YAML-based automated rapid prototyping framework for deep learning experiments
Project description
Welcome to lighter
, an elegant and powerful wrapper for PyTorch Lightning that simplifies the way you build and manage your deep learning experiments. Unleash your model's potential through a unified, configuration-based approach that streamlines the experimentation process, empowering both beginners and experts in the field.
📖 Usage
🚀 Install
Current release:
pip install project-lighter
Pre-release (up-to-date with the main branch):
pip install project-lighter --pre
For development:
make setup
make install # Install lighter via Poetry
make pre-commit-install # Set up the pre-commit hook for code formatting
poetry shell # Once installed, activate the poetry shell
💡 Projects
List of projects that use lighter
:
Project | Description |
---|---|
Foundation Models for Quantitative Imaging Biomarker Discovery in Cancer Imaging | A foundation model for lesions on CT scans that can be applied to down-stream tasks related to tumor radiomics, nodule classification, etc. |
📄 Cite:
If you find lighter
useful in your research or project, please consider citing it. Here's an example BibTeX citation entry:
@software{lighter,
author = {Ibrahim Hadzic and
Suraj Pai and
Keno Bressem and
Hugo Aerts},
title = {Lighter},
publisher = {Zenodo},
doi = {10.5281/zenodo.8007711},
url = {https://doi.org/10.5281/zenodo.8007711}
}
We appreciate your support!
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