Pytorch Lightning
davila7/claude-code-templatesPyTorch Lightning is a high-level framework that makes training deep learning models easier. It sits on top of PyTorch and removes a lot of repetitive code. You can write clean training loops without worrying about device management or distributed computing.
With its Trainer class, you can run your code on a single laptop or a massive supercomputer without changes. It supports automatic distributed training using DDP, FSDP, and DeepSpeed. This means your models scale effortlessly.
Lightning adds built-in best practices like logging, checkpointing, and mixed precision. You spend less time on boilerplate and more time on your actual model. It is a favorite among researchers and engineers for its simplicity and power.
Add Pytorch Lightning skill to your workflow
Global
mkdir -p ~/.claude/skills/pytorch-lightningProject
mkdir -p .claude/skills/pytorch-lightningSource Repository
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