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

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

Code to perform morphological classifications of galaxies using machine learning

Naïve classifier for galaxies morphology

Classifying galaxies based on spectral analysis

Creating a Convolutionional Neural Network to Identify Jellyfish Galaxies

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

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

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

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

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.