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Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
一些关于目标检测的脚本的改进思路代码,详细请看readme.md
Kolmogorov Arnold Networks
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Pytorch implementation of the 'Slim-neck by GSConv: a lightweight-design for real-time detector architectures'
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.
这是一个上传的代码,为了完成Homework
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