Alternatives and similar repositories for Standard-GP-is-all-you-need-for-HDBO

Users that are interested in Standard-GP-is-all-you-need-for-HDBO are comparing it to the libraries listed below

• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆51Updated 4 years ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆65Updated last year
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆67Updated 3 years ago
• google-research / hyperbo
  Pre-trained Gaussian processes for Bayesian optimization
  ☆99Updated last week
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 8 months ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆37Updated 4 months ago
• shalijiang / bo
  code for BINOCULARS and Multi-Step BO
  ☆12Updated 5 years ago
• MachineLearningLifeScience / hdbo_benchmark
  Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"
  ☆16Updated 10 months ago
• sail-sg / stde
  Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024
  ☆126Updated last year
• benmltu / JES
  Joint entropy search
  ☆20Updated 3 years ago
• deep-symbolic-mathematics / TPSR
  [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
  ☆79Updated last year
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆108Updated last year
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆76Updated 3 years ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆42Updated 4 years ago
• LamNgo1 / cma-meta-algorithm
  [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
  ☆20Updated 6 months ago
• tennisonliu / LLAMBO
  Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"
  ☆100Updated last year
• hvarfner / vanilla_bo_in_highdim
  ☆34Updated 10 months ago
• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆76Updated 2 years ago
• benavoli / SkewGP
  Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga
  ☆16Updated 5 months ago
• PrincetonLIPS / AHGP
  [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)
  ☆23Updated 5 years ago
• uber-research / TuRBO
  ☆221Updated last year
• Bostanabad-Research-Group / GP-Plus
  Python Library for Generalized Gaussian Process Modeling
  ☆27Updated 9 months ago
• QianJaneXie / PandoraBayesOpt
  Cost-aware Bayesian optimization via the Pandora's box Gittins index
  ☆13Updated 5 months ago
• lpapenme / BAxUS
  This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…
  ☆20Updated 2 years ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆43Updated last year
• facebookresearch / symbolicregression
  SR based on LLMs.
  ☆124Updated 3 years ago
• samuelkim314 / DeepBO
  Deep Bayesian Optimization for Problems with High-Dimensional Structure
  ☆16Updated 3 years ago
• ltiao / bore
  Bayesian Optimization with Density-Ratio Estimation
  ☆24Updated 3 years ago
• aryandeshwal / HyBO
  ☆23Updated 3 years ago
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆65Updated last year