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PyGAD

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Open source

Open-source project for building the genetic algorithm & training machine learning models.

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Top financial contributors

1
Hyungseok. Seo

$120 USD since Jun 2021

2
Alex

$74 USD since Apr 2023

3
Todd Fine

$65 USD since Dec 2022

4
NH-VII

$5 USD since Jan 2021

PyGAD is all of us

Our contributors 5

Thank you for supporting PyGAD.

Hyungseok. Seo

$120 USD

Alex

$74 USD

Todd Fine

backer

$65 USD

NH-VII

$5 USD

Budget


Transparent and open finances.

Credit from Alex to PyGAD

+$1.00USD
Completed
Contribution #643554

Credit from Alex to PyGAD

+$1.00USD
Completed
Contribution #643554
+$5.00USD
Completed
Contribution #609036
$
Today’s balance

$12.77 USD

Total raised

$214.13 USD

Total disbursed

$201.36 USD

Estimated annual budget

$59.74 USD

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Let’s get the ball rolling!

News from PyGAD

Updates on our activities and progress.

PyGAD 3.3.1

Release Date 17 February 2024 After the last generation and before the run() method completes, update the 2 instance attributes: 1) last_generation_parents 2) last_generation_parents_indices. This is to keep the list of parents up-to-date w...
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Published on February 17, 2024 by Ahmed Fawzy Gad

PyGAD 3.3.0

Release Date 29 January 2024Solve bugs when multi-objective optimization is used. https://github.com/ahmedfgad/GeneticAlgorithmPython/issues/238When the stop_ciite...
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Published on January 29, 2024 by Ahmed Fawzy Gad

PyGAD 3.2.0

Release Date 7 September 2023 1. A new module pygad.utils.nsga2 is created that has the NSGA2 class that includes the functionalities of NSGA-II. The class has these methods: 1) get_non_dominated_set() 2) non_dominated_sorting() 3) crowding...
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Published on September 8, 2023 by Ahmed Fawzy Gad

About


PyGAD is an open-source Python library for building the genetic algorithm. Check its documentation:  https://pygad.readthedocs.io

Our team