Scalable and user friendly neural 🧠 forecasting algorithms.
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Updated
Oct 17, 2024 - Python
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
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