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InnerEye-DeepLearning 0.7 documentation

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InnerEye-DeepLearning 0.7 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
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- Hippocampus Segmentation Model
- Lung Segmentation Model

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
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- ML Core
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- Models
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  - Architectures
  - Blocks
  - Layers
  - Losses
- Dataset
- Data augmentation
- Self-Supervised Learning (SSL)
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- Configurations
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- Utils
- Pipelines
- Visualizers
Azure
Scripts
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Common

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Other configs

FastMRT Varnet

Self-Supervised Learning Configs

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Other configs
- FastMRT Varnet