Alternatives and similar repositories for functional_diffusion

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

• malbergo / stochastic-interpolants
  ☆206Updated last year
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆84Updated last year
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆88Updated 3 years ago
• JTT94 / diffusion_schrodinger_bridge
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆191Updated 4 years ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆82Updated last year
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆71Updated 10 months ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆42Updated 3 years ago
• sony / fp-diffusion
  ☆32Updated last year
• lim0606 / ddo
  Official codebase for "Score-based Diffusion Models in Function Space"
  ☆17Updated last year
• necludov / jam
  Implementation of Action Matching
  ☆51Updated 2 years ago
• neuraloperator / DSNO
  ☆33Updated 2 years ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆119Updated 2 years ago
• vdeborto / cdsb
  ☆25Updated 3 years ago
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆200Updated 11 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 2 years ago
• sbyebss / variational_wgf
  [ICML2022] Variational Wasserstein gradient flow
  ☆24Updated 3 years ago
• noamroze / moser_flow
  ☆18Updated 3 years ago
• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆79Updated 2 years ago
• hieuristic / Tutorial_4
  A Tutorial for Diffusion Models
  ☆60Updated 2 years ago
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆54Updated 3 years ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆284Updated last year
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆30Updated 2 years ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆42Updated 3 years ago
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆105Updated last year
• jhhuangchloe / DiffusionPDE
  Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"
  ☆160Updated 9 months ago
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆59Updated 7 months ago
• htlambley / functional_autoencoders
  Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…
  ☆31Updated 2 months ago
• abdulfatir / langevin-monte-carlo
  A simple pytorch implementation of Langevin Monte Carlo algorithms.
  ☆53Updated 5 years ago
• antonioterpin / jkonet-star
  JAX implementation of the JKOnet* architecture presented in "Learning Diffusion at Lightspeed".
  ☆38Updated 10 months ago
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆39Updated last year