Alternatives and similar repositories for bo

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

• ntienvu / KnownOptimum_BO
  Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization
  ☆15Updated 2 years ago
• fusion-ml / OCBO
  Offline Contextual Bayesian Optimization
  ☆14Updated last year
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆51Updated last year
• aryandeshwal / HyBO
  ☆22Updated 2 years ago
• LamNgo1 / cma-meta-algorithm
  [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
  ☆19Updated 6 months 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
• XZT008 / Standard-GP-is-all-you-need-for-HDBO
  Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks
  ☆13Updated 2 months ago
• jejjohnson / uncertain_gps
  Exploring how to to deal with uncertain inputs with gaussian process regression models.
  ☆27Updated 4 years ago
• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆43Updated 3 years ago
• Avidereta / risk-averse-hetero-bo
  Risk-averse Heteroscedastic Bayesian Optimization, NeurIPS 2021
  ☆15Updated 3 years ago
• ltiao / bore
  Bayesian Optimization with Density-Ratio Estimation
  ☆23Updated 2 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆35Updated 2 years ago
• sarmueller / gibo
  This repository contains the code for the paper "Local policy search with Bayesian optimization".
  ☆15Updated 2 years ago
• LaurenceA / bayesfunc
  ☆15Updated 2 years ago
• secondmind-labs / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆11Updated 2 years ago
• MachineLearningLifeScience / hdbo_benchmark
  Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"
  ☆11Updated 4 months 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
• wujian16 / TwoStep-BayesOpt
  NeurIPS 2019 Paper
  ☆11Updated 5 years ago
• ae-foster / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆12Updated 5 years ago
• xingchenwan / Casmopolitan
  [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
  ☆30Updated 2 years ago
• a5a / asynchronous-BO
  Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"
  ☆12Updated 6 years ago
• hvarfner / vanilla_bo_in_highdim
  ☆29Updated 3 months ago
• plugyawn / gp-zoo
  A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…
  ☆14Updated 2 years ago
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆32Updated 2 months ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆53Updated last year
• aryandeshwal / BODi
  ☆9Updated last year
• secondmind-labs / markovflow
  A Tensorflow based library for Time Series Modelling with Gaussian Processes
  ☆32Updated 11 months ago
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆38Updated 2 months ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• desi-ivanova / idad
  Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods
  ☆19Updated 3 years ago