Anaconda Python 3.8.8 with PyGAD Docker image
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Updated
Sep 1, 2021 - Dockerfile
Anaconda Python 3.8.8 with PyGAD Docker image
Train a very small mnist model with genetic algorithm.
A project in which nonogram puzzles are solved using genetic algorithms and swarm intelligence. The project compares the performance and quality of different solutions for different sizes of nonograms. The program was written in python using the pygad and pyswarms packages.
This genetic matching algorithm uses the PyGAD library to group users of StudyJio into groups of five.
Snake GA - Genetic algorithm that solves the Snake game. GA was implemented by PyGAD library available for Python, neural networks was created in Keras and game was created in Pygame.
Hyperparametrization test with a genetic algorithm
Mathematical model, brute-force algorithm, and evolutionary algorithm for solving the internet shopping optimization problem
This repo contains the code for neural network weight optimisation using 4 evolutionary algorithms.
ImageContrastEnhancement is a demonstration of the capabilities of convolutional genetic algorithms in image processing, specifically in the area of contrast enhancement.
A metaheuristic genetic algorithm route inspection problem solver for research purposes
This GitHub repository provides an implementation of a Genetic Algorithm (GA) for finding optimal weights of a Neural Network (NN).
Implementation of Artificial Neural Networks using NumPy
Building Convolutional Neural Networks From Scratch using NumPy
Train PyTorch Models using the Genetic Algorithm with PyGAD
Training Keras Models by the Genetic Algorithm using PyGAD
Python Control System : Create control loops and let the AI set the PID parameters
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