My coursework for Machine Learning (2021 Spring) at National Taiwan University (NTU)

Overview

Machine Learning 2021

Machine Learning (NTU EE 5184, Spring 2021)

Instructor: Hung-yi Lee

Course Website : (https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.html)


Homeworks

# Homework Public score Private Score Score Ranking*
1 Regression 0.87985 0.91099 9 Top 35% (709/2032)
2 Classification 0.76324 0.76319 10.5 Top 5% (59/1522)
3 CNN 0.83094 0.82546 10.5 Top 7% (87/1404)
4 Self-Attention 0.96857 0.96888 10.5 Top 7% (81/1170)
5 Transformer 33.53 32.27 10.5 Top 1% (11/1110)
6 GAN (0.688, 7722.47) NA 10.5 Top 41% (405/1118)
7 BERT 0.85926 0.85157 10.5 Top 4% (39/1263)
8 Anomaly Detection 0.90118 0.89286 10.5 Top 9% (104/1193)
9 Explainable AI NA NA 9.7 NA
10 Attack 0.010 0.010 10.5 Top 14% (154/1162)
11 Adaptation 0.78806 0.78744 10 Top 26% (268/1061)
12 RL 287 NA 10.5 Top 2% (10/766)
13 Compression 0.75686 0.75493 9.5 Top 19% (109/590)
14 Life-Long Learning NA NA 9.2 NA
15 Meta Learning NA NA 10 NA

*Ranking is based on private leaderboard


Viewing Jupyter notebook

Sometimes the error message "Sorry, something went wrong. Reload?" appears when viewing *.ipynb on a GitHub.

We recommend using nbviewer to view the *.ipynb files

Simply copy the URL of this repository to https://nbviewer.jupyter.org/

Download Google Drive files with WGET

Example of a Google Drive download link (HW3 data): https://drive.google.com/file/d/1awF7pZ9Dz7X1jn1_QAiKN-_v56veCEKy/view

The url has the following format https://drive.google.com/file/d/[ID]/view

Copy the ID and run the script wgetgdrive.sh as follows

chmod a+x ./wgetgdrive.sh
./wgetgdrive.sh [ID] [file_name]

For example, to download the data of HW3 and name it as food-11.zip, simply run the following

chmod a+x ./wgetgdrive.sh
./wgetgdrive.sh 1awF7pZ9Dz7X1jn1_QAiKN-_v56veCEKy food-11.zip

Achievement

I finish the 15 assignments with all scores above 9 pts and win a T-shirt as a prize. Only the top 2% (17/1280) students own such an achievement.

shirt

Owner
National Taiwan University. M.S. in Electrical Engineering, 2021
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A Deep Reinforcement Learning Framework for Stock Market Trading

DQN-Trading This is a framework based on deep reinforcement learning for stock market trading. This project is the implementation code for the two pap

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Summary Explorer Summary Explorer is a tool to visually inspect the summaries from several state-of-the-art neural summarization models across multipl

Webis 42 Aug 14, 2022
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RealHePoNet: a robust single-stage ConvNet for head pose estimation in the wild.

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Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

TensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extens

TensorLayer Community 7.1k Dec 29, 2022
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021)

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