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Allie is a framework for building machine learning models from audio, text, image, video, or .CSV files.

Here are some things that Allie can do:

• annotate audio, text, image, or video files (via default annotation scripts)
• featurize files and export data in .CSV format (via audio, text, image, video, or csv featurizers)
• transform features (via scikit-learn preprocessing techniques)
• create visualizations from featurized datasets (via yellowbrick, scikit-learn, and matplotlib libraries)
• train machine learning models (via tpot, hyperopt, scsr, devol, keras, ludwig, and 15 other training scripts)
• make predictions from machine learning models (with all models trained in ./models directory)
• prepare compressed machine learning models for deployment (including repositories with readmes)