Alternatives and similar repositories for KnownOptimum_BO

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

• ltiao / bore
  Bayesian Optimization with Density-Ratio Estimation
  ☆23Updated 2 years ago
• wujian16 / TwoStep-BayesOpt
  NeurIPS 2019 Paper
  ☆11Updated 5 years ago
• aryandeshwal / HyBO
  ☆22Updated 2 years ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆53Updated last year
• facebookresearch / ContextualBO
  Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"
  ☆15Updated 4 years ago
• ntienvu / MiniBO
  Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization
  ☆15Updated 2 years ago
• zi-w / Max-value-Entropy-Search
  Max-value Entropy Search for Efficient Bayesian Optimization
  ☆76Updated 3 years ago
• rubinxin / CoCaBO_code
  Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)
  ☆52Updated 5 years ago
• boschresearch / NoisyInputEntropySearch
  This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al…
  ☆11Updated 4 years ago
• LeoIV / BAxUS
  This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…
  ☆17Updated last year
• shalijiang / bo
  code for BINOCULARS and Multi-Step BO
  ☆12Updated 4 years ago
• sarmueller / gibo
  This repository contains the code for the paper "Local policy search with Bayesian optimization".
  ☆15Updated 2 years ago
• xingchenwan / Casmopolitan
  [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
  ☆30Updated 2 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆34Updated 2 weeks ago
• fusion-ml / OCBO
  Offline Contextual Bayesian Optimization
  ☆14Updated last year
• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆44Updated 3 years ago
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆73Updated 2 years ago
• zi-w / Ensemble-Bayesian-Optimization
  Code repository for Ensemble Bayesian Optimization
  ☆53Updated 5 years ago
• fbickfordsmith / epig
  Bayesian active learning with EPIG data acquisition
  ☆32Updated 2 months ago
• boschresearch / MetaBO
  Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
  ☆38Updated 5 years ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆53Updated last year
• benavoli / SkewGP
  Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga
  ☆15Updated 3 years ago
• thangbui / sparseGP_powerEP
  Unifying sparse approximations for Gaussian process regression and classification, using Power EP
  ☆22Updated 8 years ago
• jparkerholder / ASEBO
  Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …
  ☆16Updated 4 years ago
• aryandeshwal / BODi
  ☆9Updated last year
• DartML / Stein-Variational-Gradient-Descent
  code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
  ☆100Updated 6 years ago
• automl / pybnn
  Bayesian neural network package
  ☆148Updated 4 years ago
• jonasrothfuss / meta_learning_pacoh
  Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds
  ☆26Updated last year
• TeaPearce / Bayesian_NN_Ensembles
  AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'
  ☆89Updated 4 years ago