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:
- Python package for numerical derivatives and partial differential equations in any number of dimensions.☆482Updated 2 weeks ago
- Numerically solve the Fokker-Planck equation in N dimensions☆94Updated last year
- A Python implementation of Chebfun☆142Updated this week
- Powell's Derivative-Free Optimization solvers.☆104Updated 4 months ago
- Probabilistic modelling and uncertainty quantification library☆281Updated last week
- Python package for solving partial differential equations using finite differences.☆445Updated last week
- Chaospy - Toolbox for performing uncertainty quantification.☆466Updated 3 weeks ago
- pyMOR - Model Order Reduction with Python☆325Updated this week
- Python implementation of MATLAB toolbox "mcmcstat"☆72Updated 3 years ago
- Resources for "The Craft of Finite Difference Computing with Partial Differential Equations" by H. P. Langtangen☆176Updated 5 years ago
- Simple one-dimensional examples of various hydrodynamics techniques☆119Updated 4 years ago
- Lecture material on numerical methods for partial differential equations.☆279Updated 4 years ago
- Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler☆122Updated last week
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆323Updated last month
- Sandia Uncertainty Quantification Toolkit☆83Updated 9 months ago
- Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.☆228Updated 2 years ago
- An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.☆278Updated 5 months ago
- Jupyter notebook class notes for Numerical Methods for PDEs☆147Updated 2 years ago
- pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reus…☆248Updated 3 weeks ago
- Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.☆97Updated last month
- Numerical parameter continuation in Python.☆39Updated last year
- Programs for "Numerical Methods for Physics" by Alejandro Garcia☆94Updated 6 years ago
- AUTO is a publicly available software for continuation and bifurcation problems in ordinary differential equations originally written in …☆138Updated 3 months ago
- A library of modern Fortran modules for nonlinear optimization☆162Updated 2 weeks ago
- Probabilistic Inference on Noisy Time Series☆240Updated last week
- The ODES scikit for ordinary differential and algebraic equations, an extension to scipy☆127Updated 8 months ago
- For generating plots from Fortran using Python's matplotlib.pyplot 📈☆211Updated last year
- Leveraging numba to speed up ODE integration☆73Updated last year
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆239Updated last year
- Modern Fortran Edition of the SLSQP Optimizer☆103Updated 5 months ago