madsjulia/Mads.jl

RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.

High level functions for analyzing the output of simulations

Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia

workbench for performing exploratory modeling and analysis

Derivative-free parameter calibration and uncertainty quantification for expensive models using ensemble Kalman methods

The core Dakota project

Integrated Assessment Modeling Framework

Stochastic Optimization, Learning, Uncertainty and Sampling

Exploratory analysis of Bayesian models with Julia