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pickle.dump(something, open('something.p', 'wb'))
something = pickle.load(open('something.p', 'rb'))

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extending

https://pytorch.org/docs/master/notes/extending.html

pytorch_summary

https://github.com/sksq96/pytorch-summary/blob/master/torchsummary/torchsummary.py

PyTorch Tutorial for Deep Learning Researchers

• https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials
• 6k stars

pytorch/examples

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• paper doll
  • has dataset
  • KNN
• Creating Capsule Wardrobes from Fashion Images
• Learning Fashion Compatibility with Bidirectional LSTMs
• Parsing Clothing in Fashion Photographs
  • we provide a large novel dataset and tools
• https://github.com/ihciah/deep-fashion-retrieval
• https://github.com/wenxinxu/deep-shopping
• https://github.com/leekyungmoon/WatchOUT

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Notes on fast.ai machine learning course by Jeremy Horward

• video: https://youtu.be/CzdWqFTmn0Y
• github: https://github.com/fastai/fastai/tree/master/courses/ml1

Lesson 1

• pd.read_csv(low_memory=False, parse_dates) https://youtu.be/CzdWqFTmn0Y?t=1717
• display_all function for df: https://youtu.be/CzdWqFTmn0Y?t=1929
• log error cares about ratio rather than value: https://youtu.be/CzdWqFTmn0Y?t=2107

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• pin_memory=True
• sigmoid used in cross_entropy_loss
• set_seed before fold and train

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import logging
log = logging.getLogger(__name__)
log.setLevel(level=logging.DEBUG)

fmtr = logging.Formatter("[%(asctime)s] [%(levelname)-8.8s] %(message)s", "%Y-%m-%d %H:%M:%S")

fhdlr = logging.FileHandler(f"log.log", mode='w')
fhdlr.setFormatter(fmtr)
log.addHandler(fhdlr)