Alternatives and similar repositories for torchebm

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

• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆109Updated 2 months ago
• facebookresearch / adjoint_sampling
  code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"
  ☆128Updated 4 months ago
• necludov / super-diffusion
  The Superposition of Diffusion Models Using the Itô Density Estimator
  ☆51Updated 9 months ago
• lucidrains / gotennet-pytorch
  Unofficial implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch
  ☆68Updated 8 months ago
• lazaratan / meta-flow-matching
  Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
  ☆69Updated 9 months ago
• smsharma / minified-generative-models
  Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…
  ☆140Updated 2 years ago
• HannesStark / dirichlet-flow-matching
  ☆126Updated last year
• DoronHav / WassersteinFlowMatching
  ☆35Updated this week
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆54Updated 8 months ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆277Updated last year
• martaskrt / fkc-diffusion
  ☆41Updated 6 months ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆66Updated last year
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆67Updated 8 months ago
• andrew-cr / discrete_flow_models
  Code for the paper https://arxiv.org/abs/2402.04997
  ☆101Updated last year
• gcorso / particle-guidance
  Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
  ☆73Updated 2 years ago
• olsdavis / fisher-flow
  Official implementation of Fisher-Flow Matching (NeurIPS 2024).
  ☆34Updated last year
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆89Updated last year
• andrew-cr / jump-diffusion
  ☆37Updated last year
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆70Updated 9 months ago
• maxxxzdn / clifford-group-equivariant-cnns
  Clifford-Steerable Convolutional Neural Networks [ICML'24]
  ☆51Updated 7 months ago
• malbergo / leaps
  ☆16Updated 7 months ago
• necludov / jam
  Implementation of Action Matching
  ☆49Updated 2 years ago
• ml-jku / LaM-SLidE
  Code for the paper LaM-SLidE - Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
  ☆25Updated 6 months ago
• GFNOrg / gfn-diffusion
  ☆35Updated 8 months ago
• nZhangx / TrajectoryFlowMatching
  Code repository for Trajectory Flow Matching
  ☆94Updated last year
• facebookresearch / flowmm
  Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Langu…
  ☆170Updated last year
• lucidrains / frame-averaging-pytorch
  Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network
  ☆51Updated last year
• microsoft / two-for-one-diffusion
  This Denoising Force Field (DFF) codebase provides a Pytorch framework for the method presented in Two for one: Diffusion models and forc…
  ☆66Updated last year
• kuleshov-group / discrete-diffusion-guidance
  Simple Guidance Mechanisms for Discrete Diffusion Models
  ☆64Updated last year
• DreamFold / FoldFlow
  FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation
  ☆271Updated last year