Skip to main content

A small library of single and multi-objective genetic algorithms build with Tensorflow

Project description

Genetic Algorithms with Tensorflow (GATF)

Gitlab | PyPI | ReadTheDocs

Genetic algorithms built with Tensorflow for optimizing objective functions built with Tensorflow

Installation

Installation should be in a conda or virtualenv environment. Install dependencies into the environment first then install GATF using pip:

pip install gatf

Dependencies:

  • Python >=3.7
  • Numpy 1.21
  • Tensorflow 2.9

Other versions are expected to work but have not been tested.

Usage

See the ReadTheDocs for documentation and example usage

Contributors

Contributions are welcome! If you want something new, fork the repository and then make a merge request to have it implemented.

Bugs

Create an issue on Gitlab and I'll do my best to address it quickly.

Project details


Download files

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

Source Distribution

gatf-0.3.2.tar.gz (15.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gatf-0.3.2-py3-none-any.whl (16.4 kB view details)

Uploaded Python 3

File details

Details for the file gatf-0.3.2.tar.gz.

File metadata

  • Download URL: gatf-0.3.2.tar.gz
  • Upload date:
  • Size: 15.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for gatf-0.3.2.tar.gz
Algorithm Hash digest
SHA256 bfd15b386b97de9790e2413a2a75a247306500a3c213d4464b044aa6eb77b664
MD5 29e891b8e0d20eeaf8e95f4fea3487a4
BLAKE2b-256 964ac41199aedf08895bb325dce3ee55b31803784f4f798ecc6280d7ce0de98f

See more details on using hashes here.

File details

Details for the file gatf-0.3.2-py3-none-any.whl.

File metadata

  • Download URL: gatf-0.3.2-py3-none-any.whl
  • Upload date:
  • Size: 16.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for gatf-0.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 ca0f9055a2dc00c3683c85f0645bbaea8c3841f6d439166fff84f1acd4878a2b
MD5 457f8fa9d7c4273ca024e3bd8fab1aaa
BLAKE2b-256 ca87806c420c65493edd4d36bf47530b9141f64aec6194b01ff8f5cee55ca5b7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page