Rishit-dagli/Astroformer

This repository contains the official implementation of Astroformer, an ICLR Workshop 2023 paper.

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Astroformer helps scientists and researchers in fields like astronomy to accurately classify images, even when they have a limited amount of labeled data. You provide images (e.g., galaxy pictures), and it tells you what category each image belongs to, such as a spiral galaxy or an elliptical galaxy. This tool is for researchers and data scientists working with image classification tasks.

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Use this if you need to classify images and are struggling with obtaining large, labeled datasets, as Astroformer excels in low-data scenarios.

Not ideal if your primary goal is to train a model from scratch without leveraging existing high-performance architectures, or if you exclusively work with very large, abundant datasets.

astronomy image-classification scientific-research low-data-learning galaxy-classification
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 9 / 25

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31

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3

Language

Python

License

Apache-2.0

Last pushed

Nov 05, 2023

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