# WenjieDu/SAITS

<https://repo.masters-masters.com/en/repos/WenjieDu/SAITS>

[Home](https://repo.masters-masters.com/en) › [WenjieDu](https://repo.masters-masters.com/en/owners/WenjieDu) › [SAITS](https://repo.masters-masters.com/en/repos/WenjieDu/SAITS)

WenjieDu/SAITS has 518 stars on GitHub. Its RepoMasters card: Alpha tier. The official PyTorch implementation of the paper "SAITS: Self-Attention-based…

| Field | Value |
| --- | --- |
| Owner | [WenjieDu](https://repo.masters-masters.com/en/owners/WenjieDu) |
| Stars | 518 |
| Forks | 73 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | time-series, imputation-model, missing-values, self-attention, partially-observed-data, partially-observed-time-series, partially-observed, interpolation, time-series-imputation, incomplete-data |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [WenjieDu/SAITS](https://github.com/WenjieDu/SAITS) |

## Repository

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 m…

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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