Alternatives and similar repositories for risk-averse-hetero-bo

Users that are interested in risk-averse-hetero-bo are comparing it to the libraries listed below

• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆64Updated last year
• shalijiang / bo
  code for BINOCULARS and Multi-Step BO
  ☆12Updated 5 years ago
• pmorenoz / HetMOGP
  Heterogeneous Multi-output Gaussian Processes
  ☆54Updated 5 years ago
• rubinxin / CoCaBO_code
  Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)
  ☆51Updated 6 years ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆42Updated 4 years ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆43Updated last year
• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆50Updated 4 years ago
• ntienvu / KnownOptimum_BO
  Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization
  ☆15Updated 2 years ago
• aryandeshwal / HyBO
  ☆23Updated 2 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆74Updated 5 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 7 years ago
• zi-w / Ensemble-Bayesian-Optimization
  Code repository for Ensemble Bayesian Optimization
  ☆55Updated 6 years ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated last year
• georgedeath / egreedy
  Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation
  ☆10Updated 4 years ago
• secondmind-labs / markovflow
  A Tensorflow based library for Time Series Modelling with Gaussian Processes
  ☆32Updated last year
• uber-research / TuRBO
  ☆214Updated last year
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆56Updated last year
• anfelopera / lineqGPR
  Gaussian processes regression models with linear inequality constraints
  ☆15Updated last year
• thangbui / sparseGP_powerEP
  Unifying sparse approximations for Gaussian process regression and classification, using Power EP
  ☆22Updated 9 years ago
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆50Updated 2 years ago
• xingchenwan / Casmopolitan
  [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
  ☆31Updated 2 years ago
• ltiao / bore
  Bayesian Optimization with Density-Ratio Estimation
  ☆24Updated 2 years ago
• TyXe-BDL / TyXe
  ☆155Updated 3 years ago
• MachineLearningLifeScience / hdbo_benchmark
  Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"
  ☆15Updated 9 months ago
• benmltu / JES
  Joint entropy search
  ☆20Updated 3 years ago
• pmorenoz / ContinualGP
  Continual Gaussian Processes
  ☆31Updated 2 years ago
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆184Updated 6 months ago
• google-research / hyperbo
  Pre-trained Gaussian processes for Bayesian optimization
  ☆97Updated 7 months ago
• LamNgo1 / cma-meta-algorithm
  [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
  ☆19Updated 4 months ago
• facebookresearch / robust_mobo
  Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"
  ☆56Updated 3 years ago