sulemvn
Hi! I'm Suleman from Oslo 🇳🇴, a Master's student diving into quantum simulation and the cool math/physics of tech. Love making complex concepts real! 🚀🧮👨
Not here
Pinned Repositories
3D-CGAN
This project explores the implementation of a 3D Conditional Generative Adversarial Network (CGAN), a cutting-edge technology in 3D image generation using machine learning. The goal is to demonstrate a novel use case, highlighting the state and potential of this technology, its benefits in image generation, limitations, and future prospects.
AI-Enhanced-Debugging-IUIs
This report assesses the use of AI-powered Intelligent User Interfaces (IUIs) in software debugging. It studies participants using an AI-enhanced code editor, gauging usability and efficiency.
Analysis-and-Prediction-of-Fantasy-Premier-League-FPL-Performances
This study applies statistical analysis to Fantasy Premier League data, using regression and correlation to predict player points. It identifies key performance influencers, providing insights into fantasy football analytics. This approach demonstrates the potential and challenges of sports data analysis.
harvesting-Lotka-Volterra
This study applies numerical methods (Euler, Heun, Runge-Kutta) to the Lotka-Volterra model, analyzing the effects of harvesting on prey-predator dynamics. Simulations in Matlab show how different harvesting rates alter population behaviors, providing insights into ecological system modeling.
QuantumKnapsack
This repository explores quantum computing solutions for the Knapsack Problem, blending traditional and quantum methods for optimized problem-solving. It highlights quantum mechanics' role in enhancing computational efficiency, offering a unique approach to complex algorithmic challenges.
sulemvn's Repositories
sulemvn/3D-CGAN
This project explores the implementation of a 3D Conditional Generative Adversarial Network (CGAN), a cutting-edge technology in 3D image generation using machine learning. The goal is to demonstrate a novel use case, highlighting the state and potential of this technology, its benefits in image generation, limitations, and future prospects.
sulemvn/AI-Enhanced-Debugging-IUIs
This report assesses the use of AI-powered Intelligent User Interfaces (IUIs) in software debugging. It studies participants using an AI-enhanced code editor, gauging usability and efficiency.
sulemvn/Analysis-and-Prediction-of-Fantasy-Premier-League-FPL-Performances
This study applies statistical analysis to Fantasy Premier League data, using regression and correlation to predict player points. It identifies key performance influencers, providing insights into fantasy football analytics. This approach demonstrates the potential and challenges of sports data analysis.
sulemvn/harvesting-Lotka-Volterra
This study applies numerical methods (Euler, Heun, Runge-Kutta) to the Lotka-Volterra model, analyzing the effects of harvesting on prey-predator dynamics. Simulations in Matlab show how different harvesting rates alter population behaviors, providing insights into ecological system modeling.
sulemvn/QuantumKnapsack
This repository explores quantum computing solutions for the Knapsack Problem, blending traditional and quantum methods for optimized problem-solving. It highlights quantum mechanics' role in enhancing computational efficiency, offering a unique approach to complex algorithmic challenges.