mattragoza / MRE-PINN
MR elastography with physics-informed neural networks
☆11Updated last year
Alternatives and similar repositories for MRE-PINN:
Users that are interested in MRE-PINN are comparing it to the libraries listed below
- Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023☆13Updated last year
- Scale-invariant Learning by Physics Inversion (NeurIPS 2022)☆10Updated 2 years ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆32Updated 4 years ago
- ☆19Updated 4 years ago
- Official implementation of mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall☆48Updated 5 months ago
- ☆26Updated last year
- ☆19Updated last year
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆14Updated last year
- Source code for 4D model-based iterative reconstruction of tomographic data☆13Updated 6 years ago
- Physics-informed neural networks (PINNs)☆11Updated 2 years ago
- ☆10Updated 6 months ago
- Code and data in support of publication on Cardiac PINN☆20Updated 3 years ago
- Reaction diffusion system prediction based on convolutional neural network☆16Updated 2 years ago
- ☆16Updated 3 years ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆16Updated this week
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆30Updated 3 years ago
- Official implementation of SE(3) symmetry lets graph neural networks learn arterial velocity estimation from small datasets☆13Updated 10 months ago
- ☆27Updated 6 months ago
- ☆13Updated last year
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Updated 3 months ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆24Updated last year
- ☆11Updated last year
- generative neural network trained with physics knowledge☆14Updated 3 years ago
- Pyrough - a tool to build 3D samples with rough surfaces for atomistic and finite-element simulations☆18Updated 2 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆28Updated 8 months ago
- Synthetic Lagrangian Turbulence by Generative Diffusion Models☆20Updated 3 months ago
- U-Net architecture with Kolmogorov-Arnold Convolutions (KA convolutions)☆34Updated 9 months ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆25Updated 4 months ago
- An Open-Source Python Library for the development of algorithms for 2D Electromagnetic Inverse Scattering Problems.☆23Updated 2 years ago