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
  ☆163Updated 4 years ago
• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆49Updated 9 months 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…
  ☆66Updated 4 years ago
• tum-pbs / Solver-in-the-Loop
  Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
  ☆152Updated 2 years ago
• wwMark / meshgraphnets
  Rewrite deepmind/meshgraphnets into pytorch
  ☆79Updated 3 years ago
• geoelements / gns
  Graph Network Simulator
  ☆151Updated 2 months ago
• gizemdal / MPM-Taichi
  3-D elastic material simulation with Taichi using the Material Point Method (MPM)
  ☆37Updated 3 years ago
• mit-gfx / diff_pd_public
  ☆117Updated 2 years ago
• thunil / tempoGAN
  Source code for the SIGGRAPH paper "tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow"
  ☆180Updated 4 years ago
• vc-bonn / Unsupervised_Deep_Learning_of_Incompressible_Fluid_Dynamics
  ☆94Updated 2 weeks ago
• wiewel / LatentSpaceSubdivision
  Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow
  ☆23Updated 2 years ago
• mojtabamozaffar / differentiable-simulation-am
  An optimization tool for additive manufacturing using automatic differentiation
  ☆54Updated 3 years ago
• Eydcao / BSMS-GNN
  ☆53Updated 6 months ago
• kks32 / learning_to_simulate
  ☆15Updated 2 years ago
• wiewel / LatentSpacePhysics
  Towards Learning the Temporal Evolution of Fluid Flow
  ☆64Updated 5 years ago
• houkensjtu / taichi-fluid
  A collection of CFD related resources for Taichi developers.
  ☆123Updated 3 months ago
• YunzhuLi / DPI-Net
  [ICLR 2019] Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
  ☆128Updated 4 years ago
• GZhonghui / tiCloth
  Cloth Simulation
  ☆54Updated 11 months ago
• honglin-c / INSR-PDE
  Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023
  ☆38Updated last year
• penn-graphics-research / LETO
  LETO is a new hybrid Lagrangian-Eulerian method for topology optimization. It transfers density information from movable Lagrangian carri…
  ☆63Updated 4 years ago
• zhehaoli1999 / taichi-TopOpt
  A topology optimization framework written in Taichi programming language.
  ☆61Updated 3 years ago
• YilingQiao / diffsim
  Scalable Differentiable Physics for Learning and Control (ICML2020)
  ☆171Updated 6 months ago
• tum-pbs / Physics-Based-Deep-Learning
  Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
  ☆56Updated 4 years ago
• mit-gfx / diff_stokes_flow
  Code for the Siggraph Asia 2020 submission
  ☆45Updated 4 years ago
• wu375 / simple-physics-simulator-pytorch-geometry
  Minimal pytorch version of https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate
  ☆51Updated 3 years ago
• mo-hanxuan / FEMcy
  a finite element solver based on Taichi, being parallel (CPU/GPU), portable and open-source
  ☆149Updated 3 months ago
• ethz-pbs21 / SandyFluid
  ☆77Updated 2 years ago
• phys-sim-book / solid-sim-tutorial
  A curated collection of Python examples for optimization-based solid simulation, emphasizing algorithmic convergence, penetration-free, a…
  ☆207Updated this week
• thunil / Deep-Flow-Prediction
  A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
  ☆301Updated 2 years ago
• hietwll / LBM_Taichi
  Fluid solver based on Lattice Boltzmann method implemented by taichi programming language
  ☆218Updated last year