☆240Oct 14, 2021Updated 4 years ago
Alternatives and similar repositories for GradientPathologiesPINNs
Users that are interested in GradientPathologiesPINNs are comparing it to the libraries listed below
Sorting:
- ☆202Feb 16, 2024Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆273Oct 12, 2021Updated 4 years ago
- ☆110Oct 16, 2021Updated 4 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆243Feb 1, 2023Updated 3 years ago
- ☆63Jul 24, 2019Updated 6 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Jan 24, 2021Updated 5 years ago
- ☆168Jun 27, 2022Updated 3 years ago
- POD-PINN code and manuscript☆58Nov 10, 2024Updated last year
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆524Nov 27, 2025Updated 3 months ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆43Feb 1, 2023Updated 3 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆265Nov 30, 2023Updated 2 years ago
- ☆386Dec 3, 2022Updated 3 years ago
- ☆63Mar 22, 2023Updated 2 years ago
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆11Oct 23, 2020Updated 5 years ago
- ☆69Nov 15, 2022Updated 3 years ago
- ☆54Oct 9, 2022Updated 3 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆88Aug 26, 2025Updated 6 months ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆108Apr 15, 2022Updated 3 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆95Aug 17, 2023Updated 2 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆77Feb 1, 2023Updated 3 years ago
- ☆117Jul 28, 2019Updated 6 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,426Dec 8, 2023Updated 2 years ago
- A library for scientific machine learning and physics-informed learning☆3,880Dec 12, 2025Updated 2 months ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,588Feb 11, 2026Updated 2 weeks ago
- ☆30Oct 6, 2022Updated 3 years ago
- PINN in solving Navier–Stokes equation☆127Jun 7, 2020Updated 5 years ago
- ☆404Nov 14, 2025Updated 3 months ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- A place to share problems solved with SciANN☆305Nov 6, 2023Updated 2 years ago
- ☆42May 8, 2020Updated 5 years ago
- Hidden Fluid Mechanics☆354Jan 30, 2023Updated 3 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆645Feb 17, 2026Updated last week
- Original implementation of fast PINN optimization with RBA weights☆70Sep 11, 2025Updated 5 months ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆151Oct 18, 2019Updated 6 years ago
- hPINN: Physics-informed neural networks with hard constraints☆153Nov 21, 2021Updated 4 years ago
- Learning nonlinear operators via DeepONet☆760Jun 25, 2022Updated 3 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆362Dec 20, 2023Updated 2 years ago
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Mar 8, 2021Updated 4 years ago