Alternatives and similar repositories for MXMCPy

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

• nasa / pigans-material-ID
  ☆16Updated 2 years ago
• nasa / scifen-solver
  ☆11Updated 7 years ago
• nasa / SROMPy
  Python module to generate stochastic reduced order models (SROMs)
  ☆46Updated 2 years ago
• nasa / GlennOPT
  Single and multi-objective optimization for computational simulations
  ☆20Updated 5 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 week
• nasa / MLMCPy
  ☆72Updated 2 years ago
• nasa / SMCPy
  Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler
  ☆121Updated 3 weeks ago
• nasa / Plot3D_utilities
  A Python library for reading, writing, finding connectivity for plot3d files
  ☆44Updated last month
• nasa / MCMCPy
  Python module for uncertainty quantification using a Markov chain Monte Carlo sampler
  ☆16Updated 6 years ago
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆123Updated last week
• nasa / bingo
  ☆68Updated last week
• nasa / pyrefine
  Python scripting for computational fluid dynamics mesh adaptation with refine
  ☆18Updated 4 months ago
• nasa / swSim
  Solid Wave Simulation (swSim) is software that solves heterogeneous, anisotropic elastodynamic equations for ultrasonic NDE simulation. A…
  ☆14Updated 4 years ago
• dynamicslab / pysensors
  PySensors is a Python package for sparse sensor placement
  ☆100Updated last month
• dolfin-adjoint / pyadjoint
  The algorithmic differentation tool pyadjoint and add-ons.
  ☆104Updated last week
• sandialabs / UQTk
  Sandia Uncertainty Quantification Toolkit
  ☆83Updated 9 months ago
• IvanYashchuk / jax-fenics
  Differentiable interface to FEniCS for JAX
  ☆58Updated 4 years ago
• erichson / DMDpack
  Dynamic Mode Decomposition
  ☆60Updated 8 years ago
• tensordiffeq / TensorDiffEq
  Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…
  ☆116Updated 3 years ago
• google / data-driven-discretization-1d
  Code for "Learning data-driven discretizations for partial differential equations"
  ☆169Updated last month
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆72Updated last year
• lanl / SEPIA
  Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
  ☆35Updated 2 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• aquaULB / solving_pde_mooc
  ☆74Updated last week
• nasa / Reinforcement-Learning-Benchmarking
  Scripts for running several OpenAI Baselines algorithms on all MuJoCo or Roboschool gym environments to compare performance.
  ☆12Updated 6 years ago
• kailaix / AdFem.jl
  Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling
  ☆85Updated 4 years ago
• cpraveen / chebpy
  Spectral Methods in Python
  ☆59Updated 5 months ago
• sblauth / cashocs
  computational adjoint-based shape optimization and optimal control software for python
  ☆57Updated this week
• apwillis1 / JFNK-Hookstep
  Jacobian-Free Newton-Krylov solver with Hookstep-trust-region approach
  ☆23Updated last year
• chebpy / chebpy
  A Python implementation of Chebfun
  ☆143Updated this week