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
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.
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411
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46
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 05, 2026
Commits (30d)
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