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

Official Code for "Non-deep Networks"

Non-deep Networks arXiv:2110.07641 Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun Overview: Depth is the hallmark of DNNs. But more depth m

567 Dec 12, 2022

Poplar implementation of "Bundle Adjustment on a Graph Processor" (CVPR 2020)

Poplar Implementation of Bundle Adjustment using Gaussian Belief Propagation on Graphcore's IPU Implementation of CVPR 2020 paper: Bundle Adjustment o

34 Dec 05, 2022

Subgraph Based Learning of Contextual Embedding

SLiCE Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks Dataset details: We use four public benchmark da

27 Dec 01, 2022

Denoising Diffusion Probabilistic Models

Denoising Diffusion Probabilistic Models This repo contains code for DDPM training. Based on Denoising Diffusion Probabilistic Models, Improved Denois

7 Dec 15, 2022

FedML: A Research Library and Benchmark for Federated Machine Learning

FedML: A Research Library and Benchmark for Federated Machine Learning 📄 https://arxiv.org/abs/2007.13518 News 2021-02-01 (Award): #NeurIPS 2020# Fed

2.3k Jan 08, 2023

The official PyTorch code implementation of "Personalized Trajectory Prediction via Distribution Discrimination" in ICCV 2021.

Personalized Trajectory Prediction via Distribution Discrimination (DisDis) The official PyTorch code implementation of "Personalized Trajectory Predi

25 Dec 20, 2022

Implementation of "Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency"

Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency (ICCV2021) Paper Link: https://arxiv.org/abs/2107.11355 This implementation bui

32 Nov 17, 2022

BanditPAM: Almost Linear-Time k-Medoids Clustering

BanditPAM: Almost Linear-Time k-Medoids Clustering This repo contains a high-performance implementation of BanditPAM from BanditPAM: Almost Linear-Tim

254 Dec 12, 2022

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds (CVPR 2020) This is the official implementation of RandLA-Net (CVPR2020, Oral

1k Dec 30, 2022

This package implements THOR: Transformer with Stochastic Experts.

THOR: Transformer with Stochastic Experts This PyTorch package implements Taming Sparsely Activated Transformer with Stochastic Experts. Installation

45 Nov 22, 2022

Intel® Neural Compressor is an open-source Python library running on Intel CPUs and GPUs

Intel® Neural Compressor targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep l

846 Jan 04, 2023

[ICCV'21] Official implementation for the paper Social NCE: Contrastive Learning of Socially-aware Motion Representations

CrowdNav with Social-NCE This is an official implementation for the paper Social NCE: Contrastive Learning of Socially-aware Motion Representations by

125 Dec 23, 2022

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image [Project Page] [Paper] [Supp. Mat.] Table of Contents License Description Fittin

1.3k Jan 07, 2023

Hand Gesture Volume Control | Open CV | Computer Vision

Gesture Volume Control Hand Gesture Volume Control | Open CV | Computer Vision Use gesture control to change the volume of a computer. First we look i

3 Jun 15, 2022

Pre-trained NFNets with 99% of the accuracy of the official paper

NFNet Pytorch Implementation This repo contains pretrained NFNet models F0-F6 with high ImageNet accuracy from the paper High-Performance Large-Scale

133 Dec 09, 2022

Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

567 Dec 26, 2022

Setup freqtrade/freqUI on Heroku

UNMAINTAINED - REPO MOVED TO https://github.com/p-zombie/freqtrade Creating the app git clone https://github.com/joaorafaelm/freqtrade.git && cd freqt

51 Aug 29, 2022

A BaSiC Tool for Background and Shading Correction of Optical Microscopy Images

BaSiC Matlab code accompanying A BaSiC Tool for Background and Shading Correction of Optical Microscopy Images by Tingying Peng, Kurt Thorn, Timm Schr

34 Dec 18, 2022

Open-Ended Commonsense Reasoning (NAACL 2021)

Open-Ended Commonsense Reasoning Quick links: [Paper] | [Video] | [Slides] | [Documentation] This is the repository of the paper, Differentiable Open-

31 Oct 19, 2022

A PyTorch Implementation of Single Shot MultiBox Detector

SSD: Single Shot MultiBox Object Detector, in PyTorch A PyTorch implementation of Single Shot MultiBox Detector from the 2016 paper by Wei Liu, Dragom

4.8k Jan 07, 2023