pycse

Features and purpose

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.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.