OpenHUTB/nn
Sep 2025 – Dec 2025
4 Months active
Languages Used
PythonXML
Technical Skills
Autonomous DrivingDeep LearningReinforcement LearningComputer VisionPyTorchSelf-Driving Cars
Pan-j-l
PROFILE
Pan-j-l
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
25Total
Bugs
0
Commits
25
Features
10
Lines of code
5,100
Activity Months4
Your Network
159 people
Work History
December 2025
15 Commits • 5 Features
Dec 1, 2025December 2025 performance summary for OpenHUTB/nn: Delivered substantial improvements across autonomous navigation, environment realism, ROS integration, and data visualization. The work focused on increasing navigation robustness, testability, and business value by enhancing perception, decision-making, and simulation fidelity.
15 Commits • 5 Features
Dec 1, 2025December 2025 performance summary for OpenHUTB/nn: Delivered substantial improvements across autonomous navigation, environment realism, ROS integration, and data visualization. The work focused on increasing navigation robustness, testability, and business value by enhancing perception, decision-making, and simulation fidelity.
December 2025
November 2025
8 Commits • 3 Features
Nov 1, 2025For 2025-11, OpenHUTB/nn delivered three core features for autonomous driving RL and game AI, advanced simulation stability, and comprehensive documentation. The work improved the reliability of CARLA-based experiments, accelerated RL iteration cycles, and enhanced onboarding through clear, maintainable code and commentary. Demonstrated proficiency in Python, reinforcement learning (DQN/PPO), multi-modal perception, and environment design, with collaborative code contributions across several commits.
November 2025
8 Commits • 3 Features
Nov 1, 2025For 2025-11, OpenHUTB/nn delivered three core features for autonomous driving RL and game AI, advanced simulation stability, and comprehensive documentation. The work improved the reliability of CARLA-based experiments, accelerated RL iteration cycles, and enhanced onboarding through clear, maintainable code and commentary. Demonstrated proficiency in Python, reinforcement learning (DQN/PPO), multi-modal perception, and environment design, with collaborative code contributions across several commits.
October 2025
1 Commits • 1 Features
Oct 1, 2025Concise monthly summary for 2025-10 highlighting business value and technical delivery for the OpenHUTB/nn project.
1 Commits • 1 Features
Oct 1, 2025Concise monthly summary for 2025-10 highlighting business value and technical delivery for the OpenHUTB/nn project.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — Key feature: Autonomous Car Navigation Foundation (DQN + PPO) implemented in OpenHUTB/nn. Delivered foundational RL-based navigation capabilities and added a README documenting setup and scope. This work lays the groundwork for simulation-based testing and future deployment, enabling rapid iteration and integration with sensor models.
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — Key feature: Autonomous Car Navigation Foundation (DQN + PPO) implemented in OpenHUTB/nn. Delivered foundational RL-based navigation capabilities and added a README documenting setup and scope. This work lays the groundwork for simulation-based testing and future deployment, enabling rapid iteration and integration with sensor models.
Activity
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Quality Metrics
Correctness84.0%
Maintainability83.2%
Architecture82.4%
Performance81.6%
AI Usage49.6%
Skills & Technologies
Programming Languages
PythonXML
Technical Skills
3D VisualizationAI developmentAutonomous DrivingAutonomous VehiclesCARLACMakeClass-based DesignComputer VisionData ProcessingDeep LearningMachine LearningOpenAI GymPyTorchPythonPython Development
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