Alternatives and similar repositories for gflownet

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

• zdhNarsil / Awesome-GFlowNets
  A curated list of resources about generative flow networks (GFlowNets).
  ☆497Updated last year
• GFNOrg / torchgfn
  A modular, easy to extend GFlowNet library
  ☆295Updated last week
• alexhernandezgarcia / gflownet
  Generative Flow Networks - GFlowNet
  ☆294Updated this week
• recursionpharma / gflownet
  GFlowNet library specialized for graph & molecular data
  ☆276Updated 5 months ago
• google-deepmind / clrs
  ☆511Updated last month
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆84Updated 2 years ago
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆350Updated 4 months ago
• mila-iqia / milatools
  Tools to connect to and interact with the Mila cluster
  ☆76Updated this week
• google-deepmind / enn
  ☆312Updated 8 months ago
• lucidrains / egnn-pytorch
  Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
  ☆508Updated 11 months ago
• jw9730 / tokengt
  [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
  ☆342Updated 2 years ago
• brandontrabucco / design-bench
  Benchmarks for Model-Based Optimization
  ☆96Updated last year
• juho-lee / set_transformer
  Pytorch implementation of set transformer
  ☆635Updated 5 years ago
• chaitjo / geometric-gnn-dojo
  Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML …
  ☆511Updated last month
• augustwester / gflownet
  A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
  ☆43Updated 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
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆93Updated 3 years ago
• vgsatorras / egnn
  ☆510Updated 3 years ago
• leopard-ai / betty
  Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
  ☆343Updated last year
• twitter-research / graph-neural-pde
  Graph Neural PDEs
  ☆336Updated 3 years ago
• twitter-research / cwn
  Message Passing Neural Networks for Simplicial and Cell Complexes
  ☆164Updated 2 years ago
• nnaisense / bayesian-flow-networks
  This is the official code release for Bayesian Flow Networks.
  ☆304Updated last year
• lucidrains / graph-transformer-pytorch
  Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2
  ☆233Updated 2 years ago
• swyoon / pytorch-energy-based-model
  Simple illustrative examples for energy-based models in PyTorch
  ☆67Updated 5 years ago
• ehoogeboom / e3_diffusion_for_molecules
  ☆539Updated 3 years ago
• cvignac / DiGress
  code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
  ☆471Updated 7 months ago
• metaopt / torchopt
  TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
  ☆618Updated 2 weeks ago
• lucidrains / equiformer-pytorch
  Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein…
  ☆277Updated 11 months ago
• awesome-tnns / awesome-tnns
  ☆177Updated 2 years ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆57Updated 2 years ago