The Criteria Pattern is a Python 🐍 package that simplifies and standardizes criteria based filtering 🤏🏻, validation and selection.

Culebra is a DEAP-based evolutionary computation library designed to solve feature selection problems.

Fast phylogenetic model fitting and hypothesis tests of codon-based models using a python+rust structure 🦀

Evolutionary simulations for Prisoner's Dilemma

Hiring Assessment Mercer

Helpers for parsing user input, generating menus, transforming data, making comparisons, flexible argument acceptance (string to list/set), regex matching, and more

Py English Pronunciation is a python application that provides a good test for your English pronunciation

this is a classic car game made with bricks, and using a reinforcement learning AI, Q learning.

Repositório do curso: Python 3 do básico ao avançado - com projetos reais.

General genetic algorithm

Simple Python implementation of an algorithm to find the maximum and minimum values in an array.

GIMP Plugin to refine a selection using a neural network

This repository contains the software used in the paper "Evolution of Spots and Stripes in Cellular Automata".

perform a test for episodic diversifying selection for a list of gene families

A codeml (PAML package) wrapper to make life easier. Dummy input unaligned multi-species fasta file (a single gene), and output codeml result.

Repository with all scripts for Sarabia, Salado et al. (2024) Potential Adaptive Introgression From Dogs in Iberian Grey Wolves (Canis lupus)

I developed this project to delve into Genetic Algorithms and their application to optimization problems. Feel free to explore the code, run the algorithm, and share your feedback.

Solving a single constraint binary (0-1) Knapsack problem using the concept of Genetic Algorithms

This repository hosts the software package for BalLeRMix+, an extension of BalLeRMix that can jointly detect recent positive selection and long-term balancing selection.

In this repository, there are algorithms to solve the 8-queens problem.