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FSC_LNML-Algorithm

Matlab code for paper "Wei et al. Fuzzy subspace clustering noisy image segmentation algorithm with adaptive local variance & non-local information and mean membership linking" Engineering Applications of Artificial Intelligence. Please kindly cite this paper as you like. Thank you.

AF-graph

Source code for the paper "Affinity Fusion Graph-based Framework for Natural Image Segmentation".

anfis-pytorch

Implementation of ANFIS using the pyTorch framework

awesome-multi-view-clustering

collections for advanced, novel multi-view clustering methods(papers , codes and datasets)

Block-Diagonal-Representation-for-Subspace-Clustering

Subspace Clustering by Block Diagonal Representation

Co-FW-MVFCM

code of "Collaborative feature-weighted multi-view fuzzy c-means clustering" published in Pattern Recognition 2021

Collaborative_MVFCM

A MatLab implementation of paper "Collaborative feature-weighted multi-view fuzzy c-means clustering."

Convolutional-KANs

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

EssentialMath

FCM-RDpA

source code for FCM-RDpA paper

GraphKAN-Graph-Kolmogorov-Arnold-Networks

k-CMM

This project proposes an algorithm named k-CMM for Clustering Mixed Numeric and Categorical Data with Missing Values

KDD2019_K-Multiple-Means

Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

latex_paper_writing_tips

Tips for Writing a Research Paper using LaTeX

LibADMM-toolbox

A Library of ADMM for Sparse and Low-rank Optimization

lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

mdistiller

A Knowledge Distillation Toolbox. The official implementation of https://arxiv.org/abs/2203.08679

MGSR

Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band Selection

MKKM_RK

mlTSK

Matlab toolbox: Optimize TSK fuzzy systems for regression and classification on big data

OS-Study-Note

上海交通大学软件学院📕操作系统课程🍃学习笔记🌞现代操作系统原理与实现

Partial_Distance_Correlation

This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022

pykan

Kolmogorov Arnold Networks

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

Quantum_TP_Identification_DNN

The code and supplemented documents for the paper "Quantum topology identification with deep neural networks and quantum walks" that will be published on NPJ computational materials

random-fourier-features-1

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

SynthNet

Fuzzy Deep Neural Network.

WSGL

Codes of “Watershed-based Superpixels with Global and Local Boundary Marching”