×

Deeptime

swMATH ID: 38179
Software Authors: Hoffmann, Moritz; Scherer, Martin; Hempel, Tim; Mardt, Andreas; Silva, Brian de; Husic, Brooke E.; Klus, Stefan; Wu, Hao; Kutz, Nathan; Brunton, Steven L.; Noé, Frank
Description: Deeptime is a Python library for analysis of time series data. In particular, methods for dimension reduction, clustering, and Markov model estimation are implemented. The API is similar to that of scikit-learn and offers basic compatibility to its tools via ducktyping. Deeptime can be installed via pip (pip install deeptime) and is also available via conda on conda-forge (conda install -c conda-forge deeptime).
Homepage: https://deeptime-ml.github.io
Source Code:  https://github.com/deeptime-ml/deeptime
Dependencies: Python
Keywords: Dynamical Systems; arXiv_math.DS; arXiv_cs.LG; Mathematical Physics; arXiv_math-ph; Computational Physics; arXiv_physics.comp-ph; Machine Learning; arXiv_stat.ML
Related Software: Python; PyEMMA; VAMPnets; RESTART; DGM; PyKoopman; mpEDMD; pykoop; KoopmanLab; Adam; PyDMD; PySINDy; PyPI; TS-CHIEF; rocket; GitHub; darts; PyEMD; cesium; Banpei
Cited in: 1 Document

Standard Articles

1 Publication describing the Software Year
Deeptime: a Python library for machine learning dynamical models from time series data arXiv
Hoffmann, Moritz; Scherer, Martin; Hempel, Tim; Mardt, Andreas; Silva, Brian de; Husic, Brooke E.; Klus, Stefan; Wu, Hao; Kutz, Nathan; Brunton, Steven L.; Noé, Frank
2021

Cited in 1 Serial

1 Acta Numerica

Citations by Year