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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