Lightning-AI/deep-learning-project-template resource

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

1287 stars · 272 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A seed template from Lightning AI for starting new deep learning and ML research projects with PyTorch Lightning. It ships a pre-structured Python package with setup.py, requirements, CI workflows, an MNIST example, badges, and BibTeX scaffolding so conference paper code follows a consistent, replicable layout.

Use cases

• template for starting a deep learning research project
• how to structure pytorch lightning code for a paper
• seed project for machine learning experiments
• reproducible ml project skeleton with ci
• organize research codebase for conference submission

When to choose

• You are starting a new PyTorch Lightning research project and want a consistent, easily extended package structure
• You are releasing code accompanying a conference paper and want standard badges, citation block, and CI testing in place

When to avoid

• You need a fully featured training framework rather than an empty, delete-the-example skeleton
• You do not use PyTorch Lightning and want a framework-agnostic or Keras/TensorFlow template

Facets

learning-resource · maturity stable

boilerplate deep-learning machine-learning developer-tools deep-learning machine-learning developer-tools python cross-platform pytorch-lightning project-template seed-project research-code paper-code mnist-example code-structure reproducibility

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