Alternatives and similar repositories for DESlib

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

• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆492Updated last year
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆328Updated last year
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆635Updated 2 years ago
• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆244Updated 2 years ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆694Updated 2 weeks ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆213Updated 2 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
• yzhao062 / combo
  (AAAI' 20) A Python Toolbox for Machine Learning Model Combination
  ☆660Updated 2 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated last year
• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆299Updated 5 years ago
• baosenguo / Kaggle-MoA-2nd-Place-Solution
  ☆169Updated 4 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• dialnd / imbalanced-algorithms
  Python-based implementations of algorithms for learning on imbalanced data.
  ☆241Updated 3 years ago
• h2oai / pystacknet
  ☆292Updated 3 years ago
• guitarmind / kaggle_moa_winner_hungry_for_gold
  Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.
  ☆121Updated 3 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆708Updated 4 years ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆363Updated 3 years ago
• Ibotta / sk-dist
  Distributed scikit-learn meta-estimators in PySpark
  ☆286Updated 4 months ago
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆524Updated 5 months ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆206Updated 5 years ago
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆468Updated last year
• awslabs / datawig
  Imputation of missing values in tables.
  ☆491Updated last year
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆619Updated 5 months ago
• mwburke / population-stability-index
  Python implementation of the population stability index (PSI)
  ☆142Updated last year
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆762Updated 4 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
• PacktPublishing / Feature-Engineering-Made-Easy
  Feature Engineering Made Easy, published by Packt
  ☆216Updated 2 years ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆838Updated 7 months ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆410Updated 5 months ago