Alternatives and similar repositories for DeepLagrangianFluids

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

• byungsook / deep-fluids
  Deep Fluids: A Generative Network for Parameterized Fluid Simulations
  ☆165Updated 4 years ago
• cschenck / SmoothParticleNets
  A set of custom deep network layers written in PyTorch to enable computation with unordered particle sets with an emphasis on fluid dynam…
  ☆68Updated 4 years ago
• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆54Updated last year
• tum-pbs / Solver-in-the-Loop
  Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
  ☆160Updated 2 years ago
• wwMark / meshgraphnets
  Rewrite deepmind/meshgraphnets into pytorch
  ☆89Updated 3 years ago
• geoelements / gns
  Graph Network Simulator
  ☆171Updated 3 months ago
• haeriamin / Subspace-Graph-Physics
  Subspace Graph Physics
  ☆11Updated last year
• gizemdal / MPM-Taichi
  3-D elastic material simulation with Taichi using the Material Point Method (MPM)
  ☆40Updated 4 years ago
• Eydcao / BSMS-GNN
  ☆57Updated 11 months ago
• honglin-c / INSR-PDE
  Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023
  ☆44Updated last year
• wiewel / LatentSpaceSubdivision
  Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow
  ☆23Updated 3 years ago
• hietwll / LBM_Taichi
  Fluid solver based on Lattice Boltzmann method implemented by taichi programming language
  ☆226Updated 2 years ago
• holl- / PDE-Control
  Code for the ICLR 2020 paper "Learning to Control PDEs"
  ☆33Updated 5 years ago
• vc-bonn / Unsupervised_Deep_Learning_of_Incompressible_Fluid_Dynamics
  ☆96Updated 5 months ago
• houkensjtu / taichi-fluid
  A collection of CFD related resources for Taichi developers.
  ☆140Updated 4 months ago
• thunil / Deep-Flow-Prediction
  A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
  ☆316Updated 2 years ago
• penn-graphics-research / LETO
  LETO is a new hybrid Lagrangian-Eulerian method for topology optimization. It transfers density information from movable Lagrangian carri…
  ☆63Updated 5 years ago
• GZhonghui / tiCloth
  Cloth Simulation
  ☆56Updated last year
• mit-gfx / diff_stokes_flow
  Code for the Siggraph Asia 2020 submission
  ☆44Updated 4 years ago
• wiewel / LatentSpacePhysics
  Towards Learning the Temporal Evolution of Fluid Flow
  ☆64Updated 5 years ago
• mojtabamozaffar / differentiable-simulation-am
  An optimization tool for additive manufacturing using automatic differentiation
  ☆57Updated 4 years ago
• Autodesk / XLB
  XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML
  ☆375Updated last month
• echowve / meshGraphNets_pytorch
  PyTorch implementations of Learning Mesh-based Simulation With Graph Networks
  ☆192Updated 2 years ago
• thunil / tempoGAN
  Source code for the SIGGRAPH paper "tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow"
  ☆182Updated 5 years ago
• y-sq / neural_proj
  ☆18Updated 4 years ago
• ethz-pbs21 / SandyFluid
  ☆84Updated 2 years ago
• erizmr / SPH_Taichi
  A high-performance implementation of SPH in Taichi.
  ☆274Updated 9 months ago
• mo-hanxuan / FEMcy
  a finite element solver based on Taichi, being parallel (CPU/GPU), portable and open-source
  ☆165Updated 8 months ago
• takah29 / 2d-fluid-simulator
  2D incompressible fluid solver implemented in Taichi.
  ☆126Updated last year
• Pranav-Jain / Neural-Monte-Carlo-Fluid-Simulation
  ☆47Updated last year