Alternatives and similar repositories for BBO

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

• belakaria / MESMO
  Python implementation of the Max-value Entropy Search for Multi-Objective Bayesian Optimization method
  ☆27Updated 4 months ago
• lamda-bbo / MCTS-VS
  Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"
  ☆42Updated 2 years ago
• zi-w / Structural-Kernel-Learning-for-HDBBO
  Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
  ☆15Updated 6 years ago
• ryojitanabe / reproblems
  A set of real-world multi-objective optimization problems
  ☆56Updated 4 years ago
• Xi-L / PSL-MOBO
  ☆35Updated 2 years ago
• VITA-Group / Open-L2O
  Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
  ☆290Updated 2 years ago
• MasashiSode / MOBO
  constrained/unconstrained multi-objective bayesian optimization package.
  ☆47Updated 3 years ago
• yunshengtian / DGEMO
  [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations
  ☆108Updated 2 years ago
• AlgTUDelft / ExpensiveOptimBenchmark
  Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
  ☆27Updated 4 months ago
• uber-research / TuRBO
  ☆214Updated last year
• Evolutionary-Intelligence / EvolutionaryComputation-A-Modern-Perspective-ECAMP
  Evolutionary Computation: A Modern Perspective |<...>| This is an online book, which is free-access and actively-updated (1st Edition: fr…
  ☆58Updated 3 months ago
• kirthevasank / mf-gp-ucb
  Multi-fidelity Gaussian Process Bandit Optimisation
  ☆39Updated 9 years ago
• Baijiong-Lin / MOML
  [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning
  ☆17Updated last year
• daizhongxiang / sto-bnts
  Official implementation for the paper "Sample-Then-Optimize Batch Neural Thompson Sampling", published at NeurIPS 2022.
  ☆10Updated 3 years ago
• Evolutionary-Intelligence / pypop
  [JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm varian…
  ☆271Updated this week
• anyoptimization / pysamoo
  ☆49Updated 2 years ago
• bhushan23 / ADMM
  Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression
  ☆157Updated 3 years ago
• VITA-Group / L2O-Training-Techniques
  [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …
  ☆29Updated 3 years ago
• unc-optimization / StochasticProximalMethods
  A collection of stochastic proximal gradient methods for composite non-convex problems.
  ☆23Updated 5 years ago
• stewy33 / Learning-to-Optimize
  An implementation of the 2016 meta-learning paper "Learning to Optimize" from the BAIR lab at Berkeley.
  ☆26Updated 4 years ago
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆50Updated 6 months ago
• EMI-Group / GMOEA
  Official implementation of GMOEA.
  ☆47Updated 5 years ago
• mikeagn / CEC2013
  2013 IEEE CEC Competition on Niching Methods for Multimodal Optimization
  ☆91Updated 4 years ago
• aryandeshwal / HyBO
  ☆23Updated 2 years ago
• BingshuiDa / AdaptiveModel-basedTransfer
  Adaptive Model-based Transfer Evolutionary Algorithm
  ☆13Updated 5 years ago
• xhchrn / MS4L2O
  ☆12Updated 2 years ago
• georgedeath / egreedy
  Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation
  ☆10Updated 4 years ago
• locuslab / DC3
  DC3: A Learning Method for Optimization with Hard Constraints
  ☆167Updated 4 years ago
• dbmptr / EPOSearch
  Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
  ☆65Updated 3 years ago
• liboyue / Network-Distributed-Algorithm
  Experiments for distributed optimization algorithms
  ☆84Updated 2 years ago