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

Last update: Dec 26, 2022

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.

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

Related tags

Overview

Machine Learning 2021

Homeworks

Viewing Jupyter notebook

Download Google Drive files with WGET

Achievement

Owner

An Unbiased Learning To Rank Algorithms (ULTRA) toolbox

An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi

System Design course at HSE (2021)

Code for the paper "Implicit Representations of Meaning in Neural Language Models"

FinRL-Meta: A Universe for Data-Driven Financial Reinforcement Learning. 🔥

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

Generalized Data Weighting via Class-level Gradient Manipulation

Official git repo for the CHIRP project

An open source implementation of CLIP.

PyTorch implementation of the paper Dynamic Token Normalization Improves Vision Transfromers.

This is the solution for 2nd rank in Kaggle competition: Feedback Prize - Evaluating Student Writing.

The official repo of the CVPR2021 oral paper: Representative Batch Normalization with Feature Calibration

code for "Self-supervised edge features for improved Graph Neural Network training",

Testbed of AI Systems Quality Management

Generating Radiology Reports via Memory-driven Transformer

Pytorch Implementation of "Desigining Network Design Spaces", Radosavovic et al. CVPR 2020.

Dataset and Code for the paper "DepthTrack: Unveiling the Power of RGBD Tracking" (ICCV2021), and "Depth-only Object Tracking" (BMVC2021)

Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"

MBPO (paper: When to trust your model: Model-based policy optimization) in offline RL settings

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

Related tags

Overview

Machine Learning 2021

Homeworks

Viewing Jupyter notebook

Download Google Drive files with WGET

Achievement

Owner

An Unbiased Learning To Rank Algorithms (ULTRA) toolbox

An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi

System Design course at HSE (2021)

Code for the paper "Implicit Representations of Meaning in Neural Language Models"

FinRL­-Meta: A Universe for Data­-Driven Financial Reinforcement Learning. 🔥

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

Generalized Data Weighting via Class-level Gradient Manipulation

Official git repo for the CHIRP project

An open source implementation of CLIP.

PyTorch implementation of the paper Dynamic Token Normalization Improves Vision Transfromers.

This is the solution for 2nd rank in Kaggle competition: Feedback Prize - Evaluating Student Writing.

The official repo of the CVPR2021 oral paper: Representative Batch Normalization with Feature Calibration

code for "Self-supervised edge features for improved Graph Neural Network training",

Testbed of AI Systems Quality Management

Generating Radiology Reports via Memory-driven Transformer

Pytorch Implementation of "Desigining Network Design Spaces", Radosavovic et al. CVPR 2020.

Dataset and Code for the paper "DepthTrack: Unveiling the Power of RGBD Tracking" (ICCV2021), and "Depth-only Object Tracking" (BMVC2021)

Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"

MBPO (paper: When to trust your model: Model-based policy optimization) in offline RL settings

FinRL-Meta: A Universe for Data-Driven Financial Reinforcement Learning. 🔥