lbleal1/pytorch-playground

PyTorch Playground

This will cover my code experiments, recipes, and helpful resources for PyTorch.

Resources

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Basic PyTorch

• Machine Learning with PyTorch and Scikit-Learn (Sebastian Rashcka et al)

  • covers fundamentals of PyTorch (intro, common workflows)
  • working with models created from scratch (nn.Sequential and subclassing nn.Module)
  • highlights: lightning API, tensorboard

• Deep Learning with PyTorch (Eli Stevens et al)

  • explains the basic PyTorch modules and their connection to ML concepts
  • Torch Hub - a standardized way to load models and weights from any project with an appropriate hubconf.py file (Chap 2.4)

By Topic

• Loading Local Data and Fine-tuning Pre-trained Models
  • Chap6 of Zero to Mastery Learn PyTorch for Deep Learning (Daniel Bourke)

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Advanced PyTorch

By Topic

• Ablations, Accessing and Modifying Different Layers of a Pretrained Model in PyTorch
  • ConvNets - Accessing and Modifying Different Layers of a Pretrained Model in PyTorch (Morteza Mohammady Gharasuie)
  • How to modify a pretrained model
• Hooks, PyTorch Lightning, Quantization, Pruning, and TorchScript+JIT
  • 5 Advanced PyTorch Tools to Level up Your Workflow (Tivadar Danka)