Alternatives and similar repositories for SMCPy

Users that are interested in SMCPy are comparing it to the libraries listed below

• nasa / MLMCPy
  ☆72Updated 2 years ago
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆126Updated 2 weeks ago
• lanl / SEPIA
  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
  ☆35Updated 2 years ago
• sigma-py / smoothfit
  Smooth data fitting in N dimensions.
  ☆55Updated 2 years ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆105Updated last week
• equadratures / equadratures
  ☆100Updated 3 weeks ago
• cdslaborg / paramonte
  ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
  ☆295Updated 2 weeks ago
• stur86 / tvregdiff
  Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data
  ☆73Updated 5 years ago
• bluescarni / heyoka.py
  Python library for ODE integration via Taylor's method and LLVM
  ☆81Updated 3 weeks ago
• prmiles / pymcmcstat
  Python implementation of MATLAB toolbox "mcmcstat"
  ☆72Updated 3 years ago
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆81Updated last week
• openturns / openturns
  Probabilistic modelling and uncertainty quantification library
  ☆286Updated last week
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆117Updated last year
• scottshambaugh / monaco
  Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
  ☆123Updated 2 weeks ago
• bmcage / odes
  The ODES scikit for ordinary differential and algebraic equations, an extension to scipy
  ☆128Updated 9 months ago
• sandialabs / UQTk
  Sandia Uncertainty Quantification Toolkit
  ☆84Updated 10 months ago
• nasa / UQPCE
  Uncertainty Quantification using Polynomial Chaos Expansion (UQPCE) is an open-source, python-based research code for use in parametric, …
  ☆50Updated last month
• simetenn / uncertainpy
  Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
  ☆230Updated 3 years ago
• SURGroup / UQpy
  UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…
  ☆331Updated 2 months ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• hplgit / odespy
  Easy access in Python to a large collection of ODE solvers
  ☆124Updated 5 years ago
• tisimst / mcerp
  Real-time latin-hypercube sampling-based Monte Carlo ERror Propagation
  ☆80Updated 2 years ago
• sandialabs / pyapprox
  Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.
  ☆65Updated last week
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 2 years ago
• dyscolab / numbakit-ode
  Leveraging numba to speed up ODE integration
  ☆73Updated last month
• numericalalgorithmsgroup / dfols
  Python-based Derivative-Free Optimizer for Least-Squares
  ☆42Updated last week
• pdfo / pdfo
  Powell's Derivative-Free Optimization solvers.
  ☆106Updated 6 months ago
• mdolab / pyoptsparse
  pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reus…
  ☆256Updated last week
• nasa / SROMPy
  Python module to generate stochastic reduced order models (SROMs)
  ☆47Updated 2 years ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆89Updated 3 weeks ago