Alternatives and similar repositories for MAHAKIL

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

• syxiaa / RSMOTE
  Oversampling method based on relative density
  ☆13Updated 5 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
• LiangjunFeng / Tri-training
  The python implementation of tri-triaing
  ☆51Updated 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
• kunlaotou / Anomaly-Detection
  异常检测
  ☆161Updated 6 years ago
• Albertsr / Class-Imbalance
  Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
  ☆109Updated 4 years ago
• Albertsr / Anomaly-Detection
  UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
  ☆305Updated 4 years ago
• ZhiningLiu1998 / imbalanced-ensemble
  🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
  ☆399Updated 6 months ago
• felix-last / kmeans_smote
  Oversampling for imbalanced learning based on k-means and SMOTE
  ☆128Updated 4 years ago
• buhuixiezuowendelihua / Anomaly-Detection
  异常值检测算法总结
  ☆198Updated 5 years ago
• Alxe1 / FeatureSelectionsAndExtractions
  feature selections and extractions
  ☆88Updated last year
• Jesen-BT / DES-ICD
  The source code of paper "Dynamic Ensemble Selection for Imbalanced Data Streams with Concept Drift"
  ☆12Updated 2 years ago
• rogeroyer / feature_selection_GAAlgorithm
  基于遗传算法的特征选择
  ☆128Updated 5 years ago
• jia-zhuang / xgboost-lightgbm-hyperparameter-tuning
  Bayesian Optimization and Grid Search for xgboost/lightgbm
  ☆77Updated 8 months ago
• xuman-Amy / preprocessing
  数据预处理之缺失值处理，特征选择
  ☆22Updated 6 years ago
• weepon / feature_selection
  常用的特征选择方法
  ☆67Updated 3 years ago
• wolfkin-hth / FinTech2020
  2020 招商银行FinTech 数据赛道 rank10
  ☆115Updated 5 years ago
• QLMX / data_mining_models
  Basic data mining model, including feature importance display
  ☆469Updated last year
• iamyuanchung / csdnn
  Theano implementation of Cost-Sensitive Deep Neural Networks
  ☆26Updated 7 years ago
• uncleban / 2019_cmb_fintech
  2019招行fintech精英训练营 基于收支记录判断借贷意愿 baseline(第1名)
  ☆104Updated 6 years ago
• hinanmu / MLKNN
  The implementation of the paper 'Ml-knn: A Lazy Learning Approach to Multi-Label Learning' in Pattern Recognition 2006
  ☆43Updated 7 years ago
• analyticalmindsltd / smote_variants
  A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection fea…
  ☆676Updated last year
• luanshiyinyang / DataMiningProject
  包含一些比较常见的数据挖掘竞赛或者项目的源码
  ☆129Updated 6 years ago
• gykovacs / common_datasets
  machine learning databases
  ☆17Updated last year
• tims13 / MachineLearning
  Some toy demos of ML.
  ☆15Updated 4 years ago
• loyalzc / transfer_learning
  Transfer Learning JDA and TrAdaboost
  ☆65Updated 7 years ago
• BackyardofAbela / EnsembleLearning
  包括决策树和随机森林进行离职人员预测，Xgboost和lightGBM的应用
  ☆287Updated 5 years ago
• zhouzl7 / SoftwareDefectPrediction
  ☆17Updated 3 years ago
• Qiuyan918 / Adversarial_Validation_Case_Study
  当样本分布发生变化时，交叉验证无法准确评估模型在测试集上的效果，这时候需要其他构造验证集的方法来应对。
  ☆52Updated 5 years ago
• YC-Coder-Chen / feature-engineering-handbook
  A practical feature engineering handbook
  ☆333Updated 5 years ago