rezaakb / pinns-tf2Links
PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
☆124Updated last year
Alternatives and similar repositories for pinns-tf2
Users that are interested in pinns-tf2 are comparing it to the libraries listed below
Sorting:
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆229Updated 3 years ago
- ☆210Updated 3 years ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆112Updated 10 months ago
- ☆165Updated last year
- Implementation of PINNs in TensorFlow 2☆78Updated last year
- ☆345Updated 2 years ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆305Updated 11 months ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆417Updated last month
- A place to share problems solved with SciANN☆278Updated last year
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆259Updated last year
- Basic implementation of physics-informed neural networks for solving differential equations☆89Updated 5 months ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆176Updated 2 years ago
- ☆197Updated 10 months ago
- Physics Informed Neural Network (PINN) for the wave equation.☆170Updated 4 years ago
- ☆308Updated last month
- ☆454Updated 2 months ago
- DeepONet & FNO (with practical extensions)☆300Updated last year
- ☆180Updated 2 months ago
- Introductory workshop on PINNs using the harmonic oscillator☆123Updated last month
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆193Updated 2 years ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆317Updated 9 months ago
- Physics-informed learning of governing equations from scarce data☆144Updated last year
- Characterizing possible failure modes in physics-informed neural networks.☆135Updated 3 years ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆224Updated 3 weeks ago
- Physics-informed neural networks package☆308Updated 2 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆338Updated last year
- Physics-Informed Neural networks for Advanced modeling☆505Updated this week
- Basic implementation of physics-informed neural network with pytorch.☆68Updated 2 years ago
- hPINN: Physics-informed neural networks with hard constraints☆133Updated 3 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆78Updated 2 years ago