alawryaguila / multi-view-AE
Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.
☆51Updated 7 months ago
Alternatives and similar repositories for multi-view-AE:
Users that are interested in multi-view-AE are comparing it to the libraries listed below
- Code for comparison of multimodal VAE models☆28Updated 11 months ago
- (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models☆58Updated 9 months ago
- ☆14Updated last year
- Code for Diff-SCM paper☆94Updated last year
- Exploration of the latent space of generative models on Lung-CT scans☆16Updated 2 years ago
- An interpretable progression model for high-dimensional neuroimaging data.☆12Updated last year
- ☆18Updated 2 years ago
- Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'☆24Updated 4 years ago
- Semi-Supervised Learning for Deep Causal Generative Models☆21Updated 4 months ago
- This repository contains code to apply vision transformers on surface data☆31Updated 2 months ago
- This is the project about simulating the ageing brain.☆29Updated 3 years ago
- Data Augmentation with Variational Autoencoders (TPAMI)☆139Updated 2 years ago
- Official Pytorch Implementation for y-Aware Contrastive Learning☆57Updated last year
- Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data (Pytorch)☆17Updated 2 years ago
- GAN-based method to create counterfactual explanations for chest X-rays☆24Updated 2 years ago
- ☆76Updated last year
- This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…☆62Updated 2 years ago
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆53Updated 2 years ago
- [ICASSP 2025] ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal …☆11Updated last week
- INSPECT dataset/benchmark paper, accepted by NeurIPS 2023☆28Updated 6 months ago
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆86Updated 2 months ago
- Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…☆40Updated last week
- ☆17Updated 8 months ago
- Implementation for Stankevičiūtė et al. "Population graph GNNs for brain age prediction". GRL+ Workshop, ICML 2020.☆40Updated 6 months ago
- The source code for the Layer Ensembles paper published in MICCAI 2022 (Singapore).☆26Updated 2 years ago
- ☆107Updated 3 months ago
- ☆36Updated last year
- VAE, Variational Autoencoder, Deep Learning, Medical Imaging☆20Updated 3 years ago
- Resources for Machine Learning Explainability☆75Updated 6 months ago
- This repository contains code used to prepare the LUMIERE Glioblastoma dataset.☆20Updated last year