Alternatives and similar repositories for functional-diffusion-processes

Users that are interested in functional-diffusion-processes are comparing it to the libraries listed below

• lim0606 / ddo
  Official codebase for "Score-based Diffusion Models in Function Space"
  ☆14Updated 10 months ago
• sail-sg / stde
  Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024
  ☆124Updated last year
• malbergo / stochastic-interpolants
  ☆193Updated last year
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆124Updated 2 years ago
• GavinKerrigan / functional_diffusion
  ☆26Updated 2 years ago
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆16Updated last year
• htlambley / functional_autoencoders
  Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…
  ☆29Updated this week
• google-deepmind / functa
  ☆158Updated last year
• devzhk / InverseBench
  InverseBench (ICLR 2025 spotlight)
  ☆85Updated last month
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆111Updated last year
• neuraloperator / DSNO
  ☆32Updated last year
• neuraloperator / FunDPS
  Official pytorch repository for "Guided Diffusion Sampling on Function Spaces with Applications to PDEs"
  ☆30Updated 3 weeks ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆49Updated 5 months ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆91Updated last year
• jhhuangchloe / DiffusionPDE
  Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"
  ☆154Updated 7 months ago
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆90Updated 3 weeks ago
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆70Updated 6 months ago
• DoronHav / WassersteinFlowMatching
  ☆34Updated 3 months ago
• facebookresearch / SSLForPDEs
  Code for Lie Symmetries SSL paper
  ☆24Updated last year
• maxxxzdn / clifford-group-equivariant-cnns
  Clifford-Steerable Convolutional Neural Networks [ICML'24]
  ☆50Updated 6 months ago
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆60Updated 6 months ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆273Updated last year
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆81Updated 7 months ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆41Updated 2 years ago
• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆79Updated 2 years ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆55Updated 2 years ago
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆37Updated 4 years ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆39Updated 3 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆117Updated last month
• astanziola / fourier-neural-operator-flax
  An unofficial implementation of the Fourier Neural Operator in Flax
  ☆18Updated last year