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SESNNet documentation
SESNNet documentation
  • Introduction
  • Quickstart
  • Code Documentation
    • Data
      • Dataset
      • Transform
    • STFT
    • Modules
      • Speech enhancement
      • Spiking Neural Network
        • SNN model
          • SNN base class
          • FCSNN class
          • CSNN class
          • U-Net SNN class
          • ResBottleneck U-Net SNN class
        • SNN layer
          • Linear layer class
          • Scale layer class
          • Recurrent layer class
          • Upsampling layer class
          • Neuron model layer class
          • LIF layer class
        • SNN block
          • Fully Connected block class
          • Convolutional block class
          • Residual block class
      • Surrogate gradient
        • SuperSpike
        • Sigmoid Derivative
        • ATan Derivative
        • Piecewise Linear
      • Artificial Neural Network
        • ANN model
          • ANN base class
          • CNN class
          • U-Net ANN class
          • ResBottleneck U-Net ANN class
        • ANN block
          • Convolutional block class
          • Residual block class
      • Training/Testing
      • Loss
    • Evaluation
    • Visualization
  • Project Files Structure
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Data#

These are the modules that handle data management and transformation.

  • Dataset
    • DatasetManager
  • Transform
    • TransformManager
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Code Documentation
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