KAN to classify handwritten digits from the MNIST dataset, providing efficient predictions and automated data handling.
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Updated
Sep 20, 2024 - Python
KAN to classify handwritten digits from the MNIST dataset, providing efficient predictions and automated data handling.
DL model deployment using docker, API deployment with FastAPI, and MLOps using WandB for overhead-mnist dataset
Just experimenting with KANNs in pytorch
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.
Code and thesis document for my Bachelor's diploma on Kolmogorov-Arnold Networks
applying kolmogorov-arnold networks to problems in chemical physics
This is a GPT model from nanoGPT but with a twist of KAN:)
Residual Kolmogorov-Arnold Network (RKAN) is designed to enhance the performance of classic CNNs by incorporating RKAN blocks into existing architectures.
Implementing KANs with TensorFlow
This repo is dedicated to the mystery of Kolmogorov-Arnold world !!!
E-KAN algorithm official repo with material to reproduce the experiments
A multi-agent deep reinforcement learning model to de-traffic our lives
KAN
D<ee>p learning [dev library]
Testing the practicality and utility of KANs applied to photometric redshift prediction. V1.0.0 presented in LSSDS 2024.
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
Kolmogorov-Arnold Networks simple implementation using pytorch
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