Gradient Health training tools
Project description
Gradient Health Tools
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for gh_tools_gradient-0.0.7-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 90791ac25a30b2cd1e79186c0e21b85011fad63855aa3ee6bb170dacb44b76e5 |
|
MD5 | fa84cf10dad3fe70ea06a4741b1de391 |
|
BLAKE2b-256 | c95eb56cb008392af72082ec88ed2a62deb09e1cd7d823faa49618c05eb97ef6 |