Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute incomplete time series containing NaN missing values/data

Graph Neural Networks for Irregular Time Series

🔬 A Researcher-Friendly Framework for Time Series Analysis. Train Any Model on Any Dataset!

Converting irregularly spaced time series, such as eletronic health records, into dataframes for tabular classification.

Pytorch implementation of "Multi-view Integration Learning for Irregularly-sampled Clinical Time Series" (Under review, JBHI)

This repository implements an automated crawling tool for topics about "data mining" papers from the arXiv preprint website.

Scientific Foundation Models

Scientific Foundation Model for Environmental Systems

Data preprocessing pipeline for HiRID

Research on deep learning models to handle irregular time series water quality data. Data are collected from USGS, DbHydro databases. Data can be loosely termed as irregularly regular.

End-to-end pipeline for learning from complex relational databases with hypergraph-based transformers and unified 5D embeddings.