#Probabilistic-forecasting

Nixtla

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

skforecast

skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

PYFTS

pyFTS

An open source library for Fuzzy Time Series in Python

yotambraun

APDTFlow

APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordinary differential equations (Neural ODEs), transformer-based components, and probabilistic modeling. Its modular design allows researchers and practitioners to experiment with multiple forecasting models and easily

IoannisNasios

M5_Uncertainty_3rd_place

M5 Uncertainty kaggle competition, 3rd place solution