Alternatives and similar repositories for MLBox

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

• ClimbsRocks / auto_ml
  [UNMAINTAINED] Automated machine learning for analytics & production
  ☆1,653Updated 4 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,649Updated 7 months ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,773Updated 7 months ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,469Updated 2 weeks ago
• andosa / treeinterpreter
  ☆762Updated 2 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated 2 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,599Updated 3 weeks ago
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆761Updated 4 years ago
• HDI-Project / ATM
  Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
  ☆528Updated 5 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
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆707Updated 4 years ago
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,331Updated 7 years ago
• WillKoehrsen / feature-selector
  Feature selector is a tool for dimensionality reduction of machine learning datasets
  ☆2,237Updated last year
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆773Updated last year
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,803Updated last year
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆701Updated last month
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆520Updated 6 years ago
• autonomio / talos
  Hyperparameter Experiments with TensorFlow and Keras
  ☆1,639Updated last year
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,439Updated last year
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,582Updated last month
• scikit-learn-contrib / sklearn-pandas
  Pandas integration with sklearn
  ☆2,847Updated 2 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆651Updated last year
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,384Updated 9 months ago
• ragulpr / wtte-rnn
  WTTE-RNN a framework for churn and time to event prediction
  ☆780Updated 5 years ago
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,169Updated 3 weeks ago
• reiinakano / xcessiv
  A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
  ☆1,267Updated 7 years ago
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,138Updated 2 years ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆326Updated 5 years ago
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,084Updated 5 months ago