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Gustavo Rosa edited this page Jun 10, 2020 · 3 revisions

Welcome to Learnergy.

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.

Read the docs at learnergy.readthedocs.io.

Learnergy is compatible with: Python 3.6+.

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