Alternatives and similar repositories for AAAI-2019-AFS

Users that are interested in AAAI-2019-AFS are comparing it to the libraries listed below

• weepon / feature_selection
  常用的特征选择方法
  ☆68Updated 3 years ago
• matenure / mvGAE
  Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
  ☆32Updated 6 years ago
• Albertsr / Class-Imbalance
  Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
  ☆107Updated 4 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆78Updated 5 years ago
• hosseinshn / Basic-Multi-task-Learning
  This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
  ☆136Updated 6 years ago
• ZhiningLiu1998 / mesa
  [NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题
  ☆108Updated last year
• yangarbiter / multilabel-learn
  multilabel-learn: Multilabel-Classification Algorithms
  ☆36Updated 5 years ago
• v-mipeng / ClassImbalanceLearning
  This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019
  ☆16Updated 6 years ago
• FutureTwT / PyTorch-Geometric-Study
  关于Pytorch-Geometric的学习，包括官方文档的基本内容和部分API的使用方式，以及官方源码中的示例代码和Pytorch-Geometric的部分源码实现
  ☆21Updated 4 years ago
• ZhiningLiu1998 / self-paced-ensemble
  [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架
  ☆259Updated last year
• xuman-Amy / preprocessing
  数据预处理之缺失值处理，特征选择
  ☆21Updated 6 years ago
• SongDark / DTW_AP
  Affinity Propagation Clustering with DTW distance on temporal sequence classification
  ☆20Updated 6 years ago
• chongshengzhang / Multi_Imbalance
  Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)
  ☆46Updated 6 years ago
• massquantity / Class-Imbalance
  《机器学习之类别不平衡问题》文章代码
  ☆47Updated 6 years ago
• jjrob13 / sklearn_cotraining
  An implementation of the Co-Training semi-supervised learning technique from (Blue, Mitchell 1998) that is meant to work well with scikit…
  ☆74Updated 5 years ago
• felix-last / kmeans_smote
  Oversampling for imbalanced learning based on k-means and SMOTE
  ☆127Updated 4 years ago
• Eilene / GWNN
  A TensorFlow implementation of Graph Wavelet Neural Network
  ☆65Updated 6 years ago
• chenchiwei / tradaboost
  Transfer learning algorithm TrAdaboost,coded by python
  ☆124Updated 2 years ago
• AiXia520 / MLWSE
  Multi-Label Classification with Weighted Classifier Selection and Stacked Ensemble
  ☆14Updated 5 years ago
• CcIsHandsome / -TOP1-
  CCF大数据与计算智能大赛-工件检测TOP1方案
  ☆27Updated 5 years ago
• zhuhm1996 / bgnn
  bilinear graph neural network
  ☆30Updated 5 years ago
• ProcessMonitoringStellenboschUniversity / IFAC-VAE-Imputation
  Demonstration code for missing data imputation using Variational Autoencoders (VAE)
  ☆23Updated 6 years ago
• JacobWang95 / mWDN
  ☆52Updated 6 years ago
• dawnranger / IDEC-pytorch
  Pytorch implementation of Improved Deep Embedded Clustering
  ☆105Updated 6 years ago
• sheryl-ai / MetaPred
  MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records (KDD 2019)
  ☆48Updated 5 years ago
• petecheng / Time2GraphPlus
  Source codes for Time2Graph+ model.
  ☆33Updated 4 years ago
• seongjunyun / CNN-with-Dual-Local-and-Global-Attention
  Implementaion of Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
  ☆122Updated 4 years ago
• dawenzi123 / DAGCN
  Dual Attention Graph Convolutional Network
  ☆89Updated 4 years ago
• hinanmu / MLKNN
  The implementation of the paper 'Ml-knn: A Lazy Learning Approach to Multi-Label Learning' in Pattern Recognition 2006
  ☆43Updated 6 years ago
• phuijse / bagging_pu
  Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles
  ☆94Updated 8 years ago