ZesenChen / multi-label-dataset

Related projects ⓘ

Alternatives and complementary repositories for multi-label-dataset

• jiazhang-ml / MDFS
  Manifold Regularized Discriminative Feature Selection for Multi-label Learning (PR'19)
  ☆17Updated 4 years ago
• KKimura360 / MLC_toolbox
  A MATLAB/OCTAVE library for Multi-Label Classification
  ☆35Updated 5 years ago
• hinanmu / MLKNN
  The implementation of the paper 'Ml-knn: A Lazy Learning Approach to Multi-Label Learning' in Pattern Recognition 2006
  ☆42Updated 6 years ago
• LiangjunFeng / Tri-training
  The python implementation of tri-triaing
  ☆50Updated 5 years ago
• chongshengzhang / Multi_Imbalance
  Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)
  ☆46Updated 5 years ago
• tims13 / MachineLearning
  Some toy demos of ML.
  ☆15Updated 3 years ago
• upup123 / AAAI-2019-AFS
  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
  ☆43Updated 5 years ago
• mli / nystrom
  ☆16Updated 12 years ago
• sechidis / 2018-MLJ-Semi-supervised-feature-selection
  Matlab code of the paper "Simple Strategies for Semi-Supervised Feature Selection", published in Machine Learning Journal
  ☆27Updated 6 years ago
• yangarbiter / multilabel-learn
  multilabel-learn: Multilabel-Classification Algorithms
  ☆36Updated 4 years ago
• sepehrband / drawNemenyi
  Publication quality figure for Nemenyi post-hoc test for the Friedman's test
  ☆21Updated 7 years ago
• penghu-cs / MvLDAN
  Multi-view Linear Discriminant Analysis Network for Cross-modal Retrieval and Cross-view Recognition (Keras&Theano Code)
  ☆17Updated 5 years ago
• datamole-ai / active-semi-supervised-clustering
  Active semi-supervised clustering algorithms for scikit-learn
  ☆98Updated 4 years ago
• abhinav4192 / sparse-subspace-clustering-python
  Python implementation of Sparse Subspace Clustering algorithm.
  ☆79Updated 6 years ago
• RuiHuang2018 / MCLS-code
  Manifold-based Constraint Laplacian Score for multi-label feature selection
  ☆10Updated 6 years ago
• LydiaXiaohongLi / TriTraining
  Tri Training, Tri Training with Disagreement
  ☆22Updated 5 years ago
• zhangsz1998 / Self-Expressive-Network
  ☆33Updated last year
• kylejhchen / feature-selection-mRMR
  Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)
  ☆21Updated 9 years ago
• skadio / featureSelection
  [INTERSPEECH 2012] Feature Selection in High-Dimensional Classification
  ☆18Updated 9 years ago
• DUT-DIPLab / Graph-Multi-NMF-Feature-Clustering
  Feature Extraction via Multi-view Non-negative Matrix Factorization with Local Graph Regularization.
  ☆22Updated 9 years ago
• iamyuanchung / csdnn
  Theano implementation of Cost-Sensitive Deep Neural Networks
  ☆26Updated 6 years ago
• jmarrietar / MILpy
  Multiple-Instance Learning Python Toolbox
  ☆20Updated 8 years ago
• yeqinglee / mvdata
  Data sets for multi-view learning.
  ☆81Updated 5 years ago
• liurui39660 / SNNDPC
  Shared Nearest Neighbor-based Clustering by Fast Search and Find of Density Peaks
  ☆52Updated 4 years ago
• Txiaobin / deep-multi-view-feature-learning
  ☆15Updated 5 years ago
• P1Analytics / Pseudo-Label-for-Deep-Neural-Networks
  Semi-Supervised Learning Method for Deep Neural Networks
  ☆28Updated 6 years ago
• giorgioroffo / Infinite-Feature-Selection
  Infinite Feature Selection: a Graph-based Feature Filtering Approach
  ☆37Updated 4 months ago
• Nekooeimehr / MATLAB-Source-Code-Oversampling-Methods
  This repository contains the source code for four oversampling methods that I wrote in MATLAB: 1) SMOTE 2) Borderline SMOTE 3) Safe Level…
  ☆37Updated 8 years ago