SINTEF / pseudo-hamiltonian-neural-networks
The package phlearn for modelling pseudo-Hamiltonian systems by pseudo-Hamiltonian neural networks (PHNN), for ODEs and PDEs
☆17Updated last month
Alternatives and similar repositories for pseudo-hamiltonian-neural-networks:
Users that are interested in pseudo-hamiltonian-neural-networks are comparing it to the libraries listed below
- ☆41Updated 2 years ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆18Updated 6 months ago
- Discovers high dimensional models from 1D data using deep delay autoencoders☆34Updated 2 years ago
- ☆12Updated last week
- ☆11Updated 2 years ago
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated 11 months ago
- Code and files related to random side projects☆21Updated 3 years ago
- ☆15Updated this week
- Deep learning assisted dynamic mode decomposition☆19Updated 3 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆10Updated 10 months ago
- ☆32Updated last year
- ☆53Updated 2 years ago
- Code for training and inferring acoustic wave propagation in 3D☆35Updated 4 months ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆29Updated last month
- Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆30Updated 5 months ago
- ☆12Updated last year
- ☆12Updated last year
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆18Updated 11 months ago
- ☆10Updated 4 months ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆23Updated last year
- Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid …☆35Updated 2 years ago
- A toolbox for learning with neural ODEs.☆11Updated 2 years ago
- ☆14Updated 3 years ago
- ☆15Updated 3 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆29Updated 3 years ago
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆26Updated 5 months ago
- Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"☆40Updated last year
- SINDy-SA Framework: Enhancing nonlinear system identification with sensitivity analysis☆11Updated 2 years ago
- ☆13Updated 5 years ago