WenjieDu/Awesome_Imputation

Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute incomplete time series containing NaN missing values/data

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Established

Provides a comprehensive benchmark (TSI-Bench) comparing imputation algorithms across 170+ datasets and integrates with PyPOTS, a unified toolbox implementing neural and statistical methods like transformers, diffusion models, and graph neural networks for partially-observed time series. Curates an annotated paper collection spanning classical approaches (MICE, chained equations) through modern deep learning architectures, with reproducible experimental configurations and preprocessing pipelines via TSDB and BenchPOTS for standardized evaluation.

411 stars.

No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 18 / 25

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Stars

411

Forks

46

Language

Python

License

BSD-3-Clause

Last pushed

Mar 05, 2026

Commits (30d)

0

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