Alternatives and similar repositories for functional_diffusion

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

• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆62Updated 2 months ago
• malbergo / stochastic-interpolants
  ☆146Updated last year
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆110Updated last year
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆80Updated 10 months ago
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆69Updated last year
• necludov / jam
  Implementation of Action Matching
  ☆44Updated 2 years ago
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆158Updated 3 months ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆84Updated 3 years ago
• lim0606 / ddo
  Official codebase for "Score-based Diffusion Models in Function Space"
  ☆12Updated 4 months ago
• vdeborto / cdsb
  ☆23Updated 2 years ago
• sony / fp-diffusion
  ☆27Updated last year
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆52Updated 2 years ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆50Updated 2 years ago
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆25Updated last year
• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆70Updated 2 years 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
• sbyebss / variational_wgf
  [ICML2022] Variational Wasserstein gradient flow
  ☆22Updated 2 years ago
• noamroze / moser_flow
  ☆17Updated 3 years ago
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆48Updated this week
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆35Updated 9 months ago
• Wenlin-Chen / DiGS
  Official PyTorch implementation of Diffusive Gibbs Sampler (DiGS), proposed in the paper Diffusive Gibbs Sampling (published at ICML 2024…
  ☆10Updated 9 months ago
• take-koshizuka / NLSB
  ☆19Updated 4 months ago
• DoronHav / WassersteinFlowMatching
  ☆28Updated last week
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆45Updated 4 months ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆32Updated 3 years ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆38Updated 2 years ago
• neuraloperator / DSNO
  ☆27Updated last year
• shreyaspadhy / CMCD
  Implementing Controlled Monte Carlo Diffusions (ICLR 2024)
  ☆16Updated 8 months ago
• computational-imaging / GraphPDE
  ☆51Updated 2 years ago
• annegnx / PnP-Flow
  Code for PnP-Flow: Plug-and-Play image restoration with Flow Matching (ICLR 2025)
  ☆82Updated 3 months ago