libsdl-org/opus
Mar 2025 – Sep 2025
4 Months active
Languages Used
CMakefilePythonMarkdownShell
Technical Skills
Audio CodecsAudio Signal ProcessingBuild SystemsC ProgrammingDeep LearningEmbedded Systems
Jan Buethe
PROFILE
Jan Buethe
Worked on the libsdl-org/opus repository, delivering features and improvements across audio processing, model training, and build systems. Developed and integrated soft quantization for RDOVAE and FARGAN models, and implemented the BBWENet model in C for blind bandwidth extension. Enhanced API consistency by refactoring conv1d layer exports and introduced deprecation paths to streamline maintainability. Improved build robustness for non-AVX environments and expanded testing workflows using Python scripting. Advanced model training flexibility with configurable parameters and hash-based data integrity measures, supporting reproducible experimentation. Leveraged C, Python, and shell scripting to address deployment, documentation, and model management challenges throughout the project.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
8Total
Bugs
2
Commits
8
Features
4
Lines of code
1,603
Activity Months4
Your Network
28 peopleShared Repositories
28
flowerMember
Brad SmithMember
Daniel DanzbergerMember
DoumanMember
Ralph GilesMember
Kriskras99Member
Nikita KogutMember
Jan BuetheMember
Jan BuetheMember
Work History
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for libsdl-org/opus focused on expanding training flexibility, deployment/versioning improvements, and tooling enhancements to support reproducibility and faster experimentation. The team delivered a configurable training workflow, updated model deployment to a quantized BBWENet v2, and introduced hash-based data integrity measures and configurable architecture parameters to enable flexible experimentation across environments.
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for libsdl-org/opus focused on expanding training flexibility, deployment/versioning improvements, and tooling enhancements to support reproducibility and faster experimentation. The team delivered a configurable training workflow, updated model deployment to a quantized BBWENet v2, and introduced hash-based data integrity measures and configurable architecture parameters to enable flexible experimentation across environments.
September 2025
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025: Delivered cross-environment build robustness and enhanced testing workflow for the opus repository, driving reliability, portability, and testing efficiency.
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025: Delivered cross-environment build robustness and enhanced testing workflow for the opus repository, driving reliability, portability, and testing efficiency.
April 2025
1 Commits
Apr 1, 2025April 2025 monthly summary for libsdl-org/opus: API cleanup to remove _DELAY from conv1d layer export, aligning with conv layer properties. No functional changes; this reduces downstream confusion and improves maintainability.
1 Commits
Apr 1, 2025April 2025 monthly summary for libsdl-org/opus: API cleanup to remove _DELAY from conv1d layer export, aligning with conv layer properties. No functional changes; this reduces downstream confusion and improves maintainability.
April 2025
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for libsdl-org/opus focusing on feature delivery, build integration, and technical improvements that drive audio quality and training efficiency.
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for libsdl-org/opus focusing on feature delivery, build integration, and technical improvements that drive audio quality and training efficiency.
Activity
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Quality Metrics
Correctness88.8%
Maintainability90.0%
Architecture88.8%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CMakefileMarkdownPythonShell
Technical Skills
Audio CodecsAudio ProcessingAudio Signal ProcessingBuild SystemsC ProgrammingCode RefactoringConditional CompilationDeep LearningDeprecationDocumentationEmbedded SystemsInferenceMachine LearningModel ExportModel Management
Repositories Contributed To
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