Mohamed Ayoob's repositories
facenet-face-recognition
This is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.
Regression-Template
Regression Template for Scalable and Server Side Execution
Check-GH-Repo-Size
A program to check the size of a GitHub repo before cloning.
Image-Classification-Templates
Templates from PyTorch for Deep Learning Tasks
CERN-CMS-Muon-Estimation-Tasks
This is series of task done for the CERN CMS Muon estimation project
google-research
Google Research
Deep-Reinforcement-Learning-Nanodegree
Projects attempted in the Reinforcement Degree Nanodegree program
DeepLearning-nanodegree-PyTorch
A collection of notebooks and projects done as a part of Udacity's Deep Learning Nanodegree using Pytorch. https://www.udacity.com/course/deep-learning-nanodegree--nd101
Dog_Classification
A Nanodegree project for Deep Learning - udacity
liquid-environments
Application made for the Visiting Student Research Program at KAUST
neural-symbolic-machines
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
clusterGAN
Pytorch Implementation of ClusterGAN (arXiv:1809.03627)
IOT-datathon-traffic-contraception
Traffic Contraception is a system that loads location based data from various different cities to get meaningful insights on traffic modelling and management. I take data handling from 2 vantage points. Visualization and Statistical modelling. Visualization is mandatory before performing machine learning operations or statistical modelling, and visualization help us familiarize with the data. After visualizing the data I modeled the data on statistical models. After modelling statistically the data was visualized on graphs for domain experts and city planners to analyze and make prudent changes to the traffic system. Such changes will have potentials to optimize the traffic flow thereby giving a better commute to load-intensive highways.
Maze-Robot-Game
Maze Robot game made in the B programming language, using Atelier B and Pro B (Used Visual Studio Code B method plugin to develop)
Reasoning-about-programs-tutes
Tutorial repository for the reasoning about programming module
TensorFlowGuide
This is an example of a guide into TensorFlow, there are quick and dirty ways to get things up and running in TensorFlow
the-gan-zoo
A list of all named GANs!
TrainBuddy
TrainBuddy is a mobile web application which was implemented with a group effort as an assignment for Mobile User Experience. This application is a gamified app with an intention of encouraging travellers to use the Train for them to commute in a specific country.