PyPOTS

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

neural-network deep-learning machine-learning

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2k Stars

185 Forks

2k Watchers

Python Language

bsd-3-clause License

100 SrcLog Score

Cost to Build

$198.2K

Market Value

$1.00M

How is this calculated?

Growth over time

4 data points · 2022-11-01 → 2026-04-01

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What is the WenjieDu/PyPOTS GitHub project? Description: "A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone PyPOTS

Clone via HTTPS

git clone https://github.com/WenjieDu/PyPOTS.git

Clone via SSH

[email protected]:WenjieDu/PyPOTS.git

Download ZIP

Download master.zip

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Report bugs or request features on the PyPOTS issue tracker:

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