Scalable and user friendly neural 🧠 forecasting algorithms.

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

Time-Series models for multivariate and multistep forecasting, regression, and classification

Dataiku DSS plugin to automate time series forecasting with Deep Learning and statistical models 📈

Devday2023 - Optimizer Power Use - Forecasting power generation and power demand at grid

OUTBREAK! is a dashboard that automatically identifies potential outbreaks of CDC nationally notifiable diseases using weekly data and DeepAR forecasting on AWS.