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Introduction to the model_selection Module

Introduction to the model_selection Module

Introduction to the transforms Module

Introduction to the transforms Module

Using TorchEEG to Complete a Deep Learning Workflow

Using TorchEEG to Complete a Deep Learning Workflow

Train a CCNN Model on the SEED Dataset

Train a CCNN Model on the SEED Dataset

Train a DGCNN Model on the AMIGOS Dataset

Train a DGCNN Model on the AMIGOS Dataset

Train a Tsception Model on the DREAMER Dataset

Train a Tsception Model on the DREAMER Dataset

Introduction to the datasets Module

Introduction to the datasets Module

Train a C-WGAN-GP Model on the DEAP Dataset

Train a C-WGAN-GP Model on the DEAP Dataset

Apply the Domain Adaption Algorithm on the SEED Dataset

Apply the Domain Adaption Algorithm on the SEED Dataset

Transfer Learning from MAHNOB-HCI to DEAP

Transfer Learning from MAHNOB-HCI to DEAP

Training Models Using Vanilla PyTorch

Training Models Using Vanilla PyTorch

Introduction to the models Module

Introduction to the models Module

Introduction to the trainers Module

Introduction to the trainers Module

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