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

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
One Million Scenes for Autonomous Driving

ONCE Benchmark This is a reproduced benchmark for 3D object detection on the ONCE (One Million Scenes) dataset. The code is mainly based on OpenPCDet.

148 Dec 28, 2022
Official PyTorch implementation of StyleGAN3

Modified StyleGAN3 Repo Changes Made tied to python 3.7 syntax .jpgs instead of .pngs for training sample seeds to recreate the 1024 training grid wit

Derrick Schultz (he/him) 83 Dec 15, 2022
End-to-end machine learning project for rices detection

Basmatinet Welcome to this project folks ! Whether you like it or not this project is all about riiiiice or riz in french. It is also about Deep Learn

Béranger 47 Jun 18, 2022
Potato Disease Classification - Training, Rest APIs, and Frontend to test.

Potato Disease Classification Setup for Python: Install Python (Setup instructions) Install Python packages pip3 install -r training/requirements.txt

codebasics 95 Dec 21, 2022
This is the repository for the NeurIPS-21 paper [Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels].

CGPN This is the repository for the NeurIPS-21 paper [Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels]. Req

10 Sep 12, 2022
Official Implementation of Swapping Autoencoder for Deep Image Manipulation (NeurIPS 2020)

Swapping Autoencoder for Deep Image Manipulation Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang UC

449 Dec 27, 2022
TC-GNN with Pytorch integration

TC-GNN (Running Sparse GNN on Dense Tensor Core on Ampere GPU) Cite this project and paper. @inproceedings{TC-GNN, title={TC-GNN: Accelerating Spars

YUKE WANG 19 Dec 01, 2022
Apply a perspective transformation to a raster image inside Inkscape (no need to use an external software such as GIMP or Krita).

Raster Perspective Apply a perspective transformation to bitmap image using the selected path as envelope, without the need to use an external softwar

s.ouchene 19 Dec 22, 2022
A Deep Learning based project for creating line art portraits.

ArtLine The main aim of the project is to create amazing line art portraits. Sounds Intresting,let's get to the pictures!! Model-(Smooth) Model-(Quali

Vijish Madhavan 3.3k Jan 07, 2023
An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi

MetaICL: Learning to Learn In Context This includes an original implementation of "MetaICL: Learning to Learn In Context" by Sewon Min, Mike Lewis, Lu

Meta Research 141 Jan 07, 2023
The object detection pipeline is based on Ultralytics YOLOv5

AYOLOv2 The main goal of this repository is to rewrite the object detection pipeline with a better code structure for better portability and adaptabil

153 Dec 22, 2022
This is an official pytorch implementation of Fast Fourier Convolution.

Fast Fourier Convolution (FFC) for Image Classification This is the official code of Fast Fourier Convolution for image classification on ImageNet. Ma

pkumi 199 Jan 03, 2023
A graph-to-sequence model for one-step retrosynthesis and reaction outcome prediction.

Graph2SMILES A graph-to-sequence model for one-step retrosynthesis and reaction outcome prediction. 1. Environmental setup System requirements Ubuntu:

29 Nov 18, 2022
Density-aware Single Image De-raining using a Multi-stream Dense Network (CVPR 2018)

DID-MDN Density-aware Single Image De-raining using a Multi-stream Dense Network He Zhang, Vishal M. Patel [Paper Link] (CVPR'18) We present a novel d

He Zhang 224 Dec 12, 2022
This repository provides an efficient PyTorch-based library for training deep models.

s3sec Test AWS S3 buckets for read/write/delete access This tool was developed to quickly test a list of s3 buckets for public read, write and delete

Bytedance Inc. 123 Jan 05, 2023
Computer Vision application in the web

Computer Vision application in the web Preview Usage Clone this repo git clone https://github.com/amineHY/WebApp-Computer-Vision-streamlit.git cd Web

Amine Hadj-Youcef. PhD 35 Dec 06, 2022
Instance-based label smoothing for improving deep neural networks generalization and calibration

Instance-based Label Smoothing for Neural Networks Pytorch Implementation of the algorithm. This repository includes a new proposed method for instanc

Mohamed Maher 1 Aug 13, 2022
An SMPC companion library for Syft

SyMPC A library that extends PySyft with SMPC support SyMPC /ˈsɪmpəθi/ is a library which extends PySyft ≥0.3 with SMPC support. It allows computing o

Arturo Marquez Flores 0 Oct 13, 2021
SpinalNet: Deep Neural Network with Gradual Input

SpinalNet: Deep Neural Network with Gradual Input This repository contains scripts for training different variations of the SpinalNet and its counterp

H M Dipu Kabir 142 Dec 30, 2022
Si Adek Keras is software VR dangerous object detection.

Si Adek Python Keras Sistem Informasi Deteksi Benda Berbahaya Keras Python. Version 1.0 Developed by Ananda Rauf Maududi. Developed date: 24 November

Ananda Rauf 1 Dec 21, 2021