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Gyue2

PROFILE

Gyue2

Developed core machine learning and computer vision features for the pskcci/DX-01 repository, focusing on educational tooling and real-time demo applications. Delivered a consolidated ML coursework suite with NumPy-based data manipulation, image processing, and neural network models including Perceptron, CNN, and RNN for stock forecasting. Established documentation scaffolding to support classroom onboarding and reproducibility. Built OpenVINO-powered motion recognition and U2NET-based background removal apps enabling gesture-driven user experiences and frame capture. Integrated Python-driven hardware demos for LED control and factory motion detection, emphasizing modular code and maintainable architecture. Prioritized reliability, clear documentation, and scalable solutions across both software and hardware domains.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

12Total
Bugs
0
Commits
12
Features
4
Lines of code
4,650
Activity Months2

Work History

December 2024

5 Commits • 2 Features

Dec 1, 2024

Month 2024-12: Delivered CV-driven features and hardware-in-loop demos in pskcci/DX-01, focusing on real-time gesture-based UX and end-to-end demo capability. Key outcomes include an OpenVINO-based motion recognition app with gesture-triggered background changes and U2NET-based background removal with frame capture/review, plus Class02 homework scripts for LED control and factory motion-detection simulation. These efforts enable interactive demos, faster validation, and a path toward reusable components across CV and hardware integrations.

November 2024

7 Commits • 2 Features

Nov 1, 2024

2024-11 monthly performance for pskcci/DX-01 focused on delivering core ML coursework tooling and foundational documentation to support classroom usage and onboarding. Key features include a consolidated ML Coursework Suite featuring NumPy data manipulation scripts, image processing, and multiple neural network models (Perceptron, ANN, CNNs) plus an RNN-based stock price forecasting component. Documentation scaffolding was established for class packages and mini-projects, including placeholder READMEs and updated participant lists. No critical bugs were reported; the work emphasizes reliability, reproducibility, and scalable educational tooling.

Activity

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Quality Metrics

Correctness88.4%
Maintainability86.6%
Architecture87.6%
Performance81.8%
AI Usage32.4%

Skills & Technologies

Programming Languages

MarkdownPython

Technical Skills

Argument ParsingArtificial Neural NetworksBackground RemovalCNNComputer VisionData ScienceData VisualizationDeep LearningDocumentationFactory AutomationGRUKerasLSTMMachine LearningMatplotlib

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

pskcci/DX-01

Nov 2024 Dec 2024
2 Months active

Languages Used

MarkdownPython

Technical Skills

Artificial Neural NetworksCNNComputer VisionData ScienceData VisualizationDeep Learning