Alternatives and similar repositories for feature-selector:

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

• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆517Updated 6 years ago
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆763Updated 4 years ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,443Updated last month
• duxuhao / Feature-Selection
  Features selector based on the self selected-algorithm, loss function and validation method
  ☆679Updated 6 years ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,565Updated 8 months ago
• Arturus / kaggle-web-traffic
  1st place solution
  ☆1,842Updated 2 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,622Updated 3 weeks ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆855Updated last year
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆6,979Updated 2 weeks ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆692Updated 8 months ago
• alicezheng / feature-engineering-book
  Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
  ☆1,455Updated 4 years ago
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆632Updated 2 years ago
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,319Updated 6 years ago
• entron / entity-embedding-rossmann
  ☆873Updated 5 years ago
• ClimbsRocks / auto_ml
  [UNMAINTAINED] Automated machine learning for analytics & production
  ☆1,645Updated 4 years ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,769Updated 2 weeks ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆706Updated 4 years ago
• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,514Updated last year
• jundongl / scikit-feature
  open-source feature selection repository in python
  ☆1,538Updated 9 months ago
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆4,996Updated 3 months ago
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,431Updated 2 weeks ago
• yzhao062 / combo
  (AAAI' 20) A Python Toolbox for Machine Learning Model Combination
  ☆650Updated 2 years ago
• sjvasquez / web-traffic-forecasting
  Kaggle | Web Traffic Forecasting 📈
  ☆667Updated 7 years ago
• scikit-multilearn / scikit-multilearn
  A scikit-learn based module for multi-label et. al. classification
  ☆933Updated last year
• ResidentMario / missingno
  Missing data visualization module for Python.
  ☆4,091Updated 11 months ago
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆853Updated 8 months ago
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆677Updated 10 months ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 4 years ago
• scikit-learn-contrib / sklearn-pandas
  Pandas integration with sklearn
  ☆2,828Updated last year
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,044Updated last week