Python computations in science and engineering (pycse) - helps with scientific computing tasks including nonlinear regression, uncertainty quantification, design of experiments (DOE), Latin hypercube sampling, surface response modeling, and neural network-based UQ with DPOSE. Use when working with numerical optimization, data fitting, experimental design, or uncertainty analysis.
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Skill Details
GitHub Stars
272
GitHub Forks
74
Created
Jan 2026
Last Updated
5 months ago
tools
tools data analysis
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