extending
https://pytorch.org/docs/master/notes/extending.html
pytorch_summary
https://github.com/sksq96/pytorch-summary/blob/master/torchsummary/torchsummary.py
Yang Zhang yang-zhang
yang-zhang
/ cross-entropy.ipynb
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February 5, 2023 00:25
Cross entropy implementation in pytorch
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yang-zhang
/ pytorch-losses-in-plain-python.ipynb
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December 21, 2022 07:14
git/yang-zhang.github.io/ds_code/pytorch-losses-in-plain-python.ipynb
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yang-zhang
/ multi-face.ipynb
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February 28, 2022 18:46
Multi-task Deep Learning Experiment using fastai Pytorch
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yang-zhang
/ fashion_retrieval.md
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August 23, 2021 02:26
View fashion_retrieval.md
- 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
yang-zhang
/ binary_cross_entropy_with_logits.ipynb
Created
October 16, 2018 20:46
binary cross entropy implementation in pytorch
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yang-zhang
/ fastai_ml_course_notes.md
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December 27, 2020 20:55
fast.ai machine learning course notes
View fastai_ml_course_notes.md
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
View boilerplates.md
- pin_memory=True
- sigmoid used in cross_entropy_loss
- set_seed before fold and train
View logging_template.py
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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) |
yang-zhang
/ set_seed.py
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January 20, 2020 14:44
set_seed function to lock pytorch randomness for reproducibility.
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| def set_seed(seed): | |
| random.seed(seed) | |
| os.environ['PYTHONHASHSEED'] = str(seed) | |
| np.random.seed(seed) | |
| torch.manual_seed(seed) | |
| torch.cuda.manual_seed(seed) | |
| torch.backends.cudnn.deterministic = True |
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