WenjieDu/PyPOTS
A Python library providing 50+ PyTorch-based neural network models for machine learning on partially-observed time series.
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PyPOTS is a specialized machine learning toolkit focused on handling incomplete, irregularly-sampled multivariate time series data. It offers implementations of 50+ state-of-the-art neural network architectures for tasks including imputation, classification, clustering, forecasting, anomaly detection, and data cleaning. Built on PyTorch, it targets industrial and scientific applications where missing values are common.
Frequently asked
- What is WenjieDu/PyPOTS?
- A Python library providing 50+ PyTorch-based neural network models for machine learning on partially-observed time series.
- Is PyPOTS open source?
- Yes — WenjieDu/PyPOTS is open source, released under the BSD-3-Clause license.
- What language is PyPOTS written in?
- WenjieDu/PyPOTS is primarily written in Python.
- How popular is PyPOTS?
- WenjieDu/PyPOTS has 2k stars on GitHub.
- Where can I find PyPOTS?
- WenjieDu/PyPOTS is on GitHub at https://github.com/WenjieDu/PyPOTS.