Scalable and user friendly neural 🧠 forecasting algorithms.

Time series forecasting with machine learning models

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification, clustering, forecasting, and much more!

An extension of LightGBM to probabilistic modelling

An open source library for Fuzzy Time Series in Python

[NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

Valid and adaptive prediction intervals for probabilistic time series forecasting.

Bayesian time series prediction

Code for paper "Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach" https://arxiv.org/abs/2206.02433

Code for "Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts", IJCAI 2022

Predicting the probability of nocturnal hypoglycemic events with probabilistic forecasting.

Scalable Models of Probabilistic Forecasting with Fuzzy Time Series, PhD Thesis

Probabilistic load forecasting with Reservoir Computing

T-DPnet-Transformer-based-deep-Probabilistic-network-for-load-forecasting

Kernel quantile regression

This repository contains code and data for probabilistic forecasting of electricity loads.

Probabilistic Wind Power Forecasting with R

Cross-temporal probabilistic forecast reconciliation repository

Codes in this repository generate probabilistic forecasts of international migration flows between the 200 most populous countries.

Predicting Demand in Primary Health Care Centers in Lebanon: Insight from Syrian Refugees Crisis