pskcci/DX-01
Nov 2024 – Nov 2024
1 Month active
Languages Used
MarkdownPython
Technical Skills
Array ManipulationData ManipulationData ScienceData VisualizationDeep LearningDocumentation
cheolwoo
PROFILE
Cheolwoo
In November 2024, idmstpsk7 developed foundational computer vision and machine learning features for the DX-01 repository, focusing on reproducibility and onboarding. They created documentation scaffolding and updated participant information to improve clarity across homework projects. Using Python, NumPy, and OpenCV, they implemented image processing demonstration scripts, including edge detection and array manipulations, to showcase core computer vision workflows. For machine learning, they built and trained a multilayer perceptron for MNIST digit recognition, covering preprocessing, model saving, and visualization. Code cleanup removed deprecated scripts, reducing maintenance risk and confusion. The work demonstrated depth in documentation, data science, and repository hygiene.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
6
Lines of code
267
Activity Months1
Your Network
1012 people
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 Major fixes included cleaning up documentation accuracy and removing outdated scripts to prevent confusion, resulting in a leaner, more maintainable codebase.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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