brain-score/vision
Nov 2024 – Jun 2025
8 Months active
Languages Used
JSONPythonC++JinjaShell
Technical Skills
API DevelopmentComputer VisionConfiguration ManagementDeep LearningDirectory Structure ManagementMachine Learning
Katherine Fairchild
PROFILE
Katherine Fairchild
Over eight months, K.V. Gupta engineered and expanded the brain-score/vision repository, focusing on neuroscience-inspired computer vision models and robust benchmarking workflows. Gupta developed and integrated a diverse suite of models—including EVNet, ResNet, and VOneNet variants—using Python and PyTorch, with careful attention to model architecture, configuration management, and reproducible evaluation. Their work introduced orchestrated layer mapping, multi-user privacy controls, and streamlined submission pipelines, enabling secure, scalable research contributions. By implementing model registration, remote loading, and behavioral readout utilities, Gupta improved traceability and benchmarking coverage. The depth of engineering addressed both experimental flexibility and rigorous data governance for the platform.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
138Total
Bugs
0
Commits
138
Features
33
Lines of code
59,667
Activity Months8
Your Network
110 people
Work History
June 2025
8 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for brain-score/vision. Delivered EVNet family of neuro-inspired vision models registered in brain-score_vision, implementing RetinaBlock and VOneBlock ahead of a ResNet backbone. Implemented eight model variants across two configuration axes (p1/p2/pm1/pm2) and (457_0/457_1), with explicit model definitions, block configurations, and registrations for benchmarking against brain-score benchmarks. Completed a sequence of commits adding each variant and the initial brain-score submission. No formal bug fixes were required this period; primary focus was feature delivery and benchmarking readiness. Result: broader experimental coverage of biologically motivated vision processing and improved alignment with brain-score benchmarks, laying groundwork for future public submissions and evaluations.
8 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for brain-score/vision. Delivered EVNet family of neuro-inspired vision models registered in brain-score_vision, implementing RetinaBlock and VOneBlock ahead of a ResNet backbone. Implemented eight model variants across two configuration axes (p1/p2/pm1/pm2) and (457_0/457_1), with explicit model definitions, block configurations, and registrations for benchmarking against brain-score benchmarks. Completed a sequence of commits adding each variant and the initial brain-score submission. No formal bug fixes were required this period; primary focus was feature delivery and benchmarking readiness. Result: broader experimental coverage of biologically motivated vision processing and improved alignment with brain-score benchmarks, laying groundwork for future public submissions and evaluations.
June 2025
May 2025
7 Commits • 2 Features
May 1, 2025Concise monthly summary focusing on delivered features, stability, and value.
May 2025
7 Commits • 2 Features
May 1, 2025Concise monthly summary focusing on delivered features, stability, and value.
April 2025
31 Commits • 6 Features
Apr 1, 2025April 2025 (2025-04) monthly summary for brain-score/vision focused on expanding model coverage, streamlining submission workflows, and strengthening benchmarking capabilities. Delivered multiple model registry enhancements, consolidated brain-score.org submissions, and integrated submission capabilities to improve traceability, reproducibility, and collaboration. Key outcomes include broader model coverage with EVResNet and KAP variants, a unified brain-score.org submission workflow, and improved business value through reduced manual overhead and faster benchmarking cycles.
31 Commits • 6 Features
Apr 1, 2025April 2025 (2025-04) monthly summary for brain-score/vision focused on expanding model coverage, streamlining submission workflows, and strengthening benchmarking capabilities. Delivered multiple model registry enhancements, consolidated brain-score.org submissions, and integrated submission capabilities to improve traceability, reproducibility, and collaboration. Key outcomes include broader model coverage with EVResNet and KAP variants, a unified brain-score.org submission workflow, and improved business value through reduced manual overhead and faster benchmarking cycles.
April 2025
March 2025
6 Commits • 5 Features
Mar 1, 2025March 2025 highlights for brain-score/vision: Expanded model zoo with five new integrations, introduced a layer-maps orchestrator to organize region configurations, and strengthened validation to ensure reliable model loading. All new models include definition, layer mappings, preprocessing, and load-time identifier tests; the orchestrator enables scalable configuration management and easier onboarding of future models. This work advances research workflows by improving reproducibility, benchmarking coverage, and deployment readiness.
March 2025
6 Commits • 5 Features
Mar 1, 2025March 2025 highlights for brain-score/vision: Expanded model zoo with five new integrations, introduced a layer-maps orchestrator to organize region configurations, and strengthened validation to ensure reliable model loading. All new models include definition, layer mappings, preprocessing, and load-time identifier tests; the orchestrator enables scalable configuration management and easier onboarding of future models. This work advances research workflows by improving reproducibility, benchmarking coverage, and deployment readiness.
