ari-dasci/S-TSFE-DL
Time Series Feature Extraction using Deep Learning
This library helps data scientists and machine learning engineers analyze complex time series data by extracting meaningful features. It takes raw time series data, such as sensor readings or financial logs, and transforms it into rich spatio-temporal features using deep learning models. The output can then be used to improve the accuracy of predictions or classifications in various real-world applications.
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Use this if you are a data scientist or machine learning engineer working with time series data and need advanced deep learning methods to extract features for better predictive models.
Not ideal if you are looking for a plug-and-play solution without deep learning experience or if you need to perform simple, classical time series analysis.
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63
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10
Language
Python
License
AGPL-3.0
Category
Last pushed
Sep 10, 2025
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