Popular GitHub Repositories for Autots

Automated Time Series Forecasting

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.

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

An easy to use low-code open-source python framework for Time Series analysis, visualization, forecasting along with AutoTS

Predicting the future prices of cryptocurrency is based on the problem of Time series analysis

Auto-ML/Viz/TS/WHO

This project presents a comparative study of three distinct approaches to temperature forecasting: traditional statistical models, automated time series (AutoTS) frameworks, and prompt-based large language models (LLMs).