Alternatives and similar repositories for Learn-to-Estimate-Fluid-Motion:

Users that are interested in Learn-to-Estimate-Fluid-Motion are comparing it to the libraries listed below

• yitongdeng-projects / learning_vortex_dynamics_code
  Code for paper: Learning Vortex Dynamics for Fluid Inference and Prediction (ICLR 2023)
  ☆18Updated last year
• honglin-c / INSR-PDE
  Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023
  ☆42Updated last year
• martenlienen / generative-turbulence
  Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024
  ☆21Updated 2 months ago
• dc3042 / CROM_offline_training
  ☆22Updated 2 years ago
• JiamingSkGrey / GotFlow3D
  ☆22Updated 2 years ago
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆62Updated last year
• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆52Updated 11 months ago
• peterchencyc / CROM_online_deployment
  ☆14Updated 2 years 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
  ☆62Updated last year
• vc-bonn / Teaching_Incompressible_Fluid_Dynamics_to_3D_CNNs
  ☆58Updated last month
• thuml / HelmFluid
  About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…
  ☆18Updated 9 months ago
• syguan96 / NeuroFluid
  [ICML 2022] NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields
  ☆86Updated last year
• tum-vision / intrinsic-neural-fields
  [ECCV '22] Intrinsic Neural Fields: Learning Functions on Manifolds
  ☆74Updated 2 years ago
• chiuph / CAN-PINN
  Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)
  ☆28Updated last year
• scaomath / torch-cfd
  Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
  ☆30Updated 5 months ago
• BaratiLab / MeshDQN
  Using deep reinforcement learning for refining meshes in computational fluid dynamics
  ☆26Updated last year
• stnamjef / SPINN
  Source code for Separable PINN
  ☆70Updated last year
• maxjiang93 / space_time_pde
  MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution
  ☆107Updated 4 years ago
• ArmanMaesumi / torchrbf
  GPU-Accelerated Radial Basis Function (RBF) Interpolation in PyTorch
  ☆26Updated 2 years ago
• vc-bonn / Unsupervised_Deep_Learning_of_Incompressible_Fluid_Dynamics
  ☆93Updated 2 months ago
• anthonyzhou-1 / ldm_pdes
  ☆25Updated last month
• lasinger / 3d-fluid-flow
  3D Fluid Flow Estimation with Integrated Particle Reconstruction
  ☆13Updated 4 years ago
• BaratiLab / FGN
  Code repo for Fluid Graph Network
  ☆25Updated 3 years ago
• kfxw / CFD_Mesh_Parameterization
  Codes for paper "Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning", published on AIAA Aviation F…
  ☆18Updated last year
• 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
• LouisSerrano / aroma
  ☆16Updated 6 months ago
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆39Updated last year
• gizemdal / MPM-Taichi
  3-D elastic material simulation with Taichi using the Material Point Method (MPM)
  ☆38Updated 3 years ago
• tum-pbs / SIP
  Scale-invariant Learning by Physics Inversion (NeurIPS 2022)
  ☆10Updated 2 years ago