ENS data challenge: mauna_kea

Participation to the ENS Data Challenge: 'Screening and Diagnosis of esophageal cancer from in-vivo microscopy images' by Mauna Kea Technologies

Currently 10th on leaderboard, scoring 92.8% accurracy on test set, using ensemble model of different CNN architectures with heavy data augmentation.

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
__pycache__		__pycache__
README.md		README.md
autoencoder.py		autoencoder.py
compare_models.ipynb		compare_models.ipynb
copy_files.py		copy_files.py
data_augmentation.py		data_augmentation.py
data_exploration.py		data_exploration.py
ensemble.py		ensemble.py
load_data.py		load_data.py
mldata		mldata
model_fit.py		model_fit.py
model_plot.png		model_plot.png
plot_result.py		plot_result.py
predict_result_nobatch.py		predict_result_nobatch.py
test.py		test.py
verify_result.ipynb		verify_result.ipynb
verify_result.py		verify_result.py

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