This repository contains homework assignments for the Machine Learning course (2025 Spring) taught by Professor Hung-yi Lee at National Taiwan University.
- Course Website: https://speech.ee.ntu.edu.tw/~hylee/ml/2025-spring.php
- Instructor: Professor Hung-yi Lee
- Semester: Spring 2025
- Institution: National Taiwan University (NTU)
2025_NTU_ML/
├── README.md
├── HW1/ # Homework 1: Retrieval Augmented Generation with Agents
| ├── mlhw1.ipynb # Main Jupyter notebook
| └── ...
├── ...
Selected homework solutions are also uploaded to Kaggle:
- Kaggle Profile: https://www.kaggle.com/simonchu
This repository is for educational purposes and personal learning. Please follow your institution's academic integrity policies when referencing or using this code.
This repository is for academic use only. Model weights and datasets are subject to their respective licenses.
For questions about the course content, please refer to the official course website or contact the teaching assistants through the course platform.
Note: This repository documents homework solutions for the NTU ML 2025 Spring course. The implementations demonstrate various machine learning concepts including large language models, retrieval augmented generation, and multi-agent systems.