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miracleyoo/pytorch-lightning-template resource

An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板,简单易用,稍改原来Pytorch代码,即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well. No need to rewrite your config in hydra. observed · 2026-08-28

github.com/miracleyoo/pytorch-lightning-template · Jupyter Notebook · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2010
  • days_rel: n/a
  • days_push: 1123
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1541 stars · 188 forks observed · 2026-08-28

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

A PyTorch Lightning project template that lets developers adapt existing PyTorch code to Lightning with minimal changes while keeping full freedom to edit functions. It provides specialized templates (e.g., classification, super-resolution) with a structured layout separating data and model code, without requiring Hydra-style configs.

Use cases

  • convert my existing pytorch code to pytorch lightning
  • start a new deep learning project with a clean structure
  • organize multiple models and datasets in one lightning project
  • avoid rewriting configs in hydra for lightning projects
  • find a pytorch lightning boilerplate for classification tasks
  • set up a reusable training pipeline template

When to choose

  • you want to migrate existing PyTorch code to Lightning quickly
  • you need a multi-model, multi-dataset project structure
  • you prefer editable, plain-Python configs over Hydra/YAML
  • you want task-specific starting templates like classification or super-resolution

When to avoid

  • you want a fully maintained library with package installation and releases
  • you need templates for NLP, GAN, or speech tasks not yet included
  • you prefer opinionated frameworks like Hydra-based Lightning templates
  • you need guaranteed long-term support - the project updates sporadically

Facets

learning-resource · maturity maintenance

deep-learning machine-learning developer-tools boilerplate deep-learning machine-learning developer-tools tutorials python cross-platform pytorch pytorch-lightning project-template boilerplate config-management best-practices

1 source

Member repositories

RepositoryRoleHealth v2
miracleyoo/pytorch-lightning-templatemain32

For agents

markdown · JSON · MCP: product_card(name="miracleyoo/pytorch-lightning-template")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem