thuml/AutoTimes
Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"
This project helps operations managers, data analysts, and researchers predict future trends using time series data. It takes historical numerical sequences (like sales figures or sensor readings) and uses advanced AI models to output future predictions. The output can be used for forecasting everything from inventory needs to energy consumption.
259 stars. No commits in the last 6 months.
Use this if you need highly accurate, multi-step predictions for various time series datasets, especially if you want to leverage powerful AI without extensive domain-specific training.
Not ideal if you're looking for a simple, lightweight forecasting solution without using large language models or deep learning infrastructure.
Stars
259
Forks
31
Language
Python
License
MIT
Category
Last pushed
Jul 22, 2025
Commits (30d)
0
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