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Mahmoud Abdelkhalek's Projects

bit-error-rate-estimation icon bit-error-rate-estimation

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

conv2d icon conv2d

Demonstrates 2D convolution using basic NumPy operations.

cough-detection icon cough-detection

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

cycle-gan icon cycle-gan

Simplified and documented implementation of CycleGAN in PyTorch.

em-algorithm-gmm icon em-algorithm-gmm

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

isensor-fx3-eval icon isensor-fx3-eval

Analog Devices IMU/ADcmXL Evaluation GUI built on the iSensor-FX3-API (for EVAL-ADIS-FX3 board)

journalclubs icon journalclubs

Updated notebooks originally written for ML@B journal club

maximum-likelihood-estimation icon 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.

nerf icon nerf

Code release for NeRF (Neural Radiance Fields)

poles-and-zeros icon poles-and-zeros

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

rbm-dbn icon rbm-dbn

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

scipy icon scipy

SciPy library main repository

stack-exchange-backup icon stack-exchange-backup

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

sutherland-hodgman icon sutherland-hodgman

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

tuning_playbook icon tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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