analysiscenter / pydensLinks
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
☆311Updated 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☆347Updated last year
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆279Updated 3 years ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆153Updated 6 months ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆146Updated 5 years ago
- ☆254Updated 2 years ago
- Solving PDEs with NNs☆55Updated 2 years ago
- ☆184Updated 4 months ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆234Updated 9 months ago
- ☆116Updated 6 years ago
- ☆218Updated 3 years 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
- OSS library that implements deep learning methods for partial differential equations and much more☆449Updated 3 weeks ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆262Updated last year
- 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…☆437Updated last month
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆177Updated 4 years ago
- Physics-Informed Neural networks for Advanced modeling☆540Updated this week
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆753Updated last week
- ☆97Updated 3 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 5 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆203Updated 2 years ago
- A place to share problems solved with SciANN☆284Updated last year
- ☆145Updated 3 years ago
- ☆327Updated 3 months ago
- ☆193Updated 4 years ago
- Applications of PINOs☆129Updated 2 years ago
- Python package for solving partial differential equations using finite differences.☆445Updated 2 weeks ago
- Physics Informed Neural Network (PINN) for the wave equation.☆182Updated 5 years ago
- ☆170Updated last year
- Code for "Learning data-driven discretizations for partial differential equations"☆168Updated 5 years ago