NVIDIA / physicsnemo-symLinks
Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as higher level abstraction for domain experts
☆307Updated 2 months ago
Alternatives and similar repositories for physicsnemo-sym
Users that are interested in physicsnemo-sym are comparing it to the libraries listed below
Sorting:
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆238Updated 2 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆302Updated 7 months ago
- ☆400Updated 2 months ago
- Applications of PINOs☆146Updated 3 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆516Updated 2 months ago
- Differentiable Fluid Dynamics Package☆505Updated 2 weeks ago
- This repository containts materials for End-to-End AI for Science☆222Updated last month
- Deep learning for Engineers - Physics Informed Deep Learning☆361Updated 2 years ago
- ☆200Updated 2 years ago
- ☆241Updated 4 years ago
- ☆506Updated 9 months ago
- Physics Informed Neural Network (PINN) for the wave equation.☆200Updated 5 years ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆168Updated 9 months ago
- ☆117Updated 11 months ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆243Updated last year
- Physics-Informed Neural networks for Advanced modeling☆692Updated last week
- DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks☆307Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆270Updated 4 years ago
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆117Updated 5 months ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆259Updated 3 months ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆131Updated 3 months ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆327Updated 8 months ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆172Updated 5 months ago
- ☆199Updated last year
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆155Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆76Updated 2 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆204Updated 2 years ago
- A place to share problems solved with SciANN☆303Updated 2 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆159Updated 5 years ago
- ☆287Updated last year