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  1. NumPy-Neural-Network NumPy-Neural-Network Public

    A modulable neural network architecture implemented exclusively with Python and NumPy.

    Python 1

  2. Accelerating-a-discrete-2d-convolution-using-FFT Accelerating-a-discrete-2d-convolution-using-FFT Public

    Accelerating a discrete 2d convolution using FFT

    Jupyter Notebook

  3. SWI-Prolog-Gomoku SWI-Prolog-Gomoku Public

    This is an implementation of Gomoku in SWI-Prolog.

    Prolog

  4. Automatic-differentiation Automatic-differentiation Public

    A simple implementation of automatic differentiation in Python

    Python 1 1

  5. models_comparison models_comparison Public

    Generates animated plots of different models of neural network classifiers during learning in order to compare them.

    Jupyter Notebook 10

  6. Constellation Constellation Public

    Constellation is a visualization tool created to observe the progression of neural network binary classifiers during training.

    Python 1