KAN to classify handwritten digits from the MNIST dataset, providing efficient predictions and automated data handling.

Kolmogorov-Arnold Networks simple implementation using pytorch

E-KAN algorithm official repo with material to reproduce the experiments

This is a GPT model from nanoGPT but with a twist of KAN:)

A multi-agent deep reinforcement learning model to de-traffic our lives

KAN

Fourier-KAN, Lapalce-KAN and wavelet-KAN

Code for Kolmogorov-Arnold Network for Quantum Architecture Search i.e., KANQAS

Short experiment with Deep Q-Learning + KAN to play Flappy Bird.

DL model deployment using docker, API deployment with FastAPI, and MLOps using WandB for overhead-mnist dataset

This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.

Residual Kolmogorov-Arnold Network (RKAN) is designed to enhance the performance of classic CNNs by incorporating RKAN blocks into existing architectures.

Testing KAN-based text generation GPT models

Implementing KANs with TensorFlow

Just experimenting with KANNs in pytorch

This repo is dedicated to the mystery of Kolmogorov-Arnold world !!!

This is the repo for the MixKABRN Neural Network (Mixture of Kolmogorov-Arnold Bit Retentive Networks), and an attempt at first adapting it for training on text, and later adjust it for other modalities.

An implementation of the KAN architecture using learnable activation functions for knowledge distillation on the MNIST handwritten digits dataset. The project demonstrates distilling a three-layer teacher KAN model into a more compact two-layer student model, comparing the performance impacts of distillation versus non-distilled models.