multivae

Basics

  • Implemented models
  • Installation
  • Quickstart
  • Tutorials
  • Training on incomplete datasets
  • Metrics
  • Datasets
  • Monitoring your training with Wandb
  • Sharing your models with the HuggingFace Hub 🤗
  • Using samplers
  • Examples and Case Studies
  • Contribute
  • Reproducibility statement
  • Citation
  • Issues ? Questions ?

Documentation

  • Structure of the library
  • Models
    • Multimodal Variational Autoencoders Models
    • Base Neural Network Architectures
  • Datasets
  • Metrics
  • Trainers
  • Samplers
  • Case studies
multivae
  • Models
  • View page source

Models

In here you will find implementations of Multimodal Generative Autoencoders models, along with some useful Neural Network base architectures.

  • Multimodal Variational Autoencoders Models
    • Base MultiVae Class
    • AutoModel
    • CVAE: Conditional Variational Autoencoder
    • MVAE
    • MMVAE
    • TELBO
    • MoPoE: Mixture of Product of Experts
    • JMVAE
    • JNF: Joint Normalizing Flows
    • Nexus
    • DMVAE
    • CMVAE
    • MHVAE
    • MVTCAE : Multiview Correlation Autoencoder
    • MMVAE+
    • CRMVAE
  • Base Neural Network Architectures
    • Base Architectures
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© Copyright 2023, Clement Chadebec & Agathe Senellart.

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