Alternatives and similar repositories for gibo

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

• fusion-ml / OCBO
  Offline Contextual Bayesian Optimization
  ☆14Updated last year
• 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
• facebookresearch / ContextualBO
  Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"
  ☆15Updated 4 years ago
• rail-berkeley / design-bench
  ☆50Updated 3 years ago
• xingchenwan / Casmopolitan
  [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
  ☆30Updated 2 years ago
• ltiao / bore
  Bayesian Optimization with Density-Ratio Estimation
  ☆24Updated 2 years ago
• lamda-bbo / offline-moo
  Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".
  ☆21Updated last month
• ntienvu / KnownOptimum_BO
  Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization
  ☆15Updated 2 years ago
• hvarfner / vanilla_bo_in_highdim
  ☆29Updated 4 months ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆30Updated last year
• EvoConJP / CMA-ES_with_Margin
  (GECCO 2022) CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization
  ☆30Updated last year
• jparkerholder / ASEBO
  Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …
  ☆16Updated 4 years ago
• tedmoskovitz / WNPG
  implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies
  ☆11Updated 4 years ago
• boschresearch / MetaBO
  Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
  ☆38Updated 5 years ago
• sebascuri / hucrl
  ☆30Updated last year
• siddarthk97 / bonet
  ☆11Updated 2 years ago
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆73Updated 2 years ago
• aryandeshwal / HyBO
  ☆23Updated 2 years ago
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆34Updated 2 weeks ago
• shalijiang / bo
  code for BINOCULARS and Multi-Step BO
  ☆12Updated 4 years ago
• wujian16 / TwoStep-BayesOpt
  NeurIPS 2019 Paper
  ☆11Updated 5 years ago
• lamda-bbo / MCTS-VS
  Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"
  ☆41Updated 2 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆55Updated 2 years ago
• rail-berkeley / design-baselines
  ☆24Updated 3 years ago
• LeoIV / bounce
  Code for the paper "Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces"
  ☆11Updated last year
• aryandeshwal / BODi
  ☆9Updated last year
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆53Updated last year
• albertometelli / wql
  ☆9Updated 5 years ago
• yunshengtian / DGEMO
  [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations
  ☆107Updated 2 years ago
• cagatayyildiz / oderl
  Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
  ☆54Updated last year