analysiscenter / pydensLinks
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
☆309Updated last year
Alternatives and similar repositories for pydens
Users that are interested in pydens are comparing it to the libraries listed below
Sorting:
- Deep learning for Engineers - Physics Informed Deep Learning☆343Updated last year
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆279Updated 2 years ago
- ☆214Updated 3 years ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆152Updated 6 months ago
- ☆116Updated 5 years ago
- Physics-Informed Neural networks for Advanced modeling☆528Updated this week
- Hidden physics models: Machine learning of nonlinear partial differential equations☆145Updated 5 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆201Updated 2 years ago
- ☆182Updated 3 months ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆261Updated last year
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆233Updated 8 months ago
- OSS library that implements deep learning methods for partial differential equations and much more☆444Updated 2 months ago
- ☆316Updated 2 months ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆114Updated 3 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆137Updated 3 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆432Updated 2 weeks ago
- Solving PDEs with NNs☆54Updated 2 years ago
- ☆145Updated 3 years ago
- ☆253Updated 2 years ago
- A place to share problems solved with SciANN☆283Updated last year
- ☆97Updated 3 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆236Updated 3 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆176Updated 4 years ago
- Applications of PINOs☆128Updated 2 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆148Updated 5 years ago
- ☆465Updated 3 months ago
- ☆193Updated 4 years ago
- Python package for solving partial differential equations using finite differences.☆444Updated 3 weeks ago
- Automatic Differentiation Library for Computational and Mathematical Engineering☆301Updated last year
- ☆354Updated 2 years ago