Popular GitHub Repositories for Microbial Ga

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.

Prediction google trace data using Functional Link Neural Network and Optimization Algorithms such as GA, PSO, ABC,...

Hyperparameter Optimization for 1D-CNN-Based Network Intrusion Detection Using GA and PSO

A simulator for finding the optimal path of an Autonomous Surface Vehicle (ASV) using Genetic Algorithm (GA) to perform monitoring of an algae blooming in a lake

Exploring the application of a Genetic Algorithm to evolve harmonographs

NYU DS-GA 3001-003 Final Project

gA easy to install/use speach recognition using a webUI with Gradio and faster wisper models (guillaumekln/faster-whisper-large-v2 Is the default)

This project seeks to leverage GA techniques to optimize the hyperparameters of natural language processing models in order to perform essay scoring.

generate plosive voice /ga/ /ka/ sound by pseudo blast impulse, noise source, and two tubes model

Synthetic Data Generation by Genetic Algorithm (GA)

Two population GA for concurrent optimization of feed-forward NN learnable and meta-parameters. Effectively an optimizer alternative to gradient descent based loosely on cooperative co-evolution methodology.

CodeOpt: A framework for optimizing code performance using Two-Stage Sampling, Few-Shot Learning, and Iterative Self-Reflection with support for Genetic Algorithm Inspired Chain-of-Thought (GA-COT).

This Bachelor Thesis (TFG) provides a Python framework simulating absorption-diffusion microbial processes. It includes 1D and 3D solvers and flux maps to analyse nutrient flux towards a central entity (e.g., a diatom) influenced by surrounding consuming entities (e.g., bacteria) under various spatial configurations of bacteria.

A GA-based hyper-parameter search technique for sklearn ML models

A repo to share the code of the NEAT algorithm, to play Atari games.

this is an example of neuroevolution using genetical and neuralnet tools

Platform for experiments in modeling of musical creativity (GA part)

In this project, I implemented genetic algorithm (GA) from scratch using python to select the most impactful features in a dataset.