Artelnics/opennn
Oct 2025 – Dec 2025
2 Months active
Languages Used
C++CMakeQMakePython
Technical Skills
Build System ConfigurationC++CMakeQMakeUnit TestingC++ development
unknown
PROFILE
Unknown
Worked on the Artelnics/opennn repository to enhance testing infrastructure and prepare the codebase for GPU-accelerated workflows. Developed new test cases for Dataset and NeuralNetwork classes, refactored build systems using CMake and QMake, and updated ConvolutionalLayerTest to support batch normalization and improved parameterization. Focused on maintainability by removing unnecessary large files and enabling full test suite execution to increase validation coverage. Improved Linux build readiness by ensuring cuDNN availability for CUDA and enabling OpenMP for parallel execution. Leveraged C++, CUDA, and parallel programming skills to strengthen regression coverage and support future development in machine learning and data analysis.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
4
Lines of code
60,346
Activity Months2
Your Network
16 peopleShared Repositories
16
Work History
December 2025
3 Commits • 3 Features
Dec 1, 2025December 2025 delivered three targeted improvements to Artelnics/opennn: content cleanup to reduce repo noise, Linux GPU acceleration readiness, and full-test execution to enhance validation. These changes improve maintainability, performance potential on GPU-accelerated workflows, and release confidence by increasing test coverage.
3 Commits • 3 Features
Dec 1, 2025December 2025 delivered three targeted improvements to Artelnics/opennn: content cleanup to reduce repo noise, Linux GPU acceleration readiness, and full-test execution to enhance validation. These changes improve maintainability, performance potential on GPU-accelerated workflows, and release confidence by increasing test coverage.
December 2025
October 2025
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10 | Highlights for Artelnics/opennn: Delivered OpenNN Dataset and NeuralNetwork testing enhancements, including new test cases for Dataset and NeuralNetwork classes, build-system refactor to CMakeLists.txt and .pro files to correctly include/link new functionalities, and ConvolutionalLayerTest updates enabling batch normalization and improved test parameterization. Associated commit: 7d2d2c8d7ee53ed71322e8f9fe6d03aa57b95449 (tests). This work improves test coverage, reliability, and readiness for further feature development.
October 2025
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10 | Highlights for Artelnics/opennn: Delivered OpenNN Dataset and NeuralNetwork testing enhancements, including new test cases for Dataset and NeuralNetwork classes, build-system refactor to CMakeLists.txt and .pro files to correctly include/link new functionalities, and ConvolutionalLayerTest updates enabling batch normalization and improved test parameterization. Associated commit: 7d2d2c8d7ee53ed71322e8f9fe6d03aa57b95449 (tests). This work improves test coverage, reliability, and readiness for further feature development.
Activity
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Quality Metrics
Correctness90.0%
Maintainability85.0%
Architecture85.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakePythonQMake
Technical Skills
Build System ConfigurationC++C++ developmentCMakeCUDAParallel ProgrammingQMakeUnit Testingdata analysismachine learningsoftware developmenttesting
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