johannfaouzi/pyts
A Python library for time series classification implementing state-of-the-art algorithms with scikit-learn compatibility.
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pyts is a Python package for time series classification that provides preprocessing utilities, transformation tools, and implementations of state-of-the-art classification algorithms. It is built on top of NumPy, SciPy, Scikit-learn, and Numba, offering a scikit-learn compatible API for tasks such as feature extraction, dimensionality reduction, and classification of time series data.
Frequently asked
- What is johannfaouzi/pyts?
- A Python library for time series classification implementing state-of-the-art algorithms with scikit-learn compatibility.
- Is pyts open source?
- Yes — johannfaouzi/pyts is open source, released under the BSD-3-Clause license.
- What language is pyts written in?
- johannfaouzi/pyts is primarily written in Python.
- How popular is pyts?
- johannfaouzi/pyts has 1.9k stars on GitHub.
- Where can I find pyts?
- johannfaouzi/pyts is on GitHub at https://github.com/johannfaouzi/pyts.