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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) 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
Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.
Created
2021-03-18
16 commits to main branch, last one 3 years ago