deepinv/deepinv
Mar 2025 – Oct 2025
2 Months active
Languages Used
C++Python
Technical Skills
Linear AlgebraNumerical MethodsPyTorchPythonScientific ComputingDependency Management
Johannes Hertrich
PROFILE
Johannes Hertrich
Johannes Hertrich contributed to the deepinv/deepinv repository by developing and integrating a MINRES linear system solver with complex-number support and stabilization parameters, enhancing the LinearPhysics module’s accuracy for least_squares-based computations. He extended the test suite and updated documentation to ensure robust validation and user guidance. Using Python, C++, and PyTorch, Johannes also improved dataset import reliability by implementing error handling for the CBSD68 dataset, providing clear user instructions for missing dependencies. His work focused on scientific computing, linear algebra, and dependency management, delivering targeted improvements that increased simulation reliability and reduced onboarding friction for users of the deepinv library.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
249
Activity Months2
Your Network
39 peopleWork History
October 2025
1 Commits
Oct 1, 2025October 2025: Strengthened dataset import reliability in deepinv/deepinv by implementing robust ImportError handling for the CBSD68 dataset, adding a user-friendly error that directs users to install the required 'datasets' library; this reduces runtime failures and improves onboarding.
1 Commits
Oct 1, 2025October 2025: Strengthened dataset import reliability in deepinv/deepinv by implementing robust ImportError handling for the CBSD68 dataset, adding a user-friendly error that directs users to install the required 'datasets' library; this reduces runtime failures and improves onboarding.
October 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for deepinv/deepinv. Focused on delivering a robust linear system solver integration and strengthening test coverage and documentation. The key enhancement is MINRES (Minimal Residual) solver with complex-number support and stabilization parameters, integrated into the LinearPhysics workflow and its test suite to improve accuracy and reliability of least_squares-based computations.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for deepinv/deepinv. Focused on delivering a robust linear system solver integration and strengthening test coverage and documentation. The key enhancement is MINRES (Minimal Residual) solver with complex-number support and stabilization parameters, integrated into the LinearPhysics workflow and its test suite to improve accuracy and reliability of least_squares-based computations.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture80.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
Dependency ManagementError HandlingLinear AlgebraNumerical MethodsPyTorchPythonScientific Computing
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