3 results found Sort:

WenjieDu
PyPOTS WenjieDu
120
1.2k
bsd-3-clause
13
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/c...
pytorch clustering healthcare imputation incomplete industrial data-mining forecasting missingness time-series data-science deep-learning interpolation classification missing-values neural-network machine-learning science-research time-series-analysis partially-observed-time-series
Created 2022-03-29
1,243 commits to main branch, last one about a month ago
WenjieDu
SAITS WenjieDu
55
353
mit
6
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 4 months ago
WenjieDu
TSDB WenjieDu
19
173
bsd-3-clause
7
a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather, an...
database imputation data-mining forecasting time-series deep-learning classification machine-learning time-series-analysis time-series-database time-series-datasets partially-observed-time-series
Created 2022-04-01
220 commits to main branch, last one 3 months ago