kaggle-heart

Second place solution for the Second Annual Data Science Bowl competition on Kaggle

For a step-by-step guide on how to generate our two final submissions, please see the appendix of the documentation.

Name		Name	Last commit message	Last commit date
Latest commit History 355 Commits
configurations		configurations
ira		ira
other		other
settings_files		settings_files
util_scripts		util_scripts
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
SETTINGS.json		SETTINGS.json
buffering.py		buffering.py
compressed_cache.py		compressed_cache.py
configuration.py		configuration.py
custom_warnings.py		custom_warnings.py
data_loader.py		data_loader.py
deep_learning_layers.py		deep_learning_layers.py
dihedral.py		dihedral.py
dihedral_fast.py		dihedral_fast.py
dihedral_ops.py		dihedral_ops.py
disk_access.py		disk_access.py
documentation.pdf		documentation.pdf
generate_metadata_pkl.py		generate_metadata_pkl.py
generate_roi_pkl.py		generate_roi_pkl.py
highway.py		highway.py
image_transform.py		image_transform.py
layers.py		layers.py
log.py		log.py
merge_predictions.py		merge_predictions.py
merge_predictions_ira.py		merge_predictions_ira.py
merge_predictions_jeroen.py		merge_predictions_jeroen.py
nn_hough.py		nn_hough.py
objectives.py		objectives.py
paths.py		paths.py
postprocess.py		postprocess.py
predict.py		predict.py
preprocess.py		preprocess.py
quasi_random.py		quasi_random.py
sample_submission_validate.csv		sample_submission_validate.csv
theano_printer.py		theano_printer.py
train.py		train.py
updates.py		updates.py
utils.py		utils.py
validation_set.py		validation_set.py
volume_estimation_layers.py		volume_estimation_layers.py

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