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Practical use of basic tool for machine learning using PyTorch lib

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pytorch_snipets

Practical use of basic tool for machine learning using PyTorch lib.


recapAllInOne.py


  • example of binary classification cats vs dogs
  • to start tensorboard ...$ tensorboard --logdir=logs
  • reads data from one, local source (no split into traning and validaion dataset) using lista and torch.utils.data.Dataset
  • uses torchvision to transform data
  • uses custom function in torchvision.transform pipline
  • estimate accuracy (sigmoid) (no nn.BCEWithLogitsLoss)
  • added the adaptive LR
  • added early stopping and dropout layer
  • added argument parser

autoregresive/*


  • contains several easy solutions of common problems of predictions time series using autoregresive method
  • framing function
  • Vanilla RNN

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