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-![Unittest](https://github.com/ThomasHelfer/TorchGRTL/actions/workflows/actions.yml/badge.svg)
-[![License: MIT](https://img.shields.io/badge/License-MIT-red.svg)](https://opensource.org/licenses/MIT)
# TorchGRTL - Numerical General Relativity in PyTorch
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+[![arXiv: 2411.02453](https://img.shields.io/static/v1?label=arXiv&message=2411.02453&color=B31B1B&logo=arXiv)](https://arxiv.org/abs/2411.02453)
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+[![Hugging Face Dataset: Validation](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Dataset%3A%20BinaryBlackHoleValidation-FFD21E)](https://huggingface.co/datasets/thelfer/BinaryBlackHoleValidation)
+[![Hugging Face Dataset: Train](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Dataset%3A%20BinaryBlackHole-FFD21E)](https://huggingface.co/datasets/thelfer/BinaryBlackHole)
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## Overview
TorchGRTL is a Python library for the application of deep learning to Numerical Relativity. It is based on the [GRTL codebase](https://example.com](https://github.com/GRTLCollaboration/GRChombo)) (formerly known as GRChombo) codebase.