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Gradient Health training tools

Project description

Gradient Health Tools

Python Package

Tools to be used primarily in colab training environment and using wasabi storage for logging/data. Also includes tools for common dicom preprocessing steps.

Callbacks

gh_tools.callbacks.keras_storage

Used for syncing models/logs into s3 file system

gh_tools.callbacks.log_code

Used to snapshot notebooks into s3 file system

Utils

gh_tools.utils.image

Used for various 2D image transforms see (projection matrix)[https://en.wikipedia.org/wiki/Transformation_matrix]

gh_tools.utils.colab

Used for checking and saving notebooks in colab programmatically

gh_tools.utils.version_service

Bundles callbacks related to versioning and logging.

gh_tools.layers

Custom Keras Layers Useful for wrapping models.

Contributing and Issues

Contributions are welcome in the form of pull requests. For issues, please provide a minimal example of code which results in an error.

Software License

Copyright 2020 Ouwen Huang, Gradient Health Inc.

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