Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.
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PyTorch Lightning
Overview
PyTorch Lightning is a deep learning framework that organizes PyTorch code to eliminate boilerplate while maintaining full flexibility. Automate training workflows, multi-device orchestration, and implement best practices for neural network training and scaling across multiple GPUs/TPUs.
When to Use This Skill
This skill should be used when:
Building, training, or deploying neural networks using PyTorch Lightning
Organizing PyTorch code into LightningMo
[Description truncada. Veja o README completo no GitHub.]