analysiscenter / pydensLinks
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
☆313Updated 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☆351Updated last year
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆280Updated 3 years ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆157Updated 9 months ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆147Updated 5 years ago
- ☆225Updated 4 years ago
- ☆116Updated 6 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆240Updated last year
- Solving PDEs with NNs☆55Updated 2 years ago
- ☆194Updated 6 months ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆116Updated 3 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆262Updated last year
- ☆264Updated 2 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆178Updated 4 years ago
- Physics-Informed Neural networks for Advanced modeling☆579Updated last week
- Characterizing possible failure modes in physics-informed neural networks.☆143Updated 3 years ago
- Python package for solving partial differential equations using finite differences.☆446Updated last week
- ☆194Updated 4 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆463Updated 2 weeks ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 6 years ago
- ☆365Updated last month
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆216Updated 2 years ago
- A place to share problems solved with SciANN☆292Updated last year
- ☆99Updated 4 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆251Updated 4 years ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆766Updated 3 months ago
- Code for "Learning data-driven discretizations for partial differential equations"☆169Updated 2 months ago
- PyTorch-FEniCS interface☆102Updated 4 years ago
- Automatic Differentiation Library for Computational and Mathematical Engineering☆304Updated 2 years ago
- Using graph network to solve PDEs☆419Updated 4 months ago
- ☆152Updated 3 years ago