Scalable and user friendly neural 🧠 forecasting algorithms.

Time series forecasting with scikit-learn models

An open source library for Fuzzy Time Series in Python

An extension of LightGBM to probabilistic modelling

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

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

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

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

Probabilistic load forecasting with Reservoir Computing

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

Probabilistic Wind Power Forecasting with R

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

Cross-temporal probabilistic forecast reconciliation repository

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

Qauntile autoregressive neural network for time series anamoly detection.

DeepAR implementation for seasonal influenza cases in German districts

Kernel quantile regression