Alternatives and similar repositories for ExPT

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

• GGchen1997 / BDI
  This repository is the official implementation of Bidirectional Learning for Offline Infinite-width Model-based Optimization (NeurIPS 202…
  ☆15Updated 2 years ago
• nataliemaus / lolbo
  ☆31Updated 2 years ago
• brandontrabucco / design-bench
  Benchmarks for Model-Based Optimization
  ☆95Updated last year
• take-koshizuka / NLSB
  ☆20Updated 8 months ago
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆28Updated last year
• Tikquuss / GflowNets_Tutorial
  GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…
  ☆86Updated 2 years ago
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆27Updated last year
• olsdavis / fisher-flow
  Official implementation of Fisher-Flow Matching (NeurIPS 2024).
  ☆32Updated last year
• saleml / continuous-gfn
  ☆27Updated 2 years ago
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆25Updated 2 years ago
• maxwshen / gflownet
  ☆19Updated 2 years ago
• ling-pan / Stochastic-GFN
  ☆14Updated 2 years ago
• cambridge-mlg / weighted-retraining
  ☆44Updated 2 years ago
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 3 years 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…
  ☆30Updated 2 years ago
• GFNOrg / gfn-diffusion
  ☆33Updated 6 months ago
• mila-iqia / Awesome-Offline-Model-Based-Optimization
  📰 Must-Read Papers on Offline Model-Based Optimization 🔥
  ☆25Updated 4 months ago
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆38Updated 10 months ago
• samuelstanton / lambo
  Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)
  ☆71Updated last year
• gnobitab / ConstrainedDiffusionBridge
  ☆13Updated 2 years ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆24Updated last year
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆56Updated 2 years ago
• MJ10 / BioSeq-GFN-AL
  Code for "Biological Sequence Design with GFlowNets", 2022
  ☆74Updated 2 years ago
• cscarv / riemannian-metric-learning-ot
  ☆17Updated 2 years ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆65Updated last year
• henrymoss / BOSS
  Bayesian Optimisation for String Spaces
  ☆24Updated 4 years ago
• brandontrabucco / design-baselines
  Baselines for Model-Based Optimization
  ☆53Updated 3 years ago
• siddarthk97 / ddom
  ☆31Updated 2 years ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆84Updated 2 years ago
• andrew-cr / jump-diffusion
  ☆33Updated last year