An Awesome List of the latest time series papers and code from top AI venues.

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 Julia implementation of basic tools for time series analysis compatible with incomplete data.

An awesome project on irregular time series and incomplete time series

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

Dynamic Time Warping

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

Elastic-net VARMA: hyperparameter optimisation, estimation and forecasting

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

[Financial Innovation] The official repo for the paper: "CryptMAGE: Vision Transformer for Intraday Cryptocurrency Time Series Price Movements Recognition".

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

Official code for "Online Irregular Multivariate Time Series Forecasting via Uncertainty-Driven Dual-Expert Calibration"

Scientific Foundation Models

[KDD 2026] Scientific Foundation Model for Environmental Systems

Published large-scale irregular time series regression pipeline (arXiv:2311.04470) integrating Lomb–Scargle period detection, feature engineering, and validated statistical modeling.

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.

Lomb Scargle L1 version, as described in Makarov et al. 2024 (arXiv:2405.12324)

Time-Aware Inertial Normalization for Irregularly-Sampled Tabular Streams

Data preprocessing pipeline for HiRID