Residual Kolmogorov-Arnold Network (RKAN) is designed to enhance the performance of classic CNNs by incorporating RKAN blocks into existing architectures.
-
Updated
Oct 4, 2024 - Python
Residual Kolmogorov-Arnold Network (RKAN) is designed to enhance the performance of classic CNNs by incorporating RKAN blocks into existing architectures.
FC-KAN: Function Combinations in Kolmogorov-Arnold Networks
Kolmogorov-Arnold Transformer: A PyTorch Implementation with CUDA kernel
Implementing KANs with TensorFlow
KAN to classify handwritten digits from the MNIST dataset, providing efficient predictions and automated data handling.
CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis
The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling
TKAN: Temporal Kolmogorov-Arnold Networks
Improved LBFGS and LBFGS-B optimizers in PyTorch.
Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.
Combine B-Splines (BS) and Radial Basis Functions (RBF) in Kolmogorov-Arnold Networks (KANs)
This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
D<ee>p learning [dev library]
Code for Kolmogorov-Arnold Network for Quantum Architecture Search i.e., KANQAS
Kolmogorov-Arnold Networks simple implementation using pytorch
This repo is dedicated to the mystery of Kolmogorov-Arnold world !!!
Code and thesis document for my Bachelor's diploma on Kolmogorov-Arnold Networks
Short experiment with Deep Q-Learning + KAN to play Flappy Bird.
Add a description, image, and links to the kolmogorov-arnold-networks topic page so that developers can more easily learn about it.
To associate your repository with the kolmogorov-arnold-networks topic, visit your repo's landing page and select "manage topics."