Alternatives and similar repositories for lps

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

• gcorso / particle-guidance
  Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
  ☆71Updated 2 years ago
• saleml / continuous-gfn
  ☆27Updated 2 years ago
• necludov / super-diffusion
  The Superposition of Diffusion Models Using the Itô Density Estimator
  ☆51Updated 8 months ago
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆41Updated last year
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆116Updated last year
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆40Updated last year
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆83Updated last year
• gnobitab / ConstrainedDiffusionBridge
  ☆14Updated 2 years ago
• DoronHav / WassersteinFlowMatching
  ☆34Updated 3 months ago
• lazaratan / meta-flow-matching
  Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
  ☆66Updated 8 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
• harryjo97 / riemannian-diffusion-mixture
  Official Code Repository for the paper "Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes" (ICML 2024).
  ☆14Updated last year
• masa-ue / AlignInversePro
  Inference-Time Alignment in Protein Diffusion Models
  ☆47Updated 10 months ago
• CameronDiao / relational-transformer
  ☆34Updated 2 years ago
• microsoft / soc-fine-tuning-sd
  Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching
  ☆51Updated 5 months ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆269Updated last year
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆82Updated last year
• HannesStark / dirichlet-flow-matching
  ☆126Updated last year
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆108Updated last month
• ccr-cheng / statistical-flow-matching
  Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.
  ☆39Updated last year
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆65Updated last year
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆91Updated last year
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆70Updated 2 years ago
• liusulin / DDPD
  Official Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising" [ICLR 2025]
  ☆82Updated 6 months ago
• GFNOrg / gfn-diffusion
  ☆34Updated 7 months ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year
• mlvlab / CoBO
  Official PyTorch Implementation for Advancing Bayesian Optimization via Learning Correlated Latent Space (CoBO)
  ☆18Updated 6 months ago
• maxxxzdn / implicit-steerable-kernels
  Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]
  ☆29Updated 8 months ago
• qsh-zh / gDDIM
  [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic
  ☆49Updated 2 years ago
• facebookresearch / adjoint_sampling
  code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"
  ☆125Updated 3 months ago