mathLab / PINALinks
Physics-Informed Neural networks for Advanced modeling
☆515Updated last week
Alternatives and similar repositories for PINA
Users that are interested in PINA are comparing it to the libraries listed below
Sorting:
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆425Updated last month
- ☆460Updated 2 months ago
- ☆313Updated 2 months ago
- PyTorch Implementation of Physics-informed Neural Networks☆631Updated last year
- ☆349Updated 2 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆561Updated 4 months ago
- Deep learning for Engineers - Physics Informed Deep Learning☆339Updated last year
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆197Updated 2 years ago
- ☆212Updated 3 years ago
- Physics-informed neural networks package☆310Updated 2 years ago
- Using graph network to solve PDEs☆398Updated 3 weeks ago
- A place to share problems solved with SciANN☆281Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆232Updated 3 years ago
- Learning nonlinear operators via DeepONet☆660Updated 3 years ago
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆126Updated last year
- Investigating PINNs☆606Updated 3 years ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆312Updated 11 months ago
- ☆200Updated 10 months ago
- Introductory workshop on PINNs using the harmonic oscillator☆124Updated last month
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆259Updated last year
- ☆166Updated last year
- DeepONet & FNO (with practical extensions)☆306Updated last year
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆557Updated 2 weeks ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆176Updated 4 years ago
- ☆181Updated 2 months ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆113Updated 11 months ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆325Updated 10 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆262Updated 3 weeks ago
- Physics Informed Neural Network (PINN) for the wave equation.☆175Updated 4 years ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆233Updated last month