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The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) model with efficiency for time series imputation (imputing multivariate incomplete time series containing missing data/values). https://arxiv.org/abs/2202.08516

Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 2022)

Timediffusion ⭐ 10

Unified Framework for Multiple Time Series Tasks

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