alirezaafzalaghaei / rKANLinks
Implementation of Rational Kolmogorov-Arnold Network (rKAN)
☆17Updated 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 10 months ago
- Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.☆41Updated last year
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆49Updated 3 months ago
- ☆16Updated last year
- ☆24Updated 5 months ago
- Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.☆39Updated last year
- ☆28Updated 11 months ago
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆47Updated 3 months ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆19Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- ☆35Updated last year
- ☆19Updated last year
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆27Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆75Updated 7 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 3 months ago
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆16Updated last year
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆77Updated 8 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆75Updated last year
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆25Updated last year
- Introductory workshop on using deep neural networks for symbolic regression☆13Updated 7 months ago
- ☆18Updated last year
- ☆55Updated 3 years ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆26Updated last year
- Multiwavelets-based operator model☆68Updated 3 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Updated 2 years ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆26Updated last year
- [ICLR 2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data☆61Updated 3 months ago
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆16Updated last year