Welcome to pyraug’s documentation!

This a new library to perform Data Augmentation in a reliable manner with Variational Autoencoders!

Getting started

• Background
  • Why data augmentation ?
  • Limitations of classic DA
  • Generative models: A new hope
  • A Flavour of Pyraug’s Results
• Getting started
  • Description
  • Installation
  • Pyraug’s spirit & overview
  • Augmenting your Data
• Advanced Usage
  • Setting up your own configurations
  • Making your own autoencoder model

Module Description

• pyraug.data
  • datasets
  • loaders
  • preprocessors
• pyraug.models
  • BaseVAE
  • RHVAE
• pyraug.models.nn
  • BaseEncoder
  • BaseDecoder
  • BaseMetric
• pyraug.trainer
• pyraug.pipelines
  • TrainingPipeline
  • GenerationPipeline
• pyraug.config