WenjieDu/SAITS
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-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516
PythonMIT
Stargazers
- andreasa13Aristotle University of Thessaloniki
- antr0xGermany
- bcjanmayCanada
- chendwend
- colorfulfutureNortheastern University
- davzaman
- deeprine@KangnamUniversity
- DICPZhou
- DLskyGreece
- evan-lh
- fen0324
- fxl-fxl
- Haochen-1987
- Jason-Xu-Ncepu
- JohnToro-CZAFNanyang Technological University
- JyotirmayaIjaradarDresden, Germany
- lazografUniversity of St Andrews
- Lin956
- liqiong0212
- LyapunovStability
- MaciejSkrabski@hostersi.pl
- mone27
- nachosemu
- NeurIPS2021SAITS
- NiharikajoBMS College of Engineering
- petanerdDOST11
- raijinspecialThe Milky Way
- RdfingUniversity of Tennessee
- RushiBhatt007Los Angeles
- shaido987Noah's Ark Lab @huawei-noah
- SuiYuan520
- The-Black-Coat
- wzwb
- Yang011013Beijing
- yueyueya2
- yuneg11SAIGE