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
Worked on the MonashDeepNeuron/Neural-Cellular-Automata repository to enhance research clarity and user experience by delivering three core features over one month. Focused on improving the research section, the developer integrated detailed explanations and references for DyNCA and Med-NCA papers, supporting future research efforts. Introduced randomness into Neural Cellular Automata seed generation, replacing deterministic step counts to foster richer emergent behavior in simulations. Additionally, refined the user interface by updating global typography to Poppins and adjusting layout constraints for better visual presentation. Utilized JavaScript, TypeScript, and React, with an emphasis on content writing, documentation, and front-end development best practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
79
Activity Months1
Your Network
126 peopleSame Organization
@student.monash.edu118
Shared Repositories
8
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
Repositories Contributed To
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