My course projects for the 2021 Spring Machine Learning course at the National Taiwan University (NTU)

Last update: Aug 29, 2022

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Deep Learning ML2021Spring

Overview

ML2021Spring

There are my projects for the 2021 Spring Machine Learning course at the National Taiwan University (NTU)

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

Instructor: Hung-yi Lee

Note :

All of the projects run on Jupter Notebook(.ipynb ), remember to adjust the environment setting ( Colab drive mount, file directory... ) before you use it
To get the source data, you can reference the content in each project file or the slide of each project introduction on course web
I mainly focus on understanding the concept and the implementation of the related models, you can further enhance the result by adjusting model architecture/parameters yourself : )

Course Porjects

Num	Topic	Model	Public Score	Private Score
1	COVID-19 Cases Prediction	Regression	0.89477	0.91152
2	Phoneme Classification	Classification	0.74934	0.74925
3	Food Classification	CNN	0.82437	0.81829
4	Speaker Classification	Self-Attention	0.95595	0.95333
5	Neural Machine Translation	Transformer	N/A	N/A
6	Anime Face Generation	GAN	N/A	N/A
7	Question Answering	BERT	0.82723	0.82979
12	Lunar Lander	Reinforcement Learning	N/A	N/A

Score is the test result from the opened kaggle platform, N/A means the test platform is not opened to non NTU students, reference the kaggle info on course web
You can see more info and learning keywords in the corresponding project page

Owner

Ding-Li Chen

Ding-Li Chen

GitHub Repository

Code image classification of MNIST dataset using different architectures: simple linear NN, autoencoder, and highway network

Deep Learning for image classification pip install -r http://webia.lip6.fr/~baskiotisn/requirements-amal.txt Train an autoencoder python3 train_auto

0 Mar 30, 2022

Proof-Of-Concept Piano-Drums Music AI Model/Implementation

Rock Piano "When all is one and one is all, that's what it is to be a rock and not to roll." ---Led Zeppelin, "Stairway To Heaven" Proof-Of-Concept Pi

4 Nov 28, 2021

In the AI for TSP competition we try to solve optimization problems using machine learning.

AI for TSP Competition Goal In the AI for TSP competition we try to solve optimization problems using machine learning. The competition will be hosted

11 Nov 27, 2022

Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling

Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling Code for the paper: Greg Ver Steeg and Aram Galstyan. "Hamiltonian Dynamics with N

25 Mar 14, 2022

A web porting for NVlabs' StyleGAN2, to facilitate exploring all kinds characteristic of StyleGAN networks

This project is a web porting for NVlabs' StyleGAN2, to facilitate exploring all kinds characteristic of StyleGAN networks. Thanks for NVlabs' excelle

150 Dec 15, 2022

A collection of 100 Deep Learning images and visualizations

A collection of Deep Learning images and visualizations. The project has been developed by the AI Summer team and currently contains almost 100 images.

65 Sep 12, 2022

Code for Talking Face Generation by Adversarially Disentangled Audio-Visual Representation (AAAI 2019)

Talking Face Generation by Adversarially Disentangled Audio-Visual Representation (AAAI 2019) We propose Disentangled Audio-Visual System (DAVS) to ad

750 Dec 23, 2022

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

What is DeepHyper? DeepHyper is a software package that uses learning, optimization, and parallel computing to automate the design and development of

214 Jan 08, 2023

Repo for the paper Extrapolating from a Single Image to a Thousand Classes using Distillation

Extrapolating from a Single Image to a Thousand Classes using Distillation by Yuki M. Asano* and Aaqib Saeed* (*Equal Contribution) Extrapolating from

16 Nov 04, 2022

Code, Data and Demo for Paper: Controllable Generation from Pre-trained Language Models via Inverse Prompting

InversePrompting Paper: Controllable Generation from Pre-trained Language Models via Inverse Prompting Code: The code is provided in the "chinese_ip"

101 Dec 16, 2022

Official repository for "Restormer: Efficient Transformer for High-Resolution Image Restoration". SOTA results for single-image motion deblurring, image deraining, image denoising (synthetic and real data), and dual-pixel defocus deblurring.

Restormer: Efficient Transformer for High-Resolution Image Restoration Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan,

906 Dec 30, 2022

TFOD-MASKRCNN - Tensorflow MaskRCNN With Python

Tensorflow- MaskRCNN Steps git clone https://github.com/amalaj7/TFOD-MASKRCNN.gi

2 Jan 18, 2022

A simple Tensorflow based library for deep and/or denoising AutoEncoder.

libsdae - deep-Autoencoder & denoising autoencoder A simple Tensorflow based library for Deep autoencoder and denoising AE. Library follows sklearn st

147 Nov 18, 2022

Code for this paper The Lottery Ticket Hypothesis for Pre-trained BERT Networks.

The Lottery Ticket Hypothesis for Pre-trained BERT Networks Code for this paper The Lottery Ticket Hypothesis for Pre-trained BERT Networks. [NeurIPS

122 Dec 14, 2022

NeurIPS workshop paper 'Counter-Strike Deathmatch with Large-Scale Behavioural Cloning'

Counter-Strike Deathmatch with Large-Scale Behavioural Cloning Tim Pearce, Jun Zhu Offline RL workshop, NeurIPS 2021 Paper: https://arxiv.org/abs/2104

169 Dec 26, 2022

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition (PyTorch) Paper: https://arxiv.org/abs/2105.01883 Citation: @

260 Jan 03, 2023

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context Code in both PyTorch and TensorFlow

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context This repository contains the code in both PyTorch and TensorFlow for our paper

3.3k Jan 06, 2023

Analyses of the individual electric field magnitudes with Roast.

Aloi Davide - PhD Student (UoB) Analysis of electric field magnitudes (wp2a dataset only at the moment) and correlation analysis with Dynamic Causal M

7 Dec 15, 2022

Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR

Codebase for "INVASE: Instance-wise Variable Selection" Authors: Jinsung Yoon, James Jordon, Mihaela van der Schaar Paper: Jinsung Yoon, James Jordon,

50 Nov 11, 2022

General Vision Benchmark, a project from OpenGVLab

Introduction We build GV-B(General Vision Benchmark) on Classification, Detection, Segmentation and Depth Estimation including 26 datasets for model e

174 Dec 27, 2022