ClementiGroup/mlcg
Feb 2026 – Feb 2026
1 Month active
Languages Used
DockerfilePython
Technical Skills
CI/CDCode FormattingDockerPyTorchPythonPython programming
lianctrl
PROFILE
Lianctrl
Worked on the ClementiGroup/mlcg repository to enhance code quality and ensure mainline integration, focusing on improving reliability and maintainability. The developer merged updates from the main branch, standardized code formatting using Black, and refactored critical modules for better readability. Addressed two key bugs by correcting the offset calculation in the neural network prior module, ensuring accurate displacement, and fixing coordinate wrapping under periodic boundary conditions to maintain valid simulation ranges. Leveraged Python, PyTorch, and Docker to support scientific computing workflows, demonstrating a methodical approach to codebase alignment, bug resolution, and the implementation of best practices in software development.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
5Total
Bugs
2
Commits
5
Features
1
Lines of code
34,639
Activity Months1
Your Network
9 peopleShared Repositories
9
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Paul MifsudMember
sayeg84Member
jacopoventurinMember
Work History
February 2026
5 Commits • 1 Features
Feb 1, 2026February 2026: ClementiGroup/mlcg delivered key code quality and mainline integration improvements, strengthening reliability and maintainability of the repository. The work focused on bringing codebase into alignment with the main branch, standardizing formatting, and refactoring for readability in critical modules, while addressing numeric correctness in simulation components.
5 Commits • 1 Features
Feb 1, 2026February 2026: ClementiGroup/mlcg delivered key code quality and mainline integration improvements, strengthening reliability and maintainability of the repository. The work focused on bringing codebase into alignment with the main branch, standardizing formatting, and refactoring for readability in critical modules, while addressing numeric correctness in simulation components.
February 2026
Activity
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Quality Metrics
Correctness96.0%
Maintainability96.0%
Architecture96.0%
Performance96.0%
AI Usage28.0%
Skills & Technologies
Programming Languages
DockerfilePython
Technical Skills
CI/CDCode FormattingDockerPyTorchPythonPython programmingSoftware Developmentdata processingdata sciencemachine learningneural networksscientific computing
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