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
Worked on the deepinv/deepinv repository to enhance scientific computing workflows by developing and integrating a MINRES (Minimal Residual) solver for linear systems, supporting complex numbers and stabilization parameters. This solver was incorporated into the LinearPhysics module, with expanded test coverage and updated documentation to ensure reliability in least_squares-based computations. Additionally, improved dataset import robustness by implementing user-friendly ImportError handling for the CBSD68 dataset, guiding users to install missing dependencies and reducing onboarding friction. The work leveraged Python, C++, and PyTorch, demonstrating strengths in linear algebra, numerical methods, and error handling to deliver more stable and maintainable code.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
249
Activity Months2
Your Network
41 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.
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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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