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"
  ☆49Updated last year
• malbergo / stochastic-interpolants
  ☆127Updated last year
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆45Updated 2 months ago
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆12Updated 6 months ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆97Updated 10 months ago
• pdearena / pdearena
  ☆241Updated 5 months ago
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆89Updated last week
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆44Updated last week
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆49Updated 8 months ago
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆127Updated 5 months ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆76Updated 6 months ago
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆83Updated 6 months ago
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆86Updated last year
• crispitagorico / torchspde
  Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics
  ☆49Updated 2 years ago
• VLSF / SNO
  Spectral Neural Operator
  ☆75Updated last year
• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆70Updated 8 months ago
• neuraloperator / DiffusionOperators
  ☆13Updated last year
• facebookresearch / SSLForPDEs
  Code for Lie Symmetries SSL paper
  ☆19Updated 11 months ago
• sail-sg / autofd
  Automatic Functional Differentiation in JAX
  ☆63Updated last month
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆24Updated last year
• PolymathicAI / multiple_physics_pretraining
  Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
  ☆144Updated 2 months ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆36Updated 2 years ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆54Updated 11 months ago
• ShashankSubramanian / neuraloperators-TL-scaling
  Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML
  ☆42Updated last year
• BirkhoffG / jax-dataloader
  Pytorch-like dataloaders for JAX.
  ☆75Updated 4 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…
  ☆59Updated 3 months ago
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆56Updated 5 months ago
• jhhuangchloe / DiffusionPDE
  Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"
  ☆104Updated 3 months ago
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆130Updated 2 months ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆200Updated 11 months ago