Discover @Yunyung Open Source projects

Yung (@Yunyung)

Yunyung

Stars
119
Global Rank 183,143 (Top 7 %)
Followers 16
Following 9
Registered about 7 years ago
Most used languages

Python
29.4 %

Jupyter Notebook
17.6 %

C++
14.7 %

C
14.7 %

Java
8.8 %

HTML
5.9 %

JavaScript
5.9 %

Cuda 2.9 %
Location 🇹🇼 Taiwan
Country Total Rank 1,194
Country Ranking

Cuda 29

Jupyter Notebook
72

C
221

Java
298

C++
436

Python
824

HTML
924

JavaScript
2,053

Automatic-Panoramic-Image-Stitching

Automatic Panoramic Image Stitching using SIFT detector and descriptor, RANSAC algorithm for best-fit homograpy, linear blending

Jupyter Notebook

Cryptography-AES-implement-in-C

Implement AES(Advanced Encryption Standard) Stystem in C program

Software-Testing-NYCU-2021

IOC5167, Software Testing course in NYCU (Spring 2021)

Global-Wheat-Detection-Competition

Kaggle competition - global wheat detection.

Jupyter Notebook

Instance-Segmentation-on-Tiny-PASCAL-VOC-Dataset

In this instance segmentation task, we use Detectron2, developed by Facebook AI Research, to conquer this task. And adopt Mask R-CNN as our main model architecture

Parallel-Programming-NYCU

IOC5181, Parallel Programming @ NYCU, Fall 2021

OpenGL-Shader

OpenGL. Implement Phong Shading, dissolve effect, and ramp effect by Shader(GPU).

Bayesian-Matting-implementation

實作 "A Bayesian Approach to Digial Matting" Paper中的Bayesian Matting進行圖片的前後景分割，將前景合成到另一張圖上。專案使用到cv2.Diliation、Gaussian Mixture Model、Bayesian Approach等方法來達成前景、後景分割。

Hybrid-image

The Project constructing hybrid images in python, using Discrete Fourier Transform and low/high pass filter to two different images.

Jupyter Notebook

Cryptography-RSA-implement-in-C

RSA 加密C實作

Implement-the-book-about-deep-learning

學習 “deep learning 用python進行深度學習的基礎理論實作“ 斎藤康毅

Deep-learning-projects-with-Pytorch

Playing some deep learning projects with Pytorch

Jupyter Notebook

BayesianClassifier-NaiveBayesClassifier-linearClassifier-ImplementationFromScratch

Python-Implement BayesianClassifier, NaiveBayesClassifier, linearClassifier and evalution method (confusion matrix, ROC curve, AUC) without calling Library

Yunyung.github.io

My Personal CV website

Arduino-Internet-of-Vehicle

使用超音波模組、紅外線循跡模組、PS2搖桿操縱自走車、藍芽串聯多台自走車行駛、實現自動尋路(自動避障)功能等。

0856167

The repository is built for lab3(Continuous Integration) of Software-Testing-NYCU-2021

Pytorch-DCGAN-GAN-WAN-

Pytorch implement DCGAN (Deep Convolutional Generative Adversarial Network)、GAN(Generative Adversarial Network)、WGAN(Wasserstein GAN)

Yunyung

web_develop

大學網頁開發練習以電影院電影為例

3rd-ML100Days

機器學習百日實作課程

Jupyter Notebook

Cryptography-in-C

各種經典加密演算法

CameraCalibration-FromScratch

Practice how to implement camera calibration from scratch without use cv.calibration()

IoT-Raspberry-Pi

使用網頁介面與手機APP以遠端按鈕操控或語音控制來操作各種物聯網裝置。

EDSR-Super-Resolution

Image super resolution. TensorFlow version of the EDSR model in 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017). CS_T0828, Selected Topics in Visual Recognition using Deep Learning, NCTU.

auto-book-ncue-sport-venue

Python實作國立彰化師範大學自動搶體育場場地

CUDA-GPU-Image-Processing

使用Cuda GPU 加速將圖片處理加速，達成圖片銳利化、模糊化處理，範例圖片為 lena.bmp 解析度->512 X 512

Image-Pyramid

Implementation of Image-Pyramid, including Gaussian Pyramid and Laplacian Pyramid, from scratch in python

Jupyter Notebook

algorithm

Computer-Graphics-OpenGL-HW

st_nycu_lab4_0856167

The repository is built for lab4(CI/CD with Github Action) of Software-Testing-NYCU-2021

LeetCode

Full-Stack-Web-Development-Courses

Web Development Practice - Full Stack Web Development Courses Online

OpenCV-project

Cryptography-DES-implement-in-C

Cryptography- implementation of Data Encryption Standard(DES) in C

CarClassifier

CS_T0828, Selected Topics in Visual Recognition using Deep Learning, NCTU. Kaggle competition - image classification for car images

Object-Detector-on-SVHN-Datasets

In this project, we use mmdetection, an open source object detection toolbox based on PyTorch, to train our object detector to detect digit in SVHN dataset

Characteristic-preserving-Latent-Space-for-Unpaired-Cross-domain-Translation-of-3D-Point-Clouds

"Characteristic-preserving Latent Space for Unpaired Cross-domain Translation of 3D Point Clouds," accepted to appear in IEEE Transactions on Visualization and Computer Graphics, 2023.