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:
- FC-KAN: Function Combinations in Kolmogorov-Arnold Networks☆37Updated 2 weeks ago
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆25Updated 9 months ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆12Updated last year
- Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.☆38Updated 10 months ago
- Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.☆40Updated last year
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 3 years ago
- ☆17Updated this week
- ☆16Updated last year
- Implementation of Fractional Kolmogorov-Arnold Network (fKAN)☆26Updated 8 months ago
- About Code release for “RoPINN: Region Optimized Physics-Informed Neural Networks” (NeurIPS 2024), https://arxiv.org/abs/2405.14369☆57Updated 2 months ago
- ☆15Updated last year
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆34Updated last year
- Domain Agnostic Fourier Neural Operators (DAFNO)☆16Updated last year
- Combine B-Splines (BS) and Radial Basis Functions (RBF) in Kolmogorov-Arnold Networks (KANs)☆27Updated 4 months ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 2 weeks ago
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆15Updated last year
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆17Updated last year
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆43Updated last month
- ☆37Updated 2 weeks ago
- This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…☆148Updated 3 months ago
- Tackling the Curse of Dimensionality with Physics-Informed Neural Networks☆14Updated last year
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated 9 months ago
- ☆22Updated 3 months ago
- Repository for some of the experiments presented in the paper "Deep Learning Alternatives of the Kolmogorov Superposition Theorem", accep…☆19Updated 5 months ago
- Multiwavelets-based operator model☆64Updated 3 years ago
- Better implementation of Kolmogorov Arnold Network☆26Updated last year
- Official repository for Physics Informed Token Transformer (PITT)☆20Updated last year
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆24Updated last year
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆56Updated 2 weeks ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated 2 years ago