Alternatives and similar repositories for auto_ml

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

• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,515Updated 2 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,643Updated 5 months ago
• reiinakano / xcessiv
  A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
  ☆1,268Updated 7 years ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,776Updated 4 months ago
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆774Updated last year
• HDI-Project / ATM
  Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
  ☆529Updated 5 years ago
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆708Updated 4 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated last year
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,330Updated 6 years ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,461Updated 2 months ago
• scikit-learn-contrib / sklearn-pandas
  Pandas integration with sklearn
  ☆2,842Updated 2 years ago
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,437Updated last year
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,588Updated last week
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆762Updated 4 years ago
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,537Updated 2 weeks ago
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,134Updated last year
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,941Updated last week
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,793Updated last year
• jpmml / sklearn2pmml
  Python library for converting Scikit-Learn pipelines to PMML
  ☆699Updated last week
• maxpumperla / hyperas
  Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
  ☆2,177Updated 2 years ago
• maxpumperla / elephas
  Distributed Deep learning with Keras & Spark
  ☆1,574Updated 2 years ago
• EpistasisLab / tpot
  A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
  ☆9,980Updated this week
• alteryx / open_source_demos
  A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
  ☆500Updated 2 years ago
• autonomio / talos
  Hyperparameter Experiments with TensorFlow and Keras
  ☆1,637Updated last year
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆863Updated last year
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆521Updated 6 years ago
• WillKoehrsen / feature-selector
  Feature selector is a tool for dimensionality reduction of machine learning datasets
  ☆2,236Updated last year
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆694Updated 2 weeks ago
• automl / autoweka
  Auto-WEKA
  ☆336Updated 3 years ago