PyTorch Lightning

PyTorch Lightning is a framework built on top of PyTorch that simplifies the process of developing and training machine learning models. It abstracts away much of the repetitive code involved in setting up experiments, enabling researchers and developers to focus on designing their models rather than managing training details. By organizing code into clear structures and automating tasks like GPU utilization and checkpointing, Lightning makes model development more efficient, scalable, and less error-prone. Essentially, it streamlines the workflow of building deep learning models while maintaining full flexibility and control.