Alternatives and similar repositories for DNN-MFBO:

Users that are interested in DNN-MFBO are comparing it to the libraries listed below

• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆41Updated 3 years ago
• Xiao-dong-Wang / Multifidelity-GP
  Multi-fidelity Gaussian Process
  ☆25Updated 4 years ago
• ContiPaolo / MultiFidelity_NNs
  Multi-fidelity regression with neural networks
  ☆11Updated 3 months ago
• XuhuiM / Multi-Fidelity-DNNs-PINNs
  ☆36Updated last year
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆30Updated 8 months ago
• sjvrijn / mf2
  Collection of Multi-Fidelity benchmark functions
  ☆27Updated 6 months ago
• paraklas / NARGP
  Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.
  ☆61Updated 8 years ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆22Updated 4 months ago
• fsahli / MFclass
  Multi-fidelity classification with Gaussian process
  ☆15Updated last year
• JiaxiangYi96 / mfpml
  Multi-fidelity probability machine learning
  ☆17Updated last month
• 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
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆36Updated 2 years ago
• vivekoommen / NPJCOMPUMATS-03747
  Learning two-phase microstructure evolution using neural operators and autoencoder architectures
  ☆23Updated 10 months ago
• PredictiveIntelligenceLab / UQPINNs
  ☆62Updated 5 years ago
• yakovlev31 / graphpdes_experiments
  ☆34Updated 4 years ago
• mid2SUPAERO / multi-fi-optimization
  Multifidelity Kriging, Efficient Global Optimization
  ☆17Updated 6 years ago
• peterparity / symder
  SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
  ☆20Updated 2 years ago
• elizqian / mfgsa
  multifidelity global sensitivity analysis
  ☆16Updated 2 years ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆25Updated 3 years ago
• Yubin-Lu / Temporal-normalizing-flows-for-SDEs
  Try to approximate the solution of Fokker-Planck equation
  ☆9Updated last year
• CarlosJose126 / NeuralODE-ROM
  This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"
  ☆16Updated last year
• weili101 / Phase-Field_DeepONet
  ☆13Updated 10 months ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆67Updated 4 years ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆49Updated 2 years ago
• PredictiveScienceLab / variational-elliptic-SPDE
  ☆13Updated 5 years ago
• ContiPaolo / MultiFidelity_POD
  Multi-fidelity reduced-order surrogate modeling
  ☆19Updated 3 months ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆37Updated 2 years ago
• PredictiveIntelligenceLab / Long-time-Integration-PI-DeepONets
  ☆52Updated 2 years ago