Alternatives and similar repositories for RSMOTE

Users that are interested in RSMOTE are comparing it to the libraries listed below

• felix-last / kmeans_smote
  Oversampling for imbalanced learning based on k-means and SMOTE
  ☆127Updated 4 years ago
• xuman-Amy / preprocessing
  数据预处理之缺失值处理，特征选择
  ☆21Updated 6 years ago
• rogeroyer / feature_selection_GAAlgorithm
  基于遗传算法的特征选择
  ☆127Updated 5 years ago
• Alxe1 / FeatureSelectionsAndExtractions
  feature selections and extractions
  ☆88Updated last year
• JinJunRen / GB-SMOTE
  This method is a new oversampling algorithm and can circumvent the deficiency of WK-SMOTE (and SMOTE as well as its variants) caused by r…
  ☆16Updated 2 years ago
• weepon / feature_selection
  常用的特征选择方法
  ☆68Updated 3 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
• gykovacs / common_datasets
  machine learning databases
  ☆16Updated last year
• chongshengzhang / Multi_Imbalance
  Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)
  ☆46Updated 6 years ago
• cainsmile / GA_for_Feature_Selection
  使用遗传算法结合决策树做特征选择/Using genetic algorithm for feature selection with decision tree
  ☆25Updated 7 years ago
• gkapatai / MaatPy
  ☆15Updated 2 years ago
• analyticalmindsltd / smote_variants
  A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection fea…
  ☆668Updated last year
• loyalzc / transfer_learning
  Transfer Learning JDA and TrAdaboost
  ☆65Updated 7 years ago
• alianoroozi / Cost-Sensitive-Learning-By-Genetic
  A python implementation of a genetic algorithm based approach for cost sensitive learning
  ☆8Updated 5 years ago
• ahcantao / PSOFeatureSelection
  A Particle Swarm Optimization (PSO) for Feature Selection. Using PySwarm.
  ☆53Updated 7 years ago
• Albertsr / Class-Imbalance
  Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
  ☆107Updated 4 years ago
• felix-last / evaluate-kmeans-smote
  Evaluate the performance of the oversampling method KMeans-SMOTE
  ☆17Updated 6 years ago
• helenzhao093 / MLMethods
  Implementations of various feature selection methods
  ☆24Updated 4 years ago
• luanshiyinyang / Stacking
  机器学习集成模型之Stacking各类模型及工具源码
  ☆117Updated 4 years ago
• sbuschjaeger / PyPruning
  Python code to prune ensembles
  ☆13Updated 3 years ago
• jia-zhuang / xgboost-lightgbm-hyperparameter-tuning
  Bayesian Optimization and Grid Search for xgboost/lightgbm
  ☆74Updated 5 months ago
• CLaraRR / autoencoder_practice
  AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
  ☆41Updated 5 years ago
• jay15summer / Two-stage-TrAdaboost.R2
  ☆47Updated 7 years ago
• doodzhou / OSFS
  Online Streaming Feature Selection
  ☆27Updated 5 months ago
• chenchiwei / tradaboost
  Transfer learning algorithm TrAdaboost,coded by python
  ☆124Updated 2 years ago
• Treers / MetaCost
  P. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around…
  ☆39Updated 6 years ago
• ZhiningLiu1998 / imbalanced-ensemble
  🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
  ☆372Updated 2 months ago
• Albertsr / Anomaly-Detection
  UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
  ☆298Updated 4 years ago
• raemonx / PSO-FS
  Wrapper Based feature selection using Particle Swarm Optimization
  ☆12Updated 6 years ago
• Jesen-BT / DES-ICD
  The source code of paper "Dynamic Ensemble Selection for Imbalanced Data Streams with Concept Drift"
  ☆12Updated 2 years ago