zoofs
GeneticAlgorithmPython
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zoofs | GeneticAlgorithmPython | |
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4 | 17 | |
236 | 1,707 | |
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0.0 | 8.8 | |
5 months ago | 13 days ago | |
Python | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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zoofs
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[D] Feature engineering automation?
and as u described considering you will end up with a lot of features. https://github.com/jaswinder9051998/zoofs for feature selection. Zoofs is a wrapper based feature selection, so you'll be able select feature-based purely on performance if u have a healthy test set or if u perform cross-validation
- [P] Feature Selection for tabular data (Zoofs, python package)
- Zoofs, a feature selection Library
- Zoofs , nature inspired wrapper algorithms
GeneticAlgorithmPython
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PyGAD 3.0.0 Released! A Python Library for Building the Genetic Algorithm and Training Machine Learning Algorithms (Supports Keras and PyTorch)
Docs: https://pygad.readthedocs.io
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Inheritance Mechanics for Creature Generation
Depending on how complex you want this system, you could look at how live stock breeding is modelled. For example https://github.com/ahmedfgad/GeneticAlgorithmPython
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PyGAD: selection, crossover, mutation
PyGAD is
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[D] Shape Generation Algorithm
My pleasure! I'm assuming you're working in Python, so this repo looks like it could be promising (disclaimer: I haven't used it).
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PyGAD 2.16.1 Released: An open-source Python library for building the genetic algorithm and optimizing machine learning models.
The user can use the tqdm library to show a progress bar. https://github.com/ahmedfgad/GeneticAlgorithmPython/discussions/50
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[D] Scipy(Python) or MATLAB for undergraduate project?
Thanks for mentioning PyGAD. OP Please reach out in case any help is needed to get started with PyGAD: https://pygad.readthedocs.io
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PyGAD 2.14.1 Released! An Open-Source Python 3 Library for Building the Genetic Algorithm and Training Machine Learning Algorithms (Keras and PyTorch)
PyGAD is an open-sources Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
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PyGAD (Genetic Algorithm) Plays Flappy Bird
You can find more in the documentation: https://pygad.readthedocs.io
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Data Clustering Using the PyGAD (Genetic Algorithm)
The code examples in this r/Paperspace tutorial are implemented in Python using the PyGAD library.
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PyGAD (Genetic Algorithm) Plays a Complex Level of the CoinTex Game
PyGAD, a Python library for building the genetic algorithm, played CoinTex and was able to pass a complex level with 2 monsters moving randomly and some thrown fires.
What are some alternatives?
scikit-opt - Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
PySR - High-Performance Symbolic Regression in Python and Julia
biteopt - Derivative-Free Global Optimization Method (C++, Python binding)
pyneat - NEAT: NeuroEvolution of Augmenting Topologies
Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.
genetic-algorithm-in-python - A genetic algorithm written in Python for educational purposes.
GARI - GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
deep_learning_and_the_game_of_go - Code and other material for the book "Deep Learning and the Game of Go"
Parameterize.Net - Parameterize.Net is a library that allows developers to represent complex objects using float array.
FlappyBirdPyGAD - Play the Flappy Bird Game using PyGAD (Genetic Algorithm)
NitroFE - NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
pycox - Survival analysis with PyTorch