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 4 years ago
• snap-stanford / lamp
  [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
  ☆38Updated 11 months ago
• peterchencyc / CROM_online_deployment
  ☆14Updated last year
• tum-pbs / SIP
  Scale-invariant Learning by Physics Inversion (NeurIPS 2022)
  ☆10Updated 2 years ago
• dc3042 / CROM_offline_training
  ☆21Updated last year
• snap-stanford / le_pde
  LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…
  ☆23Updated 11 months ago
• georgosgeorgos / trajectory-alignment-diffusion
  Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023
  ☆11Updated last year
• honglin-c / INSR-PDE
  Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023
  ☆38Updated last year
• elizabethnewman / hessQuik
  Computing gradients and Hessians of feed-forward networks with GPU acceleration
  ☆18Updated 11 months ago
• tum-pbs / SMDP
  Solving Inverse Physics Problems with Score Matching
  ☆22Updated last year
• tum-pbs / differentiable-piso
  Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"
  ☆35Updated 2 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 7 months ago
• facebookresearch / SSLForPDEs
  Code for Lie Symmetries SSL paper
  ☆19Updated 10 months ago
• computational-imaging / GraphPDE
  ☆45Updated 2 years ago
• luckystarufo / SIREN_out_of_sample_tests
  A quick test of SIREN on out-of-sample tasks
  ☆13Updated 4 years ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆35Updated 2 years ago
• tumaer / neuralsph
  Neural SPH
  ☆27Updated 6 months ago
• peterparity / conservation-laws-manifold-learning
  Discovering Conservation Laws using Optimal Transport and Manifold Learning
  ☆17Updated last year
• tum-pbs / half-inverse-gradients
  Source code for the ICLR'22 paper on "Half-Inverse Gradients"
  ☆18Updated 2 years ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆49Updated last year
• ermongroup / Neural-PDE-Solver
  ☆15Updated 4 years ago
• tumaer / lagrangebench
  LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  ☆62Updated 2 weeks ago
• anthonyzhou-1 / ldm_pdes
  ☆16Updated last month
• tum-pbs / VOLSIM
  VolSiM, a CNN-based metric to compute the similarity of 3D data from numerical simulations
  ☆15Updated last year
• AI4Science-WestlakeU / cindm
  [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…
  ☆28Updated 8 months ago
• DiffEqML / pde-dataset-generator
  A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
  ☆35Updated 3 years ago
• bchao1 / poissonpy
  📈 poissonpy is a Python Poisson Equation library for scientific computing, image and video processing, and computer graphics.
  ☆14Updated 2 years ago
• tum-pbs / DMCF
  Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
  ☆49Updated 8 months ago
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆57Updated this week
• vdorbs / spherical-generative-modeling
  ☆16Updated last year