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The document introduces BatteryML, an open-source platform designed to facilitate machine learning applications in battery degradation research by addressing challenges such as heterogeneous data and the need for standardized methodologies. It offers a unified data representation and a comprehensive suite of tools for data preprocessing, feature extraction, and model implementation, thereby promoting collaboration among experts in the field. BatteryML aims to enhance the efficiency and effectiveness of batt

Author

tianwang042000

Language

EN