Alternatives and similar repositories for poe-vae:

Users that are interested in poe-vae are comparing it to the libraries listed below

• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆96Updated last year
• gabinsane / multimodal-vae-comparison
  Code for comparison of multimodal VAE models
  ☆28Updated last year
• thomassutter / MoPoE
  Code release for ICLR 2021 paper "Generalised Multimodal ELBO"
  ☆38Updated 2 years ago
• abidlabs / contrastive_vae
  Contrastive Variational Autoencoders
  ☆64Updated 6 years ago
• alawryaguila / multi-view-AE
  Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.
  ☆51Updated 8 months ago
• paulhager / MMCL-Tabular-Imaging
  ☆109Updated 4 months ago
• CAMP-eXplain-AI / Style-CheXplain
  GAN-based method to create counterfactual explanations for chest X-rays
  ☆24Updated 2 years ago
• vios-s / disentanglement_tutorial
  This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…
  ☆62Updated 2 years ago
• pietrobarbiero / entropy-lens
  ☆16Updated 2 years ago
• epalu / mmvaeplus
  ☆17Updated 9 months ago
• pliang279 / FactorCL
  [NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
  ☆66Updated last year
• JJGO / hyperlight
  Modular and intuitive Hypernetworks in Pytorch
  ☆35Updated last year
• nmichlo / disent
  🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…
  ☆128Updated 2 years ago
• CherBass / ICAM
  ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
  ☆53Updated 2 years ago
• mateoespinosa / cem
  Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…
  ☆61Updated 3 weeks ago
• rongzhou7 / ADCCA
  ☆11Updated 5 months ago
• iffsid / mmvae
  Multimodal Mixture-of-Experts VAE
  ☆201Updated last year
• estanley16 / SimBA
  Implementation for Simulated Bias in Artificial Medical Images (SimBA) framework 🦁
  ☆10Updated 3 weeks ago
• biomedia-mira / causal-gen
  (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
  ☆60Updated 3 weeks ago
• imantdaunhawer / multimodal-contrastive-learning
  [ICLR 2023] Official code for the paper "Identifiability Results for Multimodal Contrastive Learning"
  ☆32Updated 2 years ago
• kilianFatras / JUMBOT
  Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"
  ☆46Updated 2 years ago
• ysharma1126 / ssl_identifiability
  Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
  ☆51Updated 3 years ago
• JakobHavtorn / hvae-oodd
  Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"
  ☆30Updated 3 years ago
• daifengwanglab / JAMIE
  Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)
  ☆28Updated 3 weeks ago
• kamilest / brain-age-gnn
  Implementation for Stankevičiūtė et al. "Population graph GNNs for brain age prediction". GRL+ Workshop, ICML 2020.
  ☆40Updated this week
• Gourang97 / Causal-Variational-Autoencoders
  Causal Variational AutoEncoders
  ☆28Updated 4 years ago
• batmanlab / Explanation_by_Progressive_Exaggeration
  Explanation by Progressive Exaggeration
  ☆20Updated 2 years ago
• marksgraham / ddpm-ood
  Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"
  ☆49Updated 10 months ago
• bifold-pathomics / xMIL
  xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
  ☆15Updated last month
• mmcdermott / How-to-PhD
  A collection of resources and information for concrete skills that are helpful when pursuing a PhD in computer science (specifically in M…
  ☆23Updated 2 years ago