GluonTS: Probabilistic Time Series Models in Python

Alexandrov, Alexander, Benidis, Konstantinos, Bohlke-Schneider, Michael, Flunkert, Valentin, Gasthaus, Jan, Januschowski, Tim, Maddix, Danielle C., Rangapuram, Syama, Salinas, David, Schulz, Jasper, Stella, Lorenzo, Türkmen, Ali Caner, Wang, Yuyang

arXiv.org Machine Learning 

We introduce Gluon Time Series (GluonTS, available at https://gluon-ts.mxnet.io), a library for deep-learning-based time series modeling. GluonTS simplifies the development of and experimentation with time series models for common tasks such as forecasting or anomaly detection. It provides all necessary components and tools that scientists need for quickly building new models, for efficiently running and analyzing experiments and for evaluating model accuracy.

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