The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling
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Updated
Sep 9, 2024 - Python
The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling
Kolmogorov-Arnold Transformer: A PyTorch Implementation with CUDA kernel
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.
TKAN: Temporal Kolmogorov-Arnold Networks
Improved LBFGS and LBFGS-B optimizers in PyTorch.
This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
Combine B-Splines (BS) and Radial Basis Functions (RBF) in Kolmogorov-Arnold Networks (KANs)
Short experiment with Deep Q-Learning + KAN to play Flappy Bird.
SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series
Code for Kolmogorov-Arnold Network for Quantum Architecture Search i.e., KANQAS
FC-KAN: Function Combinations in Kolmogorov-Arnold Networks
Semi-supervised learning with Generative Adversarial Networks (GANs) using Kolmogorov-Arnold Network Layers (KANLs)
KANs for text classification on GLUE tasks
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.
D<ee>p learning [dev library]
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:)
Implementing KANs with TensorFlow
KAN to classify handwritten digits from the MNIST dataset, providing efficient predictions and automated data handling.
E-KAN algorithm official repo with material to reproduce the experiments
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