Scalable and user friendly neural 🧠 forecasting algorithms.
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Updated
Oct 2, 2024 - Python
Scalable and user friendly neural 🧠 forecasting algorithms.
Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.
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