Alternatives and similar repositories for MetaCost

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

• 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
• Albertsr / Class-Imbalance
  Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
  ☆108Updated 4 years ago
• damianhorna / multi-imbalance
  Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
  ☆78Updated last year
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆328Updated last year
• danilkolikov / fsfc
  Feature Selection for Clustering
  ☆96Updated 7 years ago
• OpenIDEA-YunanUniversity / ycimpute
  A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM,…
  ☆107Updated last year
• felix-last / kmeans_smote
  Oversampling for imbalanced learning based on k-means and SMOTE
  ☆128Updated 4 years ago
• chongshengzhang / Multi_Imbalance
  Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)
  ☆46Updated 6 years ago
• CVxTz / DeepTabular
  ☆37Updated 4 years ago
• david-cortes / costsensitive
  (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)
  ☆48Updated 4 months ago
• upup123 / AAAI-2019-AFS
  The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".
  ☆46Updated 6 years ago
• ZhiningLiu1998 / imbalanced-ensemble
  🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
  ☆390Updated 4 months ago
• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆299Updated 5 years ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆245Updated last year
• sbuschjaeger / PyPruning
  Python code to prune ensembles
  ☆13Updated 3 years ago
• suinleelab / treeexplainer-study
  Code and documentation for experiments in the TreeExplainer paper
  ☆186Updated 5 years ago
• SantiagoEG / FCBF_module
  Fast Correlation-Based Feature Selection
  ☆31Updated 8 years ago
• saket-maheshwary / AutoLearn
  AutoLearn, a domain independent regression-based feature learning algorithm.
  ☆30Updated 6 years ago
• jrzaurin / LightGBM-with-Focal-Loss
  An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
  ☆256Updated 5 years ago
• gkapatai / MaatPy
  ☆15Updated 2 years ago
• kaushalshetty / FeatureSelectionGA
  Feature Selection using Genetic Algorithm (DEAP Framework)
  ☆371Updated 2 years ago
• datamole-ai / active-semi-supervised-clustering
  Active semi-supervised clustering algorithms for scikit-learn
  ☆102Updated 5 years ago
• ahcantao / PSOFeatureSelection
  A Particle Swarm Optimization (PSO) for Feature Selection. Using PySwarm.
  ☆53Updated 7 years ago
• pulearn / pulearn
  Positive-unlabeled learning with Python.
  ☆237Updated last week
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆99Updated last year
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆64Updated 2 weeks ago
• doodzhou / OSFS
  Online Streaming Feature Selection
  ☆28Updated 7 months ago
• dialnd / imbalanced-algorithms
  Python-based implementations of algorithms for learning on imbalanced data.
  ☆241Updated 3 years ago
• yzhao062 / MetaOD
  Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)
  ☆185Updated 3 years ago
• analyticalmindsltd / smote_variants
  A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection fea…
  ☆671Updated last year