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

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

Meta-Heuristic Algorithm for Travelling Salesman Problem

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

GrafoRVFL: A Gradient-Free Optimization Framework for Boosting Random Vector Functional Link Network

Hyper-parameter tuning of classification model with Mealpy

Text classification with Machine Learning and Mealpy

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)

Hyper-parameter tuning of Time series forecasting models with Mealpy