dsu-cs/csc702_fall2025
Sep 2025 – Jan 2026
3 Months active
Languages Used
HTMLMarkdownPythonUnknownplaintext
Technical Skills
Content AdditionData AnalysisData PreprocessingDeep LearningDocumentationFile I/O
Tanner-ui
PROFILE
Tanner-ui
Tanner Allen developed a suite of AI-driven features for the dsu-cs/csc702_fall2025 repository, focusing on natural language processing, deep learning, and generative content for Dungeons & Dragons applications. He implemented sequence-to-sequence translation models, retrieval-augmented generation for rulebook queries, and GAN-based map generation, leveraging Python, PyTorch, and Scikit-learn. His work included hyperparameter optimization with Optuna, neural networks with attention mechanisms, and Stable Diffusion-powered item generation. Tanner emphasized reproducible workflows, comprehensive documentation, and maintainable code structure, delivering end-to-end solutions that integrated audio processing, data visualization, and creative content pipelines to enhance both technical robustness and user experience.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
29Total
Bugs
0
Commits
29
Features
11
Lines of code
88,738
Activity Months3
Your Network
25 peopleSame Organization
@trojans.dsu.edu5
Shared Repositories
20
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Work History
January 2026
7 Commits • 3 Features
Jan 1, 20262026-01 Monthly Summary: Delivered key gameplay-generation features and a new interactive DM system, supported by improved documentation and dataset setup. Focused on business value through scalable item generation, immersive storytelling, and clear onboarding. No major bugs reported in this period; ongoing maintenance performed via repository discipline.
7 Commits • 3 Features
Jan 1, 20262026-01 Monthly Summary: Delivered key gameplay-generation features and a new interactive DM system, supported by improved documentation and dataset setup. Focused on business value through scalable item generation, immersive storytelling, and clear onboarding. No major bugs reported in this period; ongoing maintenance performed via repository discipline.
January 2026
December 2025
6 Commits • 3 Features
Dec 1, 2025Month: 2025-12 | Repository: dsu-cs/csc702_fall2025. Focused on delivering end-to-end AI-enabled features in the DnD domain, with emphasis on performance visibility, retrieval-augmented content, and generative map tooling. This month delivered three major features with thorough documentation and traceability through commit history. No explicit bug fixes were recorded in the provided data.
December 2025
6 Commits • 3 Features
Dec 1, 2025Month: 2025-12 | Repository: dsu-cs/csc702_fall2025. Focused on delivering end-to-end AI-enabled features in the DnD domain, with emphasis on performance visibility, retrieval-augmented content, and generative map tooling. This month delivered three major features with thorough documentation and traceability through commit history. No explicit bug fixes were recorded in the provided data.
September 2025
16 Commits • 5 Features
Sep 1, 2025September 2025 performance summary for dsu-cs/csc702_fall2025: Delivered a cohesive set of end-to-end NLP/ML features and project scaffolding, driving model optimization, translation capabilities, text analytics tooling, and reproducible workflows. The work emphasizes business value through improved model performance, expressive modeling options, and maintainable experimentation pipelines.
16 Commits • 5 Features
Sep 1, 2025September 2025 performance summary for dsu-cs/csc702_fall2025: Delivered a cohesive set of end-to-end NLP/ML features and project scaffolding, driving model optimization, translation capabilities, text analytics tooling, and reproducible workflows. The work emphasizes business value through improved model performance, expressive modeling options, and maintainable experimentation pipelines.
September 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability87.6%
Architecture85.8%
Performance83.8%
AI Usage42.0%
Skills & Technologies
Programming Languages
HTMLMarkdownPythonUnknownplaintext
Technical Skills
AI DevelopmentAI IntegrationAI/MLAudio ProcessingContent AdditionData AnalysisData PreprocessingData ProcessingData VisualizationDeep LearningDocumentationDungeons and Dragons mechanicsFile I/OGANsGame Development
Repositories Contributed To
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