https://github.com/ckexun

Work.

Stray_Animal_Adoption_Platform

🐾A smart stray animal adoption platform. Integrating LINE BOT and web technologies, powered by YOLO image recognition, RAG-enhanced LLM description generation, and map visualization. Users can report stray animals, search shelters, and explore adoption matches. The dataset combines the Oxford-IIIT Pet Dataset with our self-collected images.

We propose a deep neural network model named TTNet based on a multi-task learning design, which achieved excellent performance on both the public and private datasets of the competition.

Taiwan_Housing_Rent_Dashboard

Combining static web scraping and API access to collect housing information from Rakuya and the Ministry of the Interior's Real Estate Actual Price Registration Service

YZU_RA_Statistic

Automatically complete the analysis tasks for YZU RA

Predicting_SNARE_proteins_based_on_deep_learning_models

This project applies deep learning to predict SNARE proteins using 3,406 sequences. Features include AAC, DPC, PSSM, and one-hot encoding. Compared k-NN, SVM, CNN, and MCNN, with CNN/MCNN achieving the best performance. A web interface is provided for user-friendly prediction.

Successfully solved all preliminary tasks and advanced to the final round.

automate-generated 動漫瘋 anime data API

Assembly_Language

Use the RISC-V instruction set simulator RARS to develop and execute assembly code

Big_Data_Science

Learn the processes of data handling and analysis, including data collection, cleaning, management, exploratory analysis, statistics, and visualization.

Jupyter Notebook 0 0

Competitive_Programming

Computer_Programming_I

Learn the basic elements of procedural-based C++ programming.

Computer_Programming_II

Learning C++ by covering Classes, Operator Overloading, Templates, Linked Lists, Iterators, and Object-Oriented Programming concepts like Inheritance and Polymorphism. It also includes Exception Handling, an ATM Case Study on Object-Oriented Design, and fundamental data structures such as Stacks and Queues

CSharp_Windows_Programming

Learning message handling, mouse and keyboard, file I/O, control, dialog boxes, toolbars and status bars, bitmap and so on

Data_Structures

Learn the core concepts of data structures and algorithms, covering fundamentals, hashing, trees and red-black trees, sorting, graph algorithms, and KMP string matching.

Digital_Systems_Lab_II

Learn how to use a hardware description language such as VHDL and Verilog to design a digital circuit and learn to use computer-aided design tools to implement a circuit.

FPGA_Digital_Clock

A digital clock system implemented on FPGA using Verilog, featuring real-time display, timer, countdown, and marquee functions.

Generative AI: Principles and Practices of Text and Image Generation. This course project covers core techniques including Neural Networks, GANs, Transformers, Large Language Models, RAG, AI Agents, and Diffusion Models, while applying tools such as OpenAI API, LangChain, HuggingFace, and AutoGen to build diverse generative AI applications.

Jupyter Notebook 0 0

Intelligent_Technology_Applications

Learning Python syntax, machine learning concepts, data preprocessing with Scikit-Learn, multiple linear regression, logistic regression, k-nearest neighbors, decision trees, k-means clustering analysis, and so on

Jupyter Notebook 0 0

Java_programming

Learning Java's flow control, classes and objects, garbage collection, "this" reference, inheritance, interfaces, exceptions, virtual machines, and applications such as Java GUI programming

Natural_Language_Processing_NLP

This repository contains my learning and practice materials for Natural Language Processing (NLP). It covers fundamental concepts, hands-on exercises, and advanced applications in NLP, including text preprocessing, word embeddings, language models, and deep learning techniques for NLP tasks.

Jupyter Notebook 0 0

Audit the TAICA program's satellite course: Robotic Navigation and Exploration.

Code collection from completed NVIDIA Deep Learning Institute (DLI) courses and assessments. Includes hands-on exercises, projects, and test solutions showcasing applied deep learning skills.

Jupyter Notebook 0 0

Web_Programming

HTML, CSS Design, JavaScript programming

YZU_Course_Robot

Forks.

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Open-Platform-Software

Blog.