Alternatives and similar repositories for GPyBCM

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

• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆44Updated 3 years ago
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆82Updated 10 months ago
• yunshengtian / DGEMO
  [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations
  ☆107Updated 2 years ago
• cagrell / gp_constr
  Python model for constrained GP
  ☆25Updated 4 years ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆53Updated last year
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆63Updated 4 years ago
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆58Updated 2 years ago
• fusion-ml / OCBO
  Offline Contextual Bayesian Optimization
  ☆14Updated 2 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆52Updated 3 years ago
• hvarfner / vanilla_bo_in_highdim
  ☆29Updated 4 months ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆67Updated 2 years ago
• boschresearch / MetaBO
  Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
  ☆39Updated 5 years ago
• jejjohnson / uncertain_gps
  Exploring how to to deal with uncertain inputs with gaussian process regression models.
  ☆27Updated 4 years ago
• aryandeshwal / HyBO
  ☆23Updated 2 years ago
• uber-research / TuRBO
  ☆201Updated last year
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆237Updated last month
• 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
• benavoli / SkewGP
  Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga
  ☆15Updated 3 years ago
• wujian16 / TwoStep-BayesOpt
  NeurIPS 2019 Paper
  ☆11Updated 5 years ago
• NoemieJaquier / MaternGaBO
  This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…
  ☆20Updated last year
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆54Updated last year
• shib0li / BMBO-DARN
  Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
  ☆12Updated 3 years ago
• kirthevasank / gp-parallel-ts
  Parallelised Thompson Sampling in GPs for Bayesian Optimisation
  ☆36Updated 7 years ago
• DecodEPFL / HamiltonianNet
  PyTorch implementation of Hamiltonian deep neural networks.
  ☆20Updated 3 years ago
• a5a / asynchronous-BO
  Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"
  ☆12Updated 6 years ago
• MaximilianB2 / pc-gym
  Reinforcement learning environments for process control applications.
  ☆54Updated 3 weeks ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆41Updated 3 years ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆127Updated 9 months ago
• Yunxiang-Z / Predictive_Entropy_Search
  ☆13Updated 5 years ago