gabinsane / multimodal-vae-comparisonLinks
Code for comparison of multimodal VAE models
☆29Updated 4 months ago
Alternatives and similar repositories for multimodal-vae-comparison
Users that are interested in multimodal-vae-comparison are comparing it to the libraries listed below
Sorting:
- Multimodal Mixture-of-Experts VAE☆214Updated 2 years ago
- A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)☆158Updated 7 years ago
- ☆12Updated 11 months ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆30Updated 3 years ago
- ☆22Updated last year
- Code release for ICLR 2021 paper "Generalised Multimodal ELBO"☆41Updated 2 years ago
- 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…☆127Updated 2 years ago
- Code for Diff-SCM paper☆97Updated 2 years ago
- [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression☆123Updated last year
- Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…☆40Updated 2 years ago
- Benchmark study of quality and faithfulness of counterfactual image generation☆27Updated 5 months ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.☆53Updated last year
- Contrastive Variational Autoencoders☆69Updated 6 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- counterfactuals for magnetic resonance images of multiple sclerosis☆26Updated 4 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Code for "Generative causal explanations of black-box classifiers"☆35Updated 4 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆86Updated 2 years ago
- A brief tutorial on the Wasserstein auto-encoder☆84Updated 6 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆45Updated 5 years ago
- Gaussian Process Prior Variational Autoencoder☆85Updated 6 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Dirichlet-Variational Auto-Encoder by PyTorch☆23Updated this week
- VAEs and nonlinear ICA: a unifying framework☆38Updated 5 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 3 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆128Updated 2 years ago
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"☆19Updated 4 years ago