Alternatives and similar repositories for Awesome-GFlowNets:

Users that are interested in Awesome-GFlowNets are comparing it to the libraries listed below

• GFNOrg / torchgfn
  A modular, easy to extend GFlowNet library
  ☆259Updated this week
• alexhernandezgarcia / gflownet
  Generative Flow Networks - GFlowNet
  ☆237Updated this week
• recursionpharma / gflownet
  GFlowNet library specialized for graph & molecular data
  ☆232Updated 2 weeks ago
• GFNOrg / gflownet
  Generative Flow Networks
  ☆625Updated 2 years ago
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆288Updated last year
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆82Updated 2 years ago
• kuleshov-group / awesome-discrete-diffusion-models
  A curated list for awesome discrete diffusion models resources.
  ☆263Updated last month
• Tikquuss / GflowNets_Tutorial
  GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…
  ☆85Updated 2 years ago
• cvignac / DiGress
  code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
  ☆403Updated 3 weeks ago
• nnaisense / bayesian-flow-networks
  This is the official code release for Bayesian Flow Networks.
  ☆272Updated 8 months ago
• GFNOrg / gfn-lm-tuning
  ☆172Updated last year
• ehoogeboom / e3_diffusion_for_molecules
  ☆476Updated 2 years ago
• google-deepmind / clrs
  ☆472Updated last month
• augustwester / gflownet
  A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
  ☆42Updated last year
• brandontrabucco / design-bench
  Benchmarks for Model-Based Optimization
  ☆88Updated 10 months ago
• vgsatorras / egnn
  ☆462Updated 3 years ago
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆47Updated last month
• louaaron / Score-Entropy-Discrete-Diffusion
  [ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
  ☆522Updated last year
• kuleshov-group / mdlm
  Simple and Effective Masked Diffusion Language Model
  ☆335Updated 2 weeks ago
• mila-iqia / milatools
  Tools to connect to and interact with the Mila cluster
  ☆69Updated 3 weeks ago
• swyoon / pytorch-energy-based-model
  Simple illustrative examples for energy-based models in PyTorch
  ☆62Updated 5 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆84Updated 2 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 …
  ☆489Updated 9 months ago
• atomicarchitects / equiformer
  [ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
  ☆233Updated last month
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆205Updated last year
• masa-ue / RLfinetuning_Diffusion_Bioseq
  Code for the tutorial/review paper for RL-based-fine-tuniing. In this code, we especially focus on the design of biological sequences li…
  ☆111Updated 6 months ago
• dbsxodud-11 / ls_gfn
  Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)
  ☆16Updated 3 weeks ago
• metaopt / torchopt
  TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
  ☆574Updated 2 weeks ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆77Updated 7 months ago
• MinkaiXu / GeoDiff
  Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
  ☆351Updated last year