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pytorch-lightning

Deep learning framework (PyTorch Lightning / lightning package). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard, MLflow), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.

45,195stars4,096forksUpdated 9/16/2026

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All Files

11 files
references/distributed_training.md14.0 KB
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references/trainer.md14.4 KB
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references/callbacks.md15.2 KB
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references/logging.md13.8 KB
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scripts/template_datamodule.py9.1 KB
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references/data_module.md14.2 KB
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SKILL.md8.2 KB
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scripts/template_lightning_module.py5.9 KB
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references/best_practices.md15.7 KB
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references/lightning_module.md13.4 KB
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scripts/quick_trainer_setup.py13.5 KB
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Install pytorch-lightning

Download and extract the skill files to your .claude/skills/ directory.

Quick Setup:

  1. Copy the skill folder to .claude/skills/
  2. Claude will automatically detect and use the skill