tslearn-team/tslearn
A Python machine learning toolkit specialized for time series analysis including classification, clustering, and dynamic time warping.
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tslearn is a Python library providing machine learning algorithms specifically designed for time series data. It implements common time series operations such as classification, clustering, and similarity measurement using dynamic time warping (DTW). The toolkit offers compatible interfaces with scikit-learn for estimators and transformers, enabling standard ML workflows on time- series datasets.
Frequently asked
- What is tslearn-team/tslearn?
- A Python machine learning toolkit specialized for time series analysis including classification, clustering, and dynamic time warping.
- Is tslearn open source?
- Yes — tslearn-team/tslearn is open source, released under the BSD-2-Clause license.
- What language is tslearn written in?
- tslearn-team/tslearn is primarily written in Python.
- How popular is tslearn?
- tslearn-team/tslearn has 3.2k stars on GitHub.
- Where can I find tslearn?
- tslearn-team/tslearn is on GitHub at https://github.com/tslearn-team/tslearn.