gorodnitskiy/yet-another-lightning-hydra-template
Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.
This project helps machine learning engineers and researchers quickly set up and run deep learning experiments. It provides a structured framework for defining models, handling data, and configuring training runs, allowing users to rapidly iterate on ideas and compare different approaches. You input your machine learning data and model architecture specifications, and it outputs trained models and reproducible experiment results.
242 stars. No commits in the last 6 months.
Use this if you are developing deep learning models and need a standardized, efficient, and reproducible way to manage experiments, configurations, and training across various hardware.
Not ideal if you are a data scientist primarily working with traditional machine learning models or require a low-code/no-code solution for your analysis.
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Python
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Last pushed
Nov 30, 2023
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