maziarraissi / MultistepNNsView external linksLinks
Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
☆63Feb 20, 2020Updated 5 years ago
Alternatives and similar repositories for MultistepNNs
Users that are interested in MultistepNNs are comparing it to the libraries listed below
Sorting:
- Deep Learning of Turbulent Scalar Mixing☆17Oct 6, 2019Updated 6 years ago
- Machine learning of linear differential equations using Gaussian processes☆26May 2, 2018Updated 7 years ago
- Tutorial on a number of topics in Deep Learning☆37Feb 20, 2020Updated 5 years ago
- Deep Learning of Vortex Induced Vibrations☆99Feb 21, 2020Updated 5 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆285Jul 30, 2022Updated 3 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24May 2, 2018Updated 7 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆156Feb 20, 2020Updated 5 years ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆149Feb 20, 2020Updated 5 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69May 26, 2020Updated 5 years ago
- Backpropagation in Python, C++, and Cuda☆47Feb 17, 2020Updated 6 years ago
- Parametric Gaussian Process Regression for Big Data☆45Feb 20, 2020Updated 5 years ago
- Deep learning framework for model reduction of dynamical systems☆21Dec 31, 2020Updated 5 years ago
- This repository contains the MATLAB implementation of popular numerical methods in Computation Fluid dynamics. Starting from simple meth…☆11Dec 3, 2021Updated 4 years ago
- POD-PINN code and manuscript☆57Nov 10, 2024Updated last year
- ☆26Jun 16, 2018Updated 7 years ago
- Introduction to Machine Learning in R☆23May 7, 2021Updated 4 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆23Nov 29, 2022Updated 3 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Jan 28, 2021Updated 5 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆25May 30, 2023Updated 2 years ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆14Aug 24, 2024Updated last year
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆16Dec 14, 2021Updated 4 years ago
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆15Feb 27, 2021Updated 4 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Apr 10, 2021Updated 4 years ago
- Spanwise-averaged Navier–Stokes modelling through convolutional neural network☆14May 17, 2024Updated last year
- ☆15Jan 21, 2021Updated 5 years ago
- This is a replication of "CFD Python: 12 steps to Navier-Stokes" in Julia☆42Mar 25, 2017Updated 8 years ago
- Tutorial on Gaussian Processes☆65Feb 20, 2020Updated 5 years ago
- Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs + Adaptative Loss Weights with JAX 📓 Check out our various notebooks to g…☆45Updated this week
- This repository introduces Partial Differential Equation Solver using neural network that can learn resolution-invariant solution operato…☆17Nov 23, 2021Updated 4 years ago
- Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.☆26Dec 22, 2022Updated 3 years ago
- Geometric Neural Operators (GNPs) for machine learning tasks on point-cloud representations: curvature estimation, shape deformations, so…☆32Updated this week
- Physics-informed neural networks☆16Nov 26, 2020Updated 5 years ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Jun 19, 2024Updated last year
- Soving heat transfer problems using PINN with tf2.0☆21Jun 27, 2021Updated 4 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Mar 25, 2023Updated 2 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆17May 14, 2021Updated 4 years ago
- ☆54Oct 9, 2022Updated 3 years ago
- Rheology-informed Machine Learning Projects☆23Apr 8, 2024Updated last year