Alternatives and similar repositories for feature-selector

Users that are interested in feature-selector are comparing it to the libraries listed below

• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,455Updated 2 months ago
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆764Updated 4 years ago
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆520Updated 6 years ago
• duxuhao / Feature-Selection
  Features selector based on the self selected-algorithm, loss function and validation method
  ☆681Updated 6 years ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,584Updated last year
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,644Updated 4 months ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated last year
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆634Updated 2 years ago
• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,518Updated 2 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆860Updated 11 months ago
• yzhao062 / combo
  (AAAI' 20) A Python Toolbox for Machine Learning Model Combination
  ☆658Updated 2 years ago
• Arturus / kaggle-web-traffic
  1st place solution
  ☆1,842Updated 2 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆708Updated 4 years ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,772Updated 4 months ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆694Updated last year
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆7,028Updated last week
• Yimeng-Zhang / feature-engineering-and-feature-selection
  A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
  ☆1,596Updated 2 years ago
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,329Updated 6 years ago
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,520Updated this week
• jundongl / scikit-feature
  open-source feature selection repository in python
  ☆1,547Updated last year
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,439Updated last year
• alicezheng / feature-engineering-book
  Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
  ☆1,463Updated 5 years ago
• ClimbsRocks / auto_ml
  [UNMAINTAINED] Automated machine learning for analytics & production
  ☆1,654Updated 4 years ago
• scikit-multilearn / scikit-multilearn
  A scikit-learn based module for multi-label et. al. classification
  ☆945Updated last year
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,053Updated 2 months ago
• entron / entity-embedding-rossmann
  ☆872Updated 5 years ago
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆619Updated 5 months ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 5 years ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,767Updated last month