project-lighter/lighter
Streamline deep learning experiments using config files
This tool helps deep learning researchers and machine learning engineers easily manage and reproduce their PyTorch Lightning experiments. Instead of changing code every time, you can define your experiment's settings (like learning rates or batch sizes) in a simple configuration file. It takes your existing PyTorch Lightning code and a YAML config, then runs experiments with clear, organized outputs.
Use this if you are a deep learning practitioner running many PyTorch Lightning experiments and need to quickly adjust hyperparameters, ensure reproducibility, and keep your experiment results organized.
Not ideal if you prefer to hardcode all your hyperparameters directly in Python or if your deep learning workflow does not involve PyTorch Lightning.
Stars
72
Forks
7
Language
Python
License
MIT
Category
Last pushed
Dec 09, 2025
Commits (30d)
0
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