google-deepmind / inverse_designLinks
☆24Updated last year
Alternatives and similar repositories for inverse_design
Users that are interested in inverse_design are comparing it to the libraries listed below
Sorting:
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆33Updated 5 years ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆40Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- ☆52Updated 3 years ago
- Neural SPH☆32Updated 11 months ago
- Solving Inverse Physics Problems with Score Matching☆27Updated last year
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆63Updated 5 months ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆26Updated last year
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆24Updated 4 months ago
- [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…☆36Updated last year
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆38Updated 2 years ago
- ☆15Updated 2 years ago
- ☆24Updated 2 years ago
- Source code for the ICLR'22 paper on "Half-Inverse Gradients"☆18Updated 3 years ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 3 years ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆38Updated 2 years ago
- Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023☆44Updated last year
- Scale-invariant Learning by Physics Inversion (NeurIPS 2022)☆10Updated 2 years ago
- Official implementation of Diffusion Graph Networks (DGNs)☆55Updated 3 months ago
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆20Updated 11 months ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆44Updated last year
- Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023☆17Updated last year
- MeshGraphNets (MGN)☆64Updated last year
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆54Updated last month
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆15Updated 10 months ago
- Clifford-Steerable Convolutional Neural Networks [ICML'24]☆47Updated last month
- ☆28Updated last year
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆68Updated 7 months ago
- ☆15Updated 5 years ago