pmdarima
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
https://github.com/nixtla/hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
graph_weather
Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)
https://github.com/business-science/timetk
Time series analysis in the `tidyverse`
gis4wrf
QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀
https://github.com/business-science/sweep
Extending broom for time series forecasting
midasml
midasml package is dedicated to run predictive high-dimensional mixed data sampling models
https://github.com/artefactory/streamlit_prophet
Streamlit app to train, evaluate and optimize a Prophet forecasting model.
https://github.com/aariq/efi-2022-phenocam
Phenocam forecasting challenge done as part of the NEFI short course in 2020 https://ecoforecast.org/nefi2022/
https://github.com/dc-research/tempo
The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for forecasting task v1.0 version.
https://github.com/earthai-tech/fusionlab-learn
fusionlab-learn: Igniting Next-Gen Temporal Fusion Architectures