maziarraissi / HPMView external linksLinks
Hidden physics models: Machine learning of nonlinear partial differential equations
☆149Feb 20, 2020Updated 5 years ago
Alternatives and similar repositories for HPM
Users that are interested in HPM are comparing it to the libraries listed below
Sorting:
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆285Jul 30, 2022Updated 3 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69May 26, 2020Updated 5 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
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Feb 20, 2020Updated 5 years ago
- Deep Learning of Turbulent Scalar Mixing☆17Oct 6, 2019Updated 6 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆156Feb 20, 2020Updated 5 years ago
- Parametric Gaussian Process Regression for Big Data☆45Feb 20, 2020Updated 5 years ago
- Hidden Fluid Mechanics☆353Jan 30, 2023Updated 3 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- Deep Learning of Vortex Induced Vibrations☆99Feb 21, 2020Updated 5 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24May 2, 2018Updated 7 years ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,561May 23, 2024Updated last year
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- ☆26Jun 16, 2018Updated 7 years ago
- ☆63Jul 24, 2019Updated 6 years ago
- ☆11Mar 31, 2021Updated 4 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆313Feb 9, 2024Updated 2 years ago
- Soving heat transfer problems using PINN with tf2.0☆21Jun 27, 2021Updated 4 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Oct 30, 2023Updated 2 years ago
- Tutorial on Gaussian Processes☆65Feb 20, 2020Updated 5 years ago
- Adaptive multiphase flow through porous media☆28Nov 28, 2015Updated 10 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆88Aug 26, 2025Updated 5 months ago
- Code and data in support of publication on Cardiac PINN☆23Apr 24, 2021Updated 4 years ago
- Yaksa: High-performance Noncontiguous Data Management☆14Oct 1, 2025Updated 4 months ago
- PyTorch implemetation of multi-layer quasi-geostrophic model on rectangular domain with solid boundaries.☆14May 9, 2022Updated 3 years ago
- Physics-informed neural networks package☆340Jul 20, 2022Updated 3 years ago
- A library for scientific machine learning and physics-informed learning☆3,866Dec 12, 2025Updated 2 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆77Aug 4, 2023Updated 2 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆151Oct 18, 2019Updated 6 years ago
- ☆168Jun 27, 2022Updated 3 years ago
- CSCI-5636 Numerical Solution of Partial Differential Equations☆17Dec 8, 2018Updated 7 years ago
- ☆273Nov 4, 2022Updated 3 years ago
- A tutorial for students that surveys basic ML techniques in ipython notebook format.☆30Aug 23, 2019Updated 6 years ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Jan 7, 2022Updated 4 years ago
- Spanwise-averaged Navier–Stokes modelling through convolutional neural network☆14May 17, 2024Updated last year
- ☆17Apr 9, 2025Updated 10 months ago
- This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…☆24Jan 30, 2020Updated 6 years ago