MUHAMMAD KHUBAIB's Projects
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
In this project, I developed a Convolutional Neural Network (CNN) model for classifying chest x-ray images. The aim of the project was to build a model that could accurately detect the presence of lung diseases, such as pneumonia, in chest x-ray images.
Basic Data Structures
Employee Retention Analysis: Analyzing factors impacting retention using EDA, bar charts, and logistic regression modeling. Code and datasets available.
Integrity Watch (IW) is a smartphone and web-based system that intends to provide an AI-based solution for real-time detection of cheating in educational systems through active image processing and speech analysis.
I developed a machine learning model for predicting SHA, DFA, SFA, SYA, and VNA attacks on IoT devices.
Config files for my GitHub profile.
Classifying movie reviews as positive or negative using Word2Vec Embeddings & LSTM network
Robert-Lafore Solutions