ClementiGroup/mlcg
Feb 2026 – Feb 2026
1 Month active
Languages Used
DockerfilePython
Technical Skills
CI/CDCode FormattingDockerPyTorchPythonPython programming
lianctrl
PROFILE
Lianctrl
Luca Sagresti enhanced the ClementiGroup/mlcg repository by focusing on code quality and mainline integration, aligning the codebase with the main branch and improving maintainability. He applied Black formatting to standardize Python code style and refactored critical modules for better readability, particularly in torch-based neighbor list and prior base components. Luca addressed two core simulation bugs: correcting offset calculations in the neural network prior module to ensure accurate displacement, and fixing periodic boundary condition handling for fractional coordinates to maintain valid simulation ranges. His work leveraged Python, PyTorch, and Docker, demonstrating depth in scientific computing and robust software development practices.
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
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Klara BonneauMember
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Paul MifsudMember
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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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