pdebench / PDEBenchLinks
PDEBench: An Extensive Benchmark for Scientific Machine Learning
☆972Updated 4 months ago
Alternatives and similar repositories for PDEBench
Users that are interested in PDEBench are comparing it to the libraries listed below
Sorting:
- ☆483Updated 6 months ago
- Using graph network to solve PDEs☆413Updated 4 months ago
- ☆1,006Updated this week
- Learning nonlinear operators via DeepONet☆697Updated 3 years ago
- ☆356Updated 2 weeks ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆763Updated 2 months ago
- ☆364Updated 2 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆328Updated 2 years ago
- Physics-Informed Neural networks for Advanced modeling☆573Updated last week
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆351Updated last year
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆454Updated 3 months ago
- PyTorch Implementation of Physics-informed Neural Networks☆660Updated last year
- ☆272Updated last year
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆273Updated 4 months ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆585Updated 7 months ago
- Computational Fluid Dynamics in JAX☆878Updated last week
- Investigating PINNs☆663Updated 4 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆142Updated 3 years ago
- ☆206Updated last year
- ☆224Updated 3 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,274Updated last year
- A differentiable PDE solving framework for machine learning☆1,694Updated 2 months ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆266Updated 4 months ago
- Learning in infinite dimension with neural operators.☆2,956Updated last week
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆236Updated 11 months ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆644Updated 3 months ago
- ☆177Updated last year
- Deep learning for Engineers - Physics Informed Deep Learning☆350Updated last year
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆142Updated last year
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆191Updated 5 months ago