InnerEye-DeepLearning Documentation

Overview and user guides

• This project is now archived
• InnerEye-DeepLearning
• Setup
• Windows Subsystem for Linux (WSL2)
• Training a Hello World segmentation model
• AzureML Setup
• Dataset Creation
• Building Models
• Sample Tasks
• Bring Your Own PyTorch Lightning Model
• Debugging and Monitoring
• Model Diagnostics
• Move a model to other workspace
• Pre-Trained Models

Further reading for contributors

• Software Development Process
• Pytest and testing on CPU and GPU machines
• Contributing
• Model Deployment
• Working with FastMRI models
• Using the InnerEye code as a git submodule of your project
• Releases
• Training of self-supervised models
• Changelog

API documentation

• Machine learning
  • ML Core
  • Models
  • Dataset
  • Data augmentation
  • Self-Supervised Learning (SSL)
  • Configurations
  • Utils
  • Pipelines
  • Visualizers
• Azure
  • Runner
  • Configuration
  • Utils
• Scripts
  • Runner
  • Submit for Inference
  • Move model
• Common

Indices and tables

• Index

• Module Index