U-Net based model for Data Science Bowl 2018

41th on Data Science Bowl 2018 in Kaggle.

Implementations of U-Net based models and ensemble methods.

Name		Name	Last commit message	Last commit date
Latest commit History 81 Commits
checkmate		checkmate
deeplab		deeplab
kaggle		kaggle
metadata		metadata
submissions_stage2		submissions_stage2
utils_main		utils_main
.gitignore		.gitignore
README.md		README.md
colors.py		colors.py
commons.py		commons.py
data_augmentation.py		data_augmentation.py
data_augmentation_test.py		data_augmentation_test.py
data_feeder.py		data_feeder.py
data_feeder_test.py		data_feeder_test.py
data_queue.py		data_queue.py
hyperopt_main.py		hyperopt_main.py
hyperopt_optimizer.py		hyperopt_optimizer.py
hyperparams.py		hyperparams.py
kmeans_clustering.py		kmeans_clustering.py
merger.py		merger.py
network.py		network.py
network_basic.py		network_basic.py
network_deeplabv3p.py		network_deeplabv3p.py
network_fusionnet.py		network_fusionnet.py
network_test.py		network_test.py
network_unet.py		network_unet.py
network_unet_valid.py		network_unet_valid.py
requirements.txt		requirements.txt
separator.py		separator.py
stopwatch.py		stopwatch.py
submission.py		submission.py
submission_test.py		submission_test.py
train.py		train.py

xzf125244170/data-science-bowl-2019