Alternatives and similar repositories for stde

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

• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆52Updated 2 years ago
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆114Updated last year
• malbergo / stochastic-interpolants
  ☆174Updated last year
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆40Updated 2 years ago
• sail-sg / autofd
  Automatic Functional Differentiation in JAX
  ☆77Updated this week
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆105Updated last year
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆58Updated 2 months ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆108Updated last year
• PolymathicAI / multiple_physics_pretraining
  Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
  ☆172Updated 9 months ago
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆66Updated 6 months ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆65Updated last year
• franciscovargas / denoising_diffusion_samplers
  ☆18Updated last year
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆53Updated 2 years ago
• pdearena / pdearena
  ☆270Updated last year
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆101Updated 2 months ago
• DoronHav / WassersteinFlowMatching
  ☆29Updated last month
• neuraloperator / DiffusionOperators
  ☆13Updated last year
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆128Updated 2 months ago
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆80Updated 5 months ago
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆137Updated last year
• qiauil / torchfsm
  TorchFSM: Fourier Spectral Method with PyTorch
  ☆48Updated last week
• scaomath / galerkin-transformer
  [NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations
  ☆250Updated last year
• necludov / jam
  Implementation of Action Matching
  ☆45Updated 2 years ago
• sony / fp-diffusion
  ☆29Updated last year
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆261Updated last year
• google-deepmind / kfac-jax
  Second Order Optimization and Curvature Estimation with K-FAC in JAX.
  ☆283Updated this week
• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆69Updated last year
• nikhilvyas / SOAP
  ☆210Updated 9 months ago
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆36Updated 9 months ago
• martenlienen / torchode
  A parallel ODE solver for PyTorch
  ☆265Updated 11 months ago