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 4 years ago
• cambridge-mlg / weighted-retraining
  ☆44Updated 3 years ago
• nataliemaus / lolbo
  ☆31Updated 3 years ago
• samuelstanton / lambo
  Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)
  ☆71Updated last year
• GFNOrg / multi-objective-gfn
  Code for "Multi-Objective GFlowNets"
  ☆16Updated 2 years ago
• facebookresearch / bo_pr
  Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
  ☆74Updated 3 years ago
• aryandeshwal / BODi
  ☆10Updated last year
• clarafy / conformal-for-design
  ☆29Updated 3 years ago
• google-research / discs
  DISCS: The code base for the Benchmark for Discrete Sampling
  ☆62Updated last year
• tung-nd / ExPT
  ☆18Updated last year
• pascalnotin / uncertainty_guided_optimization
  Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Mi…
  ☆30Updated 2 years ago
• boschresearch / MetaBO
  Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
  ☆41Updated 5 years ago
• take-koshizuka / NLSB
  ☆20Updated 9 months ago
• sungsoo-ahn / genetic-expert-guided-learning
  ☆33Updated 4 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…
  ☆19Updated last year
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆64Updated 3 years ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆34Updated last month
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆43Updated 4 years ago
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 3 years ago
• saleml / continuous-gfn
  ☆27Updated 2 years ago
• brandontrabucco / design-bench
  Benchmarks for Model-Based Optimization
  ☆95Updated last year
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆28Updated 3 years ago
• MachineLearningLifeScience / hdbo_benchmark
  Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"
  ☆14Updated 8 months ago
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆52Updated 7 months ago
• gbouritsas / PnC
  Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952
  ☆35Updated 4 years ago
• ibm-research-tokyo / graph_grammar
  Code for "Molecular Hypergraph Grammar with Its Application to Molecular Optimization"
  ☆39Updated 10 months ago
• maxwshen / gflownet
  ☆19Updated 2 years ago
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆25Updated 2 years ago
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆139Updated 3 years ago
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated last year