MonashDeepNeuron/Neural-Cellular-Automata
Feb 2025 – Feb 2025
1 Month active
Languages Used
CSSHTMLJavaScriptTypeScriptYAML
Technical Skills
Content WritingDocumentationFront End DevelopmentFront-end DevelopmentJavaScriptNext.js
Joshua-Riantoputra
PROFILE
Joshua-riantoputra
During February 2025, Jia Rui An contributed to the MonashDeepNeuron/Neural-Cellular-Automata repository by enhancing both the research content and user interface. They expanded the research section with detailed explanations and references to DyNCA and Med-NCA papers, improving clarity for future research. On the technical side, Jia introduced randomness into the Neural Cellular Automata seed generation, replacing deterministic step counts to foster richer emergent behavior in simulations. Additionally, they refined the UI by updating the global font to Poppins and adjusting layout constraints. Their work demonstrated depth in front-end development using React, TypeScript, and Tailwind CSS, with a focus on maintainability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
79
Activity Months1
Your Network
124 peopleSame Organization
@student.monash.edu116
Work History
February 2025
4 Commits • 3 Features
Feb 1, 2025February 2025 performance summary for MonashDeepNeuron/Neural-Cellular-Automata focused on delivering core enhancements to research clarity, introducing variability in simulations, and improving UI presentation. No major bugs were reported fixed this month; emphasis was on feature delivery and code/documentation quality to support future research and user experience.
4 Commits • 3 Features
Feb 1, 2025February 2025 performance summary for MonashDeepNeuron/Neural-Cellular-Automata focused on delivering core enhancements to research clarity, introducing variability in simulations, and improving UI presentation. No major bugs were reported fixed this month; emphasis was on feature delivery and code/documentation quality to support future research and user experience.
February 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability95.0%
Architecture85.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptTypeScriptYAML
Technical Skills
Content WritingDocumentationFront End DevelopmentFront-end DevelopmentJavaScriptNext.jsReactTailwind CSSTypeScriptWeb Development
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