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Jim Schwoebel edited this page Jul 9, 2019 · 11 revisions

Allie is a framework for building machine learning models from audio, text, image, video, or .CSV files. She is an upgrade from the prior archived NLX-model repository.

Here are some things that Allie can do:

  • featurize fles (via audio, text, image, video, or csv featurizers)
  • train machine learning models (via tpot, hyperopt, scsr, devol, keras training scripts)
  • make predictions from machine learning models (with all models trained in models directory)
  • prepare machine learning models for deployment (including repositories with readmes)