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Hands-on PyTorch Lightning 2.x curriculum: 20 notebooks from LightningModule basics to manual optimization, DDP, profiling and ONNX export, backed by lmpro, a tested library of modules, datamodules, callbacks and a LightningCLI for vision, NLP, tabular and time-series tasks. Runs on CPU with synthetic data.
Python training pipeline for fitting an sklearn MLP regression model on sequential rainfall data and exporting the artifact alongside preprocessing scaler configurations to ONNX format.