Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
-
Updated
Apr 27, 2026 - Python
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Multivariate Time Series Repository
A full ML pipeline to forecast AQI levels using time-series pollutant data, combining Echo State Networks for pollutant prediction and XGBoost for multi-step AQI classification, with end-to-end experiment tracking via MLflow.
Predicting, how many left, left-leaning, right, right-leaning and center tweets , GAB posts and their likes are being posted for next day and next few 7 days.
A modernized version of the original Facebook Research MBRL-lib library for Model Based RL
Add a description, image, and links to the multi-step-forecasting topic page so that developers can more easily learn about it.
To associate your repository with the multi-step-forecasting topic, visit your repo's landing page and select "manage topics."