Alternatives and similar repositories for neuralsph:

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

• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆62Updated 2 months ago
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆38Updated last year
• peterchencyc / CROM_online_deployment
  ☆14Updated 2 years ago
• ASK-Berkeley / physics-NNs-hard-constraints
  [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
  ☆31Updated 9 months ago
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆24Updated last year
• mkirchmeyer / DINo
  Time- and space-continuous neural PDE forecaster based on INRs and ODEs
  ☆58Updated last year
• ASK-Berkeley / Neural-Spectral-Methods
  [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.
  ☆37Updated last year
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆46Updated last month
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆59Updated 2 months ago
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆99Updated last month
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆36Updated 3 years ago
• anthonyzhou-1 / ldm_pdes
  ☆21Updated 2 weeks ago
• felix-lyx / prose
  PROSE: Predicting Multiple Operators and Symbolic Expressions
  ☆22Updated last week
• AI4Science-WestlakeU / cindm
  [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…
  ☆32Updated 10 months ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆49Updated last year
• dc3042 / CROM_offline_training
  ☆22Updated 2 years ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆35Updated 2 years ago
• HaoZhongkai / DPOT
  Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"
  ☆52Updated 9 months ago
• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆70Updated 10 months ago
• eagle-dataset / EagleMeshTransformer
  Code for Mesh Transformer describes in the EAGLE dataset
  ☆38Updated last month
• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆50Updated 10 months ago
• BaratiLab / FactFormer
  Official implementation of Scalable Transformer for PDE surrogate modelling
  ☆39Updated last year
• ningliu-iga / DAFNO
  Domain Agnostic Fourier Neural Operators (DAFNO)
  ☆14Updated 6 months ago
• kaist-silab / graphsplinenets
  [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"
  ☆15Updated 8 months ago
• LouisSerrano / coral
  ☆27Updated 8 months ago
• junfeng-chen / position_induced_transformer
  PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations
  ☆17Updated 4 months ago
• sjunhongshen / UnifiedPDESolvers
  ☆17Updated 10 months ago
• merantix-momentum / gnn-bvp-solver
  Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"
  ☆20Updated 8 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…
  ☆64Updated 4 months ago
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆13Updated 7 months ago