# Lightning-Universe/lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

Repository: https://github.com/Lightning-Universe/lightning-bolts
Canonical: https://ross.abutalabs.com/products/lightning-bolts
Homepage: https://lightning-bolts.readthedocs.io
Language: Python
License: Apache-2.0
License Family: permissive
Topics: pytorch, ai, machine-learning, image-processing, natural-language-processing, supervised-learning, gan
Archived: true
Last push: 2026-01-20T04:42:47+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 63, release rhythm 8, longevity 100
- inputs: {"age_days": 2352, "days_push": 225, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1751, forks 315 (observed 2026-08-28T04:05:31.695762+00:00)

## What it is
Lightning Bolts is a toolbox of pre-built models, callbacks, and datasets that extend PyTorch Lightning for AI/ML research and production. It provides ready-made components like ONNX-optimized training callbacks, GANs, and common datasets to accelerate deep learning workflows.

## Use cases
- speed up pytorch lightning training with onnx runtime
- find ready-made deep learning models for research
- get common datasets for pytorch lightning experiments
- use callbacks to extend pytorch lightning training
- train gans with pytorch lightning
- convert models to optimized onnx graphs for gpu training

## When to choose
- you already use PyTorch Lightning and want reusable components
- you need quick access to standard research models and datasets
- you want ONNX Runtime acceleration for Lightning training

## When to avoid
- you don't use PyTorch Lightning
- you need a full training framework rather than components
- you need actively developed bleeding-edge features

## Facets
- artifact type: library
- maturity: maintenance
- function: deep-learning, machine-learning, image-processing, nlp, data-science
- domain: deep-learning, machine-learning, computer-vision, developer-tools
- platform: python
- tags: pytorch-lightning, callbacks, datasets, research, onnx, gan, supervised-learning, natural-language-processing

## Member repositories
- Lightning-Universe/lightning-bolts (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:31.695762+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 2026-08-30T03:28:27.906485+00:00, confidence not recorded.
  - readme: https://github.com/Lightning-Universe/lightning-bolts (fetched 2026-08-28T04:05:31.695762+00:00, sha e0794bad3d04)
- Data as of 2026-08-30T08:39:29.467469+00:00.