Alternatives and similar repositories for PDE-Control

Users that are interested in PDE-Control are comparing it to the libraries listed below

• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆69Updated last year
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆38Updated 2 years ago
• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆55Updated last year
• tum-pbs / Solver-in-the-Loop
  Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
  ☆161Updated 2 years ago
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆40Updated last year
• peterchencyc / CROM_online_deployment
  ☆15Updated 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…
  ☆28Updated last year
• martenlienen / generative-turbulence
  Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024
  ☆27Updated 6 months ago
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆37Updated 4 years ago
• dc3042 / CROM_offline_training
  ☆24Updated 2 years ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆65Updated 7 months ago
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆72Updated 7 months ago
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆67Updated last year
• tum-pbs / half-inverse-gradients
  Source code for the ICLR'22 paper on "Half-Inverse Gradients"
  ☆18Updated 3 years ago
• computational-imaging / GraphPDE
  ☆52Updated 3 years ago
• locuslab / cfd-gcn
  ☆126Updated 2 years ago
• yuan-yin / APHYNITY
  Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
  ☆47Updated last year
• honglin-c / INSR-PDE
  Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023
  ☆49Updated last year
• sisl / deep_flow_control
  Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018
  ☆49Updated 6 years ago
• DiffEqML / kairos
  Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure
  ☆26Updated 2 years ago
• SmartTURB / diffusion-lagr
  Synthetic Lagrangian Turbulence by Generative Diffusion Models
  ☆25Updated 9 months ago
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆80Updated 4 months ago
• zabaras / transformer-physx
  Transformers for modeling physical systems
  ☆143Updated 2 years ago
• csuastt / HardConstraint
  Official implementation of *A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs*
  ☆16Updated 2 years ago
• CognitiveModeling / finn
  The public repository about our joint FINN research project
  ☆38Updated 2 years ago
• merantix-momentum / gnn-bvp-solver
  Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"
  ☆20Updated last year
• jhagnberger / vcnef
  Official PyTorch implementation of the Vectorized Conditional Neural Field.
  ☆15Updated last year
• google-deepmind / inverse_design
  ☆24Updated 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…
  ☆75Updated 9 months ago
• tumaer / neuralsph
  Neural SPH
  ☆34Updated last year