Alternatives and similar repositories for mf2:

Users that are interested in mf2 are comparing it to the libraries listed below

• shib0li / DNN-MFBO
  Multi-fidelity Bayesian Optimization via Deep Neural Nets
  ☆29Updated 4 years ago
• Xiao-dong-Wang / Multifidelity-GP
  Multi-fidelity Gaussian Process
  ☆25Updated 4 years ago
• XuhuiM / Multi-Fidelity-DNNs-PINNs
  ☆36Updated last year
• mid2SUPAERO / multi-fi-optimization
  Multifidelity Kriging, Efficient Global Optimization
  ☆17Updated 6 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆67Updated 4 years ago
• fsahli / MFclass
  Multi-fidelity classification with Gaussian process
  ☆15Updated last year
• paraklas / NARGP
  Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.
  ☆61Updated 8 years ago
• ContiPaolo / MultiFidelity_POD
  Multi-fidelity reduced-order surrogate modeling
  ☆19Updated 3 months ago
• anyoptimization / pysampling
  Sampling: Random, LHS, Sobol, Halton
  ☆11Updated 3 years ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• ContiPaolo / MultiFidelity_NNs
  Multi-fidelity regression with neural networks
  ☆11Updated 3 months ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆37Updated 2 years ago
• Adolphus8 / Transitional_Ensemble_MCMC
  Repository to tutorials on the implementation of the Transitional Ensemble Markov Chain Monte Carlo (TEMCMC) sampler for Bayesian Model U…
  ☆17Updated 2 years ago
• maxehre / polynomial_surrogates
  Tools to construct surrogate models based on Hermitian polynomial bases. Includes full-factorial and sparse polynomial chaos expansions v…
  ☆10Updated 6 years ago
• elizqian / mfgsa
  multifidelity global sensitivity analysis
  ☆16Updated 2 years ago
• Jianxun-Wang / Physics-constrained-Bayesian-deep-learning
  Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data
  ☆48Updated 4 years ago
• JiaxiangYi96 / mfpml
  Multi-fidelity probability machine learning
  ☆17Updated last month
• mathLab / ATHENA
  ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
  ☆51Updated last year
• FuhgJan / StateOfTheArtAdaptiveSampling
  ☆47Updated 3 years ago
• xdfeng7370 / Multi-fidelity-neural-network-
  ☆36Updated last year
• pswpswpsw / SKDMD
  Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems
  ☆28Updated 2 years ago
• anyoptimization / pysamoo
  ☆43Updated last year
• maziarraissi / TutorialGP
  Tutorial on Gaussian Processes
  ☆62Updated 5 years ago
• PredictiveIntelligenceLab / UQPINNs
  ☆62Updated 5 years ago
• paulcon / as-data-sets
  Active Subspace Data Sets
  ☆32Updated 7 years ago
• freeSBDO / SBDOT
  Surrogate Based Design Optimization Toolbox
  ☆29Updated 6 years ago
• zabaras / deep-turbulence
  Multi-fidelity Generative Deep Learning Turbulent Flows
  ☆37Updated 4 years ago
• niallmm / SINDy_AIC
  combination of sparse identification of nonlinear dynamics with Akaike information criteria
  ☆16Updated 7 years ago
• CarlosJose126 / NeuralODE-ROM
  This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"
  ☆17Updated last year