ibm-granite/granite-tsfm
Feb 2025 – Mar 2025
2 Months active
Languages Used
CSVJupyter NotebookMarkdownPython
Technical Skills
Code CleanupCode FormattingCode RefactoringCodebase MaintenanceConfiguration ManagementData Analysis
Arindam Jati
PROFILE
Arindam Jati
Arindam Jati enhanced the ibm-granite/granite-tsfm repository by developing and refining data workflows, improving notebook reliability, and streamlining model integration. Over two months, Arindam consolidated onboarding materials, aligned API usage with updated function signatures, and standardized code formatting for clarity and maintainability. Using Python and Jupyter Notebooks, Arindam restructured data handling logic, integrated source code for gift data, and improved reproducibility through deterministic seeding. The work included bug fixes in model output handling and expanded documentation with docstrings and README updates. These contributions strengthened code quality, reduced onboarding friction, and ensured more reliable time series forecasting and deep learning workflows.
Overall Statistics
Feature vs Bugs
64%Features
Repository Contributions
25Total
Bugs
4
Commits
25
Features
7
Lines of code
8,163
Activity Months2
Your Network
848 people
Work History
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025: Delivered the TTM Getting Started Notebook feature for granite-tsfm by consolidating three commits into a cohesive update that aligns API usage with the latest release and get_model function signatures, standardizes keyword argument formatting for improved readability, and updates the get_model() documentation link to the function docstring for clearer guidance. This work reduces onboarding friction and simplifies future maintenance.
3 Commits • 1 Features
Mar 1, 2025March 2025: Delivered the TTM Getting Started Notebook feature for granite-tsfm by consolidating three commits into a cohesive update that aligns API usage with the latest release and get_model function signatures, standardizes keyword argument formatting for improved readability, and updates the get_model() documentation link to the function docstring for clearer guidance. This work reduces onboarding friction and simplifies future maintenance.
March 2025
February 2025
22 Commits • 6 Features
Feb 1, 2025February 2025 performance summary for ibm-granite/granite-tsfm: Delivered data workflow improvements and notebook reliability while boosting code quality and documentation. Gift data processing was streamlined with source code integration and frequency map restructuring; model outputs are more reliable due to fixes in get_model/get_gift_model; notebook experiences improved with argparse compatibility and results exposure; and overall maintainability strengthened by Ruff linting, docstrings, and README updates. Deterministic seeding improvements further enhance experiment reproducibility.
February 2025
22 Commits • 6 Features
Feb 1, 2025February 2025 performance summary for ibm-granite/granite-tsfm: Delivered data workflow improvements and notebook reliability while boosting code quality and documentation. Gift data processing was streamlined with source code integration and frequency map restructuring; model outputs are more reliable due to fixes in get_model/get_gift_model; notebook experiences improved with argparse compatibility and results exposure; and overall maintainability strengthened by Ruff linting, docstrings, and README updates. Deterministic seeding improvements further enhance experiment reproducibility.
Activity
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Quality Metrics
Correctness88.0%
Maintainability88.0%
Architecture87.2%
Performance82.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVJupyter NotebookMarkdownPython
Technical Skills
Code CleanupCode FormattingCode RefactoringCodebase MaintenanceConfiguration ManagementData AnalysisData HandlingData PreprocessingData ScienceDeep LearningDocumentationError HandlingGitGluonTSJupyter Notebooks
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