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…
  ☆14Updated 2 years ago
• take-koshizuka / NLSB
  ☆21Updated 10 months ago
• nataliemaus / lolbo
  ☆32Updated 3 years ago
• brandontrabucco / design-bench
  Benchmarks for Model-Based Optimization
  ☆96Updated last year
• maxwshen / gflownet
  ☆19Updated 2 years ago
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆27Updated last year
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆25Updated 2 years ago
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆27Updated 2 years ago
• saleml / continuous-gfn
  ☆27Updated 2 years ago
• GFNOrg / gfn-diffusion
  ☆35Updated 8 months ago
• olsdavis / fisher-flow
  Official implementation of Fisher-Flow Matching (NeurIPS 2024).
  ☆33Updated last year
• AndyShih12 / mac
  PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Pa…
  ☆15Updated 2 years ago
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆39Updated 11 months ago
• siddarthk97 / ddom
  ☆32Updated 2 years ago
• gnobitab / ConstrainedDiffusionBridge
  ☆14Updated 2 years ago
• Tikquuss / GflowNets_Tutorial
  GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…
  ☆86Updated 2 years ago
• ling-pan / Stochastic-GFN
  ☆14Updated 2 years ago
• DoronHav / WassersteinFlowMatching
  ☆34Updated 3 months ago
• cambridge-mlg / weighted-retraining
  ☆44Updated 3 years ago
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 3 years ago
• siddarthk97 / bonet
  ☆14Updated 3 years ago
• bunnech / condot
  Supervised Training of Conditional Monge Maps
  ☆19Updated 2 years ago
• brandontrabucco / design-baselines
  Baselines for Model-Based Optimization
  ☆54Updated 3 years ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆26Updated last year
• mila-iqia / Awesome-Offline-Model-Based-Optimization
  📰 Must-Read Papers on Offline Model-Based Optimization 🔥
  ☆27Updated 5 months ago
• martaskrt / fkc-diffusion
  ☆40Updated 5 months ago
• bunnech / jkonet
  Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)
  ☆22Updated 2 years ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆66Updated last year
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆85Updated 2 years ago
• samuelstanton / lambo
  Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)
  ☆72Updated last year