February 2025
8 Commits • 2 Features
Feb 1, 2025February 2025: Expanded brain-score vision capabilities with multi-variant ResNet50 registrations and a blur-augmented model suite, strengthening model evaluation and the submission pipeline. Implemented remote/S3 loading, CPU-friendly configurations, preprocessing, layer mapping, and platform registrations for brain-score.org submissions; added a new loading/preprocessing utility for blur-augmented models. These enhancements broaden registry coverage, improve submission reliability, and enable more comprehensive behavioral readouts and comparisons.
8 Commits • 2 Features
Feb 1, 2025February 2025: Expanded brain-score vision capabilities with multi-variant ResNet50 registrations and a blur-augmented model suite, strengthening model evaluation and the submission pipeline. Implemented remote/S3 loading, CPU-friendly configurations, preprocessing, layer mapping, and platform registrations for brain-score.org submissions; added a new loading/preprocessing utility for blur-augmented models. These enhancements broaden registry coverage, improve submission reliability, and enable more comprehensive behavioral readouts and comparisons.
February 2025
January 2025
22 Commits • 8 Features
Jan 1, 2025January 2025: Expanded Brain-Score submission capabilities, model catalog, and layer-mapping orchestration to accelerate secure data contributions and experimental pipelines across brain-score/vision. Focused on multi-user privacy, pipeline integration, and model registry improvements to support scalable research workflows.
January 2025
22 Commits • 8 Features
Jan 1, 2025January 2025: Expanded Brain-Score submission capabilities, model catalog, and layer-mapping orchestration to accelerate secure data contributions and experimental pipelines across brain-score/vision. Focused on multi-user privacy, pipeline integration, and model registry improvements to support scalable research workflows.
December 2024
41 Commits • 7 Features
Dec 1, 2024December 2024 — Brain-Score Vision: Delivered a comprehensive set of end-to-end improvements to the brain-score.org submission workflow, privacy controls, and data governance, alongside platform scale through model registry expansion. Key work covered two user-specific workflow enhancements (Users 405 and 407), privacy/routing controls, and robust data integrity via audit trails across historical submissions, complemented by improved tracking for recent issues (1581-1584). In parallel, three new models were registered in the model registry (barlow_twins_custom, artResNet18_1, cifar_resnet18_1). These outcomes tighten submission reliability, enhance governance, and broaden platform capabilities for contributors and reviewers, delivering measurable business value and faster time-to-value.
41 Commits • 7 Features
Dec 1, 2024December 2024 — Brain-Score Vision: Delivered a comprehensive set of end-to-end improvements to the brain-score.org submission workflow, privacy controls, and data governance, alongside platform scale through model registry expansion. Key work covered two user-specific workflow enhancements (Users 405 and 407), privacy/routing controls, and robust data integrity via audit trails across historical submissions, complemented by improved tracking for recent issues (1581-1584). In parallel, three new models were registered in the model registry (barlow_twins_custom, artResNet18_1, cifar_resnet18_1). These outcomes tighten submission reliability, enhance governance, and broaden platform capabilities for contributors and reviewers, delivering measurable business value and faster time-to-value.
December 2024
November 2024
15 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary: Focused on standardizing layer mapping for vision models and expanding brain-score evaluation coverage in brain-score/vision. Delivered scalable Layer Mapping Orchestrator scaffolding for AlexNet and multiple ResNet variants, and expanded the ResNet18 model suite to broaden benchmark coverage. Improved submission workflow and metadata handling to support reproducible evaluations. Result: stronger cross-model comparability, faster benchmarking cycles, and clearer business value signals.
November 2024
15 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary: Focused on standardizing layer mapping for vision models and expanding brain-score evaluation coverage in brain-score/vision. Delivered scalable Layer Mapping Orchestrator scaffolding for AlexNet and multiple ResNet variants, and expanded the ResNet18 model suite to broaden benchmark coverage. Improved submission workflow and metadata handling to support reproducible evaluations. Result: stronger cross-model comparability, faster benchmarking cycles, and clearer business value signals.
Activity
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Quality Metrics
Correctness93.8%
Maintainability92.4%
Architecture93.4%
Performance80.0%
AI Usage20.2%
Skills & Technologies
Programming Languages
C++JSONJinjaPythonShell
Technical Skills
API DevelopmentComputer VisionConfiguration ManagementDeep LearningDirectory Structure ManagementMachine LearningModel ArchitectureModel ConfigurationModel ImplementationModel IntegrationModel ManagementModel RegistrationModel SubmissionNeural Network Architecture DesignNeuroscience-inspired AI
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