WenjieDu / 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
Why this job: matched by what the repo talks about: learn, model, task, data
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 days ago
- Stars
- 2,096
- +3 this week
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.0
- Released 3 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 95% closed
- 16 still open
- Pull requests
- 541 merged
- 4 waiting
- Releases
- 42
- 6 in the last year
- No contributing guide
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics, project record and preview image
Languages
- Python 100%
- Shell <1%
Topics
- time-series
- data-mining
- deep-learning
- missing-values
- anomaly-detection
- classification
- clustering
- forecasting
- generation
- imputation
- machine-learning
- pytorch
Project record
- JobEvals and observability
- StatusListed
- Commits1,887
- Forks194
- Watching18
- Stars in 28 days+19
- CreatedMar 29, 2022
- First seen by usNov 7, 2026
- CheckedNov 10, 2026