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WenjieDu
SAITS WenjieDu
51
336
mit
6
The 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-seri...
impute pytorch attention imputation time-series transformer deep-learning interpolation missing-values self-attention incomplete-data imputation-model machine-learning irregular-sampling partially-observed attention-mechanism incomplete-time-series time-series-imputation partially-observed-data partially-observed-time-series
Created 2021-12-07
84 commits to main branch, last one 3 months ago
WenjieDu
Awesome_Imputation WenjieDu
25
220
bsd-3-clause
7
Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete time series containing NaN missing values/data
nan survey benchmark imputation data-mining missingness time-series missing-data probablistic deep-learning interpolation missing-values neural-network machine-learning irregular-time-series incomplete-time-series time-series-imputation
Created 2023-12-12
73 commits to main branch, last one 5 months ago