Alternatives and similar repositories for inverse_design

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

• holl- / PDE-Control
  Code for the ICLR 2020 paper "Learning to Control PDEs"
  ☆32Updated 5 years 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
• peterchencyc / CROM_online_deployment
  ☆14Updated 2 years ago
• georgosgeorgos / trajectory-alignment-diffusion
  Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023
  ☆15Updated last year
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆25Updated last year
• tum-pbs / SIP
  Scale-invariant Learning by Physics Inversion (NeurIPS 2022)
  ☆10Updated 2 years ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆63Updated 4 months ago
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆38Updated 2 years ago
• tum-pbs / SMDP
  Solving Inverse Physics Problems with Score Matching
  ☆23Updated last year
• tum-pbs / half-inverse-gradients
  Source code for the ICLR'22 paper on "Half-Inverse Gradients"
  ☆18Updated 3 years ago
• peterparity / conservation-laws-manifold-learning
  Discovering Conservation Laws using Optimal Transport and Manifold Learning
  ☆17Updated last year
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆50Updated last year
• honglin-c / INSR-PDE
  Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023
  ☆43Updated last year
• ermongroup / Neural-PDE-Solver
  ☆15Updated 4 years 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 11 months ago
• computational-imaging / GraphPDE
  ☆50Updated 2 years ago
• dc3042 / CROM_offline_training
  ☆23Updated 2 years ago
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆51Updated last week
• tumaer / neuralsph
  Neural SPH
  ☆30Updated 10 months ago
• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆54Updated last year
• Pranav-Jain / Neural-Monte-Carlo-Fluid-Simulation
  ☆45Updated last year
• tum-pbs / VOLSIM
  VolSiM, a CNN-based metric to compute the similarity of 3D data from numerical simulations
  ☆15Updated last year
• martenlienen / generative-turbulence
  Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024
  ☆22Updated 2 months ago
• tianjuxue / AmorFEA
  ☆13Updated 3 years ago
• elizabethnewman / hessQuik
  Computing gradients and Hessians of feed-forward networks with GPU acceleration
  ☆18Updated last year
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆37Updated 3 years ago
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆63Updated 3 months ago
• MaxGhi8 / HyperNOs
  ☆14Updated this week
• tum-pbs / dgn4cfd
  Official implementation of Diffusion Graph Networks (DGNs)
  ☆41Updated last month
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆62Updated last year