Alternatives and similar repositories for bayesian-optimization-in-action

Users that are interested in bayesian-optimization-in-action are comparing it to the libraries listed below

• Apress / Bayesian-optimization
  Source Code for 'Bayesian Optimization' by Peng Liu
  ☆29Updated 2 years ago
• wangronin / Bayesian-Optimization
  Bayesian Optimization algorithms with various recent improvements
  ☆99Updated last year
• sydney-machine-learning / Bayesianneuralnetworks-MCMC-tutorial
  Bayesian neural networks via MCMC: tutorial
  ☆55Updated 7 months ago
• XZT008 / Standard-GP-is-all-you-need-for-HDBO
  Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks
  ☆11Updated last month
• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆74Updated 2 years ago
• hvarfner / vanilla_bo_in_highdim
  ☆28Updated 3 months ago
• martinjankowiak / saasbo
  SAASBO: a package for high-dimensional bayesian optimization
  ☆42Updated 3 years ago
• benmltu / JES
  Joint entropy search
  ☆19Updated 2 years ago
• MLDS-NUS / KoopmanDL
  Learning Koopman operator by EDMD with trainable dictionary
  ☆25Updated 2 years ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆51Updated last year
• shib0li / DNN-MFBO
  Multi-fidelity Bayesian Optimization via Deep Neural Nets
  ☆30Updated 4 years ago
• AILWQ / DySymNet
  [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…
  ☆19Updated 5 months ago
• MaximilianB2 / pc-gym
  Reinforcement learning environments for process control applications.
  ☆52Updated 3 months ago
• ppgaluzio / MOBOpt
  Multi-objective Bayesian optimization
  ☆89Updated 2 years ago
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆40Updated 4 years ago
• yunshengtian / DGEMO
  [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations
  ☆106Updated 2 years ago
• samuelkim314 / DeepBO
  Deep Bayesian Optimization for Problems with High-Dimensional Structure
  ☆16Updated 2 years ago
• long-da / A-United-Framework-to-Integrate-Physics-into-Gaussian-Processes
  ☆11Updated 2 years ago
• ilijabogunovic / Robust-BO
  List of papers on robust Bayesian optimization
  ☆17Updated 3 years ago
• deep-symbolic-mathematics / TPSR
  [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
  ☆69Updated 7 months ago
• LamNgo1 / cma-meta-algorithm
  [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
  ☆18Updated 5 months ago
• TyXe-BDL / TyXe
  ☆153Updated 2 years ago
• YuntianChen / SGA-PDE
  Symbolic genetic algorithm for discovering open-form partial differential equations
  ☆39Updated 2 years ago
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆174Updated last year
• PULSE-ML / MOMFBO-Algorithm
  A Multi-objective Multi-fidelity acquisition function for Bayesian optimization based on EHVI method.
  ☆10Updated 3 years ago
• AlgTUDelft / ExpensiveOptimBenchmark
  Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
  ☆25Updated 6 months ago
• rosenyu304 / BOEngineeringBenchmark
  ☆11Updated 6 months ago
• AudOlivier / UQ_in_ML
  ☆10Updated 3 years ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆54Updated 10 months ago
• CoRiis / active-learning-fbgp
  Bayesian Active Learning with Fully Bayesian Gaussian Processes
  ☆13Updated 2 years ago