alirezaafzalaghaei / rKANLinks
Implementation of Rational Kolmogorov-Arnold Network (rKAN)
☆18Updated last year
Alternatives and similar repositories for rKAN
Users that are interested in rKAN are comparing it to the libraries listed below
Sorting:
- Implementation of Fractional Kolmogorov-Arnold Network (fKAN)☆26Updated 11 months ago
- Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.☆42Updated last year
- ☆28Updated last year
- ☆16Updated last year
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆53Updated 3 months ago
- Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.☆39Updated last year
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆49Updated 4 months ago
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆28Updated last year
- ☆25Updated 6 months ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆19Updated last year
- ☆19Updated last year
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆79Updated 8 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated last year
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆25Updated last year
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆16Updated last year
- Introductory workshop on using deep neural networks for symbolic regression☆13Updated 8 months ago
- [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems☆45Updated last month
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 3 months ago
- [ICLR 2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data☆61Updated 4 months ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆26Updated last year
- ☆36Updated last year
- ☆52Updated 8 months ago
- Fast Convolutional KAN☆66Updated last year
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- Multiwavelets-based operator model☆69Updated 3 years ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆26Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆75Updated last year
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆36Updated last year
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Updated 2 years ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆25Updated last year