jayenliao Goto Github PK
Name: Jay Liao
Type: User
Bio: Passionate data scientist interested in using DS, especially machine learning with graphs, to explore different issues.
Location: Taipei, Taiwan
Name: Jay Liao
Type: User
Bio: Passionate data scientist interested in using DS, especially machine learning with graphs, to explore different issues.
Location: Taipei, Taiwan
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
This is the first mid-term project of Statisical Consulting, a course at Department of Statistics and Institue of Data Science, National Cheng Kung University, Taiwan. In this project, we followed Heiberger and Holland (2015) to demonstrate a complete analysis of covariance (ANCOVA) on the dataset hotdog.
This is a tutorial presentation for Data Management, a course in National Cheng Kung University, Taiwan. We demonstrate how instructors can use R shiny to teach fundamental Statistics and basic R techniques, such as data wrangling and data visualization.
This is assignment 5 of Deep Learning, a course at Institute of Data Science, National Cheng Kung University. This project aims to utilize deep learning techniques to perform defect classification for AOI images.
This is assignment 2 of Deep Learning, a course at Institute of Data Science, National Cheng Kung University. This project aims to extract features from images and to construct models to perform image classification.
此為Deep Learning期末專題公開版(因競賽資料不可公開)。本組參加「TBrain AI實戰吧」競賽平上的「玉山人工智慧挑戰賽2021夏季賽」,進行中文手寫影像辨識的任務,並將訓練好的模型部署在RESTful API Server上。比賽目標是預測包含一個文字的影響資料判別,目標類別共801類,分別為800字與1類isnull。
This is an assignment project of Deep Learning, a course at Institute of Data Science, National Cheng Kung University. This project aims to extract features from images and to construct models to perform image classification.
This is assignment 4 of Deep Learning, a course at Institute of Data Science, National Cheng Kung University. This project aims to construct LeNet-related models to perform image classification.
This is assignment 3 of Deep Learning, a course at Institute of Data Science, National Cheng Kung University. This project aims to construct LeNet-related models to perform image classification.
This is assignment 6 of Deep Learning, a course at Institute of Data Science, National Cheng Kung University. This project aims to utilize deep learning techniques to perform object detection. We implement with PyTorch.
This is assignment 7 of Deep Learning, National Cheng Kung University. This project demonstrates the work of participating in Woodscape Semantic Segmentation Challenge 2021, a competition on CodaLab with the user name jay.chiehen. We utilized techniques of computer vision and image processing to perform semantic segmentation for autonomous driving.
This is the tensorflow implementation for CIKM'19 DrBC: A novel graph neural network approach to identify high BC nodes
Early stopping for PyTorch
g0v taiwan legislative yuan voter guide android project
The GDG Taipei about introducing Google Gemma Model.
This is a small side project. The objective is to get the basic information of the book based on the given ISBN.
A small tutorial of introduction deep learning
Introduction to Python's Graph-Tool
Config files for my GitHub profile.
This is a final project presentation for Data Management, a course in National Cheng Kung University, Taiwan. In brief, we analyzed three votes in Kaohsiung in 2018-2020.
This is Jay Liao's workspace for learning with MLOps Zoomcamp 2024 Cohort.
This is the final project of Time Series Analysis, a course at the programme of Data and Business Analytics at Rennes School of Business, France. This study aims to use two types of method to predict NFL players' speed during each play in games, including ARIMA and LSTM.
This is the repo for learning a coursera specialization "NoSQL, Big Data, and Spark Foundations", which contains 3 courses: (1) Introduction to NoSQL Databases, (2) introduction to Big Data with Spark and Hadoop, and (3) Machine Learning with Apache Spark
This is the repo for learning a coursera specialization "Object Oriented Programming (OOP)", which contains 5 courses: (1) Intro to OOP in C++, (2) C++ Programming: Classes and Data, (3) OOP in C++: Functions, (4) Working with Objects in C++, and (5) Use C++ to build a Crypto Trading Platform: Final System.
This project aimed to implement three well-known meta-heuristic algorithms: cuckoo search (CS), bat algorithm (BA), and flower pollination algorithm (FPA). We found that three algorithms could have a promising performance generally. It might need more runs to be converged when training BA. The time cost of BA was the highest while the differences of time cost among three algorithms were not so large, which might not matter when the number of training runs was not large. We also tuned λ in CS and FPA with the findings of the weakness of larger λ values. A demo video of training process is available on YouTube: https://youtu.be/hlKvODBUyeI.
This project aimed to implement three well-known meta-heuristic algorithms: differential evolution (DE), particle swarm optimization (PSO), and firefly algorithm (FA). We set up the numerical experiments to compare 3 algorithms with different numbers of points.
This is a mid-term project of Optimization Methods, a course of Institute of Data Science, National Cheng Kung University. This project aimed to construct the linear regression with L1 regularization and the logistic regression with L1 regularization.
Matrix factorization with Bayesian Personalized Ranking.
In this project, we demonstrate a complete analysis of "oats", a classic dataset with the splitted plot design.
This repository collects assignments of Statistical Consulting, a course at Institute of Data Science, National Cheng Kung University, Taiwan
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.