roxie62 / neural_operators_for_chaosLinks
☆10Updated 4 months ago
Alternatives and similar repositories for neural_operators_for_chaos
Users that are interested in neural_operators_for_chaos are comparing it to the libraries listed below
Sorting:
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 2 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆11Updated last year
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 3 years ago
- Neural Galerkin☆16Updated last year
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆26Updated last month
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 4 months ago
- Differential equation neural operator☆22Updated last year
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- ☆42Updated 2 years ago
- ☆35Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆34Updated 4 months ago
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆27Updated 8 months ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- ☆21Updated 2 years ago
- The public repository about our joint FINN research project☆37Updated 2 years ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆39Updated 8 months ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆15Updated 10 months ago
- ☆39Updated 4 months ago
- Spectral Neural Operator☆79Updated last year
- Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"☆46Updated last year
- ☆17Updated 3 weeks ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆20Updated 8 months ago
- ☆11Updated last week
- ☆14Updated last year
- ☆12Updated 2 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆26Updated 3 years ago
- ☆17Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆63Updated 2 months ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆47Updated last year