research Large Codebase Question Answering A project aimed at developing techniques for answering questions about large software systems using multi-agent and graph-based approaches. Open Source Code Review Perceptions and Expectations A mixed-method study to understand expectations, perceptions, and challenges in the current code review process — with a focus on mitigating bias in OSS. AI-Guided Exploration of Large-Scale Codebases A project exploring how large language models can support software comprehension through multimodal, interactive visualization and guided navigation. work OMV SaaS for Norwegian municipalities to motor vehicle permit in the outfield LIFT MIS A project data management information system barnehageopptak.no SaaS for Norwegian municipalities to kindergarten application iWORLAIS A system for handling land data transactions MASSREG A system for systematic mass registration land information fun Adversarial attack on DL A demonstration fo adversarial attack on CNN based image classification models Backprop from scratch Implemented backpropagation for multi-layer perceptrons (MLPs) and convolutional neural networks (CNNs) CNN Architectures Reimplementation of influential Convolutional Neural Network architectures. Deep Reinforcement Learning Q Learning and Deep Q-Learning to train agents that plays different games Cat Faces A demonstration of GAN for generating cat faces Self-supervised Learning A demonstration of Self Supervised ML Conditional VAE A demonstration of VAE and CVAE for generative modeling
