natmourajr/CPE883-2025-02
Sep 2025 – Sep 2025
1 Month active
Languages Used
DockerfilePythonShell
Technical Skills
C++ DevelopmentComputer VisionConfiguration ManagementData LoadingData PreprocessingData Visualization
gabrielhblisboa
PROFILE
Gabrielhblisboa
Developed the Sonar ML experimentation platform in the natmourajr/CPE883-2025-02 repository, delivering an end-to-end workflow for machine learning experimentation tailored to sonar data. The work established a reproducible pipeline for data loading, preprocessing, and evaluation, supporting new model architectures such as CapsNet and ViT. Leveraging Python, PyTorch, and Docker, the platform enables configurable experiments through versioned configuration files and a Dockerized environment for consistent deployment. Utilities for generating confusion matrices and handling sonar-specific metrics were integrated, while scripting and configuration management ensured clean repository practices and scalability for future model development and rapid experimentation cycles.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
1
Lines of code
3,363
Activity Months1
Your Network
16 peopleSame Organization
@lps.ufrj.br2
Luiza HelenaMember
Rodrigo Petrus DominguesMember
Work History
September 2025
5 Commits • 1 Features
Sep 1, 2025In Sep 2025, delivered the Sonar ML experimentation platform within natmourajr/CPE883-2025-02, establishing a reproducible end-to-end workflow for loading data, training diverse architectures, configuring experiments, and evaluating results with sonar-specific metrics. The month focused on enabling structured experimentation, versioned configurations, and robust evaluation while laying groundwork for scalability and rapid validation of new approaches.
5 Commits • 1 Features
Sep 1, 2025In Sep 2025, delivered the Sonar ML experimentation platform within natmourajr/CPE883-2025-02, establishing a reproducible end-to-end workflow for loading data, training diverse architectures, configuring experiments, and evaluating results with sonar-specific metrics. The month focused on enabling structured experimentation, versioned configurations, and robust evaluation while laying groundwork for scalability and rapid validation of new approaches.
September 2025
Activity
Loading activity data...
Quality Metrics
Correctness82.0%
Maintainability80.0%
Architecture82.0%
Performance64.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
DockerfilePythonShell
Technical Skills
C++ DevelopmentComputer VisionConfiguration ManagementData LoadingData PreprocessingData VisualizationDeep LearningDockerExperimentationJupyterLabMachine LearningModel DeploymentModel DevelopmentPyTorchPython Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline