Furox-Art/scientific-computing-system

Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.

SciPy library main repository

A computational methods and simulation toolkit

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

Uncertainty Quantification using Polynomial Chaos Expansion (UQPCE) is an open-source, python-based research code for use in parametric, non-deterministic computational studies. UQPCE utilizes a non-intrusive polynomial chaos expansion surrogate modeling technique to efficiently estimate uncertainties for computational analyses.

The nutils project

A Python toolkit for lattice field theory, quantum computing, and machine learning

PyLops – A Linear-Operator Library for Python

Multiresolution Adaptive Numerical Environment for Scientific Simulation