willyfh/lightning-hydra-boilerplate
A project boilerplate for deep learning experiments using PyTorch Lightning and Hydra, designed for rapid prototyping, clean configuration management, and scalable research workflows.
This boilerplate helps machine learning engineers and researchers quickly set up and manage deep learning experiments. You provide your dataset and model architecture, and it generates a structured project with pre-configured training, evaluation, and prediction scripts, along with organized output logging. It’s designed for anyone regularly building and testing new deep learning models.
Use this if you are a deep learning practitioner who wants to rapidly prototype new models and experiments with robust configuration management and streamlined workflows.
Not ideal if you are looking for a pre-built, ready-to-deploy deep learning application rather than a foundational structure for your own research.
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Language
Python
License
MIT
Category
Last pushed
Feb 11, 2026
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