bitzhangcy / Neural-PDE-SolverLinks
☆1,057Updated this week
Alternatives and similar repositories for Neural-PDE-Solver
Users that are interested in Neural-PDE-Solver are comparing it to the libraries listed below
Sorting:
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆383Updated last year
- ☆500Updated 8 months ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,025Updated 7 months ago
- PyTorch Implementation of Physics-informed Neural Networks☆689Updated last year
- Learning nonlinear operators via DeepONet☆736Updated 3 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,378Updated 2 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆623Updated 10 months ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆759Updated 6 months ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆344Updated 2 years ago
- ☆375Updated 3 years ago
- Investigating PINNs☆704Updated 4 years ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆352Updated last year
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆504Updated last month
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆294Updated 6 months ago
- Using graph network to solve PDEs☆425Updated 6 months ago
- ☆388Updated last month
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆245Updated last month
- Physics-Informed Neural networks for Advanced modeling☆685Updated last week
- A large-scale benchmark for machine learning methods in fluid dynamics☆251Updated 2 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆263Updated 4 years ago
- ☆213Updated last year
- ☆191Updated last year
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆316Updated 7 months ago
- Fourier_neural_operator☆16Updated 2 years ago
- ☆192Updated last year
- Characterizing possible failure modes in physics-informed neural networks.☆147Updated 4 years ago
- ☆75Updated 2 years ago
- Physics-informed neural network for solving fluid dynamics problems☆258Updated 4 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆204Updated 3 years ago
- ☆235Updated 4 years ago