Popular GitHub Repositories for Dissertation

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

Fog Simulation using Generative Adversarial Networks (GAN). This code is the implementation of the master thesis Simulating Weather Conditions on Digital Images. It uses a modified CycleGAN model to synthesize fog on clear images.

The aim of this dissertation is to assess the effectiveness of LLMs such as FinBERT and GPT-2 in detecting fraudulent activities in financial reports and statements. This repo provides the code for implementing LLMs, traditional machine learning and deep learning models on the labelled dataset

3rd Year University Undergraduate dissertation project, supervised by https://www.nottingham.ac.uk/computerscience/people/thomas.gaertner focusing on using Natural Language Processing, AI Portfolio Optimisation and Machine Learning to produce an Automated Trading Agent. Received 89% overall.

Code for automated brain tumor segmentation from MRI scans using CNNs with attention mechanisms, deep supervision, and Swin-Transformers. Based on my Master's dissertation project at Brunel University, it features 3 deep learning models, showcasing integration of advanced techniques in medical image analysis.

Codebase for Master's dissertation in Mathematics at Durham University. Topic: applying neural networks to differential equations. Grade: 85/100.

A reinforcement learning object detector leveraging saliency ranking, offering a self-explainable system with a fully observable action log. | B.Sc. IT (Hons) Artificial Intelligence Dissertation | University of Malta Dean's List Awards 2024

MSc Informatics dissertation project - University of Edinburgh: Curiosity in Multi-Agent Reinforcement Learning

This is the GitHub repository for my Masters dissertation titled: Artificial Intelligence for Web Accessibility which I completed as a part of my MSc in Data Science course in the University of Southampton, UK under the supervision of Prof. Mike Wald

Contains code used for my undergraduate dissertation research project centred around sentiment analysis of the Bitcoin cryptocurrency

My M.Sc. dissertation: Modern Data Platform using DataOps, Kubernetes, and Cloud-Native ecosystem to build a resilient Big Data platform based on Data Lakehouse architecture which is the base for Machine Learning (MLOps) and Artificial Intelligence (AIOps).

Durham University, Dissertation: 1st - 92. Additional Materials and Codebase for the paper: Combining Recent Advances in Reinforcement Learning for Super Mario Bros. - Recurrent Replay Deeper Denser Distributed DQN+ (R2D4+).

This repository contains tools and programs used to conduct research into the emergence of cooperation in artificial social networks.

Xray Xplorer · CNN, XGBoost & Grad-CAM · COVID-19 Detection in Chest X-Ray Images Using Explainable Boosting Algorithms · Flask Web Application · Python, TensorFlow, Keras

MSc Dissertation project

The Celestial Beyonds is a Space Hub Exploration and Action Platformer, with a theme and style of Bees! The research and delivery behind the game focuses on AI companionship in Serious Games.

Original dissertation title: "Extract Emotional Tags from Movie Synopses". The identification, definition, and automatic prediction of a set of emotions in movies, based on their movie abstracts and various metadata.

City Layout Generation using Artificial Neural Networks and Procedural Generation created for my dissertation.

A microbiome knowledge graph was constructed using data from the Human Microbiome Project, IBD cohort. This project was done as a part of my dissertation for my MSc in Health Data Science with The University of Manchester. It was done as an internship with Zifo RnD Solutions, a leading Scientific Informatics Company.

B.Sc. ICT AI Dissertation University of Malta (ICT3909) – Accurate name extraction from broadcast news videos using YOLOv12 for graphic detection, OCR for text recognition, and NER models for identifying personal names. The system processes video frames, extracts names, and generates a structured name timeline.