This is the assignments for the Machine Learning lecture by Hung-Yi Lee in National Taiwan University (NTU). Each folder contains .ipynb files and .py files.
| # | Homework | Slide | Code | Public score | Private Score | Score |
|---|---|---|---|---|---|---|
| 0 | Colab Tutorial | Link 1 Link 2 Link 3 |
Colab Tutorial | X | X | X |
| 1 | Regression | Link | COVID-19 Cases Prediction | 0.80332 |
0.84204 |
9 |
| 2 | Classification | Link | Phoneme Classification | 0.83261 |
0.83219 |
10 |
| 3 | CNN | Link | Image Classification | 0.85466 |
0.85866 |
9 |
| 4 | Self-Attention | Link | Speaker Identification | 0.96050 |
0.96400 |
10 |
| 5 | Transformer | Link | Machine Translation | 30.28 |
29.69 |
9.5 |
| 6 | Generative Model | Link | Anime Face Generation Diffusion Model | 0.715,8103.67 |
X | 10 |
| 7 | BERT | Link | BERT-Question Answering | 0.84279 |
0.84506 |
10 |
| 8 | Auto-Encoder | Link | Anomaly Detection | 0.83660 |
0.83877 |
10 |
| 9 | Explainable AI | Link | Explainable AI | X | X | 10 |
| 10 | Attack | Link | Adversarial Attack | 0.07 |
0.10 |
10 |
| 11 | Adaptation | Link | Domain Adaptation | 0.82710 |
0.82892 |
10 |
| 12 | Reinforcement Learning | Link | Lunar Lander | 276 |
X | 10 |
| 13 | Network Compression | Link | Food-11 Classification | 0.82687 |
0.81244 |
9.5 |
| 14 | Life-Long Learning | Link | Regularization-based Lifelong Learning | X | X | 9.4 |
| 15 | Meta Learning | Link | Few-shot Classification | 0.96875 |
0.94886 |
10 |
Note
The solutions above are for reference only. Don't plagarize directly.