Projects

Applied AI Systems

Research and engineering projects spanning LLMs, recommender systems, NLP, simulations, and accessibility.

Projects

Python | Fairness | Recommender Systems

MEG-RW

Multi-Group Exposure calibrated Graph Reweighting for Fairness in Recommendation.

Open Project

Python | Multimodal Recommendation | Fairness

MMRec-FAIR

Fairness in multimodal recommender systems.

Open Project

Python | LLMs | Knowledge Graphs

EUI_LLM_KARS

Knowledge-aware recommender system combining knowledge graph embeddings and large language models.

Open Project

Python | LLMs | Knowledge Graphs

LLM-KG-Extraction

Pipeline for extracting and evaluating knowledge graphs from the MovieLens 1M dataset with large language models.

Open Project

Python | Reinforcement Learning | A2C

Deep-Reinforcement-Learning-A2C-

An implementation of Advantage Actor Critic (A2C) reinforcement learning.

Open Project

Jupyter Notebook | GNNs | Fairness

Evaluating-Algorithmic-Fairness-in-GNNs

Evaluation of algorithmic fairness in graph neural networks using the Adult dataset and mitigation strategies.

Open Project