analysiscenter / pydensLinks
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
☆312Updated 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☆353Updated last year
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆283Updated 3 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆147Updated 5 years ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆157Updated 10 months ago
- ☆197Updated 8 months ago
- ☆117Updated 6 years ago
- ☆230Updated 4 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆243Updated last year
- Characterizing possible failure modes in physics-informed neural networks.☆145Updated 4 years ago
- ☆272Updated 3 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆264Updated 2 years 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
- Solving PDEs with NNs☆55Updated 2 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 6 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆223Updated 2 years ago
- A place to share problems solved with SciANN☆297Updated 2 years ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆769Updated 4 months ago
- OSS library that implements deep learning methods for partial differential equations and much more☆455Updated 2 months ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆495Updated last week
- ☆380Updated 3 weeks ago
- Python package for solving partial differential equations using finite differences.☆449Updated last week
- ☆195Updated 4 years ago
- ☆105Updated 4 years ago
- ☆63Updated 6 years ago
- PyTorch-FEniCS interface☆103Updated 4 years ago
- Using graph network to solve PDEs☆421Updated 6 months ago
- ☆158Updated 3 years ago
- Introductory workshop on PINNs using the harmonic oscillator☆132Updated 2 weeks ago
- Physics-Informed Neural networks for Advanced modeling☆672Updated this week
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆260Updated 4 years ago