Alternatives and similar repositories for auto-sklearn

Users that are interested in auto-sklearn are comparing it to the libraries listed below

• EpistasisLab / tpot
  A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
  ☆10,037Updated 3 months ago
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,592Updated last week
• keras-team / autokeras
  AutoML library for deep learning
  ☆9,288Updated last month
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆7,075Updated 2 weeks ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,591Updated last month
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,392Updated 10 months ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,807Updated last year
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,089Updated this week
• scikit-learn-contrib / sklearn-pandas
  Pandas integration with sklearn
  ☆2,846Updated 2 years ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,772Updated 8 months ago
• ClimbsRocks / auto_ml
  [UNMAINTAINED] Automated machine learning for analytics & production
  ☆1,655Updated 4 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,649Updated 8 months ago
• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,525Updated 2 years ago
• h2oai / h2o-3
  H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random F…
  ☆7,461Updated this week
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,473Updated this week
• automl / Auto-PyTorch
  Automatic architecture search and hyperparameter optimization for PyTorch
  ☆2,515Updated last year
• blue-yonder / tsfresh
  Automatic extraction of relevant features from time series:
  ☆9,069Updated last month
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,145Updated 2 weeks ago
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,437Updated last year
• maxpumperla / hyperas
  Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
  ☆2,177Updated 3 years ago
• DEAP / deap
  Distributed Evolutionary Algorithms in Python
  ☆6,303Updated last month
• snorkel-team / snorkel
  A system for quickly generating training data with weak supervision
  ☆5,933Updated last year
• mljar / mljar-supervised
  Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
  ☆3,231Updated 6 months ago
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,755Updated 2 weeks ago
• pycaret / pycaret
  An open-source, low-code machine learning library in Python
  ☆9,662Updated 8 months ago
• keras-team / keras-tuner
  A Hyperparameter Tuning Library for Keras
  ☆2,916Updated last month
• ResidentMario / missingno
  Missing data visualization module for Python.
  ☆4,180Updated last year
• parrt / dtreeviz
  A python library for decision tree visualization and model interpretation.
  ☆3,115Updated last week
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,610Updated last month
• marcotcr / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆12,084Updated last year