pskcci/DX-01
Nov 2024 – Nov 2024
1 Month active
Languages Used
MarkdownPython
Technical Skills
Array ManipulationData ManipulationData ScienceData VisualizationDeep LearningDocumentation
cheolwoo
PROFILE
Cheolwoo
Worked on the DX-01 repository to deliver foundational documentation scaffolding, computer vision demonstration scripts, and machine learning experiments within a one-month period. Developed Python-based image processing workflows using OpenCV and NumPy, including edge detection and array manipulation, and implemented an end-to-end MNIST digit recognition pipeline with a multilayer perceptron, covering preprocessing, training, model saving, and visualization. Enhanced repository hygiene by removing deprecated scripts and standardizing documentation, which improved onboarding and reproducibility. Focused on clear, maintainable code and accurate documentation, leveraging skills in data science, deep learning, and data visualization to support future collaboration and feature development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
6
Lines of code
267
Activity Months1
Your Network
1142 peopleShared Repositories
11
Work History
November 2024
9 Commits • 6 Features
Nov 1, 2024In November 2024, the DX-01 repository delivered foundational documentation scaffolding, CV demos, ML experiments, and repository hygiene improvements, enabling reproducibility, onboarding, and a clear showcase of capabilities. Key features delivered include documentation scaffolding and participant name corrections across class01/class02 homework READMEs, image processing and OpenCV demonstration scripts illustrating Python-based computer vision workflows with NumPy manipulations and edge detection, MNIST digit recognition experiments with a runnable MLP, basic perceptron logic, and visualization, and code cleanup removing deprecated OpenCV/TF homework scripts to reduce maintenance risk. Major fixes included cleaning up documentation accuracy and removing outdated scripts to prevent confusion, resulting in a leaner, more maintainable codebase. Overall impact: improved documentation fidelity, reproducibility of experiments, and a demonstrable CV/ML capability suite, supporting faster onboarding, stakeholder demonstration, and future feature work. Technologies/skills demonstrated include Python, OpenCV, NumPy, ML (MLP, perceptrons), data preprocessing, model saving/visualization, and Git-based collaboration.
9 Commits • 6 Features
Nov 1, 2024In November 2024, the DX-01 repository delivered foundational documentation scaffolding, CV demos, ML experiments, and repository hygiene improvements, enabling reproducibility, onboarding, and a clear showcase of capabilities. Key features delivered include documentation scaffolding and participant name corrections across class01/class02 homework READMEs, image processing and OpenCV demonstration scripts illustrating Python-based computer vision workflows with NumPy manipulations and edge detection, MNIST digit recognition experiments with a runnable MLP, basic perceptron logic, and visualization, and code cleanup removing deprecated OpenCV/TF homework scripts to reduce maintenance risk. Major fixes included cleaning up documentation accuracy and removing outdated scripts to prevent confusion, resulting in a leaner, more maintainable codebase. Overall impact: improved documentation fidelity, reproducibility of experiments, and a demonstrable CV/ML capability suite, supporting faster onboarding, stakeholder demonstration, and future feature work. Technologies/skills demonstrated include Python, OpenCV, NumPy, ML (MLP, perceptrons), data preprocessing, model saving/visualization, and Git-based collaboration.
November 2024
Activity
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Quality Metrics
Correctness91.0%
Maintainability88.8%
Architecture84.4%
Performance82.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Array ManipulationData ManipulationData ScienceData VisualizationDeep LearningDocumentationImage ProcessingKerasLogic GatesMachine LearningMatplotlibNeural NetworksNumPyOpenCVPerceptron
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