Alternatives and similar repositories for PDETraversal

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

• bjing2016 / subspace-diffusion
  Improved diffusion generative models with subspaces
  ☆133Updated 3 years ago
• gcorso / particle-guidance
  Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
  ☆69Updated last year
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆35Updated 7 months ago
• nv-tlabs / GENIE
  GENIE: Higher-Order Denoising Diffusion Solvers
  ☆95Updated last year
• maxxxzdn / implicit-steerable-kernels
  Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]
  ☆29Updated 3 months ago
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆69Updated last year
• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆70Updated 2 years ago
• andrew-cr / tauLDR
  Code for the paper https://arxiv.org/abs/2205.14987v2
  ☆50Updated last year
• necludov / super-diffusion
  The Superposition of Diffusion Models Using the Itô Density Estimator
  ☆45Updated 2 months ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆24Updated last year
• marcojira / fld
  PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
  ☆51Updated 7 months ago
• stepelu / idbm-pytorch
  ☆13Updated last year
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆110Updated last year
• Newbeeer / stf
  Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”
  ☆76Updated 2 years ago
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆53Updated 3 weeks ago
• vsomnath / aligned_diffusion_bridges
  Aligned Diffusion Schroedinger Bridges (UAI 2023)
  ☆32Updated last year
• microsoft / soc-fine-tuning-sd
  Reward fine-tuning for Stable Diffusion models based on stochastic optimal control
  ☆36Updated last week
• andrew-cr / discrete_flow_models
  Code for the paper https://arxiv.org/abs/2402.04997
  ☆78Updated last year
• gnobitab / ConstrainedDiffusionBridge
  ☆12Updated 2 years ago
• qsh-zh / gDDIM
  [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic
  ☆49Updated last year
• kuleshov-group / discrete-diffusion-guidance
  Simple Guidance Mechanisms for Discrete Diffusion Models
  ☆39Updated 5 months ago
• didriknielsen / argmax_flows
  Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"
  ☆86Updated 4 years ago
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆82Updated last year
• HannesStark / dirichlet-flow-matching
  ☆109Updated last year
• necludov / jam
  Implementation of Action Matching
  ☆44Updated 2 years ago
• lazaratan / meta-flow-matching
  Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
  ☆55Updated 3 months ago
• masa-ue / SVDD
  Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding. For controlled generation in DNA, RNA, proteins, molecules (…
  ☆31Updated 8 months ago
• DoronHav / WassersteinFlowMatching
  ☆28Updated last week
• enkeejunior1 / Diffusion-Pullback
  Official Implementation of understanding the latent space of diffusion models through the lens of riemannian geometry (NeurIPS 2023)
  ☆86Updated last year
• take-koshizuka / NLSB
  ☆19Updated 4 months ago