# ashleve/lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation.  ⚡🔥⚡

Repository: https://github.com/ashleve/lightning-hydra-template
Canonical: https://ross.abutalabs.com/products/lightning-hydra-template
Language: Python
License Family: other
Topics: pytorch-lightning, project-structure, config, deep-learning, hydra, template, pytorch, reproducibility, best-practices, mlops
Last push: 2026-06-11T21:52:45+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 87, release rhythm 8, longevity 100
- inputs: {"age_days": 2128, "days_push": 83, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5338, forks 754 (observed 2026-08-28T04:09:15.811560+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: active
- function: boilerplate, configuration-management, machine-learning, deep-learning, llm-training, developer-tools
- domain: deep-learning, machine-learning, developer-tools, tutorials
- platform: python, cross-platform
- tags: pytorch-lightning, hydra, project-template, mlops, reproducibility, experiment-tracking, gpu

## Member repositories
- ashleve/lightning-hydra-template (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:15.811560+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:58:50.879564+00:00, confidence not recorded.
  - readme: https://github.com/ashleve/lightning-hydra-template (fetched 2026-08-28T04:09:15.811560+00:00, sha 0f37a31280b4)
- Data as of 2026-08-30T08:39:29.467469+00:00.