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Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines,…
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 LightningModules Configuring Trainers for multi-GPU/TPU training Implementing data pipelines with LightningDataModules Working with callbacks, logging, and distributed training strategies (DDP, FSDP, DeepSpeed) Structuring deep learning projects professionally Core Capabilities 1. LightningModule - Model Definition
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