IBM/terratorch
Nov 2024 – Dec 2024
2 Months active
Languages Used
PythonShellYAML
Technical Skills
Batch processingComputer VisionDeep LearningDistributed computingMachine LearningMachine learning
Takao Moriyama
PROFILE
Takao Moriyama
Worked on IBM/terratorch to deliver scalable model training and object detection workflows, focusing on distributed computing and deep learning. Developed Slurm-based batch training scripts for the Sen1Floods11 dataset, enabling multi-node, multi-GPU training and standardized experiment setup for reproducibility. Built a foundational object detection task framework with modular configuration files and model factories, supporting evaluation across architectures and metrics. Enhanced the object detection workflow by refactoring configuration management, introducing AdamW optimizer support in YAML, and improving parameter freezing logic. Used Python, PyTorch, and Shell scripting to streamline training stability, efficiency, and maintainability, resulting in faster iteration and clearer configuration separation.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
3
Lines of code
827
Activity Months2
Your Network
69 peopleShared Repositories
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Work History
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024: Delivered key improvements to IBM/terratorch's Object Detection workflow, including a configuration refactor, optimizer tuning (AdamW in YAML), a wrapper bug fix, and parameter freezing enhancements. These changes improve training stability, efficiency, and model correctness, enabling faster iteration and clearer configuration management.
3 Commits • 1 Features
Dec 1, 2024December 2024: Delivered key improvements to IBM/terratorch's Object Detection workflow, including a configuration refactor, optimizer tuning (AdamW in YAML), a wrapper bug fix, and parameter freezing enhancements. These changes improve training stability, efficiency, and model correctness, enabling faster iteration and clearer configuration management.
December 2024
November 2024
2 Commits • 2 Features
Nov 1, 2024November 2024: Delivered two core capabilities in IBM/terratorch that advance scalable model training and detector workflows: Slurm-based batch training scripts for Sen1Floods11 and a foundational object detection task framework.
November 2024
2 Commits • 2 Features
Nov 1, 2024November 2024: Delivered two core capabilities in IBM/terratorch that advance scalable model training and detector workflows: Slurm-based batch training scripts for Sen1Floods11 and a foundational object detection task framework.
Activity
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Quality Metrics
Correctness96.0%
Maintainability84.0%
Architecture92.0%
Performance84.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
PythonShellYAML
Technical Skills
Batch processingComputer VisionDeep LearningDistributed computingMachine LearningMachine learningModel TrainingObject DetectionPyTorchShell scriptingconfiguration managementmachine learningobject detection
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