Stars
17
Forks
4
Language
Python
Last Updated
Dec 07, 2023
Similar Repos
| Repo | Language | Stars | Description | Updated At |
|---|---|---|---|---|
| Jupyter Notebook | 4 | Physics Informed Neural Networks | Apr 11, 2023 | |
| Python | 79 | Physics-Informed Neural networks for Advanced modeling | Apr 23, 2023 | |
| Python | 10 | gPINN: Gradient-enhanced physics-informed neural networks | Jun 16, 2022 | |
| Python | 2 | Changepoints Detection with Physics Informed Neural Networks | Aug 23, 2022 | |
| Julia | 36 | Neural networks and neural operators for physics-informed machine learning | Apr 18, 2023 | |
| Python | 221 | Must-read Papers on Physics-Informed Neural Networks. | Aug 14, 2022 | |
| Jupyter Notebook | 65 | hPINN: Physics-informed neural networks with hard constraints | Apr 21, 2023 | |
| None | 2 | Blood Flow Modeling with Physics-Informed Neural Networks | Mar 30, 2023 | |
| Python | 2 | Physics Informed Neural Networks: a starting step for CFD specialists | May 20, 2022 | |
| Python | 11 | Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs | Aug 23, 2022 | |
| Jupyter Notebook | 2 | A Hands-on Introduction to Physics-Informed Neural Networks | Apr 03, 2022 | |
| Python | 3 | Solving Partial Differential Equations using Physics-Informed Neural Networks | Apr 03, 2023 | |
| Python | 69 | Characterizing possible failure modes in physics-informed neural networks. | May 10, 2023 | |
| Python | 11 | Pytorch implementation of Physics Informed Neural Networks and improvements | Mar 31, 2023 | |
| Python | 7 | TF2 Implementation of Physics Informed Neural Networks and Neural Tangent Kernel | Jan 12, 2023 | |
| Python | 10 | Competitive Physics Informed Networks | Apr 19, 2023 | |
| Jupyter Notebook | 2 | Using physics-informed neural network to simulate nonlinear control | Apr 29, 2023 | |
| Python | 32 | Basic implementation of physics-informed neural networks for solving differential equations | May 26, 2023 | |
| Python | 5 | Physics-informed neural networks for identifying material properties in solid mechanics | Dec 22, 2023 | |
| Jupyter Notebook | 5 | Hands-on tutorial for implementing Physics Informed Neural Networks in Pytorch | Dec 11, 2023 | |
| Julia | 14 | Using TensorFlow for physics-informed neural networks for scientific machine learning (SciML) | Jun 23, 2022 | |
| Python | 9 | Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling | Jul 01, 2022 | |
| Jupyter Notebook | 2 | Physics Informed Neural Networks (Raissi et al., 2017) in Pytorch version | Apr 18, 2022 | |
| Python | 11 | A pytorch implementaion of physics informed neural networks for two dimensional NS equation | Aug 21, 2022 | |
| Jupyter Notebook | 2 | Repository with notebooks about Physics Informed Neural Networks, written in JAX + Flax. | Feb 08, 2024 | |
| Python | 4 | Physics-informed Neural Network for Computational Fluid Dynamics | May 28, 2023 | |
| Jupyter Notebook | 3 | Studies on Physics-Informed Neural Networks (PINNs) for solving problems governed by partial differential equations. | Feb 16, 2024 | |
| Jupyter Notebook | 12 | physics meets neural networks | Feb 28, 2020 | |
| Jupyter Notebook | 94 | physics meets neural networks | Mar 12, 2023 | |
| Python | 2 | Data Driven Anderson Acceleration for Physics Informed Neural Networks to solve high dimensional partial differential … | Sep 20, 2022 | |
| None | 2 | Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" | Oct 06, 2022 | |
| Jupyter Notebook | 2 | Variational physics-informed neural network for solving the Helmholtz equation | Jun 24, 2022 | |
| Python | 45 | physics-guided neural networks (phygnn) | Aug 10, 2022 | |
| Python | 141 | compressing physics with neural networks | Sep 21, 2022 | |
| None | 5 | Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed … | Apr 19, 2023 | |
| Python | 71 | Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed … | May 21, 2022 | |
| Python | 2 | A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations | Feb 20, 2022 | |
| Jupyter Notebook | 25 | Example problems in Physics informed neural network in JAX | Apr 17, 2023 | |
| Jupyter Notebook | 89 | Simple PyTorch Implementation of Physics Informed Neural Network (PINN) | May 16, 2023 | |
| Python | 3 | Eco-toll Estimation: A Physics-informed Neural Network Approach | May 18, 2023 | |
| Jupyter Notebook | 5 | Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., … | Apr 26, 2023 | |
| Julia | 642 | Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning … | Sep 01, 2022 | |
| Julia | 2 | Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning … | Jan 27, 2023 | |
| Python | 4 | Repository of "A Physics-Informed Neural Network Approach for Nearfield Acoustic Holography" | Nov 01, 2022 | |
| Python | 74 | Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021] | May 02, 2023 | |
| Python | 6 | CoBMo - Control-oriented Building Model | Nov 04, 2021 | |
| None | 2 | Code for MultiAdam: Parameter-wise Scale-invariant Optimizer for Physics-informed Neural Network | Sep 05, 2023 | |
| Python | 3 | Code release for RSS 2023 paper "Progressive Learning for Physics-informed Neural Motion Planning" | Oct 25, 2023 | |
| Python | 22 | Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed … | Apr 28, 2023 | |
| Jupyter Notebook | 2 | A Physics Informed Neural Network to solve the time dependent Schrodinger equation. | Apr 01, 2023 |