PyTorch Lightning is a high-level interface for PyTorch, designed to organize PyTorch code to decouple the science code from the engineering. It reduces boilerplate and makes deep learning research more accessible and reproducible. It is commonly used for training complex deep learning models in various domains, including computer vision, natural language processing, and reinforcement learning, by providing structure, best practices, and tools for distributed training, logging, and checkpointing.
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