bitzhangcy / Neural-PDE-SolverLinks
☆999Updated 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:
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆962Updated 4 months ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,261Updated last year
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆581Updated 6 months ago
- ☆478Updated 5 months ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆348Updated last year
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆629Updated 3 months ago
- Learning nonlinear operators via DeepONet☆692Updated 3 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆654Updated last year
- Investigating PINNs☆653Updated 4 years ago
- ☆362Updated 2 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆321Updated 2 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆447Updated 2 months ago
- Physics-Informed Neural networks for Advanced modeling☆564Updated this week
- ☆342Updated this week
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆326Updated last year
- Using graph network to solve PDEs☆410Updated 3 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆267Updated 3 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆246Updated 3 years ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆262Updated 4 months ago
- A library for scientific machine learning and physics-informed learning☆3,474Updated 2 months ago
- Hidden Fluid Mechanics☆331Updated 2 years ago
- ☆152Updated 10 months ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆261Updated last year
- ☆205Updated last year
- Fourier_neural_operator☆15Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆219Updated 9 months ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆195Updated 3 years ago
- ☆221Updated 3 years ago
- ☆175Updated last year
- Characterizing possible failure modes in physics-informed neural networks.☆140Updated 3 years ago