PaddlePaddle/PaddleCFD
Jun 2025 – Sep 2025
3 Months active
Languages Used
MarkdownPythonXMLYAMLShell
Technical Skills
Code RefactoringComputational Fluid DynamicsData ManagementData VisualizationDeep LearningDocumentation
liaoxin2
PROFILE
Liaoxin2
Liaoxin Zhilu developed advanced simulation and deep learning features for the PaddlePaddle/PaddleCFD repository, focusing on fluid dynamics and neural operator workflows. Over three months, Liaoxin delivered an Airfoil Wake Example Suite with NODM-based prediction, robust wake simulation, and end-to-end data pipelines for training and evaluation. The work included project-wide code refactoring, CLI enhancements, and YAML-based configuration management to streamline onboarding and reproducibility. Liaoxin integrated new optimizers for PDE training, migrated code from PyTorch to PaddlePaddle, and improved documentation for clarity. Using Python, YAML, and scientific computing tools, Liaoxin’s contributions enhanced maintainability and expanded the repository’s modeling capabilities.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
17Total
Bugs
0
Commits
17
Features
5
Lines of code
398,930
Activity Months3
Your Network
9 people
Work History
September 2025
3 Commits • 1 Features
Sep 1, 2025In Sep 2025, delivered key business-value capabilities for PaddleCFD: an Airfoil Wake Example Suite including a NODM-based predictor and robust wake simulation, with end-to-end data preparation, training and post-processing scripts for Neural Operator and Diffusion Model components. Improvements in data preprocessing and train/validation splits enhanced robustness and reproducibility. Reorganization of utilities and models reduced maintenance burden and accelerated onboarding. Comprehensive documentation and example data enable reproducible demos and customer-ready evaluation.
3 Commits • 1 Features
Sep 1, 2025In Sep 2025, delivered key business-value capabilities for PaddleCFD: an Airfoil Wake Example Suite including a NODM-based predictor and robust wake simulation, with end-to-end data preparation, training and post-processing scripts for Neural Operator and Diffusion Model components. Improvements in data preprocessing and train/validation splits enhanced robustness and reproducibility. Reorganization of utilities and models reduced maintenance burden and accelerated onboarding. Comprehensive documentation and example data enable reproducible demos and customer-ready evaluation.
September 2025
July 2025
7 Commits • 2 Features
Jul 1, 2025July 2025 highlights for PaddleCFD (PaddlePaddle/PaddleCFD): Delivered major Darcy Flow and ppdeeponet ecosystem enhancements with a project-wide refactor and CLI improvements; integrated SOAP optimizer for PDE training; connected PirateNets with MultiONet; refactored PWC solver with a new config; completed the PyTorch to PaddlePaddle migration; and cleaned up legacy READMEs to streamline the repo. Also improved ppdeeponet README readability for clearer mathematical expressions and presentation.
July 2025
7 Commits • 2 Features
Jul 1, 2025July 2025 highlights for PaddleCFD (PaddlePaddle/PaddleCFD): Delivered major Darcy Flow and ppdeeponet ecosystem enhancements with a project-wide refactor and CLI improvements; integrated SOAP optimizer for PDE training; connected PirateNets with MultiONet; refactored PWC solver with a new config; completed the PyTorch to PaddlePaddle migration; and cleaned up legacy READMEs to streamline the repo. Also improved ppdeeponet README readability for clearer mathematical expressions and presentation.
June 2025
7 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for PaddlePaddle/PaddleCFD focused on delivering two high-value features with clear business impact and improved developer experience. The work enhances product capabilities, simplifies configuration, and strengthens visualization tooling to support demonstrations and onboarding.
7 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for PaddlePaddle/PaddleCFD focused on delivering two high-value features with clear business impact and improved developer experience. The work enhances product capabilities, simplifies configuration, and strengthens visualization tooling to support demonstrations and onboarding.
June 2025
Activity
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Quality Metrics
Correctness87.6%
Maintainability87.0%
Architecture86.4%
Performance81.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonShellXMLYAML
Technical Skills
Code OrganizationCode RefactoringCommand-line Interface (CLI) DevelopmentComputational Fluid DynamicsConfiguration ManagementData ManagementData PreprocessingData VisualizationDeep LearningDocumentationFluid Dynamics SimulationFramework MigrationFull Stack DevelopmentMachine LearningModel Configuration
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