Alternatives and similar repositories for stde

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

• yzshi5 / SPL_OFM
  [NeurIPS 2025 Spotlight] "Stochastic Process Learning via Operator Flow Matching"
  ☆12Updated 2 weeks ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆55Updated 2 years ago
• malbergo / stochastic-interpolants
  ☆187Updated last year
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆40Updated 2 years ago
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆122Updated 2 years ago
• PolymathicAI / multiple_physics_pretraining
  Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
  ☆178Updated 11 months ago
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆53Updated 2 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆108Updated last year
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆107Updated last year
• sail-sg / autofd
  Automatic Functional Differentiation in JAX
  ☆79Updated 2 months ago
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆70Updated 8 months ago
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆16Updated last year
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆59Updated 4 months ago
• autonomousvision / akorn
  [ICLR'25] Artificial Kuramoto Oscillatory Neurons
  ☆105Updated 3 weeks ago
• google-deepmind / kfac-jax
  Second Order Optimization and Curvature Estimation with K-FAC in JAX.
  ☆296Updated last week
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆65Updated last year
• martenlienen / torchode
  A parallel ODE solver for PyTorch
  ☆270Updated last year
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆108Updated last month
• scaomath / galerkin-transformer
  [NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations
  ☆252Updated last year
• facebookresearch / SSLForPDEs
  Code for Lie Symmetries SSL paper
  ☆24Updated last year
• BirkhoffG / jax-dataloader
  Pytorch-like dataloaders for JAX.
  ☆96Updated 5 months ago
• pdearena / pdearena
  ☆276Updated last year
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆69Updated 5 months ago
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆81Updated 7 months ago
• nikhilvyas / SOAP
  ☆223Updated 11 months ago
• haydn-jones / SOAP_JAX
  Unofficial JAX implementation of the SOAP optimizer (https://arxiv.org/abs/2409.11321)
  ☆17Updated last year
• franciscovargas / denoising_diffusion_samplers
  ☆18Updated 2 years ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆78Updated 3 years ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆39Updated 3 years ago
• dmusekamp / al4pde
  AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers
  ☆29Updated 5 months ago