Alternatives and similar repositories for Bayesian-optimization:

Users that are interested in Bayesian-optimization are comparing it to the libraries listed below

• jejjohnson / uncertain_gps
  Exploring how to to deal with uncertain inputs with gaussian process regression models.
  ☆27Updated 3 years ago
• cagrell / gp_constr
  Python model for constrained GP
  ☆24Updated 3 years ago
• MaximilianB2 / pc-gym
  Reinforcement learning environments for process control applications.
  ☆47Updated last month
• KrisNguyen135 / bayesian-optimization-in-action
  Source code for Bayesian Optimization in Action, published by Manning
  ☆89Updated last year
• GaloisInc / dlkoopman
  A general-purpose Python package for Koopman theory using deep learning.
  ☆97Updated last month
• gpschool / gpss21
  ☆12Updated 2 years ago
• MLDS-NUS / KoopmanDL
  Learning Koopman operator by EDMD with trainable dictionary
  ☆25Updated 2 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆32Updated last year
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆48Updated 10 months ago
• clegaard / deep_learning_for_dynamical_systems
  ☆86Updated 2 years ago
• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆41Updated 3 years ago
• NREL / phygnn
  physics-guided neural networks (phygnn)
  ☆92Updated this week
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆55Updated 4 months ago
• drgona / PIML_ACC2023
  Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the Am…
  ☆19Updated 11 months ago
• bemporad / jax-sysid
  A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax
  ☆29Updated 3 weeks ago
• Ryan-Rhys / Heteroscedastic-BO
  Heteroscedastic Bayesian Optimisation in Numpy
  ☆21Updated 2 years ago
• LamNgo1 / cma-meta-algorithm
  [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
  ☆19Updated 3 months ago
• SimonRennotte / Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
  Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…
  ☆134Updated last year
• BYU-PRISM / Transformer_MPC
  ☆37Updated last year
• hvarfner / vanilla_bo_in_highdim
  ☆27Updated last month
• shib0li / DNN-MFBO
  Multi-fidelity Bayesian Optimization via Deep Neural Nets
  ☆29Updated 4 years ago
• cog-imperial / SnAKe
  Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".
  ☆16Updated last year
• cog-imperial / entmoot
  Multiobjective black-box optimization using gradient-boosted trees
  ☆56Updated 3 weeks ago
• forgi86 / sysid-transfer-functions-pytorch
  Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"
  ☆22Updated last year
• sydney-machine-learning / Bayesianneuralnetworks-MCMC-tutorial
  Bayesian neural networks via MCMC: tutorial
  ☆51Updated 5 months ago
• Avidereta / risk-averse-hetero-bo
  Risk-averse Heteroscedastic Bayesian Optimization, NeurIPS 2021
  ☆14Updated 3 years ago
• grasool / Gaussian-Processes
  Introduction to Gaussian Processes
  ☆27Updated 6 years ago
• long-da / A-United-Framework-to-Integrate-Physics-into-Gaussian-Processes
  ☆10Updated 2 years ago
• emedd33 / Reinforcement-Learning-in-Process-Control
  Master thesis spring 2019. Template to be futher used by the department of chemical engineering at NTNU,
  ☆32Updated last year
• wangronin / Bayesian-Optimization
  Bayesian Optimization algorithms with various recent improvements
  ☆99Updated last year