Alternatives and similar repositories for particle-guidance

Users that are interested in particle-guidance are comparing it to the libraries listed below

• necludov / super-diffusion
  The Superposition of Diffusion Models Using the Itô Density Estimator
  ☆51Updated 7 months ago
• masa-ue / AlignInversePro
  Inference-Time Alignment in Protein Diffusion Models
  ☆45Updated 9 months ago
• kuleshov-group / discrete-diffusion-guidance
  Simple Guidance Mechanisms for Discrete Diffusion Models
  ☆57Updated 11 months ago
• microsoft / soc-fine-tuning-sd
  Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching
  ☆48Updated 5 months 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
• zacharyhorvitz / Fk-Diffusion-Steering
  A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.
  ☆194Updated 4 months ago
• HannesStark / dirichlet-flow-matching
  ☆126Updated last year
• liusulin / DDPD
  Official Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising" [ICLR 2025]
  ☆82Updated 6 months ago
• yilundu / reduce_reuse_recycle
  ICML 2023: Reduce, Reuse, Recycle: Composing Energy-Based Diffusion Models with MCMC
  ☆146Updated last year
• lazaratan / meta-flow-matching
  Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
  ☆67Updated 8 months ago
• vsomnath / aligned_diffusion_bridges
  Aligned Diffusion Schroedinger Bridges (UAI 2023)
  ☆33Updated 2 years ago
• martaskrt / fkc-diffusion
  ☆39Updated 4 months 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
• Newbeeer / stf
  Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”
  ☆76Updated 2 years ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆40Updated last year
• jw9730 / lps
  [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
  ☆30Updated last year
• gcorso / disco-diffdock
  Code for the paper DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents, ICML 2024
  ☆91Updated last year
• andrew-cr / discrete_flow_models
  Code for the paper https://arxiv.org/abs/2402.04997
  ☆98Updated last year
• ML-GSAI / BFN-Solver
  Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"
  ☆41Updated last year
• marcojira / fld
  PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
  ☆59Updated last year
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆81Updated last year
• bjing2016 / subspace-diffusion
  Improved diffusion generative models with subspaces
  ☆135Updated 3 years ago
• KingJamesSong / PDETraversal
  ICML23 "Latent Traversals in Generative Models as Potential Flows"
  ☆26Updated 2 years ago
• DoronHav / WassersteinFlowMatching
  ☆34Updated 3 months ago
• stepelu / idbm-pytorch
  ☆13Updated 2 years ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆116Updated last year
• gnobitab / ConstrainedDiffusionBridge
  ☆14Updated 2 years ago
• ChenyuWang-Monica / DRAKES
  Code for paper: "Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design"
  ☆62Updated 6 months ago
• ehoogeboom / multinomial_diffusion
  ☆229Updated 2 years ago
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆70Updated 8 months ago