kaggle-ndsb

Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)

More information can be found in the file doc.pdf and on http://benanne.github.io/2015/03/17/plankton.html.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
configurations		configurations
data		data
metadata		metadata
predictions		predictions
splits		splits
submissions		submissions
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
average_predictions.py		average_predictions.py
blend_momentsinfo_haralick.py		blend_momentsinfo_haralick.py
buffering.py		buffering.py
compute_image_moment_stats.py		compute_image_moment_stats.py
create_bagging_validation_split.py		create_bagging_validation_split.py
create_data_files.py		create_data_files.py
create_final_ensemble.py		create_final_ensemble.py
create_submission.py		create_submission.py
create_validation_split.py		create_validation_split.py
data.py		data.py
dihedral.py		dihedral.py
dihedral_fast.py		dihedral_fast.py
dihedral_ops.py		dihedral_ops.py
doc.pdf		doc.pdf
ensemble_predictions.py		ensemble_predictions.py
eval_predictions.py		eval_predictions.py
extract_features.py		extract_features.py
fuse_features_bagged.py		fuse_features_bagged.py
icdf.py		icdf.py
load.py		load.py
nn_plankton.py		nn_plankton.py
predict_convnet.py		predict_convnet.py
tmp_dnn.py		tmp_dnn.py
train_convnet.py		train_convnet.py
train_fuse_blend.py		train_fuse_blend.py
tta.py		tta.py
utils.py		utils.py
validation_split_v1.pkl		validation_split_v1.pkl

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