XXXly

XXXly's Stars

• rasmusbergpalm/DeepLearnToolbox

  Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

  Language:Matlab3.8k4651382.3k

• jundongl/scikit-feature

  open-source feature selection repository in python

  Language:Python1.5k6056442

• percyliang/cs229t

  Statistical Learning Theory (CS229T) Lecture Notes

  Language:TeX717231134

• rbgirshick/voc-dpm

  Object detection system using deformable part models (DPMs) and latent SVM (voc-release5). You may want to use the latest tarball on my website. The github code may include code changes that have not been tested as thoroughly and will not necessarily reproduce the results on the website.

  Language:Matlab5806629304

• huangwb8/ChineseResearchLaTeX

  **科研常用LaTeX模板集

  Language:TeX48691867

• JingweiToo/Wrapper-Feature-Selection-Toolbox

  This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.

  Language:MATLAB17331137

• CHLWR/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.

  Language:MATLAB830125

• stephenbeckr/SparsifiedKMeans

  KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means

  Language:MATLAB599547

• upup123/AAAI-2019-AFS

  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".

  Language:Python442715

• giorgioroffo/Infinite-Feature-Selection

  Infinite Feature Selection: a Graph-based Feature Filtering Approach

  Language:MATLAB39227

• sechidis/2018-MLJ-Semi-supervised-feature-selection

  Matlab code of the paper "Simple Strategies for Semi-Supervised Feature Selection", published in Machine Learning Journal

  Language:Matlab271010

• muzichao/Algorithm-in-books

  algorithm introduced in some programming books

  Language:C++266155

• ShinyWang33/eSL-Net-Plusplus

  eSL-Net++

  Language:Python19311

• toshiakit/apriori

  Market Basket Analysis with MATLAB

  Language:Matlab183010

• farhadabedinzadeh/AutoUFSTool

  Auto-UFSTool - An Automatic MATLAB Toolbox for Unsupervised Feature Selection

  Language:MATLAB17121

• Robert0812/dense_feat

  package for dense color histogram and dense SIFT feature extraction

  Language:Matlab165013

• panda1949/AEFS

  Code for paper "Autoencoder Inspired Unsupervised Feature Selection"

  Language:MATLAB15327

• StevenWangNPU/L20_FS_IJCAI2020

  Discriminative Feature Selection via A Structured Sparse Subspace Learning Module

  Language:MATLAB12107

• misteru/MGAGR

  Robust Unsupervised Feature Selection via Multi-Group Adaptive Graph Representation

  Language:MATLAB106

• Guanjunyi/SMMP-A-Stable-Membership-based-Auto-tuning-Multi-Peak-Clustering-Algorithm

  A stable-membership-based auto-tuning multi-peak clustering algorithm (SMMP) is proposed, which can achieve fast, automatic, and effective multi-prototype clustering without iteration.

  Language:MATLAB81

• misteru/SSDS

  Autoencoder-like and Data-grouping Strategy for Unsupervised Feature Selection

  Language:MATLAB5100

• aasdlaca/NRASP

  Implementation For Unsupervised Feature Selection via Nonlinear Representation and Adaptive Structure Preservation (NRASP)

  Language:MATLAB4101

• DavidCohen2/ManiFeSt

  We propose a novel few-sample supervised feature selection (FS) method. It learns class-specific feature space manifolds using multi-feature association kernels. The composite kernel captures differences in learned associations, and a spectral-based FS score is derived using Riemannian geometry.

  Language:Python3111

• MarathonZhenyuMa/2023-TNNLS-FSDK

  Source Code for Fast Sparse Discriminative K-Means for Unsupervised Feature Selection (FSDK) published on T-NNLS

  Language:MATLAB3101

• StevenWangNPU/ReOLSR_NC2018

  Multiclass Classifcation and Feature Selection Based on Least Squares Regression with Large Margin

  Language:MATLAB3002

• Zzhousx/SLNMF

  Soft-label guided non-negative matrix factorization for unsupervised feature selection

  Language:MATLAB3101

• IIT-ML/IJCAI23-CFSC

  Language:Python2200

• jshncu/Feature-Selection

  Language:MATLAB1