sch0ngut / machine-learning-of-pdes
Code of my master's thesis on "Physics Informed Machine Learning of Nonlinear Partial Differential Equations"
☆9Updated 3 years ago
Alternatives and similar repositories for machine-learning-of-pdes:
Users that are interested in machine-learning-of-pdes are comparing it to the libraries listed below
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated 10 months ago
- ☆9Updated last year
- DeepONet extrapolation☆26Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆24Updated 3 weeks ago
- ☆21Updated 3 years ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆20Updated last year
- This is the implementation of the RecFNO.☆19Updated 2 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 4 years ago
- ☆53Updated 2 years ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆23Updated 11 months ago
- ETH Zürich AI in the Sciences and Engineering Master's course 2024☆30Updated 8 months ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 4 years ago
- ☆19Updated 4 years ago
- Sparse Physics-based and Interpretable Neural Networks☆48Updated 3 years ago
- ☆40Updated 2 years ago
- Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"☆38Updated 11 months ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆18Updated 10 months ago
- Yet another PINN implementation☆20Updated 9 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆27Updated last year
- ☆12Updated last week
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- ☆18Updated last year
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆23Updated 2 years ago
- Physics Informed Fourier Neural Operator☆19Updated 4 months ago
- ☆31Updated last year
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- POD-PINN code and manuscript☆50Updated 4 months ago
- ☆26Updated 2 years ago