ddz16/PFRP
[2026 AAAI] Predicting the Future by Retrieving the Past
This project helps machine learning researchers and practitioners working with time-series data to improve forecasting accuracy. It takes historical time-series data, processes it to identify relevant past patterns, and then uses these patterns to generate more accurate predictions for future data points. This is designed for those who want to enhance existing time-series forecasting models.
Use this if you are a machine learning researcher or data scientist looking to boost the performance of long-term time-series forecasting models by leveraging historical patterns.
Not ideal if you are looking for an out-of-the-box forecasting solution without needing to integrate it into a larger machine learning pipeline.
Stars
10
Forks
—
Language
Python
License
MIT
Category
Last pushed
Nov 22, 2025
Commits (30d)
0
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