Alternatives and similar repositories for GP-Plus

Users that are interested in GP-Plus are comparing it to the libraries listed below

• IdahoLabResearch / BIhNNs
  The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …
  ☆15Updated 2 years ago
• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆45Updated 4 years ago
• ma921 / SOBER
  Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
  ☆28Updated last month
• shib0li / DNN-MFBO
  Multi-fidelity Bayesian Optimization via Deep Neural Nets
  ☆32Updated 4 years ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆28Updated 5 years ago
• ilijabogunovic / Robust-BO
  List of papers on robust Bayesian optimization
  ☆17Updated 3 years ago
• lbl-camera / fvGP
  A software package for flexible HPC GPs
  ☆16Updated this week
• sandialabs / pyapprox
  Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.
  ☆65Updated last week
• josephbakarji / bucki-data
  Machine learning algorithms for discovering dimensionless groups from simulation and experimental data
  ☆13Updated 2 years ago
• wedeling / EasySurrogate
  The VECMA toolkit for creating surrogate models of multiscale systems.
  ☆19Updated 8 months ago
• zavalab / Tutorials
  ☆26Updated 7 months ago
• ziatdinovmax / AugmentedGaussianProcess
  Gaussian process augmented with a probabilistic model of expected system's behavior
  ☆15Updated 3 years ago
• AudOlivier / UQ_in_ML
  ☆10Updated 4 years ago
• maziarraissi / NumericalGP
  Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  ☆69Updated 5 years ago
• SergeiVKalinin / UTK-Spring-2023---Automated-Experiment
  Spring 2023 seminar on automated experiment
  ☆23Updated 2 years ago
• elejeune11 / Mechanical-MNIST
  Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanica…
  ☆37Updated 5 years ago
• PULSE-ML / MOMFBO-Algorithm
  A Multi-objective Multi-fidelity acquisition function for Bayesian optimization based on EHVI method.
  ☆11Updated 3 years ago
• LironSimon / SciMED
  A computational framework for finding symbolic expressions from physical datasets.
  ☆61Updated 2 years ago
• mahindrautela / BOPINN
  Bayesian optimized physics-informed neural network for parameter estimation
  ☆32Updated 9 months ago
• OptiMaL-PSE-Lab / REINFORCE-PSE
  Reinforcement learning for batch bioprocess optimization (Computers & Chemical Engineering, 2020)
  ☆13Updated 3 years ago
• samuelkim314 / DeepBO
  Deep Bayesian Optimization for Problems with High-Dimensional Structure
  ☆16Updated 2 years ago
• jpzxshi / sympnets
  ☆28Updated 4 years ago
• ndcbe / cbe67701-uncertainty-quantification
  Summer 2020 reading group on uncertainty quantification
  ☆22Updated 5 years ago
• PredictiveIntelligenceLab / BayesianDifferentiableProgramming
  ☆21Updated 4 years ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆57Updated last year
• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆22Updated 2 years ago
• elvissoares / PyCahnHilliard
  A python script to solve the Cahn-Hilliard equation using an implicit pseudospectral method
  ☆50Updated last year
• PV-Lab / BayesProcess
  Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.
  ☆31Updated 4 years ago
• dimitra-maoutsa / DeterministicParticleFlowControl
  Repository for Deterministic Particle Flow Control framework
  ☆10Updated 2 years ago
• aspuru-guzik-group / gemini
  scalable multi-fidelity machine learning
  ☆10Updated 4 years ago