Updated 6 months ago
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
attention
attention-mechanism
deep-learning
imputation
imputation-model
impute
incomplete-data
incomplete-time-series
interpolation
irregular-sampling
machine-learning
missing-values
partially-observed
partially-observed-data
partially-observed-time-series
pytorch
self-attention
time-series
time-series-imputation
transformer