My thesis on five best ML/DL models for galaxies and non-galaxy classification obtain new method for feature extraction.

A Bayesian CNN approach to SDSS image data classification

Keras implementation of "Densely Connected Convolutional Networks" applied to the Galaxy Zoo Kaggle competition.

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

Creating a Convolutionional Neural Network to Identify Jellyfish Galaxies

A project to classify galaxies, using deep learning models trained on astronomical survey datasets.

Naïve classifier for galaxies morphology

Here we provide the data associated with the Galaxy Zoo: Mergers project.

Classifying galaxies based on spectral analysis

Research project on classification of galaxy imagery using machine learning algorithms incl. CNNs

Train and cluster Galaxy Zoo images with a simple β-VAE workflow. Includes notebook, preprocessing pipeline, latent visualizations, and clustering comparisons for quick experimentation.

Galaxy morphology classification w/ ResNet18, ResNet50, Swin-T

Deep-learning galaxy morphology classifier — EfficientNet-B0 fine-tuned on Galaxy Zoo 2, served via FastAPI with a Next.js + Three.js front-end that classifies a live gallery and any image you upload.