lanl/Yoke
Jul 2025 – Aug 2025
2 Months active
Languages Used
PythonCSV
Technical Skills
Data AugmentationDeep LearningModel TrainingCode RefactoringData FormattingData Management
ryanw18
PROFILE
Ryanw18
Worked on the lanl/Yoke repository to enhance deep learning model training through targeted data augmentation and code quality improvements. Developed a Gaussian noise injection feature, introducing a noise_scale parameter that applies input-scaled Gaussian noise during LodeRunner training, improving model robustness and experiment reproducibility. Enhanced data management by adding a dedicated noise study dataset and refactored code for greater maintainability, including precise string formatting for numeric parameters and cleanup of legacy code. Leveraged Python and CSV for data handling, focusing on data formatting, string manipulation, and model training workflows. The work emphasized reproducibility, clarity, and maintainable engineering practices throughout development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
40
Activity Months2
Your Network
25 peopleSame Organization
@colostate.edu11
Shared Repositories
14
Andrew Michael ToivonenMember
dschodt-lanlMember
Gal Erez EgoziMember
Kyle HickmannMember
Kyle HickmannMember
Jemma StachelekMember
L281800Member
rworleyMember
Sharmistha ChakrabartiMember
Work History
August 2025
3 Commits • 2 Features
Aug 1, 2025Concise monthly summary for 2025-08 (lanl/Yoke): highlights key feature deliveries, code quality improvements, and the resulting business impact.
3 Commits • 2 Features
Aug 1, 2025Concise monthly summary for 2025-08 (lanl/Yoke): highlights key feature deliveries, code quality improvements, and the resulting business impact.
August 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025Month: 2025-07 — Lanl/Yoke: Implemented Gaussian Noise injection via a noise_scale parameter for LodeRunner training. The noise is scaled by the input's L2 norm and integrated into training input templates and the model forward pass to enable controlled data augmentation and improved robustness. This work enhances training stability and generalization while enabling reproducible experiments. Commit tracked: 147b8b502ed4ad21b0c41821c16439beec6de85d ("adding noise functionality").
July 2025
1 Commits • 1 Features
Jul 1, 2025Month: 2025-07 — Lanl/Yoke: Implemented Gaussian Noise injection via a noise_scale parameter for LodeRunner training. The noise is scaled by the input's L2 norm and integrated into training input templates and the model forward pass to enable controlled data augmentation and improved robustness. This work enhances training stability and generalization while enabling reproducible experiments. Commit tracked: 147b8b502ed4ad21b0c41821c16439beec6de85d ("adding noise functionality").
Activity
Loading activity data...
Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture75.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVPython
Technical Skills
Code RefactoringData AugmentationData FormattingData ManagementData RepresentationDeep LearningModel TrainingString FormattingString Manipulation
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline