Welcome to the repository for my Machine Learning course assignments! 🎉
This repository contains my code implementations and reports for the assignments assigned during the Machine Learning course at National Taiwan University (NTU) in the spring semester of 2022. The assignments cover a wide range of topics in machine learning, facilitating an enhanced understanding and practical application of various algorithms and techniques.
- Institution: National Taiwan University, College of Electrical Engineering
- Course Title: Machine Learning (2022 Spring)
- Instructor: Professor Hung-Yi Lee
- Course Website: https://speech.ee.ntu.edu.tw/~hylee/ml/2022-spring.php
- HW-01: Regression
- HW-02: Classification
- HW-03: Convolutional Neural Networks (CNN)
- HW-04: Self-Attention Mechanisms
- HW-05: Transformer Architecture
- HW-06: Generative Adversarial Networks (GAN)
- HW-07: Bidirectional Encoder Representations from Transformers (BERT)
- HW-08: Autoencoder
- HW-09: Explainable AI
- HW-10: Adversarial Attacks
- HW-11: Domain Adaptation
- HW-12: Reinforcement Learning (RL)
- HW-13: Compression Techniques
- HW-14: Life-long Learning (
⚠️ Not Yet Implemented) - HW-15: Meta Learning (
⚠️ Not Yet Implemented)
The code for each homework assignment is based on the template provided by the course instructor and teaching assistants. If there are any concerns regarding copyright or related issues, please contact me immediately at [email protected].
Contributions to improve the codebase, documentation, or address any issues are welcomed. If you have ideas for enhancements, bug fixes, or would like to collaborate on pending assignments (e.g., HW-14 and HW-15), please feel free to create a pull request or get in touch. Your feedback is valuable, and I appreciate any contributions or suggestions that enhance the code quality and understanding of the covered topics.
Let's learn and grow together in the fascinating field of Machine Learning! 🚀