Water2sea/TPGN
Official implement for "PGN: The RNN’s New Successor is Effective for Long-Range Time Series Forecasting"(NeurIPS 2024) in PyTorch.
This project offers an advanced way to predict future trends based on historical data, especially when patterns span over long periods. You input your time series data, and it outputs predictions that are more accurate for long-range forecasts compared to traditional methods. This is for data scientists, analysts, or researchers who need to make reliable long-term predictions from complex time-dependent information.
No commits in the last 6 months.
Use this if you need to accurately forecast future values from time-series data with strong long-term dependencies, such as financial markets, climate patterns, or resource demand.
Not ideal if your forecasting needs are primarily short-term or if your time series data lacks significant long-range patterns.
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97
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5
Language
Python
License
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Last pushed
Dec 29, 2024
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