thuml/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
This project helps operations managers, economists, energy traders, traffic planners, and public health officials predict future trends from historical data. It takes in various time-series data, such as energy consumption, traffic flow, economic indicators, weather patterns, or disease incidence, and outputs accurate long-term forecasts. This is designed for professionals who need reliable predictions to make informed decisions across different industries.
2,426 stars. No commits in the last 6 months.
Use this if you need to accurately forecast long-term trends in critical time-series data across domains like energy, traffic, economics, weather, or public health.
Not ideal if you are looking for short-term forecasts or need to analyze data that isn't sequential or time-dependent.
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Jupyter Notebook
License
MIT
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Last pushed
Feb 28, 2025
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