DENG-MIT / KAN-ODEsLinks
The code is associated with the paper entitled "KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics"
☆33Updated last month
Alternatives and similar repositories for KAN-ODEs
Users that are interested in KAN-ODEs are comparing it to the libraries listed below
Sorting:
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆45Updated 2 years ago
- ☆12Updated 2 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 3 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆66Updated 3 months ago
- The public repository about our joint FINN research project☆38Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆51Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆79Updated 3 months ago
- ☆21Updated 2 months ago
- Neural Galerkin☆16Updated last year
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆56Updated 7 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 2 months ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 8 years ago
- ☆57Updated 7 months ago
- ☆38Updated 2 years ago
- ☆32Updated 2 years ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆28Updated 4 months ago
- ☆50Updated 11 months ago
- ☆45Updated 5 months ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 3 years ago
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- Synthetic Lagrangian Turbulence by Generative Diffusion Models☆25Updated 9 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆15Updated last year
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆27Updated 2 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- ☆21Updated 5 months ago
- ☆42Updated 5 years ago
- Differential equation neural operator☆23Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆35Updated 5 months ago
- ☆98Updated 3 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Updated 9 months ago