ashleve/lightning-hydra-template resource

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

5338 stars · 754 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A GitHub project template combining PyTorch Lightning and Hydra for structuring deep learning research code. It provides preconfigured project structure, configs, and MLOps utilities to kickstart reproducible ML experiments.

Use cases

• start a new deep learning project with a clean structure
• manage experiment configs with hydra
• train models on multi-GPU or SLURM clusters
• learn best practices for pytorch lightning projects
• make ML experiments reproducible
• reduce boilerplate in ML research code

When to choose

• you're starting a PyTorch Lightning project from scratch
• you want hydra-based config management for experiments
• you want a well-commented reference for ML project structure

When to avoid

• you need to build interdependent data engineering pipelines
• you need a fully stable setup - lightning/hydra integration occasionally breaks
• you don't use PyTorch Lightning or Hydra

Facets

learning-resource · maturity active

boilerplate configuration-management machine-learning deep-learning llm-training developer-tools deep-learning machine-learning developer-tools tutorials python cross-platform pytorch-lightning hydra project-template mlops reproducibility experiment-tracking gpu

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markdown · JSON · MCP: product_card(name="ashleve/lightning-hydra-template")