MPTCO / FiniteNetLinks
Code for the FiniteNet ICML Paper
☆18Updated 5 years ago
Alternatives and similar repositories for FiniteNet
Users that are interested in FiniteNet are comparing it to the libraries listed below
Sorting:
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆87Updated 4 years ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields☆68Updated 4 years ago
- POD-PINN code and manuscript☆52Updated 9 months ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆81Updated this week
- ☆25Updated 7 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆89Updated 2 years ago
- ☆63Updated 6 years ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆38Updated 4 years ago
- ☆27Updated last year
- ☆116Updated 6 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 2 months ago
- Python wrapper for the Johns Hopkins turbulence database library☆106Updated last year
- Turbulent flow network source code☆70Updated 5 months ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆93Updated 6 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆41Updated 2 years ago
- ☆54Updated 2 years ago
- ☆21Updated 4 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence☆68Updated 2 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 4 months ago
- Deep learning library for solving differential equations on top of PyTorch.☆61Updated 5 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆25Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- MIONet: Learning multiple-input operators via tensor product☆37Updated 2 years ago