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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