Alternatives and similar repositories for GINNs-Geometry-informed-Neural-Networks:

Users that are interested in GINNs-Geometry-informed-Neural-Networks are comparing it to the libraries listed below

• Autodesk / XLB
  XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML
  ☆335Updated last month
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆105Updated 2 months ago
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆61Updated 3 months ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆62Updated 3 months ago
• PolymathicAI / multiple_physics_pretraining
  Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
  ☆153Updated 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…
  ☆65Updated 5 months ago
• Iolo-Jones / ManifoldDiffusionGeometry
  Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"
  ☆43Updated 5 months ago
• tum-pbs / dgn4cfd
  Official implementation of Diffusion Graph Networks (DGNs)
  ☆32Updated last month
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆52Updated 3 weeks ago
• JAX-DIPS / JAX-DIPS
  JAX-DIPS is a differentiable interfacial PDE solver.
  ☆41Updated 7 months ago
• Qualcomm-AI-research / geometric-algebra-transformer
  ☆181Updated 2 months ago
• arpastrana / jax_fdm
  Auto-differentiable and hardware-accelerated force density method
  ☆89Updated 2 months ago
• helblazer811 / diffusion-visualizations
  Visualizations of the theory behind diffusion models.
  ☆187Updated 11 months ago
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆80Updated 10 months ago
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆62Updated last year
• david-knigge / enf-min-jax
  A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).
  ☆23Updated 2 months ago
• maxxxzdn / clifford-group-equivariant-cnns
  Code repository of the paper "Clifford-Steerable Convolutional Neural Networks"
  ☆47Updated 8 months ago
• francoismaze / topodiff
  Code, technical details and links to datasets and trained models for TopoDiff
  ☆38Updated last year
• nmwsharp / neural-physics-subspaces
  Fit low-dimensional subspaces to physical systems with neural networks (SIGGRAPH 2023)
  ☆164Updated last year
• qianyingcao / Laplace-Neural-Operator
  ☆78Updated 2 weeks ago
• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆69Updated 10 months ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆49Updated last year
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆131Updated 7 months ago
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆12Updated 8 months ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆84Updated 4 months ago
• geoelements / gns
  Graph Network Simulator
  ☆159Updated this week
• tum-pbs / Diffusion-based-Flow-Prediction
  Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…
  ☆62Updated 5 months ago
• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆51Updated 11 months ago
• PingchuanMa / NCLaw
  [ICML 2023] Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics
  ☆116Updated last year
• tumaer / neuralsph
  Neural SPH
  ☆29Updated 9 months ago