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1. sutherland-hodgman sutherland-hodgman Public

   A differentiable Python implementation of the Sutherland–Hodgman algorithm for clipping polygons in 2D.

   Python 38 4

2. cough-detection cough-detection Public

   Implements data-driven approaches for the detection of coughs in patients with respiratory illnesses.

   Python 15 1

3. maximum-likelihood-estimation maximum-likelihood-estimation Public

   This tutorial demonstrates how to compute maximum likelihood estimates of the parameters of a Gaussian distribution both analytically and using gradient descent.

   Jupyter Notebook 5 3

4. stack-exchange-backup stack-exchange-backup Public

   Download all of your questions and answers from all Stack Exchange sites as Markdown files using a Python script.

   Python 1 1

5. cycle-gan cycle-gan Public

   Simplified and documented implementation of CycleGAN in PyTorch.

   Python 1

6. em-algorithm-gmm em-algorithm-gmm Public

   Implements the Expectation-Maximization algorithm to estimate the parameters of a Gaussian Mixture Model.

   MATLAB 3