Alternatives and similar repositories for offline-moo

Users that are interested in offline-moo are comparing it to the libraries listed below

• siddarthk97 / bonet
  ☆12Updated 2 years ago
• kaist-silab / design-baselines-fixes
  Baselines for Model-Based Optimization installation fixes and compatible with newer AMPERE+ GPUs (e.g. 3090)
  ☆11Updated 2 years ago
• mila-iqia / Awesome-Offline-Model-Based-Optimization
  📰 Must-Read Papers on Offline Model-Based Optimization 🔥
  ☆24Updated last month
• dbsxodud-11 / ls_gfn
  Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)
  ☆20Updated 5 months ago
• brandontrabucco / design-bench
  Benchmarks for Model-Based Optimization
  ☆94Updated 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…
  ☆19Updated last year
• machinelearningnuremberg / FSBO
  [ICLR 2021] Few Shot Bayesian Optimization
  ☆20Updated 2 years ago
• GFNOrg / torchgfn
  A modular, easy to extend GFlowNet library
  ☆283Updated this week
• rail-berkeley / design-bench
  ☆50Updated 3 years ago
• tristandeleu / gfn-maxent-rl
  Comparison between GFlowNets & Maximum Entropy RL
  ☆19Updated last year
• maxwshen / gflownet
  ☆18Updated 2 years ago
• sarmueller / gibo
  This repository contains the code for the paper "Local policy search with Bayesian optimization".
  ☆15Updated 2 years ago
• yunglau / QGFN
  QGFN: Controllable Greediness with Action Values - Code
  ☆10Updated last year
• xingchenwan / Casmopolitan
  [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
  ☆30Updated 2 years ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆67Updated 2 years ago
• instadeepai / memento
  Official Implementation of Memento
  ☆18Updated 8 months ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆31Updated last year
• maxencefaldor / learned-qd
  Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization
  ☆16Updated 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"
  ☆41Updated 2 years ago
• d-tiapkin / gflownet-rl
  Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)
  ☆34Updated last year
• ml-jku / DIffUCO
  ☆52Updated last month
• machinelearningnuremberg / HPO-B
  [NeurIPS DBT 2021] HPO-B
  ☆35Updated last week
• NREL / graph-env
  Reinforcement learning for combinatorial optimization over directed graphs
  ☆40Updated 2 years ago
• alexhernandezgarcia / gflownet
  Generative Flow Networks - GFlowNet
  ☆267Updated 3 weeks ago
• cor3bit / bertsekas-marl
  PyTorch Implementation of the Sequential Multiagent Rollout algorithm
  ☆11Updated last year
• pinghsieh / FSAF
  ☆10Updated 3 years ago
• Edward-Sun / DIFUSCO
  Code of NeurIPS paper: arxiv.org/abs/2302.08224
  ☆214Updated 10 months ago
• instadeepai / compass
  COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search
  ☆40Updated last year
• brandontrabucco / design-baselines
  Baselines for Model-Based Optimization
  ☆53Updated 3 years ago
• MetaEvo / MetaBox
  MetaBox: Benchmarking Platform for Meta-Black-Box Optimization
  ☆140Updated 2 weeks ago