decisionintelligence/Aurora
[ICLR 2026] Aurora: Towards Universal Generative Multimodal Time Series Forecasting
Aurora helps data analysts and domain experts predict future trends by leveraging both numerical time series data and related textual information. It takes in historical numerical sequences (like stock prices or sensor readings) and optional descriptive text, then outputs multiple probable future forecasts. This tool is for anyone needing to understand the likelihood of various future scenarios.
Use this if you need to generate multiple, probable future forecasts for time-series data, especially when textual context (like news articles or event descriptions) can inform your predictions.
Not ideal if your forecasting needs are simple and only require a single, deterministic prediction without considering multiple future possibilities or multimodal input.
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26
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3
Language
Python
License
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Category
Last pushed
Feb 08, 2026
Commits (30d)
0
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