seydi1370 / Basis_FunctionsLinks
☆16Updated last year
Alternatives and similar repositories for Basis_Functions
Users that are interested in Basis_Functions are comparing it to the libraries listed below
Sorting:
- Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.☆41Updated last year
- Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.☆39Updated last year
- Implementation of Rational Kolmogorov-Arnold Network (rKAN)☆17Updated last year
- FC-KAN: Function Combinations in Kolmogorov-Arnold Networks☆36Updated 3 weeks ago
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆27Updated last year
- Implementation of Fractional Kolmogorov-Arnold Network (fKAN)☆26Updated 10 months ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 3 months ago
- Official repository for Physics Informed Token Transformer (PITT)☆21Updated last year
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- ☆15Updated 2 years ago
- ☆24Updated 6 months ago
- This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…☆156Updated 6 months ago
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆15Updated last year
- A modified CNN architecture using Kolmogorov-Arnold Networks☆84Updated last year
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆14Updated last year
- ☆16Updated last year
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆47Updated 3 months ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆14Updated last year
- Domain Agnostic Fourier Neural Operators (DAFNO)☆19Updated last year
- About Code release for “RoPINN: Region Optimized Physics-Informed Neural Networks” (NeurIPS 2024), https://arxiv.org/abs/2405.14369☆58Updated 5 months ago
- Pytorch Implmentation of Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series (ACSSM), ICLR 2025 Oral☆21Updated 9 months ago
- Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc☆35Updated last year
- Combine B-Splines (BS) and Radial Basis Functions (RBF) in Kolmogorov-Arnold Networks (KANs)☆28Updated 2 weeks ago
- Benchmark for efficiency in memory and time of different KAN implementations.☆136Updated last year
- ☆20Updated 2 weeks ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆35Updated last year
- Tackling the Curse of Dimensionality with Physics-Informed Neural Networks☆15Updated last year
- DropKAN (Dropout Kolmogorov Arnold Networks)☆17Updated 5 months ago
- Benchmarking and Testing FastKAN☆88Updated last year