This is an open source Python package that provides an implementation of techniques inspired by the artificial immune system, enabling the easy and intuitive use of algorithms based on immunology.

Este é um trabalho acadêmico realizado como tarefa da disciplina de Laboratório/Computação Natural no 5º Semestre de Desenvolvimento de Software Multiplataforma.

Conteúdo e trabalhos administrados no 5º semestre de Desenvolvimento de Software Multiplataforma pela disciplina de Laboratório de Computação Natural.

Public Repository for the Natural Computing Class.

MOSAICA computes correlation of sequence complexity and DNA structure by using a prevailing model of DNA curvature prediction and recent experimental data on sequence curvature affinity using MOSAICS, pymol, x3dna, Curves+

Particle Swarm Optimisation, Genetic Algorithm/Programming for (Gradient-Free) Neural Network Optimisation

Tr-iaNet: Transfer Learning Artificial Immune Network for Classification

First practical work for the Natural Computing class at UFMG

A Python implementation of extractive text summarization using Dispersive Flies Optimization (DFO) algorithm. This system uses various DFO variants to optimize sentence selection for generating concise and informative summaries of scientific papers.