pytorch-training-playbook

Writes and debugs PyTorch training code: tensors and autograd, nn.Module models, device handling, DataLoaders, a correct training loop, scientific derivatives and PINN residuals, mixed precision, and export. Use when the user asks to "train a neural network", "write a training loop", "compute gradients with autograd", "build a PINN", or "speed up my PyTorch model". Not for architecture research papers, downloading pretrained models, or launching long GPU jobs without approval.

Version

v1.0.1

Size

11 KB

Updated

2026-10-06

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