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+.