ahmedfgad/GeneticAlgorithmPython
PyGAD is an open-source Python library implementing genetic algorithms to optimize machine learning models, including Keras and PyTorch neural networks.
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PyGAD provides a genetic algorithm framework for solving optimization problems, including hyperparameter tuning and training neural networks. It supports single and multi-objective optimization and integrates with popular deep learning frameworks (Keras, PyTorch) as well as NumPy for numerical computation.
Frequently asked
- What is ahmedfgad/GeneticAlgorithmPython?
- PyGAD is an open-source Python library implementing genetic algorithms to optimize machine learning models, including Keras and PyTorch neural networks.
- Is GeneticAlgorithmPython open source?
- Yes — ahmedfgad/GeneticAlgorithmPython is open source, released under the BSD-3-Clause license.
- What language is GeneticAlgorithmPython written in?
- ahmedfgad/GeneticAlgorithmPython is primarily written in Python.
- How popular is GeneticAlgorithmPython?
- ahmedfgad/GeneticAlgorithmPython has 2.2k stars on GitHub.
- Where can I find GeneticAlgorithmPython?
- ahmedfgad/GeneticAlgorithmPython is on GitHub at https://github.com/ahmedfgad/GeneticAlgorithmPython.