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
☆277Updated this week
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…☆212Updated 2 years ago
- Applications of PINOs☆136Updated 3 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆275Updated 4 months ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆457Updated 3 months ago
- ☆485Updated 6 months ago
- Physics Informed Neural Network (PINN) for the wave equation.☆190Updated 5 years ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆267Updated 5 months ago
- Differentiable Fluid Dynamics Package☆460Updated 2 months ago
- ☆360Updated 3 weeks ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆236Updated 11 months ago
- DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks☆287Updated last year
- Deep learning for Engineers - Physics Informed Deep Learning☆350Updated last year
- Curated list for ML in FM☆214Updated last month
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆149Updated last year
- A place to share problems solved with SciANN☆290Updated last year
- Physics-Informed Neural networks for Advanced modeling☆574Updated last week
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆155Updated 6 months ago
- ☆193Updated 2 years ago
- Hidden Fluid Mechanics☆337Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆250Updated 4 years ago
- ☆112Updated 8 months ago
- ☆225Updated 3 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆225Updated 10 months ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆188Updated 2 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆193Updated 5 months ago
- ☆178Updated last year
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆151Updated 5 years ago
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆144Updated last year
- ☆160Updated 11 months ago
- This repository containts materials for End-to-End AI for Science☆189Updated 2 weeks ago