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mstl

Here are 5 public repositories matching this topic...

Nixtla / statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

Updated Sep 16, 2026
Python

tracyreuter / time-series-forecasting

Forecast time series with >95% accuracy

time-series forecasting prophet demand-forecasting seasonality mstl statsforecast

Updated Sep 11, 2024
Jupyter Notebook

khlaifiabilel / statsforecast

Fork of Nixtla/statsforecast. Lightning ⚡️ fast forecasting with statistical and econometric models.

Updated Jul 30, 2026
Python

hanifkia / CountCast

A Python package for forecasting integer counts in stationary time series using MSTL, Prophet, and SARIMA with conditional seasonalities.

time-series forecasting seasonality prophet-model sarima-model mstl

Updated May 11, 2025
Python

Forecasting-Housing-NZ

GerasimosChristoforatos / Forecasting-Housing-NZ

A three stage architecture for forecasting New Zealand's residential construction activity (consents, gross floor area, value) at typology resolution. It uses MSTL, LSTMs for residual learning, and empirical minimum trace reconciliation (MinT). Code for Christoforatos & Pickering (2026), ESWA.

deep-learning time-series reconciliation forecasting residual-learning lstms hierarchical-forecasting mstl residential-sector

Updated Sep 10, 2026
Python

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