Welcome to Learnergy’s documentation!

Did you ever reach a bottleneck in your computational experiments? Are you tired of implementing your own techniques? If yes, Learnergy is the real deal! This package provides an easy-to-go implementation of energy-based machine learning algorithms. From datasets to fully-customizable models, from internal functions to external communication, we will foster all research related to energy-based machine learning.

Use Learnergy if you need a library or wish to:

  • Create your energy-based machine learning algorithm;

  • Design or use pre-loaded learners;

  • Mix-and-match different strategies to solve your problem;

  • Because it is incredible to learn things.

Learnergy is compatible with: Python 3.6+.

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