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
  ☆61Updated last year
• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆46Updated 4 years ago
• rubinxin / CoCaBO_code
  Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)
  ☆51Updated 6 years ago
• ntienvu / KnownOptimum_BO
  Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization
  ☆15Updated 2 years ago
• anfelopera / lineqGPR
  Gaussian processes regression models with linear inequality constraints
  ☆15Updated last year
• aryandeshwal / HyBO
  ☆23Updated 2 years ago
• shalijiang / bo
  code for BINOCULARS and Multi-Step BO
  ☆12Updated 4 years ago
• georgedeath / egreedy
  Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation
  ☆10Updated 4 years ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆43Updated 4 years ago
• pmorenoz / HetMOGP
  Heterogeneous Multi-output Gaussian Processes
  ☆53Updated 5 years ago
• MachineLearningLifeScience / hdbo_benchmark
  Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"
  ☆14Updated 7 months ago
• LamNgo1 / cma-meta-algorithm
  [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
  ☆19Updated 2 months ago
• xingchenwan / Casmopolitan
  [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
  ☆30Updated 2 years ago
• IdanAchituve / GDKL
  Code that accompanies the paper Guided Deep Kernel Learning
  ☆10Updated 2 years ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆43Updated last year
• zi-w / Ensemble-Bayesian-Optimization
  Code repository for Ensemble Bayesian Optimization
  ☆54Updated 6 years ago
• ltiao / bore
  Bayesian Optimization with Density-Ratio Estimation
  ☆24Updated 2 years ago
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆66Updated last year
• tiskw / random-fourier-features
  Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
  ☆101Updated 11 months ago
• uber-research / TuRBO
  ☆206Updated last year
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆48Updated 2 years ago
• benavoli / SkewGP
  Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga
  ☆16Updated 2 months ago
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆36Updated 2 months ago
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆36Updated 2 years ago
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆176Updated 4 months ago
• sydney-machine-learning / Bayesianneuralnetworks-MCMC-tutorial
  Bayesian neural networks via MCMC: tutorial
  ☆58Updated 11 months ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 6 years ago
• TyXe-BDL / TyXe
  ☆154Updated 3 years ago
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆61Updated 3 years ago
• XZT008 / Standard-GP-is-all-you-need-for-HDBO
  Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks
  ☆15Updated 3 months ago