Topic: "bioinspired-algorithms"
lstrgar/ELDiR
Code for "Evolution and learning in differentiable robots", Strgar et al, proceedings of Robotics: Science and Systems 2024
Language: Jupyter Notebook - Size: 20.9 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 10 - Forks: 1

A-GHOSH-dev/LifeAI-Multiple-Disease-Prediction-ML-AI-Software
LifeAI- Multiple Disease Detection Software
Language: Jupyter Notebook - Size: 29.5 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 3

psfer07/aco
Código para el proyecto de investigación basado en encontrar una ruta óptima de escape usando un algoritmo de colonia de hormigas
Language: JavaScript - Size: 206 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

IanCarmona/Practicas-Algoritmos-Bioinspirados
This repository contains practices of Bioinspired Algorithms, highlighting optimization algorithms such as PSO and genetic algorithms. Explore implementations and applications in optimization problems among others
Language: Python - Size: 5.86 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

oluizcarvalho/percepton_iris
Perceptron na classificação da base de dados Iris
Language: Python - Size: 1.08 MB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

Shrinidhi1/PSO-Kmeans-Hybrid-for-High-Dimensional-Data-Clustering-with-Autoencoder
Enhancing the performance of high dimensional automatic data clustering using Particle Swarm Optimization (PSO) algorithm employing Autoencoder in Stock Market data.
Language: Python - Size: 14.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Priya-cse/PSO-and-KMeans-for-Clustering-High-dimensional-data-using-Autoencoders
Enhancing the Performance of PSO Algorithm for Clustering High dimensional data using Autoencoders
Language: Python - Size: 17.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

davimedio01/natural-computing-algorithms
Store the exercises carried out in the discipline "Computing Inspired by Nature" of the PPGCC of UNESP.
Language: Python - Size: 13 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

marcotulio956/smart.algoAI
Language: Jupyter Notebook - Size: 8.1 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

artik02/ngram
Cross-platform application to solve and build nonograms
Language: Rust - Size: 183 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

pab1s/feature-weight-metaheuristics
This project explores metaheuristic algorithms for feature weight learning in 1NN classification.
Language: C++ - Size: 5.56 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

costadev00/rede_neural_bioinspirada
Rede neural do tipo perceptron, de camada única. O objetivo é treinar de forma rápida e eficiente uma rede neural que poss classificar um tipo de planta em 3.
Language: Python - Size: 501 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Murielly-Nascimento/CompBioinspirada
Este repositório é dedicado a matéria (optativa) de Computação Bioinspirada do curso de Sistemas de Informação da UFU.
Language: Python - Size: 3.85 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Necas209/BIA-NN-Optimization
Source for synthesis report on "Neural Network Optimization using Bio-inspired Algorithms", written in LaTeX.
Language: TeX - Size: 310 KB - Last synced at: 2 days ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

julianapequeno/COMFIBIS
(EN-US) Methodology propose integrated by a software for improvement in process of teaching-learning in Exact Sciences || (PT-BR)Proposta de metodologia integrada mediada por software para melhoria no processo de ensino-aprendizagem em ciências exatas
Language: Java - Size: 3.46 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
