alirezaafzalaghaei / rKAN
Implementation of Rational Kolmogorov-Arnold Network (rKAN)
☆13Updated 8 months ago
Alternatives and similar repositories for rKAN:
Users that are interested in rKAN are comparing it to the libraries listed below
- Implementation of Fractional Kolmogorov-Arnold Network (fKAN)☆22Updated last month
- Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.☆35Updated 3 months ago
- Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.☆37Updated 10 months ago
- ☆14Updated 9 months ago
- This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.☆28Updated 8 months ago
- U-Net architecture with Kolmogorov-Arnold Convolutions (KA convolutions)☆34Updated 9 months ago
- Combine B-Splines (BS) and Radial Basis Functions (RBF) in Kolmogorov-Arnold Networks (KANs)☆24Updated last month
- Kolmogorov-Arnold networks (KAN) as implicit functions (like NeRF but simpler)☆14Updated 9 months ago
- Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)☆103Updated 4 months ago
- Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc☆32Updated 10 months ago
- DropKAN (Dropout Kolmogorov Arnold Networks)☆12Updated 7 months ago
- C++ and Cuda ops for fused FourierKAN☆76Updated 10 months ago
- A pytorch implementation of Fourier Analysis Networks (FAN)☆31Updated 5 months ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆24Updated 2 years ago
- Fast Convolutional KAN☆58Updated 9 months ago
- ☆86Updated 9 months ago
- ☆26Updated 3 years ago
- FC-KAN: Function Combinations in Kolmogorov-Arnold Networks☆30Updated 2 weeks ago
- Deep Learning - Predicting using Neural Ordinary Differential Equations - torchdiffeq.☆15Updated 4 years ago
- Benchmarking and Testing FastKAN☆72Updated 9 months ago
- Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023☆12Updated last year
- Benchmark for efficiency in memory and time of different KAN implementations.☆119Updated 6 months ago
- ☆12Updated 9 months ago
- ☆38Updated 10 months ago
- Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting☆42Updated 2 months ago
- ☆10Updated 5 years ago
- [NeurIPS 2024, spotlight] Multivariate Learned Adaptive Noise for Diffusion Models☆16Updated 3 months ago
- A simple example of VAEs with KANs☆12Updated 9 months ago
- Generative Equilibrium Transformer☆17Updated last year
- [ICLR2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data☆33Updated last month