SAITS
PublicThe official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516
attentionattention-mechanismdeep-learningimputationimputation-modelimputeincomplete-dataincomplete-time-seriesinterpolationirregular-sampling
Creat：2021-12-07T22:57:37
Update：2025-03-26T12:44:07
https://doi.org/10.1016/j.eswa.2023.119619
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