Keras implementation of "Densely Connected Convolutional Networks" applied to the Galaxy Zoo Kaggle competition.
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Updated
Jan 15, 2018 - Jupyter Notebook
Keras implementation of "Densely Connected Convolutional Networks" applied to the Galaxy Zoo Kaggle competition.
A Bayesian CNN approach to SDSS image data classification
This deep learning model can predict a mask of Galaxy. by using this mask Galaxy can be Segmented from image
Merger galaxies classification using deep learning
Code to perform morphological classifications of galaxies using machine learning
Classifying galaxies based on spectral analysis
Research project on classification of galaxy imagery using machine learning algorithms incl. CNNs
Here we provide the data associated with the Galaxy Zoo: Mergers project.
Naïve classifier for galaxies morphology
Creating a Convolutionional Neural Network to Identify Jellyfish Galaxies
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