Alternatives and similar repositories for Design-Editing-for-Offline-MBO:

Users that are interested in Design-Editing-for-Offline-MBO are comparing it to the libraries listed below

• mila-iqia / Awesome-Offline-Model-Based-Optimization
  📰 Must-Read Papers on Offline Model-Based Optimization 🔥
  ☆22Updated last month
• xinyangATK / GenHutch-plus-plus
  The official implementation of "Optimal Stochastic Trace Estimation in Generative Modeling (AISTATS 2025)"
  ☆19Updated last month
• StevenYuan666 / Awesome-Diffusion-Models-for-NLP
  📰 Must-read papers on Diffusion Models for Text Generation 🔥
  ☆14Updated 10 months ago
• lamda-bbo / offline-moo
  Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".
  ☆19Updated 6 months ago
• kaist-silab / design-baselines-fixes
  Baselines for Model-Based Optimization installation fixes and compatible with newer AMPERE+ GPUs (e.g. 3090)
  ☆11Updated last year
• siddarthk97 / bonet
  ☆11Updated 2 years ago
• franciscovargas / denoising_diffusion_samplers
  ☆16Updated last year
• siddarthk97 / ddom
  ☆29Updated last year
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆57Updated last year
• GGchen1997 / BDI
  This repository is the official implementation of Bidirectional Learning for Offline Infinite-width Model-based Optimization (NeurIPS 202…
  ☆15Updated 2 years ago
• machinelearningnuremberg / FSBO
  [ICLR 2021] Few Shot Bayesian Optimization
  ☆19Updated 2 years ago
• mila-iqia / ParetoFlow
  [ICLR 2025] Official Implementation of ParetoFlow: Guided Flows in Multi-Objective Optimization🧬🧬🧬
  ☆14Updated last month
• brandontrabucco / design-bench
  Benchmarks for Model-Based Optimization
  ☆91Updated last year
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆21Updated last year
• d-tiapkin / gflownet-rl
  Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)
  ☆34Updated last year
• namkoong-lab / dro
  A package of distributionally robust optimization (DRO) methods. Implemented via cvxpy and PyTorch
  ☆75Updated last week
• dbsxodud-11 / ls_gfn
  Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)
  ☆17Updated 2 months ago
• zdhNarsil / Awesome-GFlowNets
  A curated list of resources about generative flow networks (GFlowNets).
  ☆458Updated 6 months ago
• xinyangATK / GraphBetaDiffusion
  The official implementation of "Advancing Graph Generation Through Beta Diffusion (ICLR 2025)"
  ☆19Updated 3 weeks ago
• maxwshen / gflownet
  ☆15Updated last year
• WeiHuang05 / Awesome-Feature-Learning-in-Deep-Learning-Thoery
  Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…
  ☆179Updated 4 months ago
• anpwu / Causal4Application
  ☆23Updated 3 years ago
• thu-ml / CEP-energy-guided-diffusion
  Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction
  ☆30Updated last year
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆30Updated 4 months ago
• beanie00 / Decision-ConvFormer
  [ICLR 2024 Spotlight] Code for the paper "Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making"
  ☆12Updated last year
• LeoIV / bounce
  Code for the paper "Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces"
  ☆11Updated 11 months ago
• GFNOrg / torchgfn
  A modular, easy to extend GFlowNet library
  ☆261Updated this week
• WeiHuang05 / Awesome_Large_Foundation_Model_Theory
  Welcome to the 'In Context Learning Theory' Reading Group
  ☆27Updated 5 months ago
• Tikquuss / GflowNets_Tutorial
  GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…
  ☆85Updated 2 years ago
• dbsxodud-11 / GTG
  Official Code for Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization (NIPS 2024)
  ☆14Updated 8 months ago