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Aurora

Time Series Forecasting

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 <img alt="intro" src="https://cdn-uploads.huggingface.co/production/uploads/66276727368ec2a0b933772c/ytpsIAr98keUvNouoOVmb.png" width="30%"/>
   <h1> Aurora: Towards Universal Generative Multimodal Time Series Forecasting </h1>
   The official code repo of our ICLR 26's paper: <a href="https://arxiv.org/pdf/2509.22295">Aurora: Towards Universal Generative Multimodal Time Series Forecasting</a>
-[![ICLR](https://img.shields.io/badge/ICLR'26-Aurora-orange)](https://arxiv.org/pdf/2509.22295)  [![Python](https://img.shields.io/badge/Python-3.10%2B-blue)](https://www.python.org/)  [![PyTorch](https://img.shields.io/badge/PyTorch-2.4.1-blue)](https://pytorch.org/)  ![Stars](https://img.shields.io/github/stars/decisionintelligence/Aurora)
 </div>

 <img alt="intro" src="https://cdn-uploads.huggingface.co/production/uploads/66276727368ec2a0b933772c/ytpsIAr98keUvNouoOVmb.png" width="30%"/>
   <h1> Aurora: Towards Universal Generative Multimodal Time Series Forecasting </h1>
   The official code repo of our ICLR 26's paper: <a href="https://arxiv.org/pdf/2509.22295">Aurora: Towards Universal Generative Multimodal Time Series Forecasting</a>
+[![ICLR](https://img.shields.io/badge/ICLR'26-Aurora-orange)](https://arxiv.org/pdf/2509.22295)  [![Python](https://img.shields.io/badge/Python-3.10%2B-blue)](https://www.python.org/)  [![PyTorch](https://img.shields.io/badge/PyTorch-2.4.1-blue)](https://pytorch.org/)  ![Stars](https://img.shields.io/github/stars/decisionintelligence/Aurora) [![GitHub](https://img.shields.io/badge/GitHub-Aurora-black?logo=github)](https://github.com/decisionintelligence/Aurora)
 </div>