omarrayyann / KAN-Conv2DLinks
Drop-in convolutional Kolmogorov-Arnold Network replacement of Conv2d
☆18Updated 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:
- U-Net architecture with Kolmogorov-Arnold Convolutions (KA convolutions)☆37Updated last year
- HyFormer: Hybrid Transformer and CNN For Pixel-level Multispectral Image Classification☆12Updated 2 years ago
- ☆15Updated 11 months ago
- Replacement classic layers with KAN Block for Hyperspectral data☆34Updated 6 months ago
- Fast Convolutional KAN☆59Updated last year
- Python package for 3D convolutional layers using Kolmogorov-Arnold Network (KAN)☆12Updated last year
- A modified CNN architecture using Kolmogorov-Arnold Networks☆80Updated last year
- Official implementation for "Deep Fractional Fourier Transform " [NeurIPS 2023]☆37Updated last year
- Wavelet-Attention CNN for Image Classification☆29Updated 3 years ago
- Trainable Highly-expressive Activation Functions. ECCV 2024☆38Updated 3 months ago
- MNIST example using Kolmogorov-Arnold Networks☆27Updated last year
- Adaptive wavelet pooling for CNN in PyTorch, AISTATS 2021.☆33Updated 3 years ago
- DropKAN (Dropout Kolmogorov Arnold Networks)☆13Updated 10 months ago
- Pytorch-based adaptive deformable convolution☆16Updated 3 years ago
- Code of "SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising"☆44Updated 3 weeks ago
- Official Pytorch implementation of " Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation? "☆57Updated 11 months ago
- Transformer model based on Kolmogorov–Arnold Network(KAN), which is an alternative of Multi-Layer Perceptron(MLP)☆28Updated this week
- Convolutional layer for Kolmogorov-Arnold Network (KAN)☆99Updated 2 months ago
- KAN meets Gram Polynomials☆18Updated 10 months ago
- My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing o…☆43Updated 5 months ago
- Implementation of CNN-Enhanced Graph Attention Network for Hyperspectral Image Super-Resolution Using Non-Local Self-Similarity (CEGATSR)…☆14Updated last year
- Unofficial Implementation of the Global Local Attention Module in PyTorch☆18Updated 2 years ago
- Mixed Attention Network for Hyperspectral Image Denoising☆29Updated last year
- ☆23Updated 7 months ago
- ☆20Updated 8 months ago
- [NeurIPS 2021] "Hyperparameter Tuning is All You Need for LISTA" by Xiaohan Chen, Jialin Liu, Zhangyang Wang and Wotao Yin☆23Updated 3 years ago
- [NeurIPS2023]Lightweight Vision Transformer with Bidirectional Interaction☆24Updated last year
- A comprehensive paper list of Transformer & Attention for Vision Recognition / Foundation Model, including papers, codes, and related web…☆17Updated last year
- The code of "HSR-KAN: Hyperspectral Image Super-Resolution based on Kolmogorov-Arnold Networks"☆21Updated 8 months ago
- This is a warehouse for UNetKAN-Pytorch-model, can be used to train your medical-image-datasets for segmentation tasks.☆11Updated 11 months ago