tslearn and tsml-py
About tslearn
tslearn-team/tslearn
The machine learning toolkit for time series analysis in Python
This toolkit helps data scientists and machine learning engineers analyze sequential data by providing specialized algorithms for time series. You input raw time series data, and it helps you preprocess, classify, cluster, or predict trends within that data. It's designed for practitioners who work with data that changes over time, such as sensor readings, stock prices, or patient vitals.
About tsml-py
time-series-machine-learning/tsml-py
A toolkit for time series machine learning algorithms that don't fit in aeon. Use aeon instead if you can!
This toolkit provides a sandbox for experimenting with new and in-development machine learning algorithms specifically designed for time series data. It helps data scientists and researchers test out novel approaches for tasks like forecasting or anomaly detection. You input your time series datasets and apply these experimental algorithms to see their performance and potential.
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