data Integration☆22Updated 3 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- ☆17Updated last year
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆128Updated 2 years ago
- Benchmark study of quality and faithfulness of counterfactual image generation☆22Updated last week
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆19Updated last year
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.☆33Updated 4 years ago
- Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…☆40Updated last year
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆51Updated 3 years ago
- Implementation of a model to make VAE and GMM train from each other☆26Updated 3 years ago
- A modular implementation of product of experts VAEs for multimodal data☆11Updated 3 years ago