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convolutional-neural-networks

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This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels, ResNet-like and DenseNet-like models, training code based on accelerate/PyTorch, as well as scripts for experiments with CIFAR-10 and Tiny ImageNet.

  • Updated Jun 1, 2024
  • Python

Deep learning project for the keyword spotting task. I designed two architectures and compared them against an existing approach in the literature, obtaining competitive results. with the Speech Commands dataset.

  • Updated May 31, 2024
  • Jupyter Notebook

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