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The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs and Cascaded CNNs with LSTMs.
Implementation of Brain Signal Classification via Learning Connectivity Structure
Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.
EVRP算法部分代码
EVRP的web系统完整项目
Electric vehicle routing problem with time windows and mixed backhauls (obsolete)
EEG emotion classification based on Graph CNN and fine-gained algorithm.
:books: Freely available programming books
http://www.eecs.qmul.ac.uk/mmv/datasets/deap/
Graph Convolutional Networks for 4-class EEG Classification
http://www.eecs.qmul.ac.uk/mmv/datasets/deap/
GCN with MNE input and preprocessing
Python + EEG/MEG = PyEEG
Geometric Deep Learning Extension Library for PyTorch
旅行商问题吧
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