Awesome Automated Machine Learning (AutoML)

   

Auto-sklearn

Auto-sklearn is using the Python library scikit-learn which is a drop-in replacement for regular scikit-learn classifiers and regressors.

Installing auto-sklearn

• Linux
  • pip

      python3 -m venv autosklearn-env
      source autosklearn-env/bin/activate   # activate
      pip3 install auto-sklearn

    In order to check your installation, you can use:

      python3 -m pip show auto-sklearn      # show auto-sklearn version and location
      python3 -m pip freeze                 # show all installed packages in the environment
      python3 -c "import auto-sklearn; auto-sklearn.show_versions()"

  • conda

    conda create --name autosklearn-env
    conda activate autosklearn-env          # activate
    conda install auto-sklearn

    In order to check your installation, you can use:

      conda list auto-sklearn               # show auto-sklearn version and location
      python3 -c "import auto-sklearn; auto-sklearn.show_versions()"

Auto-PyTorch

Auto-PyTorch is based on the deep learning framework PyTorch and jointly optimizes hyperparameters and the neural architecture.

AutoKeras

AutoKeras: An AutoML system based on Keras.

AutoKeras is based on Keras so recommend using the PyTorch backend. Please follow this page to install PyTorch.

• Linux
  • pip

      python3 -m venv autokeras-env
      source autokeras-env/bin/activate   # activate
      pip3 install autokeras

    In order to check your installation, you can use:

  • conda

    conda create --name autokeras-env
    conda activate autokeras-env          # activate

    In order to check your installation, you can use:

My Other Awesome Lists

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Contributing

Contributions of any kind welcome, just follow the guidelines!

Contributors

Thanks goes to these contributors!

License

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