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# DECT - Differentiable Euler Characteristic Transform
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- [ ![ arXiv] ( https://img.shields.io/badge/arXiv-2310.07630-b31b1b.svg )] ( https://arxiv.org/abs/2310.07630 ) ![ GitHub contributors] ( https://img.shields.io/github/contributors/aidos-lab/dect ) ![ GitHub] ( https://img.shields.io/github/license/aidos-lab/dect ) [ ![ Maintainability] ( https://api.codeclimate.com/v1/ badges/82f86d7e2f0aae342055 /maintainability )] ( https://codeclimate.com/github /aidos-lab/dect/maintainability )
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+ [ ![ arXiv] ( https://img.shields.io/badge/arXiv-2310.07630-b31b1b.svg )] ( https://arxiv.org/abs/2310.07630 ) ![ GitHub contributors] ( https://img.shields.io/github/contributors/aidos-lab/dect ) ![ GitHub] ( https://img.shields.io/github/license/aidos-lab/dect ) [ ![ Maintainability] ( https://qlty.sh/ badges/b7958e48-8382-4fb0-ac0b-63b95b7a5426 /maintainability.svg )] ( https://qlty.sh/gh /aidos-lab/projects/dect )
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This is the official implementation for the ** Differentiable Euler Characteristic
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Transform** , a geometrical-topological method for shape classification. Our
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