This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.

This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.

This repository contains a reading list of papers on multivariate time series anomaly detection. This repository is still being continuously improved.

An R package for modelling periodically correlated and periodically integrated time series

an R package implementing the filtering algorithms for the state-space models on the Stiefel manifold

Covered All Machine Learning Domain Knowledge Hands on practices, Worked on Data Preprocessing steps that include Data Cleaning, EDA, Featue Engineering Train on Different type of Models for Classification or Regressiong problems and many more.

This project aims to forecast the future web traffic for approximately 145,000 Wikipedia articles.

A pretrained time-series foundation model developed by Google Research for time-series forecasting. <metadata> gpu: A100 </metadata>

A timeseries forecasting project on stock market data using GRU.

This repository houses complete data science projects.

This repository contains several smaller projects and tutorials that I've created for fun about time series analysis in R.