Alternatives and similar repositories for DEM

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

• martaskrt / fkc-diffusion
  ☆39Updated 5 months ago
• andrew-cr / discrete_flow_models
  Code for the paper https://arxiv.org/abs/2402.04997
  ☆98Updated last year
• andrew-cr / jump-diffusion
  ☆36Updated last year
• franciscovargas / denoising_diffusion_samplers
  ☆18Updated 2 years ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆65Updated last year
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆39Updated 11 months ago
• olsdavis / fisher-flow
  Official implementation of Fisher-Flow Matching (NeurIPS 2024).
  ☆33Updated last year
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆52Updated 7 months ago
• HannesStark / dirichlet-flow-matching
  ☆126Updated last year
• MJ10 / BioSeq-GFN-AL
  Code for "Biological Sequence Design with GFlowNets", 2022
  ☆74Updated 2 years ago
• vgsatorras / en_flows
  ☆59Updated 3 years ago
• ccr-cheng / statistical-flow-matching
  Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.
  ☆39Updated last year
• DreamFold / FoldFlow
  FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation
  ☆266Updated 11 months ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆116Updated last year
• vsomnath / aligned_diffusion_bridges
  Aligned Diffusion Schroedinger Bridges (UAI 2023)
  ☆33Updated 2 years ago
• jasonkyuyim / multiflow
  ☆201Updated last year
• GFNOrg / gfn-diffusion
  ☆34Updated 7 months ago
• blt2114 / twisted_diffusion_sampler
  Practically and asymptotically accurate conditional sampling from diffusion generative models without conditional training
  ☆45Updated 11 months ago
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆139Updated 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
• necludov / jam
  Implementation of Action Matching
  ☆48Updated 2 years ago
• masa-ue / SVDD
  Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding. For controlled generation in DNA, RNA, proteins, molecules (…
  ☆34Updated last year
• take-koshizuka / NLSB
  ☆20Updated 9 months ago
• noegroup / bgflow
  Boltzmann Generators and Normalizing Flows in PyTorch
  ☆182Updated last year
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆70Updated 8 months ago
• hnisonoff / discrete_guidance
  Code for our paper "Unlocking Guidance for Discrete State-Space Diffusion and Flow Models"
  ☆29Updated 7 months ago
• recursionpharma / gflownet
  GFlowNet library specialized for graph & molecular data
  ☆276Updated 5 months ago
• LarsHoldijk / SOCTransitionPaths
  ☆34Updated 3 years ago
• facebookresearch / adjoint_sampling
  code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"
  ☆126Updated 3 months ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆269Updated last year