NVIDIA/torch-harmonics
Jun 2025 – Sep 2025
2 Months active
Languages Used
C++PythonJupyter Notebook
Technical Skills
Code ClarityCode ReadabilityCode RefactoringDistributed ComputingDocumentationPyTorch
apaaris
PROFILE
Apaaris
Worked on the NVIDIA/torch-harmonics repository, focusing on both documentation and educational tooling for spherical harmonics workflows. Over two months, delivered a comprehensive documentation overhaul to improve code clarity, readability, and onboarding, standardizing docstrings and usage notes across Python modules without altering functionality. Developed a reproducible Jupyter Notebook demonstrating partial derivatives of scalar fields on a sphere using Spherical Harmonics Transform and Inverse Vector Spherical Harmonic Transform, validating numerical methods through visualization and accuracy comparisons. Leveraged Python, PyTorch, and scientific computing techniques to create reusable frameworks and enhance maintainability, supporting future development and knowledge sharing within distributed computing environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
15Total
Bugs
0
Commits
15
Features
2
Lines of code
6,941
Activity Months2
Your Network
45 peopleSame Organization
@ethz.ch36
Shared Repositories
9
Work History
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly work summary for NVIDIA/torch-harmonics focusing on delivering a reproducible, educational notebook demonstrating partial derivatives of scalar fields on a sphere using Spherical Harmonics Transform (SHT) and Inverse Vector Spherical Harmonic Transform (IVSHT). The work emphasizes business value through validated gradient calculations, documentation, and ready-to-share material for downstream users and partner teams.
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly work summary for NVIDIA/torch-harmonics focusing on delivering a reproducible, educational notebook demonstrating partial derivatives of scalar fields on a sphere using Spherical Harmonics Transform (SHT) and Inverse Vector Spherical Harmonic Transform (IVSHT). The work emphasizes business value through validated gradient calculations, documentation, and ready-to-share material for downstream users and partner teams.
September 2025
June 2025
13 Commits • 1 Features
Jun 1, 2025June 2025—NVIDIA/torch-harmonics monthly summary: Focused on improving developer experience and maintainability through a comprehensive documentation update across modules. This read-only effort preserves functionality while clarifying APIs, usage, and examples to accelerate onboarding and future feature work. The work establishes a solid knowledge base to support scalability and reliability as the project grows.
June 2025
13 Commits • 1 Features
Jun 1, 2025June 2025—NVIDIA/torch-harmonics monthly summary: Focused on improving developer experience and maintainability through a comprehensive documentation update across modules. This read-only effort preserves functionality while clarifying APIs, usage, and examples to accelerate onboarding and future feature work. The work establishes a solid knowledge base to support scalability and reliability as the project grows.
Activity
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Quality Metrics
Correctness98.6%
Maintainability98.6%
Architecture93.2%
Performance88.0%
AI Usage21.4%
Skills & Technologies
Programming Languages
C++Jupyter NotebookPython
Technical Skills
Code ClarityCode ReadabilityCode RefactoringData VisualizationDistributed ComputingDocumentationJupyter NotebooksNumerical AnalysisPyTorchPythonScientific ComputingSpherical CNNsSpherical HarmonicsTesting
Repositories Contributed To
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