DeepLabCut/DeepLabCut
Feb 2025 – Feb 2025
1 Month active
Languages Used
Python
Technical Skills
Deep LearningMachine LearningModel Evaluation
Zelin2001
PROFILE
Zelin2001
Worked on DeepLabCut/DeepLabCut to improve the reliability of post-training evaluation for MA model architectures by updating the evaluation pipeline in Python and YAML. Addressed a recurring error by disabling compute_detection_rmse during evaluation, ensuring the logic correctly handled MA models and reducing the need for reruns in experimental workflows. Additionally, contributed to Ac-Wiki/AcWiKi by authoring a comprehensive documentation page in Markdown that standardizes the bachelor’s thesis process for science programs, integrating it into site navigation for better discoverability. Demonstrated strengths in deep learning, model evaluation, and technical writing, with a focus on maintainability and knowledge management across projects.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
89
Activity Months2
Your Network
43 peopleShared Repositories
43
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025Month: 2025-08 — Delivered a new Bachelor's theses process documentation page in Ac-Wiki/AcWiKi with navigation integration. This work standardizes guidance for science program workflows (topic selection through defense) and improves onboarding and knowledge reuse.
1 Commits • 1 Features
Aug 1, 2025Month: 2025-08 — Delivered a new Bachelor's theses process documentation page in Ac-Wiki/AcWiKi with navigation integration. This work standardizes guidance for science program workflows (topic selection through defense) and improves onboarding and knowledge reuse.
August 2025
February 2025
1 Commits
Feb 1, 2025February 2025 (2025-02) — Focused on reliability improvements in the evaluation pipeline for MA models within DeepLabCut/DeepLabCut. Delivered a bug fix that prevents post-training evaluation errors by setting compute_detection_rmse to False and ensuring the evaluation logic properly handles MA architectures. This stabilizes post-training assessments, reducing reruns and accelerating experiment iteration. Key commit: d7d55e2461aef208ec1072463c11d43897c29eac; related to issue #2872 and supplemental to commit 40465e1.
February 2025
1 Commits
Feb 1, 2025February 2025 (2025-02) — Focused on reliability improvements in the evaluation pipeline for MA models within DeepLabCut/DeepLabCut. Delivered a bug fix that prevents post-training evaluation errors by setting compute_detection_rmse to False and ensuring the evaluation logic properly handles MA architectures. This stabilizes post-training assessments, reducing reruns and accelerating experiment iteration. Key commit: d7d55e2461aef208ec1072463c11d43897c29eac; related to issue #2872 and supplemental to commit 40465e1.
Activity
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Quality Metrics
Correctness90.0%
Maintainability100.0%
Architecture90.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonYAML
Technical Skills
Deep LearningDocumentationMachine LearningModel EvaluationTechnical Writing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
Ac-Wiki/AcWiKi
Aug 2025 – Aug 2025
1 Month active
Languages Used
MarkdownYAML
Technical Skills
DocumentationTechnical Writing