Ventaly

Ventaly's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python168k1.5k2.8k44.3k

• TheKingOfDuck/fuzzDicts

  Web Pentesting Fuzz 字典,一个就够了。

  Language:Python7.5k157102.4k

• xugaoyi/vuepress-theme-vdoing

  🚀一款简洁高效的VuePress知识管理&博客(blog)主题

  Language:Vue4.5k386371.2k

• linhaojun857/aurora

  基于SpringBoot+Vue开发的个人博客系统

  Language:Java4k2157664

• hushidong/biblatex-gb7714-2015

  A biblatex implementation of the GB/T7714-2015 bibliography style || GB/T 7714-2015 参考文献著录和标注的biblatex样式包

  Language:TeX7691518384

• QData/C-Tran

  General Multi-label Image Classification with Transformers

  Language:Python24983043

• reineking/pyds

  A Python library for performing calculations in the Dempster-Shafer theory of evidence.

  Language:Python1327550

• ooooxianyu/yoloV5-arcface_forlearn

  简单拼接一些源码，实现的人脸识别项目。可供学习参考。具体使用到：yolov5人脸检测、arcface人脸识别。

  Language:Python840321

• hellckt/SHMTUThesis

  上海海事大学 LaTeX 学位论文模板

  Language:TeX4931415

• rivolli/utiml

  Utilities for multi-label learning

  Language:R286167

• skyline0623/K-meansCluster

  A java implementation of k-means algorithm.It uses ball tree as internal data structure to accelerate the computation.It uses 2-norm distance to compute the similarity between instances.

  Language:Java275126

• fcharte/mldr

  R package for analyzing and manipulating multilabel datasets

  Language:R228368

• mrapp-ke/Boomer

  A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-label Classification Rules

  20363

• i02momuj/MLDA

  MLDA: Multi-Label Dataset Analyzer

  Language:Java13417

• phiyodr/multilabel-oversampling

  Many algorithms for imbalanced data support binary and multiclass classification only. This approach is made for mulit-label classification (aka multi-target classification). :sunflower:

  Language:Python11211

• leyouBaloy/warmreminder

  :star:爬取鸡汤和毒鸡汤，用腾讯云函数每天晚上给指定邮箱发送问候消息:star:

  Language:Python92

• jiazhang-ml/GLFS

  Group-preserving label-specific feature selection for multi-label learning (ESWA'23)

  Language:MATLAB6

• Light--/ML-ROS-multi-label-random-oversampling

  unofficial Pytorch implementation of ML-ROS in Addressing imbalance in multi-label classification Measures and random resampling algorithms

  Language:Python6201

• ruchi-9/MLSMOTE

  MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation

  Language:MATLAB510

• coksvictoria/SMOTE-CDNN

  Hybrid sampling method combines SMOTE and Edited CDNN

  Language:Jupyter Notebook410

• fdavidcl/cometa

  Comprehensive multi-label data archive

  Language:CSS4350

• kdis-lab/EME

  EME: Evolutionary Multi-label Ensemble

  Language:Java4300

• baguspurnama98/Heterogeneous-Ensembles-Method-for-Text-Classification

  An implementation of Heterogeneoud Ensembles Methods for Multi-label Text Classification

  Language:Jupyter Notebook3100

• Masuyama-lab/MLCA

  Multi-label CIM-based ART

  Language:MATLAB31

• pro-grepper-org/multi-label-classification

  A multi label classification for identifying the most probabilistic companies a problem might be asked upon in its interview. It includes several approaches like label transformation, algorithm adaption, ensemble learning and LSTM. Base classifiers like Gaussian NB, Multinomial NB, Logistic Regression, Descision Tree, Random Forest and SVC is used.

  Language:Jupyter Notebook3002

• Seal-Li/Multi-label-imbalance

  Language:Python3

• jose-jvmas/imbalance-MPG_IbPRIA23

  Language:Python2100

• jusdesoja/iBelief_python

  Language:Python2200

• oscglezm/Multilabel-dataset-GUI

  Desktop application built on JAVA to measure the behavior of multi-label datasets for Clasification task in Machine learning.

  Language:Java2200

• coksvictoria/ECDNN

  Ensemble Centroid Displacement-based $k$-NN (ECDNN)

  Language:Jupyter Notebook1