Abstract: Highlights•The first deep learning toolbox towards EEG-based emotion recognition.•A workflow that divides the recognition system into five plug-and-play modules.•Built-in functions cover datasets, transformations, models, algorithms, and more.•A novel window-centric EEG I/O is to enhance system effectiveness.•Experiments demonstrate benchmark performance across various scenarios.
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