This repository contains my coursework submissions for the "Generative Artificial Intelligence" class. It includes 5 homework assignments and 1 final project, covering core topics in generative AI such as clustering, association rules, CNNs, GANs, and LLMs.
- HW1 - Clustering, Classification, and Association Rules
- HW2 - CNN for Image Classification
- HW3 - Text Data Augmentation with GAN
- HW4 - LLM Fine-Tuning for Churn Prediction
- HW5 - LLM + RAG (Web, PDF, and Dataset QA)
- Final Project - Object Detection with YOLO
Based on our own retraining process and dataset, inspired by:
achen353/Taiwanese-Traffic-Object-Detection
The structure and major steps are largely based on the reference repository.
We learned a lot from their setup and adapted it to train our own models using custom data.
This image shows bounding boxes and labels detected from a real-world scene using two models:
- This repository is a work in progress and may continue to be updated.
- Everyone is welcome to explore, use, or modify the code for learning and educational purposes.
- Some parts of the code are adapted from teaching assistants and open-source resources.