EvolvingLMMs-Lab/lmms-eval
Dec 2025 – Dec 2025
1 Month active
Languages Used
Python
Technical Skills
API integrationasynchronous programmingaudio processingdata normalization
Igor Djuric
PROFILE
Igor Djuric
In December 2025, Ivan Djurić developed a WhisperTT audio transcription feature for the lmms-eval repository, focusing on enabling dataset-agnostic transcription and robust text normalization for English and Chinese. He implemented the solution using Python, leveraging asynchronous programming and API integration to deliver an HTTP API client that streamlines audio processing workflows. This approach expanded the repository’s compatibility with diverse datasets and facilitated faster integration of new models. Ivan also enhanced normalization utilities to improve transcription quality and downstream evaluation. The work demonstrated depth in both technical execution and workflow design, resulting in a more flexible and extensible evaluation pipeline.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
468
Activity Months1
Your Network
379 people
Work History
December 2025
1 Commits • 1 Features
Dec 1, 2025Concise monthly summary for Dec 2025: Delivered a new WhisperTT Audio Transcription feature via an HTTP API client in the lmms-eval repository, enabling dataset-agnostic audio transcription and improved text normalization for English and Chinese. This feature expands compatibility with diverse datasets and strengthens the evaluation pipeline, supporting faster integration of new models and data sources.
1 Commits • 1 Features
Dec 1, 2025Concise monthly summary for Dec 2025: Delivered a new WhisperTT Audio Transcription feature via an HTTP API client in the lmms-eval repository, enabling dataset-agnostic audio transcription and improved text normalization for English and Chinese. This feature expands compatibility with diverse datasets and strengthens the evaluation pipeline, supporting faster integration of new models and data sources.
December 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API integrationasynchronous programmingaudio processingdata normalization
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