kooplearn is a machine-learning library that implements linear, kernel, and deep-learning estimators of dynamical operators and their spectral decompositions. The library is compatible with the scikit-learn API, facilitating its integration into existing machine learning and data science workflows. Additionally, kooplearn includes curated benchmark datasets to support experimentation, reproducibility, and fair comparison of learning algorithms.
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kooplearn: A Scikit-Learn Compatible Library of Algorithms for Evolution Operator Learning
Key Takeaway
kooplearn is a machine-learning library that implements linear, kernel, and deep-learning estimators of dynamical operators and their spectral decompositions.
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