Rishit-dagli/Astroformer
This repository contains the official implementation of Astroformer, an ICLR Workshop 2023 paper.
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.
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Language
Python
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Apache-2.0
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Last pushed
Nov 05, 2023
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