zeta-learn: Python Machine Learning Library

mnist samples

zeta-learn is a minimalistic python machine learning library designed to deliver fast and easy model prototyping.

zeta-learn aims to provide an extensive understanding of machine learning through the use of straightforward algorithms and readily implemented examples making it a useful resource for researchers and students.

Find this project on Github

  • Python versions: 3.5 and above
  • Free software: MIT license

Dependencies

  • numpy >= 1.15.0
  • scikit-learn >= 0.18.0
  • matplotlib >= 2.0.0

Features

  • Keras like Sequential api for building models.
  • Built on NumPy and matplotlib
  • Examples folder with readily implemented machine learning models.

Support

Indices and tables