GitHub - ynahshan/kaggle_planet_competition: Planet Understanding the Amazon from Space competition keras implementation

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Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
best_submissions		best_submissions
inputs		inputs
model		model
udacity_capstone		udacity_capstone
utils		utils
.gitignore		.gitignore
README.md		README.md
agricalture_classifier.ipynb		agricalture_classifier.ipynb
binary_classifier_per_tag.ipynb		binary_classifier_per_tag.ipynb
classifier_experiments.ipynb		classifier_experiments.ipynb
create_multi_model_submition.py		create_multi_model_submition.py
create_submission.py		create_submission.py
create_submission_ensemble.py		create_submission_ensemble.py
create_submission_ensemble_avg.py		create_submission_ensemble_avg.py
create_submission_ensemble_avg_per_cls.py		create_submission_ensemble_avg_per_cls.py
create_submission_ensemble_nn.py		create_submission_ensemble_nn.py
data_augmentation.ipynb		data_augmentation.ipynb
data_augmentation.py		data_augmentation.py
data_augmentation_full.py		data_augmentation_full.py
data_augmentation_npz.py		data_augmentation_npz.py
data_generator_fit.ipynb		data_generator_fit.ipynb
data_labeling.ipynb		data_labeling.ipynb
data_loading_optimization.ipynb		data_loading_optimization.ipynb
dump_best_models.py		dump_best_models.py
dump_test_predictions.py		dump_test_predictions.py
ensemble_optimization.ipynb		ensemble_optimization.ipynb
evaluate_ensemble.py		evaluate_ensemble.py
evaluate_multi_topology.py		evaluate_multi_topology.py
evaluate_network.py		evaluate_network.py
extract_features.py		extract_features.py
models_evaluation_analysis.ipynb		models_evaluation_analysis.ipynb
models_optmization.ipynb		models_optmization.ipynb
models_optmization_cls.ipynb		models_optmization_cls.ipynb
nn_weights_learning.ipynb		nn_weights_learning.ipynb
nn_weights_learning_val.ipynb		nn_weights_learning_val.ipynb
optimize_models.py		optimize_models.py
predictions_analisys.ipynb		predictions_analisys.ipynb
print_models.py		print_models.py
pyramidnet.ipynb		pyramidnet.ipynb
resnet152.ipynb		resnet152.ipynb
resnet50.ipynb		resnet50.ipynb
sample_submission_v2.csv.zip		sample_submission_v2.csv.zip
small_dev_network.ipynb		small_dev_network.ipynb
starter.ipynb		starter.ipynb
starter1.ipynb		starter1.ipynb
submission_vote_experiment.ipynb		submission_vote_experiment.ipynb
thresholds_optimization.ipynb		thresholds_optimization.ipynb
tif_starter1.ipynb		tif_starter1.ipynb
topologies.ipynb		topologies.ipynb
train_network.py		train_network.py
transfer_inceptionV3.ipynb		transfer_inceptionV3.ipynb

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Code for Kaggle competition: Planet - Understanding the Amazon from Space. https://www.kaggle.com/c/planet-understanding-the-amazon-from-space

Place 37 All deep learning models implemented using keras with Tensorflow backend. https://www.kaggle.com/c/planet-understanding-the-amazon-from-space/leaderboard

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