Skip to main content

No project description provided

Project description

DOI Documentation Status Anaconda-Server Badge


Keras is one of the most widely used Machine Learning frameworks available in the market. It is a high-level API written in Python and that can run on mulitple backends. Their goal is to be able to build and test new model as fast as possible.

Keras models are trained through the usage of optimizers, all of which are Gradient Descent based. This module deals with that shortcoming of Keras by implementing several Evolutionary Algorithms on top of Keras while keeping the main philosophy of the project: it must be easy to prototype.

The default project library now provides support for:

  • Nodal Genetical Algorithm (NGA)
  • Covariance Matrix Adaptation Evolution Strategy (CMA-ES)


evolutionary_keras is available to install from pip and conda using the following commands:

    pip install evolutionary-keras
    conda install evolutionary_keras -c conda-forge

After which it can readily be imported in your python project

    import evolutionary_keras

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for evolutionary-keras, version 2.1
Filename, size File type Python version Upload date Hashes
Filename, size evolutionary_keras-2.1-py3-none-any.whl (23.1 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size evolutionary_keras-2.1.tar.gz (10.4 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page