PaddleTS
Visit ToolPaddleTS is an open-source, deep time series modeling Python library that provides easy-to-use functionality for forecasting, representation learning, and anomaly detection based on PaddlePaddle.
At a glance
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PaddleTS is an open-source, deep time series modeling Python library that provides easy-to-use functionality for forecasting, representation learning, and anomaly detection based on PaddlePaddle.
Trending
About
PaddleTS is an open-source Python library built on the PaddlePaddle deep learning framework, designed for easy-to-use deep time series modeling. It offers comprehensive functionality modules including TSDataset for unified data structures, Analysis for data exploration, Transform for preprocessing and feature engineering, and Models for various tasks like forecasting, representation learning, and anomaly detection. The library also features AutoTS for automatic model tuning and Ensemble capabilities for improved performance. PaddleTS supports a wide range of state-of-the-art deep learning models, making it suitable for both domain experts and industry users seeking scalable time series modeling solutions.
Capabilities
Pricing & Plans
Open Source
Free
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