PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Decompose a signal/timeseries into structure and noise or seasonal and residual components

Teleconnection-driven vision transformers for improved long-term forecasting

Python interface for CPT

Enables advent calendars on your WordPress blog.

Make spring, summer, fall, and winter playlists from your listening history on Last.fm.

Code to accompany WATS Plot article

Using SARIMAX for Time Series Forecasting on Seasonal Data that is influenced by Exogenous variables

This project seeks to simulate the atmospheric and surfacic temperature maps that would occur on exoplanets. We plan on taking into account the type of star and the orbit's profile as well as seasonal shift from axial tilt and what would happen on tidally locked planets.

Time series modelling with extended regression SARIMA models

Time series decomposition plot trend and seasonality

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

A time series forecast using winter model for a seasonal data.

This is our final project for Data Science and Applications Course

Automatic Anomaly Detection system with minimal setup

Seasonal ESD is an anomaly detection algorithm implemented at Twitter: https://arxiv.org/pdf/1704.07706.pdf

🪶️🍂️📖️ The official documentation source repository for LibreFlock Seasonal.

A web client for the Seasonal Streamflow Forecasting Service the Australian Bureau of Meteorology.

Seasonal decomposition on the fly with the ggseas R package

A simple calander displaying seasons