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pytorch-lightningby K-DenseDevelopmentGitHub stars: 47.3k

Pytorch Lightning skill: what it does and how to install it

Organises PyTorch neural-network projects with LightningModules, data modules, Trainer configuration, callbacks, logging and distributed training.

Summary generated from the skill's documentation.

Install

$ npx skills add K-Dense-AI/scientific-agent-skills --skill pytorch-lightning

Run it in a terminal. If your agent is already running, start a new session so it picks the skill up.

About this skill

What it does. Structures PyTorch models in LightningModules and data pipelines in LightningDataModules, then configures Lightning Trainers for device management, callbacks, logging and distributed strategies such as DDP, FSDP and DeepSpeed. It includes templates and references for training workflows.

When to use it. For building, training or deploying neural networks with PyTorch Lightning, including multi-GPU or TPU work and experiment tracking. It supports Lightning 2.6+ with Python 3.10+.

History

Repo stars

47.3kAbout +18.6k since 9 Jul 2026

Before 1 Oct 2026 the curve is estimated from public event data.

Stars are counted for the whole repository, which holds 50 skills.

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Repo stars by day
DateRepo stars
1 Oct 202647,271
24 Sept 2026 (estimated)46,976
17 Sept 2026 (estimated)46,257
10 Sept 2026 (estimated)41,836
3 Sept 2026 (estimated)30,545
27 Aug 2026 (estimated)29,347
20 Aug 2026 (estimated)29,160
13 Aug 2026 (estimated)29,027
6 Aug 2026 (estimated)28,947
30 Jul 2026 (estimated)28,894
23 Jul 2026 (estimated)28,894
16 Jul 2026 (estimated)28,841
9 Jul 2026 (estimated)28,708

Installs

1.8k

Tracking since . A chart appears once there are 7 days of data.

Installs via skills.sh

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