Yang Zhang yang-zhang

## fashion_retrieval.md

      
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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


## dropout-scaling.ipynb

      
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                git/yang-zhang.github.io/ds_math/dropout-scaling.ipynb
              
          
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## cross-entropy.ipynb

      
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              December 21, 2024 11:51
            
              
                Cross entropy implementation in pytorch
              
          
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## multi-face.ipynb

      
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                Multi-task Deep Learning Experiment using fastai Pytorch
              
          
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## cheat_sheet_pickle.py
pickle.dump(something, open('something.p', 'wb'))
something = pickle.load(open('something.p', 'rb'))

## binary_cross_entropy_with_logits.ipynb

      
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                yang-zhang
                / binary_cross_entropy_with_logits.ipynb
            
            
              Created
              October 16, 2018 20:46
            
              
                binary cross entropy implementation in pytorch
              
          
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## pytorch-losses-in-plain-python.ipynb

      
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                git/yang-zhang.github.io/ds_code/pytorch-losses-in-plain-python.ipynb
              
          
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## pytorch_resource_notes.md

      
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                Pytorch resources notes
              
          
    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


## fastai_ml_course_notes.md

      
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              December 27, 2020 20:55
            
              
                fast.ai machine learning course notes
              
          
    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


## boilerplates.md

      
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                boilerplates
              
          
pin_memory=True
sigmoid used in cross_entropy_loss
set_seed before fold and train
	pickle.dump(something, open('something.p', 'wb'))
	something = pickle.load(open('something.p', 'rb'))