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ZeusDL

  • Yes this is another attempt at making a pytorch wrapper. Hopefully this will be the last

Whats new

  • A lot of loss functions
  • Callbacks for optimizer
  • Gradient Clipping
  • Seed everything
  • Check if certain layer
  • Tabulate/count parameters
  • Plot loss every n epochs

Some thank yous

  • I would like to be clear here. This is a fork of Tez. But they will accept no PRs and.. I plan to add a lot of things which may or may not be accepted. I am very grateful to Abhishek for being such a huge inspiration.
  • Many changes that I will add will be based on fastai (Another huge thank you to Jeremy Howard, Sebastian Gugger and Rachel Thomas) and pytorch lightning (More thanks to William Falcon)

Based on

Firstly a huge thank you to all of these repositories

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