cdslaborg / paramonteLinks
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
☆293Updated 8 months ago
Alternatives and similar repositories for paramonte
Users that are interested in paramonte are comparing it to the libraries listed below
Sorting:
- A Python implementation of Chebfun☆142Updated this week
- Probabilistic modelling and uncertainty quantification library☆278Updated last month
- Python package for numerical derivatives and partial differential equations in any number of dimensions.☆482Updated last week
- pyMOR - Model Order Reduction with Python☆325Updated this week
- Powell's Derivative-Free Optimization solvers.☆104Updated 4 months ago
- An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.☆279Updated 4 months ago
- Chaospy - Toolbox for performing uncertainty quantification.☆466Updated last week
- Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.☆228Updated 2 years ago
- Lecture material on numerical methods for partial differential equations.☆278Updated 4 years ago
- Solve automatic numerical differentiation problems in one or more variables.☆268Updated 2 years ago
- Numerically solve the Fokker-Planck equation in N dimensions☆93Updated last year
- Jupyter notebook class notes for Numerical Methods for PDEs☆146Updated 2 years ago
- Python package for solving partial differential equations using finite differences.☆445Updated last month
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆323Updated 2 weeks ago
- Numerical parameter continuation in Python.☆39Updated last year
- Some open material relating to the Southampton Numerical Methods course☆105Updated 6 years ago
- pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reus…☆247Updated last week
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆239Updated last year
- Modern Fortran Edition of the SLSQP Optimizer☆103Updated 5 months ago
- Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.☆97Updated 3 weeks ago
- A library of modern Fortran modules for nonlinear optimization☆160Updated this week
- Python library for ODE integration via Taylor's method and LLVM☆78Updated last week
- Python wrapper of LSODA (solving ODEs) which can be called from within numba functions.☆98Updated 2 years ago
- The ODES scikit for ordinary differential and algebraic equations, an extension to scipy☆126Updated 7 months ago
- Python wrapper of Minpack (root finding) which can be called from within numba functions.☆36Updated 3 months ago
- Resources for "The Craft of Finite Difference Computing with Partial Differential Equations" by H. P. Langtangen☆175Updated 5 years ago
- Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization☆574Updated 7 months ago
- PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementatio…☆364Updated last week
- RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, mod…☆242Updated 3 weeks ago
- Methods for numerical differentiation of noisy data in python☆122Updated this week