arvindkrishna87/STAT390_SP25_CMIL
Apr 2025 – May 2025
2 Months active
Languages Used
Jupyter NotebookPythonMarkdownPDF
Technical Skills
Computer VisionData PreprocessingDeep LearningImage AnalysisMachine LearningMultiple Instance Learning
Hannah Zhao
PROFILE
Hannah Zhao
Hannah Zhao developed a Multiple Instance Learning (MIL) workflow for histology image analysis in the arvindkrishna87/STAT390_SP25_CMIL repository, focusing on H&E stained samples. She implemented a MIL-based patch analysis pipeline using PyTorch and integrated a DenseNet backbone to improve model performance. Her work included designing data loading with padding-based transforms to preserve image context, addressing class imbalance, and refining the training loop. Hannah also reorganized the project structure for maintainability, enhanced documentation, and prepared presentation materials. Using Python and Jupyter Notebook, she demonstrated depth in computer vision, deep learning, and data preprocessing throughout the two-month development period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
24Total
Bugs
0
Commits
24
Features
12
Lines of code
39,607
Activity Months2
Your Network
79 people
Work History
May 2025
23 Commits • 11 Features
May 1, 2025Concise monthly summary for May 2025 focusing on business value and technical achievements for arvindkrishna87/STAT390_SP25_CMIL. The month included major repository and workflow improvements, MIL experimentation with a pretrained DenseNet backbone, and comprehensive updates to documentation and presentation materials to support stakeholder communication and future model evaluation.
23 Commits • 11 Features
May 1, 2025Concise monthly summary for May 2025 focusing on business value and technical achievements for arvindkrishna87/STAT390_SP25_CMIL. The month included major repository and workflow improvements, MIL experimentation with a pretrained DenseNet backbone, and comprehensive updates to documentation and presentation materials to support stakeholder communication and future model evaluation.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 performance snapshot for repository arvindkrishna87/STAT390_SP25_CMIL. Focused on implementing a MIL-based patch analysis workflow for histology (H&E) images and validating its training pipeline.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 performance snapshot for repository arvindkrishna87/STAT390_SP25_CMIL. Focused on implementing a MIL-based patch analysis workflow for histology (H&E) images and validating its training pipeline.
Activity
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Quality Metrics
Correctness69.2%
Maintainability69.2%
Architecture76.0%
Performance64.2%
AI Usage24.2%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPDFPython
Technical Skills
Code OrganizationComputer VisionData AnalysisData EncodingData PreprocessingData ScienceData VisualizationDeep LearningDenseNetDocumentationFile ManagementImage AnalysisJupyter NotebookMachine LearningModel Improvement
Repositories Contributed To
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