omarrayyann / KAN-Conv2DLinks
Drop-in convolutional Kolmogorov-Arnold Network
☆19Updated last year
Alternatives and similar repositories for KAN-Conv2D
Users that are interested in KAN-Conv2D are comparing it to the libraries listed below
Sorting:
- Convolutional layer for Kolmogorov-Arnold Network (KAN)☆115Updated 10 months ago
- Fast Convolutional KAN☆66Updated last year
- This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…☆158Updated 7 months ago
- A modified CNN architecture using Kolmogorov-Arnold Networks☆84Updated last year
- U-Net architecture with Kolmogorov-Arnold Convolutions (KA convolutions)☆46Updated 5 months ago
- Kolmogorov-Arnold Networks in MATLAB☆58Updated 7 months ago
- Implementation of Complex Valued Neural Networks in Pytorch 🧠☆56Updated 10 months ago
- KAN meets Gram Polynomials☆19Updated last year
- MNIST example using Kolmogorov-Arnold Networks☆28Updated last year
- An implementation of mLSTM and sLSTM in PyTorch.☆28Updated last year
- KAN for Vision Transformer☆256Updated last year
- FastONN - Python based open-source GPU implementation for Operational Neural Networks☆29Updated last year
- KAE : KAN-based AutoEncoder (AE, VAE, VQ-VAE, RVQ, etc.)☆38Updated last year
- It contains the code for the paper Deep Adaptive Wavelet Network☆74Updated 3 years ago
- ☆17Updated last year
- Replacement classic layers with KAN Block for Hyperspectral data☆40Updated last year
- Python package for 3D convolutional layers using Kolmogorov-Arnold Network (KAN)☆13Updated last year
- Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports☆91Updated last year
- Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)☆108Updated 4 months ago
- ☆58Updated last year
- Combine B-Splines (BS) and Radial Basis Functions (RBF) in Kolmogorov-Arnold Networks (KANs)☆28Updated 2 months ago
- A easy to use implementation of xLSTM☆66Updated 5 months ago
- Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end☆192Updated 7 months ago
- Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.☆42Updated last year
- ☆140Updated last year
- Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"☆118Updated 3 weeks ago
- ☆14Updated last year
- Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.☆261Updated last year
- Adaptive wavelet pooling for CNN in PyTorch, AISTATS 2021.☆32Updated 4 years ago
- ☆22Updated 5 years ago