Testing KAN-based text generation GPT models

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.

KAN

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.

Fourier-KAN, Lapalce-KAN and wavelet-KAN

Just experimenting with KANNs in pytorch

Experiments on using Kolmogorov-Arnold Networks (KAN) on Graph Learning

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

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

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

SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series

This project is dedicated to the implementation and research of Kolmogorov-Arnold convolutional networks. The repository includes implementations of 1D, 2D, and 3D convolutions with different kernels, ResNet-like and DenseNet-like models, training code based on accelerate/PyTorch, as well as scripts for experiments with CIFAR-10 and Tiny ImageNet.

KAN meets Gram Polynomials

KANs for text classification on GLUE tasks

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

Semi-supervised learning with Generative Adversarial Networks (GANs) using Kolmogorov-Arnold Network Layers (KANLs)

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

Code and thesis document for my Bachelor's diploma on Kolmogorov-Arnold Networks

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