Alternatives and similar repositories for GPro

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

• jonasrothfuss / meta_learning_pacoh
  Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds
  ☆26Updated last year
• rail-berkeley / design-bench
  ☆53Updated 3 years ago
• brandontrabucco / design-baselines
  Baselines for Model-Based Optimization
  ☆55Updated 3 years ago
• johannesnauta / pytorch-pne
  PyTorch implementation of Probabilistic Network Ensembles on toy problems
  ☆23Updated 2 years ago
• AaltoPML / PPBO
  Projective Preferential Bayesian Optimization
  ☆20Updated 2 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆74Updated 5 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆37Updated 2 years ago
• OxfordML / bayesquad
  Library for Bayesian Quadrature
  ☆32Updated 6 years ago
• facebookresearch / ContextualBO
  Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"
  ☆15Updated 5 years ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆64Updated 4 years ago
• lfbo-ml / lfbo
  Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
  ☆46Updated 3 years ago
• fbickfordsmith / epig
  Bayesian active learning with EPIG data acquisition
  ☆35Updated 4 months ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆54Updated 4 years ago
• boschresearch / MetaBO
  Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
  ☆41Updated 5 years ago
• activatedgeek / svgd
  PyTorch implementation of Stein Variational Gradient Descent
  ☆47Updated 2 years ago
• facebookresearch / qEUBO
  Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023
  ☆22Updated 2 years ago
• lmzintgraf / gp_pref_elicit
  Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes
  ☆23Updated 7 years ago
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆76Updated 3 years ago
• dngfra / repulsive_ensembles
  Repo for our paper "Repulsive deep ensembles are Bayesian"
  ☆19Updated 4 years ago
• ntienvu / KnownOptimum_BO
  Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization
  ☆15Updated 2 years ago
• ltiao / bore
  Bayesian Optimization with Density-Ratio Estimation
  ☆24Updated 3 years ago
• ae-foster / dad
  Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
  ☆39Updated 4 years ago
• brandontrabucco / design-bench
  Benchmarks for Model-Based Optimization
  ☆96Updated last year
• vr308 / GPLVM
  Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch
  ☆15Updated 4 years ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆56Updated 7 years ago
• pmorenoz / ContinualGP
  Continual Gaussian Processes
  ☆31Updated 2 years ago
• eric-vader / HD-BO-Additive-Models
  Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models
  ☆11Updated last year
• tonyduan / mixture-density-network
  Mixture density network implemented in PyTorch.
  ☆152Updated 2 years ago
• jaztsong / PILCO-gpytorch
  ☆34Updated 5 years ago
• team-approx-bayes / dnn2gp
  Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)
  ☆48Updated 6 years ago