AntonGuan/TimeOmni-1
[ICLR 2026] Official implementation of " 🦙 TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models"
This project offers a specialized Large Language Model (LLM) designed to understand and reason with time series data. It takes in questions about time-varying information, like stock prices or sensor readings, and produces detailed reasoning alongside a specific answer. This tool is ideal for researchers and practitioners who need to extract insights and make decisions based on complex patterns within time series.
Use this if you need an AI model that can analyze time series data and provide not just predictions but also transparent, step-by-step reasoning for its conclusions.
Not ideal if you are looking for a general-purpose LLM without specific time series reasoning capabilities, or if your primary need is simple forecasting without detailed logical explanations.
Stars
18
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 16, 2026
Commits (30d)
0
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