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.
  ☆1,519Updated 2 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,644Updated 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
  ☆2,775Updated 5 months ago
• HDI-Project / ATM
  Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
  ☆529Updated 5 years ago
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,332Updated 7 years ago
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆762Updated 4 years ago
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆709Updated 4 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆859Updated last year
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆774Updated last year
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,440Updated last year
• maxpumperla / elephas
  Distributed Deep learning with Keras & Spark
  ☆1,573Updated 2 years ago
• scikit-learn-contrib / sklearn-pandas
  Pandas integration with sklearn
  ☆2,843Updated 2 years ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,462Updated 3 months ago
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,957Updated last month
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,543Updated this week
• tensorflow / adanet
  Fast and flexible AutoML with learning guarantees.
  ☆3,458Updated last year
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,590Updated last month
• RJT1990 / pyflux
  Open source time series library for Python
  ☆2,134Updated last year
• alteryx / open_source_demos
  A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
  ☆501Updated 2 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• maxpumperla / hyperas
  Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
  ☆2,177Updated 2 years ago
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆520Updated 6 years ago
• automl / autoweka
  Auto-WEKA
  ☆334Updated 3 years ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,794Updated last year
• jpmml / sklearn2pmml
  Python library for converting Scikit-Learn pipelines to PMML
  ☆699Updated last week
• entron / entity-embedding-rossmann
  ☆873Updated 5 years ago
• EpistasisLab / tpot
  A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
  ☆9,991Updated 3 weeks ago
• autonomio / talos
  Hyperparameter Experiments with TensorFlow and Keras
  ☆1,638Updated last year