PyTorchTS swMATH ID: 38190 Software Authors: Kashif Rasul; Abdul-Saboor Sheikh; Ingmar Schuster; Urs Bergmann; Roland Vollgraf; Calvin Seward Description: PyTorchTS is a PyTorch Probabilistic Time Series forecasting framework which provides state of the art PyTorch time series models by utilizing GluonTS as its back-end API and for loading, transforming and back-testing time series data sets. Homepage: https://arxiv.org/abs/2101.12072 Source Code: https://github.com/zalandoresearch/pytorch-ts Dependencies: Python Related Software: DeepAR; prophet; EnKF; DeepONet; SGDR; SeqGAN; Adam; PyEMD; Deeptime; darts; cesium; Banpei; ta; TA-Lib; surfboard; SigPy; PyRate; PyCBC; MintPy; jhTAlib Cited in: 2 Publications all top 5 Cited by 10 Authors 1 Ernst, Jakob 1 Feindt, Michael 1 Gifford, Wesley M. 1 Kerzel, Ulrich 1 Li, Zan 1 Singhal, Trapti 1 Stemmer, Daniel 1 Wick, Felix 1 Wolf, Moritz 1 Yeo, Kyongmin Cited in 2 Serials 1 SIAM Journal on Scientific Computing 1 SN Operations Research Forum Cited in 4 Fields 2 Statistics (62-XX) 2 Computer science (68-XX) 1 Probability theory and stochastic processes (60-XX) 1 Operations research, mathematical programming (90-XX) Citations by Year