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experiments/base_model | ||
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model | ||
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.gitignore | ||
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EDA.ipynb | ||
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README.md | ||
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data | ||
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evaluate.py | ||
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search_hyperparams.py | ||
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submission1008-1150_best.csv | ||
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submission1008-1229_last.csv | ||
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submission_predict.py | ||
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synthesize_results.py | ||
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train.py | ||
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utils.py | ||
This is my starter solution for the above kaggle challenge based on
Pytorch 0.4.1.
And project structure is based cs230-stanford.
submission scored 0.243 in Public Leaderboard via 20 epochs training.
Pretrained densenet121 is used as backbone