Mahmoud Abdelkhalek

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

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

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

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

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

rbm-dbn. An implementation of Categorical-Bernoulli (Softmax-Bernoulli) and Bernoulli-Bernoulli RBMs for movie recommendation using PyTorch.

Laplacian-Pyramid-Blending. Demonstrates image blending using Gaussian pyramids and Laplacians.

cycle-gan. Simplified and documented implementation of CycleGAN in PyTorch.

poles-and-zeros. Code used to generate plots in the dsp.stackexchange answer https://dsp.stackexchange.com/a/79206/52433

Gait-Identification. Gait identification using a Variational Autoencoder and a Hidden Markov Model

Bit-error-rate-estimation. Explores the use of confidence intervals when estimating the bit error rate of a digital communications system.