dedekinds / NeurVecLinks
The official implementation of two AI-enhanced numerical solvers: NeurVec (Sci. Rep.) and AttNS (ICML'24)
☆27Updated last year
Alternatives and similar repositories for NeurVec
Users that are interested in NeurVec are comparing it to the libraries listed below
Sorting:
- ☆20Updated 2 months ago
- ☆55Updated 3 years ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆29Updated last year
- Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method☆63Updated 3 years ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆42Updated last year
- ☆127Updated 2 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆32Updated 2 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆61Updated 5 years ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆35Updated 5 years ago
- Resources about Machine Learning for solving PDEs.☆59Updated 2 years ago
- ☆98Updated 10 months ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆29Updated last week
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆75Updated 2 years ago
- [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks☆86Updated 2 years ago
- ☆24Updated 2 years ago
- Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)☆17Updated last year
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- [ICLR 2023] Factorized Fourier Neural Operators☆182Updated 2 years ago
- Differentiable Physics-informed Graph Networks☆67Updated 5 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆43Updated 2 years ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 4 years ago
- ☆61Updated last year
- PENN code for NeurIPS 2022☆42Updated 2 years ago
- Codes for paper "Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning", published on AIAA Aviation F…☆20Updated 2 years ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆100Updated last year
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆247Updated 6 months ago
- ICON for in-context operator learning☆59Updated 9 months ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆81Updated 3 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 6 years ago
- Physics-encoded recurrent convolutional neural network☆47Updated 3 years ago