Alternatives and similar repositories for featexp

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

• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆520Updated 6 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆707Updated 4 years ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆326Updated 5 years ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆702Updated last month
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated 2 years ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆553Updated 2 years ago
• h2oai / pystacknet
  ☆296Updated 3 years ago
• entron / entity-embedding-rossmann
  ☆871Updated 5 years ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆432Updated 8 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆366Updated 5 years ago
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,330Updated 7 years ago
• Far0n / kaggletils
  ☆384Updated 8 years ago
• Ibotta / sk-dist
  Distributed scikit-learn meta-estimators in PySpark
  ☆286Updated 7 months ago
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆382Updated 3 years ago
• alteryx / open_source_demos
  A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
  ☆504Updated 2 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• andosa / treeinterpreter
  ☆762Updated 2 years ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,470Updated 3 weeks ago
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆638Updated 2 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,649Updated 7 months ago
• sjvasquez / web-traffic-forecasting
  Kaggle | Web Traffic Forecasting 📈
  ☆666Updated 7 years ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆619Updated 8 months ago
• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,523Updated 2 years ago
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆501Updated 8 years ago
• MLWave / Kaggle-Ensemble-Guide
  Code for the Kaggle Ensembling Guide Article on MLWave
  ☆1,598Updated 8 years ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,773Updated 7 months ago
• viisar / brew
  ⛔️ DEPRECATED brew: Python Ensemble Learning API
  ☆303Updated 7 years ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,599Updated 3 weeks ago
• lancifollia / tinygbt
  A Tiny, Pure Python implementation of Gradient Boosted Trees.
  ☆255Updated 5 years ago
• WillKoehrsen / feature-selector
  Feature selector is a tool for dimensionality reduction of machine learning datasets
  ☆2,238Updated last year