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
  ☆1,656Updated 4 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,649Updated 8 months ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,772Updated 8 months ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated 2 years ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,611Updated 2 months ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,473Updated this week
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆761Updated 4 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆708Updated 4 years ago
• HDI-Project / ATM
  Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
  ☆527Updated 5 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆771Updated last year
• andosa / treeinterpreter
  ☆762Updated 2 years ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,807Updated last year
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆637Updated 2 years ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆702Updated 2 months ago
• alteryx / open_source_demos
  A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
  ☆504Updated 2 years ago
• WillKoehrsen / feature-selector
  Feature selector is a tool for dimensionality reduction of machine learning datasets
  ☆2,236Updated last year
• h2oai / h2o-tutorials
  Tutorials and training material for the H2O Machine Learning Platform
  ☆1,499Updated last year
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,437Updated last year
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆520Updated 6 years ago
• autonomio / talos
  Hyperparameter Experiments with TensorFlow and Keras
  ☆1,638Updated last year
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,330Updated 7 years ago
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,595Updated 2 weeks ago
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,394Updated 10 months ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆656Updated last year
• scikit-learn-contrib / sklearn-pandas
  Pandas integration with sklearn
  ☆2,846Updated 2 years ago
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆841Updated this week
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆535Updated last week
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,090Updated this week
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆8,032Updated this week