mealpy

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thieu1995 / MHA-FS

The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.

machine-learning optimization genetic-algorithm feature-selection feature-extraction dimensionality-reduction feature-engineering lda decision-tree-classifier svm-classifier pso classification-model cnn-classification knn-classifier whale-optimization harris-hawks-optimization equilibrium-optimizer mealpy

Updated Jun 15, 2023
Python

thieu1995 / MetaCluster

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MetaCluster: An Open-Source Python Library for Metaheuristic-based Clustering Problems

genetic-algorithm classification kmeans unsupervised-learning kmeans-clustering particle-swarm-optimization global-search clustering-methods k-center-problem whale-optimization-algorithm mealpy metaheuristic-based-clustering

Updated Dec 7, 2023
Python

thieu1995 / MHA-TSP

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Meta-Heuristic Algorithm for Travelling Salesman Problem

genetic-algorithm tsp particle-swarm-optimization soft-computing discrete-optimization swarm-intelligence travelling-salesman-problem meta-heuristic-algorithm nature-inspired-algorithms approximation-algorithm whale-optimization-algorithm mealpy

Updated May 20, 2022
Python

thieu1995 / mealpy-classification

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Hyper-parameter tuning of classification model with Mealpy

svm genetic-algorithm mlp particle-swarm-optimization multiclass-classification classification-model hyper-parameter-tuning cnn-classification meta-heuristic-algorithms mealpy

Updated Oct 4, 2022
Python

thieu1995 / mealpy-timeseries

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Hyper-parameter tuning of Time series forecasting models with Mealpy

machine-learning neural-network genetic-algorithm mlp differential-evolution svr hyper-parameter-tuning time-series-forecasting meta-heuristic-algorithms mealpy

Updated Oct 4, 2022
Python

thieu1995 / mealpy-text-classification

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Text classification with Machine Learning and Mealpy

machine-learning deep-learning neural-network random-forest genetic-algorithm cnn lstm gru naive-bayes-classifier convolutional-neural-networks bagging text-classifier hyper-parameter-tuning meta-heuristic-algorithm linear-classification svc-svm mealpy

Updated Oct 4, 2022
Python

thieu1995 / EvoRBF

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EvoRBF: Evolving Radial Basis Function Network by Intelligent Nature-inspired Algorithms

machine-learning neural-network genetic-algorithm regression classification evolutionary-algorithms local-search particle-swarm-optimization radial-basis-function swarm-intelligence global-search nature-inspired-algorithms metaheuristic-algorithms gradient-free-optimization whale-optimization-algorithm radial-basis-function-network mealpy gradient-free-rbf

Updated May 11, 2024
Python

Jayveersinh-Raj / Nature_Inspired_Computing_Labs

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Solutions for Labs of Nature Inspired Computing course offered at Innopolis University

genetic-programming ant-colony-optimization cuckoo-search particle-swarm-optimization rosenbrock-function beale grey-wolf-optimizer scikit-opt mealpy

Updated Dec 13, 2022
Jupyter Notebook

thieu1995 / BIO-ANFIS

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BIO-ANFIS: A Bio-inspired Optimization Framework for Improving ANFIS Networks

machine-learning neural-network regression classification global-search anfis-network fuzzy-neural-network metaheuristic-algorithms nature-inspired mealpy fuzzy-system artificial-neural-fuzzy-inspired-system adaptive-neuro-fuzzy-inference-system metaheuristic-based-anfis nature-inspired-computing-based-anfis

Updated Aug 8, 2023

biad-iritie / Naive_Bayes-with-RKDE_HHO

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Proposing a novel approach on using Naives Bayes by using Robust Kernel Density Estimation (RKDE) and optimising the bandwith(h) with Harris Hawks Optimization (HHO)