Alternatives and similar repositories for LADDER:

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

• henrymoss / BOSS
  Bayesian Optimisation for String Spaces
  ☆24Updated 3 years ago
• cambridge-mlg / weighted-retraining
  ☆43Updated 2 years ago
• nataliemaus / lolbo
  ☆27Updated 2 years ago
• LeoIV / BAxUS
  This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…
  ☆16Updated last year
• GFNOrg / multi-objective-gfn
  Code for "Multi-Objective GFlowNets"
  ☆13Updated last year
• samuelstanton / lambo
  Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)
  ☆68Updated 10 months ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆26Updated last year
• saleml / continuous-gfn
  ☆24Updated last year
• lfbo-ml / lfbo
  Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
  ☆44Updated 2 years ago
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆72Updated 2 years ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆27Updated 2 years ago
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆54Updated 2 years ago
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆20Updated last year
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆48Updated 10 months ago
• pascalnotin / uncertainty_guided_optimization
  Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Mi…
  ☆31Updated last year
• sungsoo-ahn / genetic-expert-guided-learning
  ☆34Updated 3 years ago
• Tikquuss / GflowNets_Tutorial
  GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…
  ☆85Updated 2 years ago
• brandontrabucco / design-baselines
  Baselines for Model-Based Optimization
  ☆52Updated 3 years ago
• aryandeshwal / HyBO
  ☆23Updated 2 years ago
• siddarthk97 / bonet
  ☆11Updated 2 years ago
• aryandeshwal / BODi
  ☆8Updated last year
• wiseodd / lapeft-bayesopt
  Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.
  ☆17Updated 8 months ago
• brandontrabucco / design-bench
  Benchmarks for Model-Based Optimization
  ☆91Updated 11 months ago
• tung-nd / ExPT
  ☆16Updated last year
• google-research / discs
  DISCS: The code base for the Benchmark for Discrete Sampling
  ☆54Updated 7 months ago
• clarafy / conformal-for-design
  ☆30Updated 2 years ago
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆49Updated last month
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆48Updated last week
• WayneDW / Contour-Stochastic-Gradient-Langevin-Dynamics
  An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
  ☆40Updated 2 years ago
• ibm-research-tokyo / graph_grammar
  Code for "Molecular Hypergraph Grammar with Its Application to Molecular Optimization"
  ☆39Updated 3 months ago