nasa / SMCPy
Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler
☆116Updated last week
Alternatives and similar repositories for SMCPy:
Users that are interested in SMCPy are comparing it to the libraries listed below
- ☆67Updated last year
- Python module to generate stochastic reduced order models (SROMs)☆43Updated last year
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆35Updated last year
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆80Updated last week
- ☆99Updated last year
- Uncertainty Quantification using Polynomial Chaos Expansion (UQPCE) is an open source, python based research code for use in parametric, …☆40Updated last month
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆290Updated this week
- Python implementation of MATLAB toolbox "mcmcstat"☆70Updated 2 years ago
- Educational materials to learn how to employ Bayesian optimization techniques for parameter estimation of computational and statistical m…☆14Updated last year
- PySensors is a Python package for sparse sensor placement☆88Updated 2 weeks ago
- Powell's Derivative-Free Optimization solvers.☆102Updated this week
- The Theory of Functional Connections: A functional interpolation method with applications in solving differential equations.☆38Updated last week
- Python library for ODE integration via Taylor's method and LLVM☆74Updated this week
- ☆31Updated 2 years ago
- Python-based Derivative-Free Optimization with Bound Constraints☆78Updated 6 months ago
- ☆16Updated 8 months ago
- ☆19Updated 5 years ago
- Sandia Uncertainty Quantification Toolkit☆79Updated 3 months ago
- ☆47Updated last year
- pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reus…☆238Updated this week
- Python wrapper of LSODA (solving ODEs) which can be called from within numba functions.☆96Updated 2 years ago
- Solve ODEs fast, with support for PyMC☆112Updated 10 months ago
- Single and multi-objective optimization for computational simulations☆17Updated last month
- Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.☆229Updated 2 years ago
- Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.☆56Updated this week
- Multi-dimensional B-splines☆31Updated 2 weeks ago
- Hamiltonain Monte Carlo in Python☆39Updated 5 years ago
- Python-based Derivative-Free Optimizer for Least-Squares☆42Updated last month
- Easy access in Python to a large collection of ODE solvers☆122Updated 4 years ago
- The algorithmic differentation tool pyadjoint and add-ons.☆94Updated this week